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MedCalc Connect!™ Catalog   A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z     A   A-a Gradient   Source File: AAGradient.eq     Equation: p_Atm = 760 * eTo(Elevation / -7000) Result unit:   Equation: p_H2O = 47 * eTo((Patient_Temp - 37) / 18.4) Result unit:   Equation: FIO2 = Percent_Inspired_O2 / 100 Result unit:   Equation: Expected_AaG = 2.5 + (0.21 * Age) Result unit: mmHg   Equation: Measured_AaG = (FIO2 * (p_Atm - p_H2O)) - (p_CO2 / Resp_Quot) + (p_CO2 * FIO2 * (1 - Resp_Quot) / Resp_Quot) - p_aO2 Result unit: mmHg   Variable: Age Unit: yr   Variable: Patient_Temp Unit: degC Default value: 37 Maximum value: 50   Variable: Elevation Unit: m Maximum value: 10000   Variable: Percent_Inspired_O2 Unit: %O2 Default value: 21 Minimum value: 1 Maximum value: 100   Variable: p_CO2 Unit: mmHg   Variable: Resp_Quot Unit: ratio Default value: 0.8 Minimum value: 0.01 Maximum value: 100   Variable: p_aO2 Unit: mmHg     a/A Ratio   Source File: AARatio.eq     Equation: aAR = p_aO2 / (( p_Atm - p_H2O) * FIO2/100 - ( p_CO2 / Resp_Quot )) Result unit: ratio   Variable: p_Atm Unit: mmHg Default value: 760   Variable: p_H2O Unit: mmHg Default value: 47   Variable: FIO2 Unit: %O2 Default value: 21 Maximum value: 100   Variable: p_CO2 Unit: mmHg   Variable: Resp_Quot Unit: ratio Default value: 0.8 Minimum value: 0.01 Maximum value: 100   Variable: p_aO2 Unit: mmHg     AaPO2 Correction for FIO2   Source File: AaPO2Correction.eq     Equation: AaPO2_Corrected = 21 * AaPO2 / FIO2 Result unit: torr   Variable: AaPO2 Unit: torr   Variable: FIO2 Unit: %     Absolute Lymphocyte Count   Source File: AbsLymphocyteCnt.eq     Equation: ALC = WBC * Lymphs / 100 Result unit: #   Variable: WBC Unit: #   Variable: Lymphs Unit: %     Absolute Neutrophil Count   Source File: AbsNeutrophileCnt.eq     Equation: ANC = WBC * ((Segs/100) + (Bands/100)) Result unit: #   Variable: WBC Unit: #   Variable: Segs Unit: %   Variable: Bands Unit: %     Absolute Reticulocyte Count   Source File: AbsReticCnt.eq     Equation: ARC = Retic_Percent * HCT / 45 Result unit: #   Variable: Retic_Percent Unit: %   Variable: HCT Unit: %     Acetaminophen (Paracetamol) Toxicity Assessment   Source File: AcetaminophenTox.cc     Equation: ToxLevel = eTo(5.298317 - ((Hours_After_Ingestion - 4) * 0.1732868)) Result unit:   Equation: RxLevel = ToxLevel - (0.25 * ToxLevel) Result unit:   Variable: Hours_After_Ingestion Unit: Hours Minimum value: 4 Maximum value: 24   Variable: Acetaminophen_Level Unit: mcg/mL_acet     Alcoholic Liver Disease: Criteria for One Year Mortality Prognosis   Source File: AlcLiverDxSeverity.cc     Equation: LR_Score = 6 + (1.03 * Enceph)- (2.5 * Hb / Normal_Hb) - (1.56 * Albumin) Result unit: score   Equation: Mortality = 100 * eTo(LR_Score) / (1 + eTo(LR_Score)) Result unit: %   Radio Button Variable: Normal_Hb Discrete variable option: Male Variable value: 15 Discrete variable option: Female Variable value: 14   Variable: Hb Unit: gm/dL   Variable: Albumin Unit: gm/dL   Radio Button Variable: Enceph Discrete variable option: Grade 1 Variable value: 1 Discrete variable option: Grade 2 Variable value: 2 Discrete variable option: Grade 3 Variable value: 3     Allowable Blood Loss   Source File: AllowableBloodLoss.eq     Equation: Blood_Vol = Weight * Avg_Blood_Vol Result unit: mL   Equation: Allowable_Loss = Blood_Vol * ln( Initial_Hct / Final_Hct ) Result unit: mL   Variable: Weight Unit: kg   Radio Button Variable: Avg_Blood_Vol Discrete variable option: Men Variable value: 75 Discrete variable option: Women Variable value: 65 Discrete variable option: Infants Variable value: 80 Discrete variable option: Neonates Variable value: 85 Discrete variable option: Premature Neonates Variable value: 96   Variable: Initial_Hct Unit: %   Variable: Final_Hct Unit: %     Amikacin Dosing q24hr (also Kanamycin and Streptomycin)   Source File: AmikacinDosing.eq     Equation: Dose = Renal_Factor * Weight Result unit: mg   Radio Button Variable: Renal_Factor Discrete variable option: Creat Clear > 80 Variable value: 15 Discrete variable option: Creat Clear 60-80 Variable value: 12 Discrete variable option: Creat Clear 40-60 Variable value: 7.5 Discrete variable option: Creat Clear 30-40 Variable value: 4   Variable: Weight Unit: kg     Amikacin Dosing to Produce Desired Peak and Trough Levels   Source File: AmikacinDosingForLevels.cp     Equation: IBW = Math.abs(Height > 60) * (2.3 * (Height - 60)) + IBW_Sex Result unit: kg   Equation: DW = Math.abs(Weight > (1.2 * IBW)) * (0.4 * (Weight - IBW)) + IBW Result unit: kg   Equation: CrCl = ((140 - Age) * (Weight_CrCl / (Serum_Creat * 72))) * CrCl_Sex Result unit: mL/min   Equation: Ke = (0.0024 * CrCl) + 0.01 Result unit: hr-1   Equation: Half_Life = 0.693 / Ke Result unit: hr   Equation: VD = DW * Distribution_Factor Result unit: L   Equation: Dosing_Interval = ((1 / Ke) * ln(Desired_Peak / Desired_Trough)) + Infusion_Time Result unit: hr   Equation: Loading_Dose = (VD * Infusion_Time * Ke * Desired_Peak) / (1 - eTo(-Ke * Infusion_Time)) Result unit: mg   Equation: Maintenance_Dose = (VD * Infusion_Time * Ke * Desired_Peak * (1 - eTo(-Ke * Dosing_Interval))) / (1 - eTo(-Ke * Infusion_Time)) Result unit: mg   Variable: Age Unit: yr   Variable: Height Unit: in   Variable: Weight Unit: kg   Variable: Serum_Creat Unit: mg/dL   Radio Button Variable: Distribution_Factor Discrete variable option: 0.25 L/kg Variable value: 0.25 Discrete variable option: 0.30 L/kg Variable value: 0.3 Discrete variable option: 0.35 L/kg Variable value: 0.35   Variable: Infusion_Time Unit: hr Default value: 0.5   Variable: Desired_Peak Unit: mg/L   Variable: Desired_Trough Unit: mg/L     Amikacin Level Prediction from Maintenance Dosing   Source File: AmikacinLevelPrediction.cp     Equation: IBW = Math.abs(Height > 60) * (2.3 * (Height - 60)) + IBW_Sex Result unit: kg   Equation: DW = Math.abs(Weight > (1.2 * IBW)) * (0.4 * (Weight - IBW)) + IBW Result unit: kg   Equation: CrCl = ((140 - Age) * (Weight_CrCl / (Serum_Creat * 72))) * CrCl_Sex Result unit: mL/min   Equation: Ke = (0.0024 * CrCl) + 0.01 Result unit: hr-1   Equation: Half_Life = 0.693 / Ke Result unit: hr   Equation: VD = DW * Distribution_Factor Result unit: L   Equation: Predicted_Peak = (Dose * (1 - eTo(-Ke * Infusion_Time))) / (Ke * VD * Infusion_Time * (1 - eTo(-Ke * Dose_Interval))) Result unit: mg/L   Equation: Predicted_Trough = Predicted_Peak * eTo(-Ke * (Dose_Interval - Infusion_Time)) Result unit: mg/L   Variable: Age Unit: yr   Variable: Height Unit: in   Variable: Weight Unit: kg   Variable: Serum_Creat Unit: mg/dL   Radio Button Variable: Distribution_Factor Discrete variable option: 0.25 L/kg Variable value: 0.25 Discrete variable option: 0.30 L/kg Variable value: 0.3 Discrete variable option: 0.35 L/kg Variable value: 0.35   Variable: Dose Unit: mg   Variable: Dose_Interval Unit: hr   Variable: Infusion_Time Unit: hr Default value: 0.5     Amikacin Steady State Dosage Adjustment   Source File: AmikacinSteadyState.cp     Equation: Ke = (ln(Measured_Peak) - ln(Measured_Trough))/(Trough_Hours_After_Dose - Peak_Hours_After_Dose) Result unit: hr-1   Equation: Half_Life = 0.693 / Ke Result unit: hr   Equation: VD = Current_Dose * (1 - eTo(-Ke * Infusion_Time))/ (Ke * Infusion_Time * (Measured_Peak - (Measured_Trough * eTo(-Ke * Infusion_Time)))) Result unit: L   Equation: New_Dosing_Interval = ((1 / Ke) * ln(Desired_Peak / Desired_Trough)) + Infusion_Time Result unit: hr   Equation: New_Dose = VD * Infusion_Time * Ke * Desired_Peak * (1 - eTo(-Ke * New_Dosing_Interval))/ (1 - eTo(-Ke * Infusion_Time)) Result unit: mg   Variable: Current_Dose Unit: mg   Variable: Infusion_Time Unit: hr Default value: 0.5   Variable: Measured_Peak Unit: mg/L   Variable: Peak_Hours_After_Dose Unit: hr   Variable: Measured_Trough Unit: mg/L   Variable: Trough_Hours_After_Dose Unit: hr   Variable: Desired_Peak Unit: mg/L   Variable: Desired_Trough Unit: mg/L     Aminoglycoside Clearance Estimate   Source File: AminoGlycCl.eq     Equation: Ag_Clear = 0.6 * (Sex * ((140 - Age) / (Serum_Creat)) * (Weight / 72)) + 10 Result unit: mL/min   Radio Button Variable: Sex Discrete variable option: Male Variable value: 1 Discrete variable option: Female Variable value: 0.85   Variable: Age Unit: yr   Variable: Serum_Creat Unit: mg/dL   Variable: Weight Unit: kg     Amortization of Student Loans   Source File: AmortLoan.eq     Equation: Base = 1 + (Rate / 1200) Result unit:   Equation: Monthly = Loan / Acc Result unit: $   Variable: Rate Unit: %   Variable: Loan Unit: $   Variable: Months Unit: mo     Anion Gap Delta Delta Gradient Multicalc®   Source File: AnionGapDeltaGradient.eq     Equation: Anion_Gap = Na - (Cl + HCO3) Result unit: mEq/L   Equation: Delta_Gap = Anion_Gap - Baseline_Gap Result unit: mEq/L   Equation: Delta_HCO3 = 25 - HCO3 Result unit: mEq/L   Equation: Delta_Delta_Gradient = Delta_Gap - Delta_HCO3 Result unit: mEq/L   Variable: Na Unit: mEq/L Minimum value: 80 Maximum value: 200   Variable: Cl Unit: mEq/L Minimum value: 60 Maximum value: 180   Variable: HCO3 Unit: mEq/L Maximum value: 30   Variable: Baseline_Gap Unit: mEq/L Maximum value: 50     Anion Gap Delta Delta Ratio Multicalc®   Source File: AnionGapDeltaRatio.eq     Equation: Anion_Gap = Na - (Cl + HCO3) Result unit: mEq/L   Equation: Delta_Gap = Anion_Gap - Baseline_Gap Result unit: mEq/L   Equation: Delta_HCO3 = 25 - HCO3 Result unit: mEq/L   Equation: Delta_Delta_Ratio = Delta_Gap / Delta_HCO3 Result unit: ratio   Variable: Na Unit: mEq/L Minimum value: 80 Maximum value: 200   Variable: Cl Unit: mEq/L Minimum value: 60 Maximum value: 180   Variable: HCO3 Unit: mEq/L Maximum value: 30   Variable: Baseline_Gap Unit: mEq/L Maximum value: 50     Anion Gap in Hypoalbumin States   Source File: AnionGapHypoAlb.eq     Equation: Anion_Gap = Na - Cl - HCO3 Result unit: mEq/L   Equation: Adjusted_Gap = Anion_Gap + 2.5 * (Normal_Alb - Observed_Alb) Result unit: mEq/L   Variable: Na Unit: mEq/L   Variable: Cl Unit: mEq/L   Variable: HCO3 Unit: mEq/L   Variable: Normal_Alb Unit: gm/dL Default value: 4.4 Maximum value: 20   Variable: Observed_Alb Unit: gm/dL Maximum value: 20     Anion Gap   Source File: AnionGap.eq     Equation: AG = Na - (Cl + HCO3) Result unit: mEq/L   Variable: Na Unit: mEq/L Minimum value: 80 Maximum value: 200   Variable: Cl Unit: mEq/L Minimum value: 60 Maximum value: 180   Variable: HCO3 Unit: mEq/L     Ascites Albumin Gradient   Source File: AscitesAlbGradient.eq     Equation: SAAG = Serum_Albumin - Ascites_Albumin Result unit: gm/dL   Variable: Serum_Albumin Unit: gm/dL   Variable: Ascites_Albumin Unit: gm/dL       B   Basal Energy Expenditure (Harris-Benedict estimation)   Source File: HarrisBenedict.eq     Equation: BEE_Females = 655.1 + (9.563 * Weight) + (1.85 * Height) - (4.676 * Age) Result unit: kcal/day   Equation: BEE_Males = 66.5 + (13.75 * Weight) + (5.003 * Height) - (6.775 * Age) Result unit: kcal/day   Variable: Weight Unit: kg   Variable: Height Unit: cm   Variable: Age Unit: yr     Bayesian Statistics I MultiCalc®   Source File: BayesianAnalysis_1.eq     Equation: True_Pos = Sensitivity * Prevalence Result unit: ratio   Equation: False_Pos = (1 - Specificity) * (1 - Prevalence) Result unit: ratio   Equation: True_Neg = Specificity * (1 - Prevalence) Result unit: ratio   Equation: False_Neg = (1 - Sensitivity) * Prevalence Result unit: ratio   Equation: Pos_Pred_Value = 100 * True_Pos / (True_Pos + False_Pos) Result unit: %   Equation: Neg_Pred_Value = 100 * True_Neg / (True_Neg + False_Neg) Result unit: %   Equation: LR_Pos = Sensitivity / (1-Specificity) Result unit: ratio   Equation: LR_Neg = (1-Sensitivity) / Specificity Result unit: ratio   Equation: Pre_Test_Odds = Prevalence / (1 - Prevalence) Result unit: ratio   Equation: Post_Odds_Pos = Pre_Test_Odds * LR_Pos Result unit: ratio   Equation: Post_Prob_Pos = Post_Odds_Pos / (1 + Post_Odds_Pos) Result unit: ratio   Equation: Post_Odds_Neg = Pre_Test_Odds * LR_Neg Result unit: ratio   Equation: Post_Prob_Neg = Post_Odds_Neg / (1 + Post_Odds_Neg) Result unit: ratio   Equation: False_Pos_Rate = 100 * False_Pos / (False_Pos + True_Neg) Result unit: %   Equation: False_Neg_Rate = 100 * False_Neg / (True_Pos + False_Neg) Result unit: %   Equation: Overall_Acc = 100 * (True_Pos + True_Neg) Result unit: %   Variable: Prevalence Unit: fraction Maximum value: 1   Variable: Sensitivity Unit: fraction Maximum value: 1   Variable: Specificity Unit: fraction Maximum value: 1     Bayesian Statistics II MultiCalc®   Source File: BayesianAnalysis_2.eq     Equation: Sensitivity = True_Pos / (True_Pos + False_Neg) Result unit: fraction   Equation: Specificity = True_Neg / (True_Neg + False_Pos) Result unit: fraction   Equation: Prevalence = (True_Pos + False_Neg) / (True_Pos + True_Neg + False_Pos + False_Neg) Result unit: fraction   Equation: Pos_Pred_Value = 100 * True_Pos / (True_Pos + False_Pos) Result unit: %   Equation: Neg_Pred_Value = 100 * True_Neg / (True_Neg + False_Neg) Result unit: %   Equation: LR_Pos = Sensitivity / (1-Specificity) Result unit: ratio   Equation: LR_Neg = (1-Sensitivity) / Specificity Result unit: ratio   Equation: Pre_Test_Odds = Prevalence / (1 - Prevalence) Result unit: ratio   Equation: Post_Odds_Pos = Pre_Test_Odds * LR_Pos Result unit: ratio   Equation: Post_Prob_Pos = Post_Odds_Pos / (1 + Post_Odds_Pos) Result unit: ratio   Equation: Post_Odds_Neg = Pre_Test_Odds * LR_Neg Result unit: ratio   Equation: Post_Prob_Neg = Post_Odds_Neg / (1 + Post_Odds_Neg) Result unit: ratio   Equation: False_Pos_Rate = 100 * False_Pos / (False_Pos + True_Neg) Result unit: %   Equation: False_Neg_Rate = 100 * False_Neg / (True_Pos + False_Neg) Result unit: %   Equation: Overall_Acc = 100 * (True_Pos + True_Neg) / (True_Pos + True_Neg + False_Pos + False_Neg) Result unit: %   Variable: True_Pos Unit: #   Variable: False_Pos Unit: #   Variable: True_Neg Unit: #   Variable: False_Neg Unit: #     Benefit Increase / Number Needed to Treat Multicalc®   Source File: BenefitIncrease.eq     Equation: Abs_Benefit_Increase = Control_Event_Rate - Exp_Event_Rate Result unit: fraction   Equation: Rel_Benefit_Increase = Abs_Benefit_Increase / Control_Event_Rate Result unit: fraction   Equation: NNT = 1 / Abs_Benefit_Increase Result unit: #   Variable: Control_Event_Rate Unit: fraction   Variable: Exp_Event_Rate Unit: fraction     Bicarbonate Deficit   Source File: BicarbDef.eq     Equation: BicarbDef = 0.4 * Weight * (24 - HCO3) Result unit: mEq   Variable: Weight Unit: kg   Variable: HCO3 Unit: mEq/L     Blood Ethanol Concentration Estimation   Source File: BloodEthanolConc.eq     Equation: Blood_Ethanol_Concentration = (Volume_Ingested * Concentration_Ingested * 0.8) / (Weight * 0.6) Result unit: mg/dL   Variable: Volume_Ingested Unit: mL   Variable: Concentration_Ingested Unit: Percent Ethanol Maximum value: 100   Variable: Weight Unit: kg     Body Mass Index (Quetelet's index)   Source File: BodyMassIndex.eq     Equation: BMI = (Weight/2.205) / power((Height/39.37), 2) Result unit: kg/m2   Variable: Height Unit: in   Variable: Weight Unit: lb     Body Surface Area (Du Bois Method)   Source File: BodySurfaceArea.eq     Equation: BSA = 0.007184 * power(Height, 0.725) * power(Weight, 0.425) Result unit: sqm   Variable: Height Unit: cm   Variable: Weight Unit: kg     Body Surface Area (Mosteller, square root method)   Source File: BodySurfaceArea_SR.eq     Equation: BSA = sqr(Height * Weight / 3600) Result unit: sqm   Variable: Height Unit: cm   Variable: Weight Unit: kg     Burn Injury Fluid Resuscitation (Brooke estimate)   Source File: BurnInjuryFluidBrooke.eq     Equation: Lactated_Ringers = 1.5 * Weight * Percent_Burn / 24 Result unit: mL/hr   Equation: Colloid = 0.5 * Weight * Percent_Burn / 24 Result unit: mL/hr   Equation: D5W = 2000 / 24 Result unit: mL/hr   Variable: Weight Unit: kg   Variable: Percent_Burn Unit: % Minimum value: 1 Maximum value: 100     Burn Injury Fluid Resuscitation (Demling dextran estimate)   Source File: BurnInjuryFluidDextran.eq     Equation: Dextran40_in_Saline = 2 * Weight Result unit: mL/hr   Equation: Fresh_Frozen_Plasma = 0.5 * Weight Result unit: mL/hr   Variable: Weight Unit: kg     Burn Injury Fluid Resuscitation (Evans estimate)   Source File: BurnInjuryFluidEvans.eq     Equation: Normal_Saline = Weight * Percent_Burn / 24 Result unit: mL/hr   Equation: Colloid = Weight * Percent_Burn / 24 Result unit: mL/hr   Equation: D5W = 2000 / 24 Result unit: mL/hr   Variable: Weight Unit: kg   Variable: Percent_Burn Unit: % Minimum value: 1 Maximum value: 100     Burn Injury Fluid Resuscitation (Modified Brooke crystalloid estimate)   Source File: BurnInjuryFluidModifiedBrooke.eq     Equation: Lactated_Ringers = 2 * Weight * Percent_Burn / 24 Result unit: mL/hr   Variable: Weight Unit: kg   Variable: Percent_Burn Unit: % Minimum value: 1 Maximum value: 100     Burn Injury Fluid Resuscitation (Slater estimate)   Source File: BurnInjuryFluidSlater.eq     Equation: Lactated_Ringers = 2000 / 24 Result unit: mL/hr   Equation: Fresh_Frozen_Plasma = 75 * Weight / 36 Result unit: mL/hr   Variable: Weight Unit: kg     Burn Injury Fluid Resuscitation, Adult (Parkland crystalloid estimate)   Source File: BurnInjuryFluidParkland.eq     Equation: Total_Crystalloid_For_First_24_Hours = 4 * Weight * Percent_Nonsuperficial_Burn_Area Result unit: mL   Equation: Rate_First_8_Hours = Total_Crystalloid_For_First_24_Hours / 16 Result unit: mL/hr   Equation: Rate_Next_16_Hours = Total_Crystalloid_For_First_24_Hours / 32 Result unit: mL/hr   Variable: Weight Unit: kg   Variable: Percent_Nonsuperficial_Burn_Area Unit: Percent Minimum value: 1 Maximum value: 100       C   Calcium Correction in Hypoalbuminemia (SI units)   Source File: CalciumAlbumin_SI.eq     Equation: Ca = Serum_Ca + 0.02 * (Normal_Albumin - Patient_Albumin) Result unit: mmol/L   Variable: Serum_Ca Unit: mmol/L   Variable: Normal_Albumin Unit: g/L Default value: 44   Variable: Patient_Albumin Unit: g/L     Calcium Correction in Hypoalbuminemia   Source File: CalciumAlbumin.eq     Equation: Ca = Serum_Ca + 0.8 * (Normal_Albumin - Patient_Albumin) Result unit: mg/dL   Variable: Serum_Ca Unit: mg/dL   Variable: Normal_Albumin Unit: gm/dL Default value: 4.4   Variable: Patient_Albumin Unit: gm/dL     Carbon Dioxide Production   Source File: CO2Prod.eq     Equation: VCO2 = VExp * ( FECO2 - FICO2 ) Result unit: mL/min   Variable: VExp Unit: mL/min   Variable: FECO2 Unit: fraction   Variable: FICO2 Unit: fraction     Carboplatin AUC Dose Calculation (Calvert formula)   Source File: AUCCarboplat.eq     Equation: GFR = Sex * ((140 - Age) / (Serum_Creat)) * (Weight / 72) Result unit: mL/min   Equation: Carboplatin_Dose = Target_AUC * (GFR + 25) Result unit: mg   Variable: Target_AUC   Radio Button Variable: Sex Discrete variable option: Male Variable value: 1 Discrete variable option: Female Variable value: 0.85   Variable: Age Unit: yr   Variable: Serum_Creat Unit: mg/dL_Cr   Variable: Weight Unit: kg     Cardiac Output MultiCalc®   Source File: CardiacOutput_MC.eq     Equation: CO = O2_Consump / (Arterial_O2_Content - Venous_O2_Content) Result unit: L/min   Equation: BSA = 0.007184 * power(Height, 0.725) * power(Weight, 0.425) Result unit: sqm   Equation: CI = CO / BSA Result unit: index   Equation: SV = 1000 * CO / HR Result unit: mL   Equation: SI = SV / BSA Result unit: mL/sqm   Variable: O2_Consump Unit: mL/min   Variable: Arterial_O2_Content~OxygenContentArterial.eq~CaO2_param Unit: mL/L   Variable: Venous_O2_Content~OxygenContentVenous.eq~CvO2_param Unit: mL/L   Variable: HR Unit: #   Variable: Height Unit: cm   Variable: Weight Unit: kg     Cardiac Output   Source File: CardiacOutput.eq     Equation: CaO2 = ( Hgb * 13.4 * O2Sat / 100 ) + ( PaO2 * 0.031 ) Result unit: mL/L   Equation: CvO2 = ( Hgb * 13.4 * O2vSat / 100 ) + ( PvO2 * 0.031 ) Result unit: mL/L   Equation: CO = O2_Consumption / (CaO2 - CvO2) Result unit: L/min   Variable: O2_Consumption Unit: mL/min   Variable: Hgb Unit: gm/dL   Variable: O2Sat Unit: %   Variable: PaO2 Unit: mmHg   Variable: O2vSat Unit: %   Variable: PvO2 Unit: mmHg     Chi Square Analysis   Source File: ChiSquare.eq     Equation: N = a + b + c + d Result unit:   Equation: Chi_Square = ( N * power(((a*d) -(b*c)), 2) ) / ( (a+b)*(c+d)*(a+c)*(b+d) ) Result unit: Top Row Variables: a, b Bottom Row Variables: c, d     Closing Capacity to Total Lung Volume Capacity   Source File: ClosingCapTLCRatio.eq     Equation: Total_Lung_Cap = Insp_Reserve_Vol + Tidal_Vol + Exp_Reserve_Vol + Residual_Vol Result unit: L   Equation: Closing_Cap = Closing_Vol + Residual_Vol Result unit: L   Equation: CC_TLC_Ratio = 100 * Closing_Cap / Total_Lung_Cap Result unit: %   Variable: Exp_Reserve_Vol Unit: L   Variable: Residual_Vol Unit: L   Variable: Insp_Reserve_Vol Unit: L   Variable: Tidal_Vol Unit: L   Variable: Closing_Vol Unit: L     Closing Capacity   Source File: ClosingCapacity.eq     Equation: Closing_Cap = Closing_Vol + Residual_Vol Result unit: L   Variable: Closing_Vol Unit: L   Variable: Residual_Vol Unit: L     Closing Volume to Vital Capacity Ratio   Source File: ClosingVolVCRatio.eq     Equation: Vital_Cap = Insp_Reserve_Vol + Tidal_Vol + Exp_Reserve_Vol Result unit: L   Equation: CV_VC_Ratio = 100 * Closing_Vol / Vital_Cap Result unit: %   Variable: Exp_Reserve_Vol Unit: L   Variable: Insp_Reserve_Vol Unit: L   Variable: Tidal_Vol Unit: L   Variable: Closing_Vol Unit: L     Confidence Interval of a Binomial Proportion   Source File: ConfIntervalBinomial.eq     Equation: Proportion = A / N Result unit: fraction   Equation: Lower_End = Proportion - ( Z * sqr( (A * (N - A)) / power(N,3))) Result unit: fraction   Equation: Upper_End = Proportion + ( Z * sqr( (A * (N - A)) / power(N,3))) Result unit: fraction   Variable: A Unit: number   Variable: N Unit: number   Radio Button Variable: Z Discrete variable option: 90% Confidence Variable value: 1.645 Discrete variable option: 95% Confidence Variable value: 1.96 Discrete variable option: 98% Confidence Variable value: 2.33 Discrete variable option: 99% Confidence Variable value: 2.576     Confidence Interval of a Difference Between Proportions   Source File: ConfIntervalDiffProp.eq     Equation: Difference = (A / N) - (C / M) Result unit: fraction   Equation: Interval = Z * sqr( (A*(N-A)/power(N,3)) + (C*(M-C)/power(M,3)) ) Result unit: fraction   Equation: Lower_End = Difference - Interval Result unit: fraction   Equation: Upper_End = Difference + Interval Result unit: fraction   Variable: A Unit: number   Variable: N Unit: number   Variable: C Unit: number   Variable: M Unit: number   Radio Button Variable: Z Discrete variable option: 90% Confidence Variable value: 1.645 Discrete variable option: 95% Confidence Variable value: 1.96 Discrete variable option: 98% Confidence Variable value: 2.33 Discrete variable option: 99% Confidence Variable value: 2.576     Confidence Interval of a Ratio of Proportions   Source File: ConfIntervalRatioProp.eq     Equation: Prop_Ratio = (A / N) / (C / M) Result unit: fraction   Equation: Exponent = Z * sqr( (1/A) - (1/N) + (1/C) - (1/M) ) Result unit: number   Equation: Lower_End = Prop_Ratio * eTo( -Exponent) Result unit: fraction   Equation: Upper_End = Prop_Ratio * eTo(Exponent) Result unit: fraction   Variable: A Unit: number   Variable: N Unit: number   Variable: C Unit: number   Variable: M Unit: number   Radio Button Variable: Z Discrete variable option: 90% Confidence Variable value: 1.645 Discrete variable option: 95% Confidence Variable value: 1.96 Discrete variable option: 98% Confidence Variable value: 2.33 Discrete variable option: 99% Confidence Variable value: 2.576     Confidence Interval of a Ratio of Ratios   Source File: ConfIntervalRatioRatios.eq     Equation: Ratio_Of_Ratios = (A / B) / (C / D) Result unit: fraction   Equation: Exponent = Z * sqr( (1/A) + (1/B) + (1/C) + (1/D) ) Result unit: number   Equation: Lower_End = Ratio_Of_Ratios * eTo( -Exponent) Result unit: fraction   Equation: Upper_End = Ratio_Of_Ratios * eTo(Exponent) Result unit: fraction   Variable: A Unit: number   Variable: B Unit: number   Variable: C Unit: number   Variable: D Unit: number   Radio Button Variable: Z Discrete variable option: 90% Confidence Variable value: 1.645 Discrete variable option: 95% Confidence Variable value: 1.96 Discrete variable option: 98% Confidence Variable value: 2.33 Discrete variable option: 99% Confidence Variable value: 2.576     Confidence Interval of a Survey   Source File: ConfidenceInterval.eq     Equation: Population_Factor = (Population - Sample_Size) / (Population - 1) Result unit:   Equation: Conf_Interval = sqr(Conf_Level * (Percent/100) * (1 - (Percent/100)) / Sample_Size * Population_Factor) * 100 Result unit:   Radio Button Variable: Conf_Level Discrete variable option: 90% Variable value: 2.706 Discrete variable option: 95% Variable value: 3.842 Discrete variable option: 99% Variable value: 6.635   Variable: Population Unit: #   Variable: Sample_Size Unit: #   Variable: Percent Unit: % Maximum value: 100     Creatinine Clearance (measured)   Source File: CreatinineCl.eq     Equation: Creat_Clear = Urine_Creat * Days_Urine_Volume / Serum_Creat / 1440 Result unit: mL/min   Variable: Urine_Creat Unit: mg/dL_Cr   Variable: Serum_Creat Unit: mg/dL_Cr   Variable: Days_Urine_Volume Unit: mL     Creatinine Clearance (measured, SI units)   Source File: CreatinineCl_SI.eq     Equation: Creat_Clear = Urine_Creat * Days_Urine_Volume / Serum_Creat / 86400 Result unit: mL/sec   Variable: Urine_Creat Unit: mcmol/L_Cr   Variable: Serum_Creat Unit: mcmol/L_Cr   Variable: Days_Urine_Volume Unit: mL     Creatinine Clearance by Mass   Source File: CreatinineClMass.eq     Equation: Creat_Clear = Urine_Creat_Mass / Serum_Creat_Conc / 0.0144 Result unit: mL/min   Variable: Urine_Creat_Mass Unit: gm   Variable: Serum_Creat_Conc Unit: mg%     Creatinine Clearance Estimate by Cockcroft-Gault Equation (SI units)   Source File: CreatinineCl_CG_SI.eq     Equation: Creat_Clear = 0.0205 * Sex * (140 - Age) * Weight / Serum_Creat Result unit: mL/sec   Radio Button Variable: Sex Discrete variable option: Male Variable value: 1 Discrete variable option: Female Variable value: 0.85   Variable: Age Unit: yr   Variable: Serum_Creat Unit: mcmol/L_Cr   Variable: Weight Unit: kg     Creatinine Clearance Estimate by Cockcroft-Gault Equation with Ideal Body Weight (SI units)   Source File: CreatinineCl_CG_AdjBW_SI.eq     Equation: IBW = Math.abs(Height > 152.4) * (2.3 * ((Height / 2.54) - 60)) + IBW_Sex Result unit: kg   Equation: CrCl = 0.02046 * CrCl_Sex * (140 - Age) * Weight / Serum_Creat Result unit: mL/sec   Variable: Age Unit: yr   Variable: Height Unit: cm   Variable: Weight Unit: kg   Variable: Serum_Creat Unit: mcmol/L     Creatinine Clearance Estimate by Cockcroft-Gault Equation with Ideal Body Weight   Source File: CreatinineCl_CG_AdjBW.eq     Equation: IBW = Math.abs(Height > 60) * (2.3 * (Height - 60)) + IBW_Sex Result unit: kg   Equation: CrCl = ((140 - Age) * (Weight_CrCl / (Serum_Creat * 72))) * CrCl_Sex Result unit: mL/min   Variable: Age Unit: yr   Variable: Height Unit: in   Variable: Weight Unit: kg   Variable: Serum_Creat Unit: mg/dL     Creatinine Clearance Estimate by Cockcroft-Gault Equation   Source File: CreatinineCl_CG.eq     Equation: Creat_Clear = Sex * ((140 - Age) / (Serum_Creat)) * (Weight / 72) Result unit: mL/min   Radio Button Variable: Sex Discrete variable option: Male Variable value: 1 Discrete variable option: Female Variable value: 0.85   Variable: Age Unit: yr   Variable: Serum_Creat Unit: mg/dL   Variable: Weight Unit: kg     Creatinine Clearance Estimate by Jelliffe Formula   Source File: CreatinineCl_Jelliffe.eq     Radio Button Variable: Sex Discrete variable option: *Female Variable value: 0.9 Discrete variable option: Male Variable value: 1   Equation: CrCl = Sex * (98 - (0.8 * (Age - 20))) / Serum_Creat Result unit: mL/min/1.73m2   Variable: Age Unit: Years old   Variable: Serum_Creat Unit: mg/dL_Cr     Creatinine Clearance Estimate by Sanaka Formula (for older subjects with low muscle mass)   Source File: CreatinineCl_Sanaka.eq     Equation: CrCl = (Weight * ((Mult_Factor * Plasma_Albumin) + Add_Factor)) / (100 * Serum_Creat) Result unit: mL/min   Variable: Age Unit: yr Minimum value: 60 Maximum value: 92   Variable: Serum_Creat Unit: mg/dL   Variable: Plasma_Albumin Unit: gm/dL   Variable: Weight Unit: kg Minimum value: 24 Maximum value: 61     Creatinine clearance estimate for changing serum creatinine   Source File: CrClChangingCr.eq     Equation: Creat_Clear = (140 - Age - 30 * (Creat_Day2 - Creat_Day1)) * Weight / (72* ((Creat_Day1 + Creat_Day2) / 2)) Result unit: mL/min   Variable: Age Unit: yr   Variable: Creat_Day1 Unit: mg/dL   Variable: Creat_Day2 Unit: mg/dL   Variable: Weight Unit: kg     Creatinine Kinetics Multicalc®   Source File: CreatinineKinetics_MC.eq     Equation: Creat_Excretion = (Vol_Urine * Creat_Urine) + (Vol_Dialysate * Creat_Dialysate) Result unit: mg/day   Equation: Creat_Degradation = 0.38 * Creat_Serum * Weight Result unit: mg/day   Equation: Lean_Body_Weight = (0.029 * (Creat_Excretion + Creat_Degradation)) + 7.38 Result unit: kg   Variable: Vol_Urine Unit: mL   Variable: Creat_Urine Unit: mg/mL   Variable: Vol_Dialysate Unit: mL   Variable: Creat_Dialysate Unit: mg/mL   Variable: Creat_Serum Unit: mg/dL   Variable: Weight Unit: kg     CSF IgG Index   Source File: CSFIgG.eq     Equation: CSF_IgG_Index = ( CSF_IgG / CSF_Albumin ) / (Serum_IgG / (Serum_Albumin * 1000)) Result unit: index   Variable: CSF_IgG Unit: mg/dL   Variable: CSF_Albumin Unit: mg/dL   Variable: Serum_IgG Unit: mg/dL   Variable: Serum_Albumin Unit: gm/dL     CSF Protein Concentration Correction in Blood Contaminated CSF   Source File: CSFProtein.eq     Equation: Protein = Protein_CSF - (Protein_Serum * 1000 * (1 - HCT / 100) * RBC_CSF / (RBC_Blood * 1e6)) Result unit: mg/dL   Variable: Protein_CSF Unit: mg/dL   Variable: Protein_Serum Unit: gm/dL   Variable: HCT Unit: %   Variable: RBC_CSF Unit: /mm^3   Variable: RBC_Blood Unit: million/mm^3     CSF WBC Correction in Blood Contaminated CSF   Source File: CSF_WBC.eq     Equation: WBC = WBC_CSF - ( (WBC_Blood * RBC_CSF) / (RBC_Blood * 1e6)) Result unit: /mm^3   Variable: WBC_CSF Unit: /mm^3   Variable: WBC_Blood Unit: /mm^3   Variable: RBC_CSF Unit: /mm^3   Variable: RBC_Blood Unit: million/mm^3       D   Diabetes Risk Score (Type 2)   Source File: DiabetesRiskScore.cc     Equation: Terms = 6.322 - Sex - Rx_HTN - Rx_Steroids - (0.063 * Age) - BMI - FMH - Smoker Result unit: #   Equation: Risk = 100 / (1 + eTo(Terms)) Result unit: %   Radio Button Variable: Sex Discrete variable option: Female Variable value: -0.879 Discrete variable option: Male Variable value: 0   Radio Button Variable: Rx_HTN Discrete variable option: On HTN meds Variable value: 1.222 Discrete variable option: No HTN meds Variable value: 0   Radio Button Variable: Rx_Steroids Discrete variable option: On steroids Variable value: 2.191 Discrete variable option: Not on steroids Variable value: 0   Variable: Age Unit: yr   Radio Button Variable: BMI Discrete variable option: Body Mass Index < 25 Variable value: 0 Discrete variable option: 25 - 27.49 Variable value: 0.699 Discrete variable option: 27.5 - 29.99 Variable value: 1.97 Discrete variable option: >= 30 Variable value: 2.518   Radio Button Variable: FMH Discrete variable option: No 1st degree family members with diabete Variable value: 0 Discrete variable option: Parent OR sib with DM Variable value: 0.728 Discrete variable option: Parent AND sib with DM Variable value: 0.753   Radio Button Variable: Smoker Discrete variable option: Patient is a non smoker Variable value: 0 Discrete variable option: Patient used to smoke Variable value: -0.218 Discrete variable option: Patient is a smoker Variable value: 0.855     Digitalis Body Load   Source File: DigoxinLoad.eq     Equation: DBL = Digoxin_Conc * 5.6 * Weight / 1000 Result unit: mg   Variable: Digoxin_Conc Unit: ng/mL   Variable: Weight Unit: kg     Dose Adjustment for Body Surface Area   Source File: DoseAdjustmentForBSA.eq     Equation: BSA = 0.007184 * power(Height, 0.725) * power(Weight, 0.425) Result unit: sqm   Equation: Adjusted_Dose = Standard_Dose * BSA / 1.73 Result unit: mg   Variable: Standard_Dose Unit: mg   Variable: Height Unit: cm   Variable: Weight Unit: kg     Dose Driven IV-Drip Rate Calculator   Source File: DoseDrivenDripRate.eq     Equation: IV_Drip_Rate = (60 * Desired_Dose * Weight * Bag_Volume) / (1000 * Drug_In_Bag) Result unit: mL/hr   Variable: Desired_Dose Unit: mcg/kg/min   Variable: Weight Unit: kg   Variable: Drug_In_Bag Unit: mg   Variable: Bag_Volume Unit: mL       E   Epidural Formulation Compounding Calculator   Source File: EpiduralCompounding.eq     Equation: Opioid_Volume = Desired_Opioid_Concentration * Desired_Volume / Stock_Opioid_Concentration Result unit: mL   Equation: Caine_Volume = Desired_Caine_Percent * Desired_Volume / Stock_Caine_Percent Result unit: mL   Equation: Diluent_Volume = Desired_Volume - Caine_Volume - Opioid_Volume Result unit: mL   Variable: Desired_Volume Unit: mL   Variable: Stock_Opioid_Concentration Unit: mg/mL   Variable: Desired_Opioid_Concentration Unit: mg/mL   Variable: Stock_Caine_Percent Unit: %   Variable: Desired_Caine_Percent Unit: %     Epoprostenol (Flolan) Infusion Rate Calculator   Source File: EpoprostenolInfusion.eq     Equation: Infusion_Rate = Dose * Weight * 60 / Concentration Result unit: mL/hr   Variable: Dose Unit: ng/kg/min   Variable: Weight Unit: kg   Variable: Concentration Unit: ng/mL     Esophageal Varices: Prediction from Platelet Count to Spleen Diameter Ratio   Source File: EsophVaricesRisk.cc     Equation: Ratio = Plt_Count / Spleen_Diameter Result unit: ratio   Variable: Plt_Count Unit: /mm^3   Variable: Spleen_Diameter Unit: mm     Estimated Blood Volume   Source File: EstimatedBloodVolume.eq     Equation: Blood_Vol = Weight * Avg_Blood_Vol Result unit: mL   Variable: Weight Unit: kg   Radio Button Variable: Avg_Blood_Vol Discrete variable option: Men Variable value: 75 Discrete variable option: Women Variable value: 65 Discrete variable option: Infants Variable value: 80 Discrete variable option: Neonates Variable value: 85 Discrete variable option: Premature Neonates Variable value: 96     Estimated Date of Delivery (EDD) Pregnancy Calculator   Source File: EstimatedDateDelivery.eq     Variable: Gestational_Age_by_US Unit: weeks Minimum value: 2 Maximum value: 40     Estimated Date of Delivery Pregnancy Calculator   Source File: EstimatedDateDeliveryPatient.eq         F   False Negative Rate from Sensitivity and Prevalence   Source File: FalseNegativeRateSSP.eq     Equation: True_Pos = Sensitivity * Prevalence Result unit: ratio   Equation: False_Neg = (1 - Sensitivity) * Prevalence Result unit: ratio   Equation: Pre_Test_Odds = Prevalence / (1 - Prevalence) Result unit: ratio   Equation: False_Neg_Rate = 100 * False_Neg / (True_Pos + False_Neg) Result unit: %   Variable: Prevalence Unit: fraction Maximum value: 1   Variable: Sensitivity Unit: fraction Maximum value: 1     False Negative Ratio from Sensitivity and Prevalence   Source File: FalseNegativeRatioSP.eq     Equation: False_Neg = (1 - Sensitivity) * Prevalence Result unit: ratio   Variable: Prevalence Unit: fraction Maximum value: 1   Variable: Sensitivity Unit: fraction Maximum value: 1     False Positive Rate from Specificty and Prevalence   Source File: FalsePositiveRateSSP.eq     Equation: False_Pos = (1 - Specificity) * (1 - Prevalence) Result unit: ratio   Equation: True_Neg = Specificity * (1 - Prevalence) Result unit: ratio   Equation: False_Pos_Rate = 100 * False_Pos / (False_Pos + True_Neg) Result unit: %   Variable: Prevalence Unit: fraction Maximum value: 1   Variable: Specificity Unit: fraction Maximum value: 1     False Positive Ratio from Specificity and Prevalence   Source File: FalsePositiveRatioSP.eq     Equation: False_Pos = (1 - Specificity) * (1 - Prevalence) Result unit: ratio   Variable: Prevalence Unit: fraction Maximum value: 1   Variable: Specificity Unit: fraction Maximum value: 1     Fear Avoidance Beliefs Questionaire (FABQ) about Physical Activity   Source File: FearAvoidActivity.cc     Equation: FABQ = Q2 + Q3 + Q4 + Q5 Result unit: points     Fear Avoidance Beliefs Questionaire (FABQ) about Work   Source File: FearAvoidWork.cc     Equation: FABQ = Q6 + Q7 + Q9 + Q10 + Q11 + Q12 + Q15 Result unit: points     Fentanyl Patch Initial Dosing Estimate Based on Prior Narcotic Dosing   Source File: FentanylDosing.qc     Equation: Oral_Morphine_Equiv = 60 * Daily_Dosage / Medicine_Potency Result unit: mg/day   Variable: Daily_Dosage Unit: mg/day     Fractional Excretion of Amylase (Amylase to creatinine clearance ratio)   Source File: FractExcAmylase.eq     Equation: FE_Amylase = 100 * (Urine_Amylase * Plasma_Creat) / (Plasma_Amylase * Urine_Creat) Result unit: %   Variable: Urine_Amylase Unit: u/L   Variable: Plasma_Creat Unit: mg/dL   Variable: Plasma_Amylase Unit: u/L   Variable: Urine_Creat Unit: mg/dL     Fractional Excretion of Sodium (SI units)   Source File: FractExcSodium_SI.eq     Equation: FE_Na = (Urine_Na / Serum_Na) / (Urine_Cr / Serum_Cr) * 100 Result unit: %   Variable: Urine_Na Unit: mmol/L   Variable: Serum_Na Unit: mmol/L   Variable: Urine_Cr Unit: mcmol/L   Variable: Serum_Cr Unit: mcmol/L     Fractional Excretion of Sodium   Source File: FractExcSodium.eq     Equation: FE_Na = (Urine_Na / Serum_Na) / (Urine_Cr / Serum_Cr) * 100 Result unit: %   Variable: Urine_Na Unit: mEq/L   Variable: Serum_Na Unit: mEq/L   Variable: Urine_Cr Unit: mg/dL   Variable: Serum_Cr Unit: mg/dL     Fractional Excretion of Urate   Source File: FractExcUrate.eq     Equation: FE_Urate = (Urine_Urate / Serum_Urate) / (Urine_Cr / Serum_Cr) * 100 Result unit: %   Variable: Urine_Urate Unit: mEq/L   Variable: Serum_Urate Unit: mEq/L   Variable: Urine_Cr Unit: mg%   Variable: Serum_Cr Unit: mg%     Framingham 10 Year Risk of General Cardiovascular Disease (2008 paper)   Source File: Framingham08.cc     Equation: Risk_Factors = (ln(Age) * Age_Factor) + (ln(Total_Chol) * Total_Chol_Factor) + (ln(HDL_Chol) * HDL_Chol_Factor) + (ln(Sys_BP) * Sys_BP_Factor) + Cig + DM - Avg_Risk Result unit:   Equation: Risk = 100 * (1 - power(Risk_Period_Factor, eTo(Risk_Factors))) Result unit: %   Variable: Age Unit: yr Minimum value: 30 Maximum value: 74   Variable: Sys_BP Unit: mmHg   Variable: Total_Chol Unit: mg/dL   Variable: HDL_Chol Unit: mg/dL     Friedewald Equation for Low Density Lipoprotein (LDL)   Source File: Friedewald.eq     Equation: LDL = Total_Chol - (Triglyceride / 5) - HDL Result unit: mg/dL   Variable: Total_Chol Unit: mg/dL   Variable: HDL Unit: mg/dL   Variable: Triglyceride Unit: mg/dL Maximum value: 400     Friedewald Equation for Low Density Lipoprotein (LDL, SI units)   Source File: Friedewald_SI.eq     Equation: LDL = Total_Chol - (Triglyceride / 2.2) - HDL Result unit: mmol/L   Variable: Total_Chol Unit: mmol/L   Variable: HDL Unit: mmol/L   Variable: Triglyceride Unit: mmol/L Maximum value: 4.499     Functional Residual Capacity   Source File: FunctResCap.eq     Equation: Func_Res_Cap = Exp_Reserve_Vol + Residual_Vol Result unit: L   Variable: Exp_Reserve_Vol Unit: L   Variable: Residual_Vol Unit: L       G   Gail Model for Predicting Individual Breast Cancer Risk (1989 Paper)   Source File: GailModel.cc     Equation: Odds_Ratio = eTo((0.09401 * Age_Menarche) + (0.52926 * Num_Biops) + (0.21863 * Age_FLB) + (0.9583 * Num_Rels) + (0.01081 * Age_Cat) - (0.28804 * Num_Biops * Age_Cat) - (0.19081 * Age_FLB * Num_Rels) - 0.74948) Result unit:   Radio Button Variable: Age_Cat Discrete variable option: Age < 50 years old Variable value: 0 Discrete variable option: Age >= 50 years old Variable value: 1   Radio Button Variable: Age_Menarche Discrete variable option: Menarch >= 14 years old Variable value: 0 Discrete variable option: 12-13 years old Variable value: 1 Discrete variable option: < 12 years old Variable value: 2   Radio Button Variable: Num_Biops Discrete variable option: No prior biopsies Variable value: 0 Discrete variable option: 1 prior negative biopsy Variable value: 1 Discrete variable option: 2 or more prior negative biopsies Variable value: 2   Radio Button Variable: Age_FLB Discrete variable option: Age at 1st live birth < 20 Variable value: 0 Discrete variable option: Age 20 - 24 Variable value: 1 Discrete variable option: Age 25 - 29 or nulliparous Variable value: 2 Discrete variable option: Age >= 30 Variable value: 3   Radio Button Variable: Num_Rels Discrete variable option: No breast CA in sisters or mother Variable value: 0 Discrete variable option: 1 sister or mother with Ca Variable value: 1 Discrete variable option: 2 or more sisters / mother with Ca Variable value: 2     Gentamicin and Tobramycin Dosing to Produce Desired Peak and Trough Levels   Source File: GentTobraDosingForLevels.cp     Equation: IBW = Math.abs(Height > 60) * (2.3 * (Height - 60)) + IBW_Sex Result unit: kg   Equation: DW = Math.abs(Weight > (1.2 * IBW)) * (0.4 * (Weight - IBW)) + IBW Result unit: kg   Equation: CrCl = ((140 - Age) * (Weight_CrCl / (Serum_Creat * 72))) * CrCl_Sex Result unit: mL/min   Equation: Ke = (0.00285 * CrCl) + 0.0015 Result unit: hr-1   Equation: Half_Life = 0.693 / Ke Result unit: hr   Equation: VD = DW * Distribution_Factor Result unit: L   Equation: Dosing_Interval = ((1 / Ke) * ln(Desired_Peak / Desired_Trough)) + Infusion_Time Result unit: hr   Equation: Loading_Dose = (VD * Infusion_Time * Ke * Desired_Peak) / (1 - eTo(-Ke * Infusion_Time)) Result unit: mg   Equation: Maintenance_Dose = (VD * Infusion_Time * Ke * Desired_Peak * (1 - eTo(-Ke * Dosing_Interval))) / (1 - eTo(-Ke * Infusion_Time)) Result unit: mg   Variable: Age Unit: yr   Variable: Height Unit: in   Variable: Weight Unit: kg   Variable: Serum_Creat Unit: mg/dL   Radio Button Variable: Distribution_Factor Discrete variable option: 0.25 L/kg Variable value: 0.25 Discrete variable option: 0.30 L/kg Variable value: 0.3 Discrete variable option: 0.35 L/kg Variable value: 0.35   Variable: Infusion_Time Unit: hr Default value: 0.5   Variable: Desired_Peak Unit: mg/L   Variable: Desired_Trough Unit: mg/L     Gentamicin and Tobramycin Level Prediction from Maintenance Dosing   Source File: GentTobraLevelPrediction.cp     Equation: IBW = Math.abs(Height > 60) * (2.3 * (Height - 60)) + IBW_Sex Result unit: kg   Equation: DW = Math.abs(Weight > (1.2 * IBW)) * (0.4 * (Weight - IBW)) + IBW Result unit: kg   Equation: CrCl = ((140 - Age) * (Weight_CrCl / (Serum_Creat * 72))) * CrCl_Sex Result unit: mL/min   Equation: Ke = (0.00285 * CrCl) + 0.0015 Result unit: hr-1   Equation: Half_Life = 0.693 / Ke Result unit: hr   Equation: VD = DW * Distribution_Factor Result unit: L   Equation: Predicted_Peak = (Dose * (1 - eTo(-Ke * Infusion_Time))) / (Ke * VD * Infusion_Time * (1 - eTo(-Ke * Dose_Interval))) Result unit: mg/L   Equation: Predicted_Trough = Predicted_Peak * eTo(-Ke * (Dose_Interval - Infusion_Time)) Result unit: mg/L   Variable: Age Unit: yr   Variable: Height Unit: in   Variable: Weight Unit: kg   Variable: Serum_Creat Unit: mg/dL   Radio Button Variable: Distribution_Factor Discrete variable option: 0.25 L/kg Variable value: 0.25 Discrete variable option: 0.30 L/kg Variable value: 0.3 Discrete variable option: 0.35 L/kg Variable value: 0.35   Variable: Dose Unit: mg   Variable: Dose_Interval Unit: hr   Variable: Infusion_Time Unit: hr Default value: 0.5     Gentamicin and Tobramycin Steady State Dosage Adjustment   Source File: GentTobraSteadyState.cp     Equation: Ke = (ln(Measured_Peak) - ln(Measured_Trough))/(Trough_Hours_After_Dose - Peak_Hours_After_Dose) Result unit: hr-1   Equation: Half_Life = 0.693 / Ke Result unit: hr   Equation: VD = Current_Dose * (1 - eTo(-Ke * Infusion_Time))/ (Ke * Infusion_Time * (Measured_Peak - (Measured_Trough * eTo(-Ke * Infusion_Time)))) Result unit: L   Equation: New_Dosing_Interval = ((1 / Ke) * ln(Desired_Peak / Desired_Trough)) + Infusion_Time Result unit: hr   Equation: New_Dose = VD * Infusion_Time * Ke * Desired_Peak * (1 - eTo(-Ke * New_Dosing_Interval))/ (1 - eTo(-Ke * Infusion_Time)) Result unit: mg   Variable: Current_Dose Unit: mg   Variable: Infusion_Time Unit: hr Default value: 0.5   Variable: Measured_Peak Unit: mg/L   Variable: Peak_Hours_After_Dose Unit: hr   Variable: Measured_Trough Unit: mg/L   Variable: Trough_Hours_After_Dose Unit: hr   Variable: Desired_Peak Unit: mg/L   Variable: Desired_Trough Unit: mg/L     Gentamicin Dosing q24hr   Source File: GentDose.eq     Equation: Dose = Weight * Severity_Factor * Renal_Factor Result unit: mg   Variable: Weight Unit: kg   Radio Button Variable: Severity_Factor Discrete variable option: Dose for serious infection Variable value: 3 Discrete variable option: Dose when infection is life threatening Variable value: 5   Radio Button Variable: Renal_Factor Discrete variable option: Serum creatinine <= 1 mg/dL Variable value: 1 Discrete variable option: Serum creatinine 1.1-1.3 mg/dL Variable value: 0.8 Discrete variable option: Serum creatinine 1.4-1.6 mg/dL Variable value: 0.65 Discrete variable option: Serum creatinine 1.7-1.9 mg/dL Variable value: 0.55 Discrete variable option: Serum creatinine 2.0-2.2 mg/dL Variable value: 0.5 Discrete variable option: Serum creatinine 2.3-2.5 mg/dL Variable value: 0.4 Discrete variable option: Serum creatinine 2.6-3.0 mg/dL Variable value: 0.35 Discrete variable option: Serum creatinine 3.1-3.5 mg/dL Variable value: 0.3 Discrete variable option: Serum creatinine 3.6-4.0 mg/dL Variable value: 0.25 Discrete variable option: Serum creatinine 4.1-5.1 mg/dL Variable value: 0.2 Discrete variable option: Serum creatinine 5.2-6.6 mg/dL Variable value: 0.15 Discrete variable option: Serum creatinine 6.7-8.0 mg/dL Variable value: 0.1     Gestational Age from Estimated Date of Delivery (EDD)   Source File: GestationalAgeFromEDD.eq       Glomerular Filtration Rate Estimate by CKD-EPI Equation   Source File: GFR_CKD_EPI.eq     Equation: GFR = 141 * power(Math.min(Serum_Creat/kappa, 1), alpha) * power(Math.max(Serum_Creat/kappa, 1), -1.209) * power(0.993,Age) * Sex * Race Result unit: mL/min/1.73m2   Radio Button Variable: Race Discrete variable option: White or Other Variable value: 1 Discrete variable option: Black Variable value: 1.159   Variable: Age Unit: yr   Variable: Serum_Creat Unit: mg/dL     Glomerular Filtration Rate Estimate by Quadratic Equation   Source File: GFREstimateQuad.eq     Equation: GFR = eTo(1.911 + (5.249 / Serum_Creat) - (2.114 / power(Serum_Creat, 2)) - (0.00686 * Age) - Sex) Result unit: mL/min   Variable: Serum_Creat Unit: mg/dL_Cr Minimum value: 0.8   Variable: Age Unit: yr   Radio Button Variable: Sex Discrete variable option: Male Variable value: 0 Discrete variable option: Female Variable value: 0.205     Glomerular Filtration Rate Estimate by Schwartz Formula   Source File: GFR_Schwartz.eq     Equation: Glomerular_Filtration_Rate = Muscle_Factor * Height / Serum_Creat Result unit: mL/min/1.73 m2   Variable: Serum_Creat Unit: mg/dL_Cr   Variable: Height Unit: cm   Radio Button Variable: Muscle_Factor Discrete variable option: Premature infant up to 1 year of age Variable value: 0.33 Discrete variable option: Term infant up to 1 year of age 1 Variable value: 0.45 Discrete variable option: Child or adolescent girl Variable value: 0.55 Discrete variable option: Adolescent boy Variable value: 0.7     Glomerular Filtration Rate Estimate by the Abbreviated MDRD Study Equation (SI units)   Source File: GFR_MDRD_Abbrev_SI.eq     Equation: Glomerular_Filtration_Rate = 3.1 * power((Serum_Creat / 88.4), -1.154) * power(Age, -0.203) * Sex * Race Result unit: mL/sec/1.73 m2   Variable: Serum_Creat Unit: mcmol/L_Cr   Variable: Age Unit: yr   Radio Button Variable: Sex Discrete variable option: Female Variable value: 0.742 Discrete variable option: Male Variable value: 1   Radio Button Variable: Race Discrete variable option: Black Variable value: 1.21 Discrete variable option: Non-Black Variable value: 1     Glomerular Filtration Rate Estimate by the Abbreviated MDRD Study Equation   Source File: GFR_MDRD_Abbrev.eq     Equation: Glomerular_Filtration_Rate = 186 * power(Serum_Creat, -1.154) * power(Age, -0.203) * Sex * Race Result unit: mL/min/1.73 m2   Variable: Serum_Creat Unit: mg/dL_Cr   Variable: Age Unit: yr   Radio Button Variable: Sex Discrete variable option: Female Variable value: 0.742 Discrete variable option: Male Variable value: 1   Radio Button Variable: Race Discrete variable option: Black Variable value: 1.21 Discrete variable option: Non-Black Variable value: 1     Glomerular Filtration Rate Estimate by the MDRD Equation (SI units)   Source File: GFR_MDRD_Full_SI.eq     Equation: GFR = 2.8333 * power((Serum_Creat / 88.4), -0.999) * power(Age, -0.176) * Sex * Race * power((BUN / 0.357), -0.170) * power((Albumin / 10), 0.318) Result unit: mL/sec/1.73 m2   Variable: Serum_Creat Unit: mcmol/L_Cr   Variable: Age Unit: yr   Radio Button Variable: Sex Discrete variable option: Female Variable value: 0.762 Discrete variable option: Male Variable value: 1   Radio Button Variable: Race Discrete variable option: Black Variable value: 1.18 Discrete variable option: Non-Black Variable value: 1   Variable: BUN Unit: mmol/L_BUN   Variable: Albumin Unit: gm/L     Glomerular Filtration Rate Estimate by the MDRD Equation   Source File: GFR_MDRD_Full.eq     Equation: GFR = 170 * power(Serum_Creat, -0.999) * power(Age, -0.176) * Sex * Race * power(BUN, -0.170) * power(Albumin, 0.318) Result unit: mL/min/1.73 m2   Variable: Serum_Creat Unit: mg/dL   Variable: Age Unit: yr   Radio Button Variable: Sex Discrete variable option: Female Variable value: 0.762 Discrete variable option: Male Variable value: 1   Radio Button Variable: Race Discrete variable option: Black Variable value: 1.18 Discrete variable option: Non-Black Variable value: 1   Variable: BUN Unit: mg/dL   Variable: Albumin Unit: gm/dL     Gorlin Formula for Valve Area   Source File: GorlinValveArea.eq     Equation: Valve_Area = ( Cardiac_Output / ( Flow_Time * Heart_Rate )) / ( Valve_Factor * sqr(Valve_Gradient) ) Result unit: sqcm   Variable: Cardiac_Output Unit: mL/min   Variable: Flow_Time Unit: sec   Variable: Heart_Rate Unit: #   Radio Button Variable: Valve_Factor Discrete variable option: Aortic Variable value: 44.5 Discrete variable option: Mitral Variable value: 38.0   Variable: Valve_Gradient Unit: mmHg       H   Height Potential Prediction by Mid-parental Height   Source File: HeightPotential.eq     Equation: Height_Potential = HP_Sex Result unit: cm   Variable: Height_Mother Unit: cm Maximum value: 300   Variable: Height_Father Unit: cm Maximum value: 300     Hemoglobin A1C Estimation from Mean Plasma Glucose   Source File: HemoglobinA1CfromMPG.eq     Equation: HbA1C = (MPG + 77.3) / 35.6 Result unit: %   Variable: MPG Unit: mg/dL_Glu     Hemoglobin A1C to Mean Plasma Glucose Estimation   Source File: HemoglobinA1CtoMPG.eq     Equation: MPG = (35.6 * HbA1C) - 77.3 Result unit: mg/dL_Glu   Variable: HbA1C Unit: %     Henderson-Hasselbach Equation   Source File: HendersonHasselbach.eq     Equation: pH = 6.1 + log(HCO3 / (0.03 * PaCO2)) Result unit:   Variable: HCO3 Unit: mEq/L   Variable: PaCO2 Unit: mmHg     Hepatitis C Cirrhosis Probability   Source File: HepatitisCCirrhosisRisk.cc     Equation: Probability = 100 / (1 + eTo(7.9625 - (3.096 * Spiders) - (3.207 * AST) - (4.2604 * Platelets) - (3.962 * Sex))) Result unit: %   Radio Button Variable: Spiders Discrete variable option: Angiomata absent Variable value: 0 Discrete variable option: Present Variable value: 1   Radio Button Variable: AST Discrete variable option: <= 40 IU/L Variable value: 0 Discrete variable option: > 40 IU/L Variable value: 1   Radio Button Variable: Platelets Discrete variable option: >= 140,000 Variable value: 0 Discrete variable option: < 140,000 Variable value: 1   Radio Button Variable: Sex Discrete variable option: Female Variable value: 0 Discrete variable option: Male Variable value: 1     Hepatitis C Fibrosis Prediction Score   Source File: HepatitisCFibrosisScore.eq     Equation: Score = 7.81 - (3.131 * ln(Plt_Count)) + (0.781 * ln(GGT)) + (3.467 * ln(Age)) - (0.014 * Chol) Result unit:   Variable: Plt_Count Unit: 10^9/L   Variable: GGT Unit: IU/L   Variable: Age Unit: yr   Variable: Chol Unit: mg/dL     Hepatitis Discriminant Function for Corticosteroid Rx in Alcoholic Hepatitis   Source File: HepatitisCriteria.cc     Equation: Index = 4.6 * (Prothrombin_Time - Control_Prothrombin_Time) + Bilirubin Result unit:   Variable: Prothrombin_Time Unit: sec   Variable: Control_Prothrombin_Time Unit: sec Default value: 12   Variable: Bilirubin Unit: mg/dL     HOMA Formula: Homeostasis Model Assessment of Insulin Resistance   Source File: HOMA.eq     Equation: HOMA_IR = Fasting_Insulin * Fasting_Glu / 22.5 Result unit:   Variable: Fasting_Insulin Unit: mIU/mL   Variable: Fasting_Glu Unit: mmol/L_Glu     Housestaff Activity Index   Source File: HousestaffActivityIndex.eq     Equation: Activity_Index = Census + (2 * Admits) + (1.75 * Discharges) Result unit:   Variable: Census Unit: #   Variable: Admits Unit: #   Variable: Discharges Unit: #     Hyponatremia Correction Infusate Rate   Source File: HyponatremiaCorrection.eq     Equation: Infusate_Rate = (1000 * Serum_Na_Change_Per_Hr * ((Water_Fract * Weight) + 1)) / (IV_Na + IV_K - Serum_Na) Result unit: mL/hr   Equation: Serum_Na_Change_Per_Liter = (IV_Na + IV_K - Serum_Na) / ((Water_Fract * Weight) + 1) Result unit: mEq/L   Variable: Serum_Na_Change_Per_Hr Unit: mEq/L/hr Default value: 0.25 Maximum value: 2   Variable: Serum_Na Unit: mEq/L   Radio Button Variable: Water_Fract Discrete variable option: Child Variable value: 0.6 Discrete variable option: Adult Male Variable value: 0.6 Discrete variable option: Adult Female Variable value: 0.5 Discrete variable option: Elderly Male Variable value: 0.5 Discrete variable option: Elderly Female Variable value: 0.45   Variable: Weight Unit: kg   Radio Button Variable: IV_Na Discrete variable option: 5% NaCl Variable value: 855 Discrete variable option: 3% NaCl Variable value: 513 Discrete variable option: 0.9% NaCl (Normal Saline) Variable value: 154 Discrete variable option: Ringer Lactate (Includes 4 mEq/L K+) Variable value: 134   Variable: IV_K Unit: mEq/L       I   Ideal Body Weight Percentage   Source File: IdealBodyWgt_P.eq     Equation: IBW = Weight * 100 / (power(Height, 2) * Sex) Result unit: %   Variable: Weight Unit: kg   Variable: Height Unit: m   Radio Button Variable: Sex Discrete variable option: Male Variable value: 23 Discrete variable option: Female Variable value: 21.5     Ideal Body Weight   Source File: IdealBodyWgt.eq     Equation: IBW = power(Height, 2) * Sex Result unit: kg   Variable: Height Unit: m   Radio Button Variable: Sex Discrete variable option: Male Variable value: 23 Discrete variable option: Female Variable value: 21.5     IME Adjusted Ratio for Medical Education Medicare Payments to Teaching Hospitals   Source File: IMEAdjustedRatio.eq     Equation: IME_AR = 1.89 * power((1 + Number_Residents / Number_Beds), 0.405) - 1 Result unit: ratio   Variable: Number_Residents Unit: number   Variable: Number_Beds Unit: number     In-Flight PaO2 Estimation (using PFT's)   Source File: InFlightPaO2PFTs.eq     Equation: PaO2 = 22.26 + (0.238 * Sea_Level_PaO2) + (20.1 * FEV1 / FVC) Result unit: mmHg   Variable: Sea_Level_PaO2 Unit: mmHg   Variable: FEV1 Unit: L   Variable: FVC Unit: L     In-Flight PaO2 Estimation   Source File: InFlightPaO2.eq     Equation: PaO2 = 1.59 + (0.98 * Sea_Level_PaO2) + (0.0031 * Altitude) - (0.000061 * Sea_Level_PaO2 * Altitude) - (0.000065 * Sea_Level_PaCO2 * Altitude) + (0.000000092 * power(Altitude,2)) Result unit: mmHg   Variable: Altitude Unit: feet Default value: 8000 Maximum value: 35000   Variable: Sea_Level_PaO2 Unit: mmHg   Variable: Sea_Level_PaCO2 Unit: mmHg     Inspiratory Capacity   Source File: InspiratoryCap.eq     Equation: Insp_Cap = Insp_Reserve_Vol + Tidal_Vol Result unit: L   Variable: Insp_Reserve_Vol Unit: L   Variable: Tidal_Vol Unit: L     International Normalized Ratio of Prothrombin Time (INR)   Source File: InternatNormRatio.eq     Equation: INR = power((Patient_Protime / Control_Protime), ISI) Result unit: #   Variable: Patient_Protime Unit: sec   Variable: Control_Protime Unit: sec   Variable: ISI Unit: #     Iron Replacement (parenteral dosing) for Iron Deficiency   Source File: IronReplacement.eq     Equation: Dose = 0.3 * Weight * (100 - (Hgb * 100) / Age_Factor) Result unit: mg   Radio Button Variable: Age_Factor Discrete variable option: Adult >= 33 lb Variable value: 14.8 Discrete variable option: Child < 33 lb Variable value: 12   Variable: Weight Unit: lb   Variable: Hgb Unit: gm/dL     IV Drip Maintenance Rate Calculator   Source File: IVDripRate.eq     Equation: Drip_Rate = Total_Fluid_Volume / Total_Admin_Time Result unit: mL/hr   Variable: Total_Fluid_Volume Unit: mL   Variable: Total_Admin_Time Unit: hr       K   Kappa Measurement of Inter-observer Agreement MultiCalc®   Source File: Kappa_MC.eq     Equation: g1 = a + b Result unit:   Equation: g2 = c + d Result unit:   Equation: f1 = a + c Result unit:   Equation: f2 = b + d Result unit:   Equation: N = f1 + f2 Result unit:   Equation: P_Observed = (a + d) / N Result unit:   Equation: P_Expected_Cohen = ((f1 * g1) + (f2 * g2)) / power(N, 2) Result unit:   Equation: P_Expected_Scott = ( power((f1 + g1), 2) + power((f2 + g2), 2) ) / ( 4 * power(N, 2) ) Result unit:   Equation: Kappa_Cohen = ( P_Observed - P_Expected_Cohen ) / ( 1 - P_Expected_Cohen ) Result unit:   Equation: Kappa_Scott = ( P_Observed - P_Expected_Scott ) / ( 1 - P_Expected_Scott ) Result unit:   Equation: Kappa_Bennett = 2 * P_Observed - 1 Result unit:   Equation: Bias_Index = (b - c) / N Result unit:   Equation: Prevalence_Index = (a - d) / N Result unit:   Equation: Phi_Coefficient = ((a * d) - (b * c)) / sqr( f1 * f2 * g1 * g2 ) Result unit:   Two by Two Table: Top Across: Observer 1, Yes, No Left Side Down: Observer 2, Yes, No Top Row Variables: a, b Bottom Row Variables: c, d     Kappa Measurement of Inter-observer Agreement: Bennett's Kappa   Source File: Kappa_Bennett.eq     Equation: g1 = a + b Result unit:   Equation: g2 = c + d Result unit:   Equation: f1 = a + c Result unit:   Equation: f2 = b + d Result unit:   Equation: N = f1 + f2 Result unit:   Equation: P_Observed = (a + d) / N Result unit:   Equation: P_Expected = 0.5 Result unit:   Equation: Kappa = ( P_Observed - P_Expected ) / ( 1 - P_Expected ) Result unit:   Two by Two Table: Top Across: Observer 1, Yes, No Left Side Down: Observer 2, Yes, No Top Row Variables: a, b Bottom Row Variables: c, d     Kappa Measurement of Inter-observer Agreement: Cohen's Kappa   Source File: Kappa_Cohen.eq     Equation: g1 = a + b Result unit: #   Equation: g2 = c + d Result unit: #   Equation: f1 = a + c Result unit: #   Equation: f2 = b + d Result unit: #   Equation: N = f1 + f2 Result unit: #   Equation: P_Observed = (a + d) / N Result unit:   Equation: P_Expected = ((f1 * g1) + (f2 * g2)) / power(N, 2) Result unit:   Equation: Kappa = ( P_Observed - P_Expected ) / ( 1 - P_Expected ) Result unit:   Two by Two Table: Top Across: Observer 1, Yes, No Left Side Down: Observer 2, Yes, No Top Row Variables: a, b Bottom Row Variables: c, d     Kappa Measurement of Inter-observer Agreement: Scott's Kappa   Source File: Kappa_Scott.eq     Equation: g1 = a + b Result unit:   Equation: g2 = c + d Result unit:   Equation: f1 = a + c Result unit:   Equation: f2 = b + d Result unit:   Equation: N = f1 + f2 Result unit:   Equation: P_Observed = (a + d) / N Result unit:   Equation: P_Expected = ( power((f1 + g1), 2) + power((f2 + g2), 2) ) / ( 4 * power(N, 2) ) Result unit:   Equation: Kappa = ( P_Observed - P_Expected ) / ( 1 - P_Expected ) Result unit:   Two by Two Table: Top Across: Observer 1, Yes, No Left Side Down: Observer 2, Yes, No Top Row Variables: a, b Bottom Row Variables: c, d     Kt/V Dialysis Dose Barth Formula   Source File: Kt_V_Barth.eq     Equation: Kt_V_Barth = 3.1 * ((BUN_Pre - BUN_Post) / BUN_Pre) - .66 Result unit:   Variable: BUN_Pre Unit: mg%   Variable: BUN_Post Unit: mg%     Kt/V Dialysis Dose Basile Formula   Source File: Kt_V_Basile.eq     Equation: Kt_V_Basile = 2.3 * ((BUN_Pre - BUN_Post) / BUN_Pre) - .284 Result unit:   Variable: BUN_Pre Unit: mg%   Variable: BUN_Post Unit: mg%     Kt/V Dialysis Dose Daugirdas Formula   Source File: Kt_V_Daugirdas.eq     Equation: Kt_V_Daugirdas = -ln((BUN_Post / BUN_Pre) - (0.008 * Hours)) + ((4 - (3.5 * BUN_Post / BUN_Pre)) * UF_Vol / Weight_Post) Result unit:   Variable: BUN_Pre Unit: mg/dL Maximum value: 300   Variable: BUN_Post Unit: mg/dL Maximum value: 300   Variable: Hours Unit: hr   Variable: UF_Vol Unit: L   Variable: Weight_Post Unit: kg     Kt/V Dialysis Dose Formulae MultiCalc®   Source File: Kt_V_Formulae_Multi.eq     Equation: Kt_V_Daugirdas = -ln((BUN_Post / BUN_Pre) - (.008 * Hours)) + ((4 - (3.5 * BUN_Post / BUN_Pre)) * UF_Vol / Weight_Post) Result unit:   Equation: Kt_V_Lowrie = ln( BUN_Pre / BUN_Post) Result unit:   Equation: Kt_V_Keshaviah = 1.162 * ln( BUN_Pre / BUN_Post) Result unit:   Equation: Kt_V_Barth = 3.1 * ((BUN_Pre - BUN_Post) / BUN_Pre) - .66 Result unit:   Equation: Kt_V_Basile = 2.3 * ((BUN_Pre - BUN_Post) / BUN_Pre) - .284 Result unit:   Equation: Kt_V_Jindal = 4 * ((BUN_Pre - BUN_Post) / BUN_Pre) - 1.2 Result unit:   Equation: Kt_V_Kerr = 4.2 * ((BUN_Pre - BUN_Post) / BUN_Pre) - 1.48 Result unit:   Variable: BUN_Pre Unit: mg%   Variable: BUN_Post Unit: mg%   Variable: Hours Unit: hr   Variable: UF_Vol Unit: L   Variable: Weight_Post Unit: kg     Kt/V Dialysis Dose Jindal Formula   Source File: Kt_V_Jindal.eq     Equation: Kt_V_Jindal = 4 * ((BUN_Pre - BUN_Post) / BUN_Pre) - 1.2 Result unit:   Variable: BUN_Pre Unit: mg%   Variable: BUN_Post Unit: mg%     Kt/V Dialysis Dose Kerr Formula   Source File: Kt_V_Kerr.eq     Equation: Kt_V_Kerr = 4.2 * ((BUN_Pre - BUN_Post) / BUN_Pre) - 1.48 Result unit:   Variable: BUN_Pre Unit: mg%   Variable: BUN_Post Unit: mg%     Kt/V Dialysis Dose Keshaviah Formula   Source File: Kt_V_Keshaviah.eq     Equation: Kt_V_Keshaviah = 1.162 * ln( BUN_Pre / BUN_Post) Result unit:   Variable: BUN_Pre Unit: mg%   Variable: BUN_Post Unit: mg%     Kt/V Dialysis Dose Lowrie Formula   Source File: Kt_V_Lowrie.eq     Equation: Kt_V_Lowrie = ln( BUN_Pre / BUN_Post) Result unit:   Variable: BUN_Pre Unit: mg/dL Maximum value: 300   Variable: BUN_Post Unit: mg/dL Maximum value: 300       L   Lean Body Weight (Female)   Source File: LeanBodyWgtF.eq     Equation: LBW = (0.65 * Height) - 50.74 Result unit: kg   Variable: Height Unit: cm     Lean Body Weight (Male)   Source File: LeanBodyWgtM.eq     Equation: LBW = (0.73 * Height) - 59.42 Result unit: kg   Variable: Height Unit: cm     Lean Body Weight Based on Creatinine Production   Source File: LeanBodyWgtCreat.eq     Equation: LBW = (0.029 * Creat_Production) + 7.38 Result unit: kg   Variable: Creat_Production Unit: mg/day     Left Atrial Thrombus Resolution in Mitral Stenosis Patients on Anticoagulation (for up to 34 months)   Source File: LeftAtrialThrombusResolution.cc     Equation: Resolution_Prob = 100 / (1 + eTo((1.8012 * NYHA_Class) + (0.7028 * LAT_Area) - 8.1)) Result unit: %   Variable: NYHA_Class Minimum value: 1 Maximum value: 4   Variable: LAT_Area Unit: cm^2     Likelihood Ratio MultiCalc®   Source File: Likelihood.eq     Equation: LR_Pos = Sensitivity / (1-Specificity) Result unit: ratio   Equation: LR_Neg = (1-Sensitivity) / Specificity Result unit: ratio   Variable: Sensitivity Unit: fraction Maximum value: 1   Variable: Specificity Unit: fraction Maximum value: 1     Likelihood Ratio of Negative from Raw Data   Source File: LikelihoodRNData.eq     Equation: Sensitivity = True_Pos / (True_Pos + False_Neg) Result unit: fraction   Equation: Specificity = True_Neg / (True_Neg + False_Pos) Result unit: fraction   Equation: LR_Neg = (1-Sensitivity) / Specificity Result unit: ratio   Variable: True_Pos Unit: #   Variable: False_Pos Unit: #   Variable: True_Neg Unit: #   Variable: False_Neg Unit: #     Likelihood Ratio of Positive from Raw Data   Source File: LikelihoodRPData.eq     Equation: Sensitivity = True_Pos / (True_Pos + False_Neg) Result unit: fraction   Equation: Specificity = True_Neg / (True_Neg + False_Pos) Result unit: fraction   Equation: LR_Pos = Sensitivity / (1-Specificity) Result unit: ratio   Variable: True_Pos Unit: #   Variable: False_Pos Unit: #   Variable: True_Neg Unit: #   Variable: False_Neg Unit: #     Lung Age Estimation for Smoking Cessation Counseling   Source File: LungAge.eq     Equation: Male_Lung_Age = (2.87 * Height) - (31.25 * FEV1) - 39.375 Result unit: yr   Equation: Female_Lung_Age = (3.56 * Height) - (40 * FEV1) - 77.28 Result unit: yr   Variable: Height Unit: in   Variable: FEV1 Unit: L     Lung Cancer One Year Risk Estimation (for smokers 50-75 years old)   Source File: LungCancerRisk.cc     Equation: CPD_Term = (0.060818386 * CPD) - ((CPD > 15) * (0.00014652216 * power((CPD - 15),3))) + ((CPD > 20) * (0.00018486938 * power((CPD - 20.185718),3))) - ((CPD > 40) * (0.000038347226 * power((CPD - 40), 3))) Result unit:   Equation: Smk_Term = (0.11425297 * Smk) - ((Smk > 27) * (0.000080091477 * power((Smk - 27.6577),3))) + ((Smk > 40) * (0.00017069483 * power((Smk - 40),3))) - ((Smk > 50) * (0.000090603358 * power((Smk - 50.910335),3))) Result unit:   Equation: Quit_Term = (0.085684793 * Quit) + (0.0065499693 * power(Quit,3)) - ((Quit > 0) * (0.0068305845 * power((Quit - 0.50513347),3))) + ((Quit > 12) * (0.00028061519 * power((Quit - 12.295688),3))) Result unit:   Equation: Age_Term = (0.070322812 * Age) - ((Age > 53) * (0.00009382122 * power((Age - 53.459001),3))) + ((Age > 61) * (0.00018282661 * power((Age - 61.954825),3))) - ((Age > 70) * (0.000089005389 * power((Age - 70.910335),3))) Result unit:   Equation: Term_Tot = CPD_Term + Smk_Term - Quit_Term + Age_Term + Asb - Sex - 9.7960571 Result unit:   Equation: Risk = 100 * (1 - power(0.99629, eTo(Term_Tot))) Result unit: %   Variable: CPD Unit: # Default value: 20   Variable: Smk Unit: yr Default value: 1   Variable: Quit Unit: yr   Variable: Age Unit: yr Minimum value: 50 Maximum value: 75   Radio Button Variable: Asb Discrete variable option: No asbestos exposure Variable value: 0 Discrete variable option: Positive asbestos exposure Variable value: 0.2153936   Radio Button Variable: Sex Discrete variable option: Female Variable value: 0.05827261 Discrete variable option: Male Variable value: 0     Lung Volume Multicalc®   Source File: LungVolumes.eq     Equation: Func_Res_Cap = Exp_Reserve_Vol + Residual_Vol Result unit: L   Equation: Insp_Cap = Insp_Reserve_Vol + Tidal_Vol Result unit: L   Equation: Total_Lung_Cap = Insp_Reserve_Vol + Tidal_Vol + Exp_Reserve_Vol + Residual_Vol Result unit: L   Equation: Vital_Cap = Insp_Reserve_Vol + Tidal_Vol + Exp_Reserve_Vol Result unit: L   Equation: Closing_Cap = Closing_Vol + Residual_Vol Result unit: L   Equation: CV_VC_Ratio = 100 * Closing_Vol / Vital_Cap Result unit: %   Equation: CC_TLC_Ratio = 100 * Closing_Cap / Total_Lung_Cap Result unit: %   Equation: RV_TLC_Ratio = 100 * Residual_Vol / Total_Lung_Cap Result unit: %   Variable: Exp_Reserve_Vol Unit: L   Variable: Residual_Vol Unit: L   Variable: Insp_Reserve_Vol Unit: L   Variable: Tidal_Vol Unit: L   Variable: Closing_Vol Unit: L       M   Maintenance Fluid Calculation for Children   Source File: MaintenanceFluidChildren.eq     Equation: Fluid_Rate = Daily_Vol / 24 Result unit: mL/hr   Variable: Weight Unit: kg Minimum value: 3.499 Maximum value: 200     Mean Corpuscular Hemoglobin Concentration   Source File: MeanCorpHbConc.eq     Equation: MCHC = Hb * 100 / Hct Result unit: gm/dL   Variable: Hb Unit: gm/dL   Variable: Hct Unit: %     Mean Corpuscular Hemoglobin   Source File: MeanCorpHb.eq     Equation: MCH = Hb * 10 / RBC Result unit: pg   Variable: Hb Unit: gm/dL   Variable: RBC Unit: 10^12/L     Mean Corpuscular Volume   Source File: MeanCorpVol.eq     Equation: MCV = Hct * 10 / RBC Result unit: fL   Variable: Hct Unit: %   Variable: RBC Unit: 10^12/L     Mean Vascular Pressure (systemic or pulmonary)   Source File: MeanVascPres.eq     Equation: MV_BP = Diastolic_BP + ((Systolic_BP - Diastolic_BP) / 3) Result unit: mmHg   Variable: Systolic_BP Unit: mmHg   Variable: Diastolic_BP Unit: mmHg     MELD Score for End-Stage Liver Disease (NOT appropriate for patients under the age of 12)   Source File: MELD.eq     Variable: Creatinine Unit: mg/dL Minimum value: 1 Maximum value: 4   Variable: Bilirubin Unit: mg/dL Minimum value: 1 Maximum value: 200   Variable: INR Minimum value: 1 Maximum value: 100   Equation: MELD_Score = 10 * ((0.957 * ln(Creatinine)) + (0.378 * ln(Bilirubin)) + (1.12 * ln(INR))) + 6.43 Result unit:     MELDNa Score for End-Stage Liver Disease (NOT appropriate for patients under the age of 12)   Source File: MELDNa.eq     Variable: Creatinine Unit: mg/dL Minimum value: 1 Maximum value: 4   Variable: Bilirubin Unit: mg/dL Minimum value: 1 Maximum value: 200   Variable: INR Minimum value: 1 Maximum value: 100   Variable: Serum_Na Unit: mmol/L Minimum value: 125 Maximum value: 140   Equation: MELD_Score = 10 * ((0.957 * ln(Creatinine)) + (0.378 * ln(Bilirubin)) + (1.12 * ln(INR))) + 6.43 Result unit:   Equation: MELDNa_Score = MELD_Score - Serum_Na - (0.025 * MELD_Score * (140 - Serum_Na)) + 140 Result unit:       N   Nasal Canula Oxygen Fractional Inspired O2 (FIO2) Estimate   Source File: NasalO2FIO2.eq     Equation: FIO2 = 21 + (Nasal_O2 * 3) Result unit: %   Variable: Nasal_O2 Unit: L/min     Negative Predictive Value from Raw Data   Source File: NegPredValueData.eq     Equation: Neg_Pred_Value = 100 * True_Neg / (True_Neg + False_Neg) Result unit: %   Variable: True_Neg Unit: #   Variable: False_Neg Unit: #     Negative Predictive Value of a Test   Source File: NegPredVal.eq     Equation: NPV = 100 * ((1 - Prevalence) * Specificity) / ((1-Prevalence) * Specificity + (Prevalence * (1 - Sensitivity))) Result unit: %   Variable: Prevalence Unit: fraction   Variable: Sensitivity Unit: fraction   Variable: Specificity Unit: fraction     Newborn Hyperbilirubinemia Assessment   Source File: NewbornHyperbili.cc     Equation: p40th = interpN1(n1_40th, Infant_Age) Result unit:   Equation: p75th = interpN1(n1_75th, Infant_Age) Result unit:   Equation: p95th = interpN1(n1_95th, Infant_Age) Result unit:   Equation: plow = interpN2(n2_low, Infant_Age) Result unit:   Equation: pmed = interpN2(n2_med, Infant_Age) Result unit:   Equation: phigh = interpN2(n2_high, Infant_Age) Result unit:   Equation: tlow = interpN3(n3_low, Infant_Age) Result unit:   Equation: tmed = interpN3(n3_med, Infant_Age) Result unit:   Equation: thigh = interpN3(n3_high, Infant_Age) Result unit:   Variable: Infant_Age Unit: Hours Minimum value: 12 Maximum value: 147.99   Variable: Total_Bilirubin Unit: mg/dL_Bili   Radio Button Variable: Clinical_Risk_Group Discrete variable option: Gestation >= 38 weeks and medically well Variable value: 1 Discrete variable option: Gestation >= 38 weeks but clinical risk factors Variable value: 2 Discrete variable option: Gestation 35-37.9 weeks and medically well Variable value: 2 Discrete variable option: Gestation 35-37.9 weeks and clinical risk factors Variable value: 3     Nonbiliary Cirrhosis Prognostic Criteria for One Year Survival   Source File: NonBiliaryLiverDx.cc     Equation: LR_Score = (1.64 * Aminopyrene_BT) - (1.95 * Ascites) - .393 Result unit: score   Equation: Survival = 100 * eTo(LR_Score) / (1 + eTo(LR_Score)) Result unit: %   Radio Button Variable: Ascites Discrete variable option: Absent Variable value: 0 Discrete variable option: Moderate Variable value: 1 Discrete variable option: Severe Variable value: 2   Variable: Aminopyrene_BT Unit: ratio Maximum value: 1     Normal Range for Body Weight   Source File: NormalBodyWgt.eq     Equation: Low_Normal = 20 * power(Height, 2) Result unit: kg   Equation: High_Normal = 25 * power(Height, 2) Result unit: kg   Variable: Height Unit: m     Number Needed to Harm (NNH) from Odds Ratio (OR) and Patient Expected Event Rate (PEER)   Source File: NumberNeededToHarm.eq     Equation: NNH = ((PEER * (OR-1)) + 1) / (PEER * (OR - 1) * (1 - PEER)) Result unit:   Variable: PEER Unit: fraction   Variable: OR Unit: ratio     Number Needed to Treat (NNT) from Odds Ratio (OR) and Patient Expected Event Rate (PEER)   Source File: NumberNeededToTreat.eq     Equation: NNT = (1 - (PEER * (1 - OR))) / (PEER * (1 - PEER) * (1 - OR)) Result unit: #   Variable: PEER Unit: fraction   Variable: OR Unit: ratio       O   Odds from Probability   Source File: OddsProb.eq     Equation: Odds = Probability / (1 - Probability) Result unit: ratio   Variable: Probability Unit: fraction Maximum value: 1     Odds Ratio and Relative Risk   Source File: OddsRatio.eq     Equation: Odds_Ratio = (Exp_Group_Positive / (Exp_Group_Total - Exp_Group_Positive)) / (Control_Group_Positive / (Control_Group_Total - Control_Group_Positive)) Result unit: ratio   Equation: Relative_Risk = (Exp_Group_Positive / Exp_Group_Total) / (Control_Group_Positive / Control_Group_Total) Result unit: ratio   Variable: Exp_Group_Positive Unit: number   Variable: Exp_Group_Total Unit: number   Variable: Control_Group_Positive Unit: number   Variable: Control_Group_Total Unit: number     Omeprazole Therapeutic Gain (over placebo) in Dyspepsia   Source File: OmeprazoleTheraputicGain.cc     Equation: Tx_Index = (1.69 * Night_Pain) + (0.16 * (BMI - 25)) + (1.3 * Other_Rx) - (1.83 * Nausea) - 0.67 Result unit:   Variable: BMI~BodyMassIndex.eq~BMI_param   Radio Button Variable: Night_Pain Discrete variable option: Absent Variable value: 0 Discrete variable option: Present Variable value: 1   Radio Button Variable: Other_Rx Discrete variable option: H2 blockers or antacids Not used in last month Variable value: 0 Discrete variable option: Other Rx used Variable value: 1   Radio Button Variable: Nausea Discrete variable option: Absent Variable value: 0 Discrete variable option: Present Variable value: 1     Omeprazole Therapeutic Index in Dyspepsia   Source File: OmeprazoleTheraputicIndex.cc     Equation: TxIndex = (1.69 * NightPain) + (.16 * (BMI - 25)) + (1.3 * OtherRx) - (1.83 * Nausea) - .67 Result unit:   Variable: BMI~BodyMassIndex.eq~BMI_param   Radio Button Variable: NightPain Discrete variable option: Absent Variable value: 0 Discrete variable option: Present Variable value: 1   Radio Button Variable: OtherRx Discrete variable option: H2 blockers or antacids Not used in last month Variable value: 0 Discrete variable option: Other Rx used Variable value: 1   Radio Button Variable: Nausea Discrete variable option: Absent Variable value: 0 Discrete variable option: present Variable value: 1     Osmolal Gap Calculator (SI units)   Source File: OsmolalGap_SI.eq     Equation: Calculated_Osm = (Serum_Na * 2) + Serum_Glucose + Serum_BUN + Serum_Ethanol Result unit: mOsm/kg   Equation: Osmolal_Gap = Measured_Osm - Calculated_Osm Result unit: mOsm/kg   Variable: Serum_Na Unit: mEq/L   Variable: Serum_Glucose Unit: mmol/L   Variable: Serum_BUN Unit: mmol/L   Variable: Serum_Ethanol Unit: mmol/L   Variable: Measured_Osm Unit: mOsm/kg     Osmolal Gap Calculator   Source File: OsmolalGap.eq     Equation: Calculated_Osm = (Serum_Na * 2) + (Serum_Glucose / 18) + (Serum_BUN / 2.8) + (Serum_Ethanol / 4.6) Result unit: mOsm/kg   Equation: Osmolal_Gap = Measured_Osm - Calculated_Osm Result unit: mOsm/kg   Variable: Serum_Na Unit: mEq/L   Variable: Serum_Glucose Unit: mg/dL   Variable: Serum_BUN Unit: mg/dL   Variable: Serum_Ethanol Unit: mg/dL   Variable: Measured_Osm Unit: mOsm/kg     Osmolality Estimator (serum)   Source File: Osmolality.eq     Equation: Osm = (Na * 2) + (Glucose / 18) + (BUN / 2.8) Result unit: mOsm/kg   Variable: Na Unit: mEq/L   Variable: Glucose Unit: mg/dL   Variable: BUN Unit: mg/dL     Osmolar Clearance   Source File: OsmolalClearance.eq     Equation: Osm_Clear = (Urine_Osm / Serum_Osm) * Urine_Per_Day / 24 Result unit: mL/hr   Variable: Urine_Osm Unit: mOsm/kg   Variable: Serum_Osm Unit: mOsm/kg   Variable: Urine_Per_Day Unit: mL     Osteoporosis Risk Assessment by Composite Linear Estimate (ORACLE score)   Source File: OsteoporosisORACLE.cc     Equation: ORACLE = -1 / ( (0.02 * Age) - (0.13 * BMI) - (0.39 * HRTx) + (0.74 * HxFx) - (3 * UBPI) ) Result unit: score   Variable: Age Unit: yr   Variable: BMI~BodyMassIndex.eq~BMI_param Unit: index   Radio Button Variable: HRTx Discrete variable option: Yes Variable value: 1 Discrete variable option: No Variable value: 0   Radio Button Variable: HxFx Discrete variable option: Yes Variable value: 1 Discrete variable option: No Variable value: 0   Variable: UBPI Unit: index     Osteoporosis Risk SCORE (Simple Calculated Osteoporosis Risk Estimation)   Source File: OsteoporosisRiskSCORE.cc     Equation: SCORE = Race + Rheum_Arth + Fracture_Hx + Estrogen + (3 * Age / 10) - (Weight / 10) Result unit: score   Radio Button Variable: Race Discrete variable option: Black Variable value: 0 Discrete variable option: Non-Black Variable value: 5   Radio Button Variable: Rheum_Arth Discrete variable option: Present Variable value: 4 Discrete variable option: Absent Variable value: 0   Radio Button Variable: Fracture_Hx Discrete variable option: No Nontraumatic Fractures Variable value: 0 Discrete variable option: 1 Nontraumatic Variable value: 4 Discrete variable option: 2 Nontraumatic Variable value: 8 Discrete variable option: 3 or more Nontraumatic Variable value: 12   Variable: Age Unit: yr   Radio Button Variable: Estrogen Discrete variable option: Prior use Variable value: 0 Discrete variable option: NO prior use Variable value: 1   Variable: Weight Unit: lb     Osteoporosis Self Assessment Tool for Men   Source File: OsteoporosisST_M.cc     Equation: OST = 0.2 * (Weight - Age) Result unit: score   Variable: Weight Unit: kg   Variable: Age Unit: yr     Osteoporosis Self Assessment Tool for Women   Source File: OsteoporosisST_W.cc     Equation: OST = 0.2 * (Weight - Age) Result unit: score   Variable: Weight Unit: kg   Variable: Age Unit: yr     Oswestry Disability Index Version 1   Source File: OswestryDisability1.cc     Equation: Top_Possible_Score = 5 * (S1A + S2A + S3A + S4A + S5A + S6A + S7A + S8A + S9A + S10A) Result unit: number   Equation: Subject_Score = (S1 * S1A) + (S2 * S2A) + (S3 * S3A) + (S4 * S4A) + (S5 * S5A) + (S6 * S6A) + (S7 * S7A) + (S8 * S8A) + (S9 * S9A) + (S10 * S10A) Result unit: points   Equation: ODI = 100 * Subject_Score / Top_Possible_Score Result unit: %   Radio Button Variable: S1 Discrete variable option: I can tolerate the pain I have without having to use painkillers Variable value: 0 Discrete variable option: The pain is bad but I manage without taking painkillers Variable value: 1 Discrete variable option: Painkillers give complete relief from pain Variable value: 2 Discrete variable option: Painkillers give moderate relief from pain Variable value: 3 Discrete variable option: Painkillers give very little relief from pain Variable value: 4 Discrete variable option: Painkillers have no effect on the pain and I do not use them Variable value: 5   Radio Button Variable: S2 Discrete variable option: I can look after myself normally without causing extra pain Variable value: 0 Discrete variable option: I can look after myself normally but it causes extra pain Variable value: 1 Discrete variable option: It is painful to look after myself and I am slow and careful Variable value: 2 Discrete variable option: I need some help but manage most of my personal care Variable value: 3 Discrete variable option: I need help every day in most aspects of self-care Variable value: 4 Discrete variable option: I do not get dressed, wash with difficulty and stay in bed Variable value: 5   Radio Button Variable: S3 Discrete variable option: I can lift heavy weights without extra pain Variable value: 0 Discrete variable option: I can lift heavy weights but it gives extra pain Variable value: 1 Discrete variable option: Pain prevents me from lifting heavy weights off the floor, but I can manage if they are conveniently positioned, e.g. on a table Variable value: 2 Discrete variable option: Pain prevents me from lifting heavy weights but I can manage light to medium weights if they are conveniently positioned Variable value: 3 Discrete variable option: I can lift only very light weights Variable value: 4 Discrete variable option: I cannot lift or carry anything at all Variable value: 5   Radio Button Variable: S4 Discrete variable option: Pain does not prevent my walking any distance Variable value: 0 Discrete variable option: Pain prevents me walking more than 1 mile Variable value: 1 Discrete variable option: Pain prevents me walking more than 1/2 mile Variable value: 2 Discrete variable option: Pain prevents me walking more than 1/4 mile Variable value: 3 Discrete variable option: I can only walk using a stick or crutches Variable value: 4 Discrete variable option: I am in bed most of the time and have to crawl to the toilet Variable value: 5   Radio Button Variable: S5 Discrete variable option: I can sit in any chair as long as I like Variable value: 0 Discrete variable option: I can sit in my favourite chair as long as I like Variable value: 1 Discrete variable option: Pain prevents me sitting more than 1 hour Variable value: 2 Discrete variable option: Pain prevents me from sitting more than 1/2 an hour Variable value: 3 Discrete variable option: Pain prevents me from sitting more than 10 minutes Variable value: 4 Discrete variable option: Pain prevents me from sitting at all Variable value: 5   Radio Button Variable: S6 Discrete variable option: I can stand as long as I want without extra pain Variable value: 0 Discrete variable option: I can stand as long as I want but it gives me extra pain Variable value: 1 Discrete variable option: Pain prevents me from standing for more than 1 hour Variable value: 2 Discrete variable option: Pain prevents me from standing for more than 30 minutes Variable value: 3 Discrete variable option: Pain prevents me from standing for more than 10 minutes Variable value: 4 Discrete variable option: Pain prevents me from standing at all Variable value: 5   Radio Button Variable: S7 Discrete variable option: Pain does not prevent me from sleeping well Variable value: 0 Discrete variable option: I can sleep well only by using tablets Variable value: 1 Discrete variable option: Even when I take tablets I have less than 6 hours sleep Variable value: 2 Discrete variable option: Even when I take tablets I have less than 4 hours sleep Variable value: 3 Discrete variable option: Even when I take tablets I have less than 2 hours sleep Variable value: 4 Discrete variable option: Pain prevents me from sleeping at all Variable value: 5   Radio Button Variable: S8 Discrete variable option: My sex life is normal and causes no extra pain Variable value: 0 Discrete variable option: My sex life is normal but causes some extra pain Variable value: 1 Discrete variable option: My sex life is nearly normal but is very painful Variable value: 2 Discrete variable option: My sex life is severely restricted by pain Variable value: 3 Discrete variable option: My sex life is nearly absent because of pain Variable value: 4 Discrete variable option: Pain prevents any sex life at all Variable value: 5   Radio Button Variable: S9 Discrete variable option: My social life is normal and gives me no extra pain Variable value: 0 Discrete variable option: My social life is normal but increases the degree of pain Variable value: 1 Discrete variable option: Pain has no significant effect on my social life apart from limiting my more energetic interests, e.g. dancing, etc Variable value: 2 Discrete variable option: Pain has restricted my social life and I do not go out as often Variable value: 3 Discrete variable option: Pain has restricted social life to my home Variable value: 4 Discrete variable option: I have no social life because of pain Variable value: 5   Radio Button Variable: S10 Discrete variable option: I can travel anywhere without extra pain Variable value: 0 Discrete variable option: I can travel anywhere but it gives me extra pain Variable value: 1 Discrete variable option: Pain is bad but I manage journeys over two hours Variable value: 2 Discrete variable option: Pain restricts me to journeys of less than one hour Variable value: 3 Discrete variable option: Pain restricts me to short necessary journeys under 30 minutes Variable value: 4 Discrete variable option: Pain prevents travel except to the doctor or hospital Variable value: 5     Oswestry Disability Index Version 2   Source File: OswestryDisability2.cc     Equation: Top_Possible_Score = 5 * (S1A + S2A + S3A + S4A + S5A + S6A + S7A + S8A + S9A + S10A) Result unit: number   Equation: Subject_Score = (S1 * S1A) + (S2 * S2A) + (S3 * S3A) + (S4 * S4A) + (S5 * S5A) + (S6 * S6A) + (S7 * S7A) + (S8 * S8A) + (S9 * S9A) + (S10 * S10A) Result unit: points   Equation: ODI = 100 * Subject_Score / Top_Possible_Score Result unit: %   Radio Button Variable: S1 Discrete variable option: I have no pain at the moment Variable value: 0 Discrete variable option: The pain is very mild at the moment Variable value: 1 Discrete variable option: The pain is moderate at the moment Variable value: 2 Discrete variable option: The pain is fairly severe at the moment Variable value: 3 Discrete variable option: The pain is very severe at the moment Variable value: 4 Discrete variable option: The pain is the worst imaginable at the moment Variable value: 5   Radio Button Variable: S2 Discrete variable option: I can look after myself normally without causing extra pain Variable value: 0 Discrete variable option: I can look after myself normally but it is very painful Variable value: 1 Discrete variable option: It is painful to look after myself and I am slow and careful Variable value: 2 Discrete variable option: I need some help but manage most of my personal care Variable value: 3 Discrete variable option: I need help every day in most aspects of self care Variable value: 4 Discrete variable option: I do not get dressed, wash with difficulty and stay in bed Variable value: 5   Radio Button Variable: S3 Discrete variable option: I can lift heavy weights without extra pain Variable value: 0 Discrete variable option: I can lift heavy weights but it gives extra pain Variable value: 1 Discrete variable option: Pain prevents me from lifting heavy weights off the floor but I can manage if they are conveniently positioned, e.g. on a table Variable value: 2 Discrete variable option: Pain prevents me from lifting heavy weights but I can manage light to medium weights if they are conveniently positioned Variable value: 3 Discrete variable option: I can lift only very light weights Variable value: 4 Discrete variable option: I cannot lift or carry anything at all Variable value: 5   Radio Button Variable: S4 Discrete variable option: Pain does not prevent me walking any distance Variable value: 0 Discrete variable option: Pain prevents me walking more than 1 mile Variable value: 1 Discrete variable option: Pain prevents me walking more than than 1/2 of a mile Variable value: 2 Discrete variable option: Pain prevents me walking more than 100 yards Variable value: 3 Discrete variable option: I can only walk using a stick or crutches Variable value: 4 Discrete variable option: I am in bed most of the time and have to crawl to the toilet Variable value: 5   Radio Button Variable: S5 Discrete variable option: I can sit in any chair as long as I like Variable value: 0 Discrete variable option: I can sit in my favourite chair as long as I like Variable value: 1 Discrete variable option: Pain prevents me from sitting for more than 1 hour Variable value: 2 Discrete variable option: Pain prevents me from sitting for more than 1/2 an hour Variable value: 3 Discrete variable option: Pain prevents me from sitting for more than 10 minutes Variable value: 4 Discrete variable option: Pain prevents me from sitting at all Variable value: 5   Radio Button Variable: S6 Discrete variable option: I can stand as long as I want without extra pain Variable value: 0 Discrete variable option: I can stand as long as I want but it gives me extra pain Variable value: 1 Discrete variable option: Pain prevents me from standing for more than 1 hour Variable value: 2 Discrete variable option: Pain prevents me from standing for more than 1/2 an hour Variable value: 3 Discrete variable option: Pain prevents me from standing for more than 10 minutes Variable value: 4 Discrete variable option: Pain prevents me from standing at all Variable value: 5   Radio Button Variable: S7 Discrete variable option: My sleep is never disturbed by pain Variable value: 0 Discrete variable option: My sleep is occasionally disturbed by pain Variable value: 1 Discrete variable option: Because of pain I have less than 6 hours sleep Variable value: 2 Discrete variable option: Because of pain I have less than 4 hours sleep Variable value: 3 Discrete variable option: Because of pain I have less than 2 hours sleep Variable value: 4 Discrete variable option: Pain prevents me from sleeping at all Variable value: 5   Radio Button Variable: S8 Discrete variable option: My sex life is normal and causes no extra pain Variable value: 0 Discrete variable option: My sex life is normal but causes some extra pain Variable value: 1 Discrete variable option: My sex life is nearly normal but is very painful Variable value: 2 Discrete variable option: My sex life is severely restricted by pain Variable value: 3 Discrete variable option: My sex life is nearly absent because of pain Variable value: 4 Discrete variable option: Pain prevents any sex life at all Variable value: 5   Radio Button Variable: S9 Discrete variable option: My social life is normal and causes me no extra pain Variable value: 0 Discrete variable option: My social life is normal but increases the degree of pain Variable value: 1 Discrete variable option: Pain has no significant effect on my social life apart from limiting my more energetic interests, e.g. sport, etc... Variable value: 2 Discrete variable option: Pain has restricted my social life and I do not go out as often Variable value: 3 Discrete variable option: Pain has restricted social life to my home Variable value: 4 Discrete variable option: I have no social life because of pain Variable value: 5   Radio Button Variable: S10 Discrete variable option: I can travel anywhere without pain Variable value: 0 Discrete variable option: I can travel anywhere but it gives extra pain Variable value: 1 Discrete variable option: Pain is bad but I manage journeys over two hours Variable value: 2 Discrete variable option: Pain restricts me to journeys of less than one hour Variable value: 3 Discrete variable option: Pain restricts me to short necessary journeys under 30 minutes Variable value: 4 Discrete variable option: Pain prevents me from travelling except to receive treatment Variable value: 5     Overall Accuracy of a Test from Raw Data   Source File: OverallAccData.eq     Equation: Overall_Accuracy = 100 * (True_Pos + True_Neg) / (True_Pos + True_Neg + False_Pos + False_Neg) Result unit: %   Variable: True_Pos Unit: #   Variable: False_Pos Unit: #   Variable: True_Neg Unit: #   Variable: False_Neg Unit: #     Overall Accuracy of a Test from Sensitivity, Specificity and Prevalence   Source File: OverallAccSS.eq     Equation: True_Pos = Sensitivity * Prevalence Result unit: ratio   Equation: True_Neg = Specificity * (1 - Prevalence) Result unit: ratio   Equation: Overall_Accuracy = 100 * (True_Pos + True_Neg) Result unit: %   Variable: Prevalence Unit: fraction Maximum value: 1   Variable: Sensitivity Unit: fraction Maximum value: 1   Variable: Specificity Unit: fraction Maximum value: 1     Oxygen Consumption   Source File: O2Consumption.eq     Equation: VO2 = VExp * ( FIO2 - FEO2 ) Result unit: mL/min   Variable: VExp Unit: mL/min   Variable: FIO2 Unit: fractionO2   Variable: FEO2 Unit: fractionO2     Oxygen Content of Arterial Blood   Source File: OxygenContentArterial.eq     Equation: CaO2 = ( Hgb * 13.4 * O2Sat / 100 ) + ( PaO2 * 0.031 ) Result unit: mL/L   Variable: Hgb Unit: gm/dL   Variable: O2Sat Unit: %   Variable: PaO2 Unit: mmHg     Oxygen Content of Venous Blood   Source File: OxygenContentVenous.eq     Equation: CvO2 = ( Hgb * 13.4 * O2vSat / 100 ) + ( PvO2 * 0.031 ) Result unit: mL/L   Variable: Hgb Unit: gm/dL   Variable: O2vSat Unit: %   Variable: PvO2 Unit: mmHg     Oxygenation Index (OI)   Source File: OxygenIndex.eq     Equation: OI = FiO2 * Mean_Airway_Pressure / PaO2 Result unit: index   Variable: FiO2 Unit: %O2   Variable: Mean_Airway_Pressure Unit: cmH2O   Variable: PaO2 Unit: mmHg       p   paO2 / FIO2 Ratio (for MODS Calculation)   Source File: PaO2_FIO2Ratio.eq     Equation: p_aO2_FIO2_Ratio = p_aO2 / FIO2 Result unit: ratio   Variable: p_aO2 Unit: mmHg   Variable: FIO2 Unit: fractionO2 Maximum value: 1     PaO2 Correction for FIO2   Source File: PaO2Correction.eq     Equation: PO2_Corrected = 21 * PaO2 / FIO2 Result unit: torr   Variable: PaO2 Unit: torr   Variable: FIO2 Unit: %     Peak Expiratory Flow Prediction   Source File: PeakExpFlow.eq     Equation: PEF_Female = eTo((0.376 * ln(Age)) - (0.012 * Age) - (58.8 / Height) + 5.63) Result unit: L/min   Equation: PEF_Male = eTo((0.544 * ln(Age)) - (0.0151 * Age) - (74.7 / Height) + 5.48) Result unit: L/min   Variable: Height Unit: cm   Variable: Age Unit: yr Minimum value: 15 Maximum value: 85     Peak Expiratory Flow Variability in Asthma   Source File: PeakExpFlowVariability.eq     Equation: Avg_Daily_Variability = 100 * (Highest_PEF - Lowest_PEF) / Highest_PEF Result unit: %   Variable: Highest_PEF Unit: L/min   Variable: Lowest_PEF Unit: L/min     PELD Score for End-Stage Liver Disease (patients less than 12 years old)   Source File: PELD.eq     Equation: Age_Months = Age * 12 Result unit:   Equation: Hgt_M = rangeN1(n2_Height, Age_Months) Result unit:   Equation: Wgt_M = rangeN1(n2_Weight, Age_Months) Result unit:   Equation: Hgt_F = rangeN1(n1_Height, Age_Months) Result unit:   Equation: Wgt_F = rangeN1(n1_Weight, Age_Months) Result unit:   Equation: PELD_Score = 10 * ((0.480 * ln(Bilirubin)) + (1.857 * ln(INR)) - (0.687 * ln(Albumin)) + Listing_Age_Factor + Growth) Result unit:   Radio Button Variable: Sex Discrete variable option: Female Variable value: 1 Discrete variable option: Male Variable value: 2   Variable: Age Unit: yr Maximum value: 11.99   Variable: Weight Unit: kg   Variable: Height Unit: cm   Variable: Albumin Unit: gm/dL Minimum value: 1 Maximum value: 1000   Variable: Bilirubin Unit: mg/dL Minimum value: 1 Maximum value: 1000   Variable: INR Minimum value: 1 Maximum value: 1000   Radio Button Variable: Listing Discrete variable option: Age at listing 1 year or older Variable value: 0 Discrete variable option: Age at listing less than 1 year Variable value: 1   Radio Button Variable: Exception_Diagnoses Discrete variable option: Non contributory Variable value: 0 Discrete variable option: Urea cycle disorder Variable value: 1 Discrete variable option: Organic acidemia Variable value: 1 Discrete variable option: Hepatoblastoma Variable value: 1     PFT Adjusted Predicted Values for Men MultiCalc®   Source File: PulmonaryPredictM_A.eq     Equation: FEV1 = Race * 1.08 * ((0.043 * Height) - (0.029 * Age) - 2.49 ) Result unit: L   Equation: FVC = Race * 1.1 * ((0.0576 * Height) - (0.0269 * Age) - 4.34 ) Result unit: L   Equation: FEV1_FVC_Ratio = 87.2 - (0.18 * Age) Result unit: %   Variable: Height Unit: cm   Variable: Age Unit: yr   Radio Button Variable: Race Discrete variable option: Caucasian Variable value: 1 Discrete variable option: Black Variable value: 0.87 Discrete variable option: Asian Variable value: 0.93     PFT Adjusted Predicted Values for Women MultiCalc®   Source File: PulmonaryPredictF_A.eq     Equation: FEV1 = Race * 1.08 * ((0.0395 * Height) - (0.025 * Age) - 2.6 ) Result unit: L   Equation: FVC = Race * 1.15 * ((0.0443 * Height) - (0.026 * Age) - 2.89 ) Result unit: L   Equation: FEV1_FVC_Ratio = 89.1 - (0.19 * Age) Result unit: %   Variable: Height Unit: cm   Variable: Age Unit: yr   Radio Button Variable: Race Discrete variable option: Caucasian Variable value: 1 Discrete variable option: Black Variable value: 0.87 Discrete variable option: Asian Variable value: 0.93     PFT Predicted Values for Boys MultiCalc®   Source File: PulmonaryPredictB.eq     Equation: FEV1 = eTo(((1.2669 + (0.0174 * Age)) * Height) - 1.2933) Result unit: L   Equation: FVC = eTo(((1.3731 + (0.0164 * Age)) * Height) - 1.2782) Result unit: L   Equation: FEV1_FVC_Ratio = 86.21 Result unit: %   Variable: Height Unit: m   Variable: Age Unit: yr     PFT Predicted Values for Girls MultiCalc®   Source File: PulmonaryPredictG.eq     Equation: FEV1 = eTo(((1.5016 + (0.0119 * Age)) * Height) - 1.5974) Result unit: L   Equation: FVC = eTo(((1.48 + (0.0127 * Age)) * Height) - 1.4057) Result unit: L   Equation: FEV1_FVC_Ratio = 88.88 Result unit: %   Variable: Height Unit: m   Variable: Age Unit: yr     PFT Predicted Values for Men MultiCalc®   Source File: PulmonaryPredictM.eq     Equation: FEV1 = Race * ((0.043 * Height) - (0.029 * Age) - 2.49 ) Result unit: L   Equation: FVC = Race * ((0.0576 * Height) - (0.0269 * Age) - 4.34 ) Result unit: L   Equation: FEV1_FVC_Ratio = 87.2 - (0.18 * Age) Result unit: %   Variable: Height Unit: cm   Variable: Age Unit: yr   Radio Button Variable: Race Discrete variable option: Caucasian Variable value: 1 Discrete variable option: Black Variable value: 0.87 Discrete variable option: Asian Variable value: 0.93     PFT Predicted Values for Women MultiCalc®   Source File: PulmonaryPredictF.eq     Equation: FEV1 = Race * ((0.0395 * Height) - (0.025 * Age) - 2.6 ) Result unit: L   Equation: FVC = Race * ((0.0443 * Height) - (0.026 * Age) - 2.89 ) Result unit: L   Equation: FEV1_FVC_Ratio = 89.1 - (0.19 * Age) Result unit: %   Variable: Height Unit: cm   Variable: Age Unit: yr   Radio Button Variable: Race Discrete variable option: Caucasian Variable value: 1 Discrete variable option: Black Variable value: 0.87 Discrete variable option: Asian Variable value: 0.93     Phenytoin Free (Unbound) Drug Level (Adjusted for Hypoalbuminemia)   Source File: PhenytoinFree.eq     Equation: Phenytoin_Free = (0.55 * Phenytoin_Measured / Serum_Albumin) - 0.14 Result unit: mcgm/mL   Variable: Phenytoin_Measured Unit: mcgm/mL   Variable: Serum_Albumin Unit: gm/dL     Phenytoin Total Drug Level (Adjusted for Hypoalbuminemia and Renal Function)   Source File: PhenytoinAlb.eq     Equation: Phenytoin_Adjusted = Phenytoin_Measured /((Serum_Albumin * Renal_Fx ) + 0.1) Result unit: mcgm/mL   Variable: Phenytoin_Measured Unit: mcgm/mL   Radio Button Variable: Renal_Fx Discrete variable option: Adequate Renal Function Variable value: 0.2 Discrete variable option: Creat Clearance < 10 mL/min Variable value: 0.1   Variable: Serum_Albumin Unit: gm/dL Maximum value: 4.4     Pneumonia Mortality in Nursing Home Patients by Logistic Regression   Source File: PneumoniaMortalityNH_LR.cc     Equation: Terms = (0.046 * BUN) + (0.052 * WBC) + (0.613 * Abs_Lymph) + (0.017 * Pulse) + (0.555 * Sex) + (0.310 * Activity_Score) - (0.089 * BMI) + (0.970 * Mood_Deterioration) - 4.53 Result unit:   Equation: Mortality = 100 * eTo(Terms) / (1 + eTo(Terms)) Result unit: %   Variable: BUN Unit: mg/dL_BUN   Variable: WBC Unit: 10^3/microL   Radio Button Variable: Abs_Lymph Discrete variable option: >= 800/mcL Variable value: 0 Discrete variable option: < 800/mcL Variable value: 1   Variable: Pulse Unit: beats/min   Radio Button Variable: Sex Discrete variable option: Female Variable value: 0 Discrete variable option: Male Variable value: 1   Variable: Activity_Score~ActivityScore.cc~cctotal Maximum value: 4   Variable: BMI~BodyMassIndex.eq~BMI_param   Radio Button Variable: Mood_Deterioration Discrete variable option: Yes Variable value: 1 Discrete variable option: No Variable value: 0     Pneumothorax Degree of Collapse   Source File: PneumoThorax.eq     Equation: Percent_Pneumo = 100 * (1 - (power(Lung_Diameter,3) / power(Hemithorax_Diameter,3))) Result unit: %   Variable: Lung_Diameter Unit: cm   Variable: Hemithorax_Diameter Unit: cm     Positive Predictive Value from Raw Data   Source File: PosPredValueData.eq     Equation: Pos_Pred_Value = 100 * True_Pos / (True_Pos + False_Pos) Result unit: %   Variable: True_Pos Unit: #   Variable: False_Pos Unit: #     Positive Predictive Value of a Test   Source File: PosPredValue.eq     Equation: PPV = 100 * (Prevalence * Sensitivity) / (Prevalence * Sensitivity + ((1 - Prevalence) * (1 - Specificity))) Result unit: %   Variable: Prevalence Unit: fraction   Variable: Sensitivity Unit: fraction   Variable: Specificity Unit: fraction     POSSUM Score for Orthopedic Procedure Prognosis (SI Units)   Source File: POSSUMScoreSI.cc     Equation: Phys_Score = Age + Cardiac + CXR_Heart + Resp + CXR_Lung + BP + Pulse + Glasgow + BUN + Na + K + Hb + WBC + EKG Result unit: score   Equation: Op_Score = Magnitude + Op_Variables + Blood_Loss + Contamination + Malignancy + Timing Result unit: score   Equation: Mort_Term = eTo((0.13 * Phys_Score) + (0.16 * Op_Score) - 7.04) Result unit:   Equation: Morb_Term = eTo((0.16 * Phys_Score) + (0.19 * Op_Score) - 5.91) Result unit:   Equation: Mortality_Risk = 100 * Mort_Term / (1 + Mort_Term) Result unit: %   Equation: Morbitity_Risk = 100 * Morb_Term / (1 + Morb_Term) Result unit: %     POSSUM Score for Orthopedic Procedure Prognosis   Source File: POSSUMScore.cc     Equation: Phys_Score = Age + Cardiac + CXR_Heart + Resp + CXR_Lung + BP + Pulse + Glasgow + BUN + Na + K + Hb + WBC + EKG Result unit: score   Equation: Op_Score = Magnitude + Op_Variables + Blood_Loss + Contamination + Malignancy + Timing Result unit: score   Equation: Mort_Term = eTo((0.13 * Phys_Score) + (0.16 * Op_Score) - 7.04) Result unit:   Equation: Morb_Term = eTo((0.16 * Phys_Score) + (0.19 * Op_Score) - 5.91) Result unit:   Equation: Mortality_Risk = 100 * Mort_Term / (1 + Mort_Term) Result unit: %   Equation: Morbitity_Risk = 100 * Morb_Term / (1 + Morb_Term) Result unit: %     Post Test Odds from Pre Test Odds and Likelihood Ratio MultiCalc®   Source File: PostTestOdds.eq     Equation: Pre_Test_Odds = Prevalence / (1 - Prevalence) Result unit: ratio   Equation: Post_Test_Odds = Pre_Test_Odds * LR Result unit: ratio   Equation: Post_Test_Prob = Post_Test_Odds / (1 + Post_Test_Odds) Result unit: fraction   Variable: Prevalence Unit: fraction Maximum value: 1   Variable: LR Unit: ratio     Post Test Odds of a Negative from Raw Data   Source File: PostTestOddsNegData.eq     Equation: Prevalence = (True_Pos + False_Neg) / (True_Pos + True_Neg + False_Pos + False_Neg) Result unit: fraction   Equation: Sensitivity = True_Pos / (True_Pos + False_Neg) Result unit: fraction   Equation: Specificity = True_Neg / (True_Neg + False_Pos) Result unit: fraction   Equation: LR_Neg = (1-Sensitivity) / Specificity Result unit: ratio   Equation: Pre_Test_Odds = Prevalence / (1 - Prevalence) Result unit: ratio   Equation: Post_Test_Odds_Neg = Pre_Test_Odds * LR_Neg Result unit: ratio   Variable: True_Pos Unit: #   Variable: False_Pos Unit: #   Variable: True_Neg Unit: #   Variable: False_Neg Unit: #     Post Test Odds of a Negative Result from Sensitivity Specificity and Prevalence   Source File: PostTestOddsNegSS.eq     Equation: LR_Neg = (1-Sensitivity) / Specificity Result unit: ratio   Equation: Pre_Test_Odds = Prevalence / (1 - Prevalence) Result unit: ratio   Equation: Post_Test_Odds_Neg = Pre_Test_Odds * LR_Neg Result unit: ratio   Variable: Prevalence Unit: fraction Maximum value: 1   Variable: Sensitivity Unit: fraction Maximum value: 1   Variable: Specificity Unit: fraction Maximum value: 1     Post Test Odds of a Positive from Raw Data   Source File: PostTestOddsPosData.eq     Equation: Prevalence = (True_Pos + False_Neg) / (True_Pos + True_Neg + False_Pos + False_Neg) Result unit: fraction   Equation: Sensitivity = True_Pos / (True_Pos + False_Neg) Result unit: fraction   Equation: Specificity = True_Neg / (True_Neg + False_Pos) Result unit: fraction   Equation: LR_Pos = Sensitivity / (1-Specificity) Result unit: ratio   Equation: Pre_Test_Odds = Prevalence / (1 - Prevalence) Result unit: ratio   Equation: Post_Test_Odds_Pos = Pre_Test_Odds * LR_Pos Result unit: ratio   Variable: True_Pos Unit: #   Variable: False_Pos Unit: #   Variable: True_Neg Unit: #   Variable: False_Neg Unit: #     Post Test Odds of a Positive Result from Sensitivity Specificity and Prevalence   Source File: PostTestOddsPosSS.eq     Equation: LR_Pos = Sensitivity / (1-Specificity) Result unit: ratio   Equation: Pre_Test_Odds = Prevalence / (1 - Prevalence) Result unit: ratio   Equation: Post_Test_Odds_Pos = Pre_Test_Odds * LR_Pos Result unit: ratio   Variable: Prevalence Unit: fraction Maximum value: 1   Variable: Sensitivity Unit: fraction Maximum value: 1   Variable: Specificity Unit: fraction Maximum value: 1     Post Test Probability from Likelihood Ratios and Multiple Test Results   Source File: PostTestProbMulti.eq     Equation: Pre_Test_Odds = Pre_Test_Prob / (1 - Pre_Test_Prob) Result unit: ratio   Equation: Post_Test_Odds = Overall_Odds Result unit: ratio   Equation: Post_Test_Prob = Post_Test_Odds / (1 + Post_Test_Odds) Result unit: fraction   Variable: Pre_Test_Prob Unit: fraction   Variable: Test_1_LR_Pos Unit: ratio   Variable: Test_1_LR_Neg Unit: ratio   Variable: Test_2_LR_Pos Unit: ratio   Variable: Test_2_LR_Neg Unit: ratio   Variable: Test_3_LR_Pos Unit: ratio   Variable: Test_3_LR_Neg Unit: ratio     Post Test Probability from Pre Test Probability, Sensitivity and Specificity   Source File: PostTestProb.eq     Equation: Post_Odds_Pos = (Pre_Test_Prob * Sensitivity) / ((1 - Pre_Test_Prob) * (1-Specificity)) Result unit: ratio   Equation: Post_Test_Prob_Pos_Result = Post_Odds_Pos / (1 + Post_Odds_Pos) Result unit: ratio   Equation: Post_Odds_Neg = (Pre_Test_Prob * (1-Sensitivity)) / ((1-Pre_Test_Prob) * Specificity) Result unit: ratio   Equation: Post_Test_Prob_Neg_Result = Post_Odds_Neg / (1 + Post_Odds_Neg) Result unit: ratio   Variable: Pre_Test_Prob Unit: fraction Maximum value: 1   Variable: Sensitivity Unit: fraction Maximum value: 1   Variable: Specificity Unit: fraction Maximum value: 1     Pre Test Odds from Prevalence   Source File: PreTestOddsP.eq     Equation: Pre_Test_Odds = Prevalence / (1 - Prevalence) Result unit: ratio   Variable: Prevalence Unit: fraction Maximum value: 1     Pre Test Odds from Raw Data   Source File: PreTestOddsData.eq     Equation: Prevalence = (True_Pos + False_Neg) / (True_Pos + True_Neg + False_Pos + False_Neg) Result unit: fraction   Equation: Pre_Test_Odds = Prevalence / (1 - Prevalence) Result unit: ratio   Variable: True_Pos Unit: #   Variable: False_Pos Unit: #   Variable: True_Neg Unit: #   Variable: False_Neg Unit: #     Pregnancy Gestation by LMP and Ultrasound Biometry   Source File: GestationDate.eq     Variable: Crown_Rump_Length Unit: mm Maximum value: 100   Variable: Biparietal_Diameter Unit: mm   Variable: Head_Circumference Unit: mm Minimum value: 80 Maximum value: 330     Pressure Adjusted Heart Rate (For MODS calculation)   Source File: PressureAdjHR.eq     Equation: P_Adj_HR = HR * CVP / MAP Result unit:   Variable: HR Unit: #   Variable: CVP Unit: mmHg   Variable: MAP Unit: mmHg     Prevalence of a Finding or Disease from Test Data   Source File: PrevalenceTest.eq     Equation: Prevalence = (True_Pos + False_Neg) / (True_Pos + True_Neg + False_Pos + False_Neg) Result unit: fraction   Variable: True_Pos Unit: #   Variable: False_Pos Unit: #   Variable: True_Neg Unit: #   Variable: False_Neg Unit: #     Probability from Odds   Source File: ProbOdds.eq     Equation: Probability = Odds / (1 + Odds) Result unit: fraction   Variable: Odds Unit: ratio     Protein Bound Calcium   Source File: ProteinBoundCalcium.eq     Equation: PBCa = (Albumin * 8) + (Globulin *2) + 3 Result unit: %   Variable: Albumin Unit: gm/dL   Variable: Globulin Unit: gm/dL     Protein Catabolic Rate (normalized PCR)   Source File: ProteinCatabolicRateN.eq     Equation: nPCR_Anuric = 0.22 + (0.864 * ID_BUN_Rise / ID_Hours) Result unit: g/kg/day   Equation: nPCR_Total = nPCR_Anuric + ((Urine_Urea_Nitrogen * 150) / (ID_Hours * Weight)) Result unit: g/kg/day   Variable: Weight Unit: kg   Variable: ID_Hours Unit: hr   Variable: ID_BUN_Rise Unit: mg/dL_BUN   Variable: Urine_Urea_Nitrogen Unit: gm_BUN     Protein Catabolic Rate   Source File: ProteinCatabolicRate.eq     Equation: Kt_V = -ln((BUN_Post / BUN_Pre) - (0.008 * Hours)) + ((4 - (3.5 * BUN_Post / BUN_Pre)) * UF_Vol / Weight_Post) Result unit:   Equation: PCR = ( 0.0076 * Kt_V * (BUN_Pre + BUN_Post)) + 0.17 Result unit: gm/kg/day   Variable: BUN_Pre Unit: mg/dL   Variable: BUN_Post Unit: mg/dL   Variable: Hours Unit: hr   Variable: UF_Vol Unit: L   Variable: Weight_Post Unit: kg     Pulmonary Embolism Risk by Pisa Study (with chest x-ray)   Source File: PulmonaryEmbRiskPisaCXR.cc     Equation: Factor_Sum = Age_Range + Sex + Risk_Factors Result unit: #   Equation: Risk = 100 / (1 + eTo(3.26 - Factor_Sum)) Result unit: %   Radio Button Variable: Age_Range Discrete variable option: < 63 Variable value: 0 Discrete variable option: 63-72 Variable value: 0.59 Discrete variable option: >= 73 Variable value: 0.92   Radio Button Variable: Sex Discrete variable option: Female Variable value: 0 Discrete variable option: Male Variable value: 0.81     Pulmonary Embolism Risk by Pisa Study (without chest x-ray)   Source File: PulmonaryEmbRiskPisa.cc     Equation: Factor_Sum = Age_Range + Sex + Risk_Factors Result unit: #   Equation: Risk = 100 / (1 + eTo(3.43 - Factor_Sum)) Result unit: %   Radio Button Variable: Age_Range Discrete variable option: < 57 Variable value: 0 Discrete variable option: 57-67 Variable value: 0.80 Discrete variable option: 68-74 Variable value: 0.87 Discrete variable option: >= 75 Variable value: 1.14   Radio Button Variable: Sex Discrete variable option: Female Variable value: 0 Discrete variable option: Male Variable value: 0.60     Pulmonary Vascular Resistance   Source File: PulmVascResist.eq     Equation: PVR = 80 * ( Mean_Pulmonary_Artery_Pressure - Left_Atrial_Pressure) / Pulmonary_Flow Result unit: dynes-sec-cm-5   Variable: Mean_Pulmonary_Artery_Pressure Unit: mmHg   Variable: Left_Atrial_Pressure Unit: mmHg   Variable: Pulmonary_Flow Unit: L/min     Pulse Pressure Variation (percentage)   Source File: PulsePressureVar.eq     Equation: PPV = 100 * (P_Max - P_Min)/((P_Max + P_Min) / 2) Result unit: %   Variable: P_Max Unit: mmHg   Variable: P_Min Unit: mmHg       Q   QT Interval Correction (EKG)   Source File: QTIntervalCorrection.eq     Equation: RR_Interval = 60 / Heart_Rate Result unit: sec   Equation: QTI_Corrected = QT_Interval / sqr(RR_Interval) Result unit: sec   Variable: QT_Interval Unit: sec   Variable: Heart_Rate Unit: bpm     QUICKI Formula for Insulin Resistance   Source File: QUICKI.eq     Equation: QUICKI = 1 / (log(Fasting_Insulin) + log(Fasting_Glu)) Result unit:   Variable: Fasting_Insulin Unit: mIU/mL   Variable: Fasting_Glu Unit: mg/dL_Glu       R   Red Blood Cell Volume by Radionucleotide Dilution   Source File: RedBloodCellVol.eq     Equation: RBC_Vol = CPM_Isotope_Injected / Blood_CPM_per_mL Result unit: mL   Variable: CPM_Isotope_Injected Unit: #   Variable: Blood_CPM_per_mL Unit: #     Renal Artery Stenosis Prediction Rule   Source File: RenalArteryStenosis.cc     Equation: Risk = 100 / (1 + eTo(-1 * (-7.033 + 0.0521 * Age + 0.0294 * (75 - Age) * Smoker - 0.877 * Sex + 0.515 * Athero_Scl + 0.5647 * Recent_HTN - 0.904 * Obese + 1.4902 * Abd_Bruit + 0.4413 * Hyper_Chol + 2.51056 * Creat))) Result unit: %   Variable: Age Unit: yr   Radio Button Variable: Smoker Discrete variable option: Yes Variable value: 1 Discrete variable option: No Variable value: 0   Radio Button Variable: Sex Discrete variable option: Male Variable value: 1 Discrete variable option: Female Variable value: 0   Radio Button Variable: Athero_Scl Discrete variable option: Yes Variable value: 1 Discrete variable option: No Variable value: 0   Radio Button Variable: Recent_HTN Discrete variable option: Yes Variable value: 1 Discrete variable option: No Variable value: 0   Radio Button Variable: Obese Discrete variable option: Yes Variable value: 1 Discrete variable option: No Variable value: 0   Radio Button Variable: Abd_Bruit Discrete variable option: Yes Variable value: 1 Discrete variable option: No Variable value: 0   Radio Button Variable: Hyper_Chol Discrete variable option: Yes Variable value: 1 Discrete variable option: No Variable value: 0   Variable: Creat Unit: mg/dL     Renal Failure Index   Source File: RenalFailureIndex.eq     Equation: RFI = Urine_Na * Serum_Creat / Urine_Creat Result unit: index   Variable: Urine_Na Unit: mEq/L   Variable: Urine_Creat Unit: mg/dL   Variable: Serum_Creat Unit: mg/dL     Residual Renal Function in Hemodialysis Patients (Kru)   Source File: ResidualRenalFunction.eq     Equation: Mean_BUN = (U1 + U2) / 2 Result unit: mg/dL   Equation: RRF = ID_Urine_Vol * Urine_Urea_Conc / ID_Period / Mean_BUN Result unit: mL/min   Variable: ID_Urine_Vol Unit: mL   Variable: Urine_Urea_Conc Unit: mg/dL   Variable: ID_Period Unit: min   Variable: U1 Unit: mg/dL   Variable: U2 Unit: mg/dL     Residual Volume to Total Lung Capacity Ratio   Source File: ResidualVolTLCRatio.eq     Equation: Total_Lung_Cap = Insp_Reserve_Vol + Tidal_Vol + Exp_Reserve_Vol + Residual_Vol Result unit: L   Equation: RV_TLC_Ratio = 100 * Residual_Vol / Total_Lung_Cap Result unit: %   Variable: Exp_Reserve_Vol Unit: L   Variable: Residual_Vol Unit: L   Variable: Insp_Reserve_Vol Unit: L   Variable: Tidal_Vol Unit: L   Variable: Closing_Vol Unit: L     Respiratory Quotient   Source File: RespQuotient.eq     Equation: R = VCO2 / VO2 Result unit: ratio   Variable: VCO2~CO2Prod.eq~VCO2_param Unit: mL/min   Variable: VO2~O2Consumption.eq~VO2_param Unit: mL/min     Reticulocyte Production Index   Source File: ReticProdIndex.eq     Equation: RPI = (Hct / 45) * Retic / Maturation Result unit:   Variable: Hct Unit: %   Variable: Retic Unit: %     Rheumatoid Arthritis Clinical Disease Activity Index CDAI   Source File: RheumatoidArthritisCDAI.cc     Equation: CDAI = SJC + TJC + PGA + EGA Result unit: score   Variable: PGA Unit: # Maximum value: 10   Variable: EGA Unit: # Maximum value: 10     Rheumatoid Arthritis Disease Activity Score DAS-28   Source File: RheumatoidArthritisDAS28.cc     Equation: DAS_28 = ( 0.56 * sqr(TJC)) + (0.28 * sqr(SJC)) + ( 0.7 * ln(ESR)) + (0.014 * GH) Result unit: score   Variable: ESR Unit: mm/hr Minimum value: 1 Maximum value: 200   Variable: GH Unit: # Maximum value: 100     Rheumatoid Arthritis Simplified Disease Activity Index SDAI   Source File: RheumatoidArthritisSDAI.cc     Equation: SDAI = SJC + TJC +PGA + EGA + CRP Result unit: score   Variable: CRP Unit: mg/dL Minimum value: 0.1 Maximum value: 10   Variable: PGA Unit: # Maximum value: 10   Variable: EGA Unit: # Maximum value: 10     Right to Left Shunt Fraction Qs/Qt   Source File: Qs_Qt.eq     Equation: pH2O = 47 * eTo((Temp - 37) / 18.4) Result unit: mmHg   Equation: pATM = 760 * eTo(- Altitude / 7000) Result unit: mmHg   Equation: pAO2 = pATM - pH2O - paCO2 Result unit: mmHg   Equation: AaG = pAO2 - paO2 Result unit: mmHg   Equation: Qs_Qt = 100 * ( .0031 * AaG) / ((.0031 * AaG) + 5) Result unit: %   Variable: Temp Unit: degC Default value: 37   Variable: Altitude Unit: m   Variable: paCO2 Unit: mmHg Default value: 40   Variable: paO2 Unit: mmHg     Risk Increase / Number Needed to Harm Multicalc®   Source File: RiskIncrease.eq     Equation: Abs_Risk_Increase = Exp_Event_Rate - Control_Event_Rate Result unit: fraction   Equation: Rel_Risk_Increase = Abs_Risk_Increase / Control_Event_Rate Result unit: fraction   Equation: NNH = 1 / Abs_Risk_Increase Result unit: #   Variable: Control_Event_Rate Unit: fraction   Variable: Exp_Event_Rate Unit: fraction     Risk Reduction / Number Needed to Treat Multicalc®   Source File: RiskReduc_MC.eq     Equation: Abs_Risk_Reduct = Control_Event_Rate - Exp_Event_Rate Result unit: fraction   Equation: Rel_Risk_Reduct = Abs_Risk_Reduct / Control_Event_Rate Result unit: fraction   Equation: NNT = 1 / Abs_Risk_Reduct Result unit: #   Variable: Control_Event_Rate Unit: fraction   Variable: Exp_Event_Rate Unit: fraction       S   Sensitivity of a Test   Source File: Sensitivity.eq     Equation: Sens = 100 * True_positives / (True_positives + False_negatives) Result unit: %   Variable: True_positives Unit: #   Variable: False_negatives Unit: #     Serum Sodium Concentration Change Considering Infused and Excreted Cations   Source File: SerumSodiumConcChange.eq     Equation: TBW = Sex * Weight Result unit: L   Equation: Vol_Delta = Vol_Infusate - Vol_Urine Result unit: L   Equation: Na_Change = ((Vol_Infusate * (Na_Infusate + K_Infusate)) - (Vol_Urine * (Na_Urine + K_Urine)) - (Vol_Delta * Na_Serum)) / (TBW + Vol_Delta) Result unit: mEq/L   Radio Button Variable: Sex Discrete variable option: Male Variable value: 0.6 Discrete variable option: Female Variable value: 0.5   Variable: Weight Unit: kg   Variable: Vol_Infusate Unit: L   Variable: Vol_Urine Unit: L   Variable: Na_Infusate Unit: mEq/L   Variable: Na_Serum Unit: mEq/L   Variable: Na_Urine Unit: mEq/L   Variable: K_Infusate Unit: mEq/L   Variable: K_Urine Unit: mEq/L     Sodium Change in Hyperlipidemeia   Source File: SodiumLipids.eq     Equation: Na_Change = Plasma_Lipids * 0.002 Result unit: mEq/L   Variable: Plasma_Lipids Unit: mg/dL     Sodium Change in Hyperproteinemia   Source File: SodiumProtein.eq     Equation: Na_Change = (Serum_Protein - 8) * 0.25 Result unit: mEq/L   Variable: Serum_Protein Unit: gm/dL Minimum value: 8 Maximum value: 100     Sodium Correction in Hyperglycemia   Source File: SodiumHyperglycemia.eq     Equation: Na = Measured_Sodium + 0.016 * (Glucose - 100) Result unit: mEq/L   Variable: Measured_Sodium Unit: mEq/L   Variable: Glucose Unit: mg/dL     Sodium Deficit in Hyponatremia   Source File: SodiumDeficit.eq     Equation: Na_Deficit = Sex * Normal_Wgt * (Desired_Na - Serum_Na) Result unit: mEq   Radio Button Variable: Sex Discrete variable option: Male Variable value: 0.6 Discrete variable option: Female Variable value: 0.5   Variable: Normal_Wgt Unit: kg   Variable: Serum_Na Unit: mEq/L   Variable: Desired_Na Unit: mEq/L Default value: 140     Solitary Pulmonary Nodule Malignancy Risk   Source File: SolitaryPulmNod.cc     Equation: X = (0.0391 * Age) + (0.7917 * Smoker) + (1.3388 * Cancer) + (0.1274 * Nodule_Diameter) + (1.0407 * Spiculation) + (0.7838 * Upper_Lobe) - 6.8272 Result unit:   Equation: Malig_Probability = 100 * eTo(X) / ( 1 + eTo(X)) Result unit: %   Variable: Age Unit: yr   Radio Button Variable: Smoker Discrete variable option: Current or former Variable value: 1 Discrete variable option: Never smoker Variable value: 0   Radio Button Variable: Cancer Discrete variable option: Extrathoracic cancer more than 5 years prior Variable value: 1 Discrete variable option: None Variable value: 0   Variable: Nodule_Diameter Unit: mm   Radio Button Variable: Spiculation Discrete variable option: Yes Variable value: 1 Discrete variable option: No Variable value: 0   Radio Button Variable: Upper_Lobe Discrete variable option: Yes Variable value: 1 Discrete variable option: No Variable value: 0     Specificity of a Test   Source File: Specificity.eq     Equation: Spec = 100 * True_Negatives / (True_Negatives + False_Positives) Result unit: %   Variable: True_Negatives Unit: #   Variable: False_Positives Unit: #     Spinal Manipulation Success Prediction for Low Back Pain   Source File: SpinalManipSuccess.cc     Equation: Predictors = Duration + Hip_35_Degree_Rot + Lumbar_Hypomobility + (FABQ_Work < 19) + No_Distal_Symptoms Result unit: points   Radio Button Variable: Duration Discrete variable option: < 16 Days Variable value: 1 Discrete variable option: 16 or more days Variable value: 0   Radio Button Variable: Hip_35_Degree_Rot Discrete variable option: Yes Variable value: 1 Discrete variable option: No Variable value: 0   Radio Button Variable: Lumbar_Hypomobility Discrete variable option: Yes Variable value: 1 Discrete variable option: No Variable value: 0   Variable: FABQ_Work~FearAvoidWork.cc~FABQ_param Unit: points   Radio Button Variable: No_Distal_Symptoms Discrete variable option: Yes Variable value: 1 Discrete variable option: No Variable value: 0     Stool Osmolal Gap   Source File: StoolsOsmolality.eq     Equation: SOG = Stool_Osm - (2 * (Stool_Na + Stool_K)) Result unit: mOsm/kg   Variable: Stool_Osm Unit: mOsm/kg   Variable: Stool_Na Unit: mEq/L   Variable: Stool_K Unit: mEq/L     Stroke Risk in Diabetes Type 2 UKPDS 60   Source File: StrokeRiskDiabetes.cc     Equation: Chol_Ratio = Total_Chol / HDL_Chol Result unit:   Equation: Factors = 0.00186 * power(1.092, (Age - 55)) * power(0.7, Sex) * power(1.547, Cigarette_smoker) * power(8.554, Atrial_fibrillation) * power(1.122, ((Sys_BP - 135.5))/10) * power(1.138, (Chol_Ratio - 5.11)) Result unit:   Equation: Risk = 100 * (1 - eTo( Factors * power(1.145, Years_DM) * (1 - power(1.145, Risk_Interval)) / 0.145)) Result unit: %   Variable: Total_Chol   Variable: HDL_Chol   Variable: Age Unit: yr   Variable: Sys_BP Unit: mmHg   Radio Button Variable: Sex Discrete variable option: Female Variable value: 1 Discrete variable option: Male Variable value: 0   Radio Button Variable: Cigarette_smoker Discrete variable option: No Variable value: 0 Discrete variable option: Yes Variable value: 1   Radio Button Variable: Atrial_fibrillation Discrete variable option: No Variable value: 0 Discrete variable option: Yes Variable value: 1   Variable: Years_DM Unit: yr   Variable: Risk_Interval Unit: yr     Stroke Risk in Patients 55-84 Years Old (Framingham data)   Source File: StrokeRiskFramingham.cc     Equation: Risk_Factor_Diff = (Age * Age_Factor) + (Sys_BP * BP_Factor) + (Sys_BP * (HTN_Med > 0) * Interaction_Factor) + HTN_Med + DM + Cig + CVD + AFib + LVH - Avg_Risk Result unit:   Equation: Risk_During_Period = 100 * (1 - power(Risk_Period_Factor, eTo(Risk_Factor_Diff))) Result unit: %   Variable: Age Unit: yr Minimum value: 55 Maximum value: 84   Variable: Sys_BP Unit: mmHg     Survey Sample Size with Population Correction   Source File: SurveySampleSizeFinite.eq     Equation: Sample_Size = (power(Conf_Level, 2) * 0.25) / power((Conf_Interval / 100), 2) Result unit:   Equation: Corrected_Sample_Size = Sample_Size / (1 + ((Sample_Size - 1) / Population)) Result unit:   Radio Button Variable: Conf_Level Discrete variable option: 90% Variable value: 1.645 Discrete variable option: 95% Variable value: 1.96 Discrete variable option: 99% Variable value: 2.576   Variable: Conf_Interval Unit: %   Variable: Population Unit: #     Survey Sample Size   Source File: SurveySampleSize.eq     Equation: Sample_Size = (power(Conf_Level, 2) * 0.25) / power((Conf_Interval / 100), 2) Result unit:   Radio Button Variable: Conf_Level Discrete variable option: 90% Variable value: 1.645 Discrete variable option: 95% Variable value: 1.96 Discrete variable option: 99% Variable value: 2.576   Variable: Conf_Interval Unit: %     Systemic Vascular Resistance   Source File: SystemicVascRes.eq     Equation: SVR = 80 * ( Mean_Aortic_Pressure - Right_Atrial_Pressure) / Systemic_Flow Result unit: dynes-sec-cm-5   Variable: Mean_Aortic_Pressure Unit: mmHg   Variable: Right_Atrial_Pressure Unit: mmHg   Variable: Systemic_Flow Unit: L/min     Systolic Murmur Significance Probability   Source File: SystolicMurmur.cc     Equation: Probability = 100 * ( 1 / (1 + eTo(3.65 - (0.074 * Age) - (1.77 * Gender) - (1.61 * Grade)))) Result unit: %   Variable: Age Unit: yr   Radio Button Variable: Gender Discrete variable option: Male Variable value: 1 Discrete variable option: Female Variable value: 0   Radio Button Variable: Grade Discrete variable option: >= 3/6 Variable value: 1 Discrete variable option: < 3/6 Variable value: 0     Systolic Pressure Variation (percentage)   Source File: SystolicPressureVar.eq     Equation: SPV = 100 * (Sys_Max - Sys_Min)/((Sys_Max + Sys_Min) / 2) Result unit: %   Variable: Sys_Max Unit: mmHg   Variable: Sys_Min Unit: mmHg       T   Time Averaged Concentration of Urea in Hemodialysis   Source File: TimeAveragedConcUrea.eq     Equation: TAC_Urea = ( (HD_Time * (Pre_HD_BUN + Post_HD_BUN)) + (ID_Time * (Post_HD_BUN + Next_Pre_HD_BUN)) ) / (2 * (ID_Time + HD_Time)) Result unit:   Variable: HD_Time Unit: hr Default value: 4   Variable: ID_Time Unit: hr Default value: 44   Variable: Pre_HD_BUN   Variable: Post_HD_BUN   Variable: Next_Pre_HD_BUN     TIPS Risk predictor / Survival predictor (Transjugular Intrahepatic Portosystemic Shunt)   Source File: TipsRisk.eq     Equation: Risk_Score = (0.957 * ln(Creat)) + (0.378 * ln(Bili)) + (1.12 * ln(INR)) + (0.643 * Cause) Result unit: score   Equation: Survival = power(Days, eTo(Risk_Score - 1.127)) Result unit: ratio   Variable: Creat Unit: mg/dL   Variable: Bili Unit: mg/dL   Variable: INR Unit: ratio   Radio Button Variable: Cause Discrete variable option: Alcoholic or Cholestatic Variable value: 0 Discrete variable option: Viral or other liver disese Variable value: 1   Radio Button Variable: Days Discrete variable option: 1 Variable value: 0.990 Discrete variable option: 7 Variable value: 0.966 Discrete variable option: 30 Variable value: 0.860 Discrete variable option: 90 Variable value: 0.707 Discrete variable option: 183 Variable value: 0.621 Discrete variable option: 365 Variable value: 0.551 Discrete variable option: 730 Variable value: 0.428     Total Body Water (BIA formula)   Source File: TBW_BEI.eq     Equation: TBW = (-0.07493713 * Age) - (1.01767992 * Sex) + (0.12703384 * Height) - (0.04012056 * Weight) + (0.57894981 * Diabetes) - (0.00067247 * Weight * Weight) - (0.0348146 * Age * Sex) + (0.11262857 * Sex * Weight) + (0.00104135 * Age * Weight) + (0.00186104 * Height * Weight) Result unit:   Variable: Age Unit: yr   Radio Button Variable: Sex Discrete variable option: Male Variable value: 1 Discrete variable option: Female Variable value: 0   Radio Button Variable: Diabetes Discrete variable option: No Variable value: 0 Discrete variable option: Yes Variable value: 1   Variable: Height Unit: cm   Variable: Weight Unit: kg     Total Body Water Estimation Based on Weight Alone   Source File: TBW_58.eq     Equation: TBW = Weight * 0.58 Result unit: L   Variable: Weight Unit: kg     Total Body Water in Men (Humes-Weyer formula)   Source File: TBW_M_Humes.eq     Equation: TBW=(0.194786 * Height) + (0.296785 * Weight) - 14.012934 Result unit: L   Variable: Height Unit: cm   Variable: Weight Unit: kg     Total Body Water in Men (Johansson formula)   Source File: TBW_M_Johansson.eq     Equation: TBW = (-0.078 * Age) + (0.312 * Weight) + (0.192 * Height) - 10.759 Result unit: L   Variable: Age Unit: yr   Variable: Height Unit: cm   Variable: Weight Unit: kg     Total Body Water in Men (Lee formula)   Source File: TBW_M_Lee.eq     Equation: TBW = (0.243057 * Height) + (0.366248 * Weight) - 28.3497 Result unit: L   Variable: Height Unit: cm   Variable: Weight Unit: kg     Total Body Water in Men (Watson formula)   Source File: TBW_M_Watson.eq     Equation: TBW = 2.447 - (0.09156 * Age) + (0.1074 * Height) + (0.3362 * Weight) Result unit: L   Variable: Age Unit: yr   Variable: Height Unit: cm   Variable: Weight Unit: kg     Total Body Water in Women (Humes-Weyer formula)   Source File: TBW_W_Humes.eq     Equation: TBW=(0.344546 * Height) + (0.183809 * Weight) - 35.270121 Result unit: L   Variable: Height Unit: cm   Variable: Weight Unit: kg     Total Body Water in Women (Johansson formula)   Source File: TBW_W_Johansson.eq     Equation: TBW = (-0.0004 * Age) + (0.214 * Weight) + (0.294 * Height) - 29.994 Result unit: L   Variable: Age Unit: yr   Variable: Height Unit: cm   Variable: Weight Unit: kg     Total Body Water in Women (Lee formula)   Source File: TBW_W_Lee.eq     Equation: TBW = (0.262513 * Height) + (0.232948 * Weight) - 26.6224 Result unit: L   Variable: Height Unit: cm   Variable: Weight Unit: kg     Total Body Water in Women (Watson formula)   Source File: TBW_W_Watson.eq     Equation: TBW = (0.1069 * Height) + (0.2466 * Weight) - 2.097 Result unit: L   Variable: Height Unit: cm   Variable: Weight Unit: kg     Total Daily Energy Requirement Estimate   Source File: TotalDailyEnergyReq.eq     Equation: TDER_Females = (655.1 + (9.563 * Weight) + (1.85 * Height) - (4.676 * Age)) * Activity * Injury Result unit: kcal/day   Equation: TDER_Males = (66.5 + (13.75 * Weight) + (5.003 * Height) - (6.775 * Age)) * Activity * Injury Result unit: kcal/day   Variable: Weight Unit: kg   Variable: Height Unit: cm   Variable: Age Unit: yr   Radio Button Variable: Activity Discrete variable option: Confined to bed Variable value: 1.2 Discrete variable option: Out of bed Variable value: 1.3   Radio Button Variable: Injury Discrete variable option: No Injury or surgery Variable value: 1.0 Discrete variable option: Minor surgery Variable value: 1.05 Discrete variable option: Major surgery Variable value: 1.15 Discrete variable option: Mild infection Variable value: 1.1 Discrete variable option: Moderate infection Variable value: 1.3 Discrete variable option: Severe infection Variable value: 1.6 Discrete variable option: Skeletal trauma Variable value: 1.275 Discrete variable option: Head injury with steroid therapy Variable value: 1.6 Discrete variable option: Blunt trauma Variable value: 1.25 Discrete variable option: Burn: 20% Variable value: 1.25 Discrete variable option: Burn: 20-40% Variable value: 1.85 Discrete variable option: Burn >40% Variable value: 1.95     Total Lung Capacity   Source File: TotalLungCap.eq     Equation: Total_Lung_Cap = Insp_Reserve_Vol + Tidal_Vol + Exp_Reserve_Vol + Residual_Vol Result unit: L   Variable: Insp_Reserve_Vol Unit: L   Variable: Tidal_Vol Unit: L   Variable: Exp_Reserve_Vol Unit: L   Variable: Residual_Vol Unit: L     Transferrin Receptor-Ferritin Index for Diagnosis of Iron deficiency Anemia   Source File: TransferrinReceptorIndex.eq     Equation: TR_Ferritin_Index = Transferrin_Receptor / log(Ferritin) Result unit: index   Variable: Transferrin_Receptor Unit: mg/L   Variable: Ferritin Unit: mcg/L     Transferrin Saturation   Source File: Transferrin.eq     Equation: TS = (Fe / TIBC) * 100 Result unit: %   Variable: Fe Unit: mcg/dL   Variable: TIBC Unit: mcg/dL     Transtubular Potassium Gradient at CCD   Source File: TranstubularKGrad.eq     Equation: TTKG = (Urine_K / Serum_K) / (Urine_Osm / Serum_Osm) Result unit: #   Variable: Urine_K Unit: mEq/L   Variable: Serum_K Unit: mEq/L   Variable: Urine_Osm Unit: mOsm/kg   Variable: Serum_Osm Unit: mOsm/kg     True Negative Ratio from Specificity and Prevalence   Source File: TrueNegativeRatioSP.eq     Equation: True_Neg = Specificity * (1 - Prevalence) Result unit: ratio   Variable: Prevalence Unit: fraction Maximum value: 1   Variable: Specificity Unit: fraction Maximum value: 1     True Positive Ratio from Sensitivity and Prevalence   Source File: TruePositiveRatioSP.eq     Equation: True_Pos = Sensitivity * Prevalence Result unit: ratio   Variable: Prevalence Unit: fraction Maximum value: 1   Variable: Sensitivity Unit: fraction Maximum value: 1       U   Urea Reduction Percentage in Hemodialysis (PRU)   Source File: UreaReducPercent.eq     Equation: PRU = 100 * (Urea_Pre_HD - Urea_Post_HD) / Urea_Pre_HD Result unit: %   Variable: Urea_Pre_HD Unit: mg/dL   Variable: Urea_Post_HD Unit: mg/dL     Urea Reduction Ratio in Hemodialysis (URR)   Source File: UreaReductRatio.eq     Equation: URR = 100 * ( 1 - (Urea_Post_HD / Urea_Pre_HD)) Result unit: %   Variable: Urea_Post_HD Unit: mg/dL   Variable: Urea_Pre_HD Unit: mg/dL     Urinary Protein Excretion Estimation   Source File: UrinaryProteinExcretion.eq     Equation: Protein_Excreted = Spot_Urine_Protein / Spot_Urine_Creat Result unit: gm/day   Variable: Spot_Urine_Protein Unit: mg/dL   Variable: Spot_Urine_Creat Unit: mg/dL       V   Vancomycin Dosing to Produce Desired Peak and Trough Levels   Source File: VancomycinDosingForLevels.cp     Equation: IBW = Math.abs(Height > 60) * (2.3 * (Height - 60)) + IBW_Sex Result unit: kg   Equation: CrCl = ((140 - Age) * (Weight_CrCl / (Serum_Creat * 72))) * CrCl_Sex Result unit: mL/min   Equation: Ke = (0.00083 * CrCl) + 0.0044 Result unit: hr-1   Equation: Half_Life = 0.693 / Ke Result unit: hr   Equation: VD = DW * Distribution_Factor Result unit: L   Equation: Dosing_Interval = ((1 / Ke) * ln(Desired_Peak / Desired_Trough)) + Infusion_Time Result unit: hr   Equation: Loading_Dose = (VD * Infusion_Time * Ke * Desired_Peak) / (1 - eTo(-Ke * Infusion_Time)) Result unit: mg   Equation: Maintenance_Dose = (VD * Infusion_Time * Ke * Desired_Peak * (1 - eTo(-Ke * Dosing_Interval))) / (1 - eTo(-Ke * Infusion_Time)) Result unit: mg   Variable: Age Unit: yr   Variable: Height Unit: in   Variable: Weight Unit: kg   Variable: Serum_Creat Unit: mg/dL   Radio Button Variable: Distribution_Factor Discrete variable option: 0.5 L/kg Variable value: 0.5 Discrete variable option: 0.6 L/kg Variable value: 0.6 Discrete variable option: *0.7 L/kg Variable value: 0.7 Discrete variable option: 0.75 L/kg Variable value: 0.75 Discrete variable option: 0.8 L/kg Variable value: 0.8 Discrete variable option: 0.9 L/kg Variable value: 0.9   Variable: Infusion_Time Unit: hr Default value: 1   Variable: Desired_Peak Unit: mg/L   Variable: Desired_Trough Unit: mg/L     Vancomycin Level Prediction from Maintenance Dosing   Source File: VancomycinLevelPrediction.cp     Equation: IBW = Math.abs(Height > 60) * (2.3 * (Height - 60)) + IBW_Sex Result unit: kg   Equation: CrCl = ((140 - Age) * (Weight_CrCl / (Serum_Creat * 72))) * CrCl_Sex Result unit: mL/min   Equation: Ke = (0.00083 * CrCl) + 0.0044 Result unit: hr-1   Equation: Half_Life = 0.693 / Ke Result unit: hr   Equation: VD = DW * Distribution_Factor Result unit: L   Equation: Predicted_Peak = (Dose * (1 - eTo(-Ke * Infusion_Time))) / (Ke * VD * Infusion_Time * (1 - eTo(-Ke * Dose_Interval))) Result unit: mg/L   Equation: Predicted_Trough = Predicted_Peak * eTo(-Ke * (Dose_Interval - Infusion_Time)) Result unit: mg/L   Variable: Age Unit: yr   Variable: Height Unit: in   Variable: Weight Unit: kg   Variable: Serum_Creat Unit: mg/dL   Radio Button Variable: Distribution_Factor Discrete variable option: 0.5 L/kg Variable value: 0.5 Discrete variable option: 0.6 L/kg Variable value: 0.6 Discrete variable option: *0.7 L/kg Variable value: 0.7 Discrete variable option: 0.75 L/kg Variable value: 0.75 Discrete variable option: 0.8 L/kg Variable value: 0.8 Discrete variable option: 0.9 L/kg Variable value: 0.9   Variable: Dose Unit: mg   Variable: Dose_Interval Unit: hr   Variable: Infusion_Time Unit: hr Default value: 1     Vancomycin Steady State Dosage Adjustment   Source File: VancomycinSteadyState.cp     Equation: Ke = (ln(Measured_Peak) - ln(Measured_Trough))/(Trough_Hours_After_Dose - Peak_Hours_After_Dose) Result unit: hr-1   Equation: Half_Life = 0.693 / Ke Result unit: hr   Equation: VD = Current_Dose * (1 - eTo(-Ke * Infusion_Time))/ (Ke * Infusion_Time * (Measured_Peak - (Measured_Trough * eTo(-Ke * Infusion_Time)))) Result unit: L   Equation: New_Dosing_Interval = ((1 / Ke) * ln(Desired_Peak / Desired_Trough)) + Infusion_Time Result unit: hr   Equation: New_Dose = VD * Infusion_Time * Ke * Desired_Peak * (1 - eTo(-Ke * New_Dosing_Interval))/ (1 - eTo(-Ke * Infusion_Time)) Result unit: mg   Variable: Current_Dose Unit: mg   Variable: Infusion_Time Unit: hr Default value: 1   Variable: Measured_Peak Unit: mg/L   Variable: Peak_Hours_After_Dose Unit: hr   Variable: Measured_Trough Unit: mg/L   Variable: Trough_Hours_After_Dose Unit: hr   Variable: Desired_Peak Unit: mg/L   Variable: Desired_Trough Unit: mg/L     Ventilation Index   Source File: VentIndex.eq     Equation: Vent_Index = (RR * (PIP - PEEP) * CO2) / 1000 Result unit: index   Variable: RR Unit: breaths/min   Variable: PIP Unit: torr   Variable: PEEP Unit: torr   Variable: CO2 Unit: torr     Very Low Density Lipoprotein (VLDL)   Source File: VeryLowDensityLipoprotein.eq     Equation: VLDL = Triglycerides / 5 Result unit: mg/dL   Variable: Triglycerides Unit: mg/dL     Vital Capacity   Source File: VitalCapacity.eq     Equation: Vital_Cap = Insp_Reserve_Vol + Tidal_Vol + Exp_Reserve_Vol Result unit: L   Variable: Insp_Reserve_Vol Unit: L   Variable: Tidal_Vol Unit: L   Variable: Exp_Reserve_Vol Unit: L     Volume of Distribution of Urea   Source File: VolumeDistUrea.eq     Equation: VDU_Females = (0.1069 * Height) + (0.2466 * Weight) - 2.097 Result unit: L   Equation: VDU_Males = 2.447 - (0.09516 * Age) + (0.1074 * Height) + (0.3362 * Weight) Result unit: L   Variable: Age Unit: yr   Variable: Height Unit: cm   Variable: Weight Unit: kg       W   Warfarin Weekly Dose Estimate in Non-rheumatic A-fib   Source File: WarfarinWeeklyDoseEstimate.cc     Equation: Index_INR = INR_Day_5 Result unit:   Variable: INR_Day_5 Minimum value: 1 Maximum value: 4.4     Water Deficit in Hypernatremia   Source File: WaterDeficit.eq     Equation: WDef = (Sex * Normal_Wgt) * (Serum_Na - Desired_Na) / Desired_Na Result unit: L   Radio Button Variable: Sex Discrete variable option: Male Variable value: 0.6 Discrete variable option: Female Variable value: 0.5   Variable: Desired_Na Unit: mEq/L Default value: 140   Variable: Normal_Wgt Unit: kg   Variable: Serum_Na Unit: mEq/L     Weight Based Dosage Calculator   Source File: WeightBasedDose.eq     Equation: Dose = Weight * Dosage Result unit: mg   Equation: Liquid_Dose = Dose * Per_Volume / Med_Amount Result unit: mL   Variable: Dosage Unit: mg/kg   Variable: Weight Unit: kg   Variable: Med_Amount Unit: mg   Variable: Per_Volume Unit: mL     Winter's Formula for Expected PCO2   Source File: WinterFormula.eq     Equation: PCO2 = HCO3 * 1.5 + 8 Result unit: mmHg   Variable: HCO3 Unit: mEq/L       Z   Z Score to Percentile Estimation   Source File: ZScoreToPercentile.eq     Equation: Percentile = 100 / (1 + eTo(-1.7 * Z_Score)) Result unit:   Variable: Z_Score Unit: score Minimum value: -5 Maximum value: 5     Legal Notices and Disclaimer   All information contained in and produced by the MedCalc 3000 system is provided for educational purposes only. This information should not be used for the diagnosis or treatment of any health problem or disease. THIS INFORMATION IS NOT INTENDED TO REPLACE CLINICAL JUDGMENT OR GUIDE INDIVIDUAL PATIENT CARE IN ANY MANNER. Click here for full notice and disclaimer.   MedCalc 3000 is Copyright © 1998-2009 Foundation Internet Services, LLC    [Build 239610 v9.1]