TABLE 1.

Model building, parameters, and bootstrap runs for CQ and DECQ disposition

ParameteraValue from:
Base modelFinal covariate modelBootstrap replicates (n = 1,000) (median [95% empirical CIe])
OFV13,49713,46213,442 [12,915-13,840]
Pharmacokinetic parametersb
ka (h−1)1.4 [17]1.4 [18]1.4 [1.0-2.0]
CLCQ/F (liters/h)34.1 [7]29.3 [6]29.4 [25.9-32.7]
Pregnancy on CLCQ/F (liters/h)8.7 [23]8.7 [4.7-13.2]
VC CQ/F (liters)4,160 [7]4,220 [6]4,220 [3,727-4,713]
Hemoglobin on VC CQ/F (liters/Hb unit)221 [32]221 [77-347]
QCQ/F (liters/h)20 [14]20 [13]20.1 [16.1-26.2]
VP CQ/F (liters)5,200 [10]5,190 [10]5,240 [4,380-6,460]
CLDECQ/F (liters/h)9.2 [9]7.0 [7]7.0 [6.1-8.0]
Pregnancy on CLDECQ/F (liters/h)4.0 [16]4.0 [2.6-5.5]
VC DECQ/F (liters)39.9 [10]40.0 [10]40.2 [33.0-47.7]
QDECQ/F (liters/h)3.6 [11]3.6 [10]3.6 [3.03-4.4]
VP DECQ/F (liters)812 [17]840 [17]838 [610-1,130]
Random parameters (BSV and BOV)c
BSV CLCQ33.5 [24]28.5 [24]27.8 [21.1-34.4]
BSV VC CQ44.7 [20]40.1 [22]39.2 [30.6-48.3]
BSV CL DECQ48.6 [19]38.7 [20]38.1 [30.5-45.6]
BSV VC DECQ86.7 [25]87.9 [26]86.3 [64.4-108.6]
BOV FCQ62.4 [22]61.9 [22]61.8 [49.4-77.1]
Correlations between BSV pairs
R (CLC CQ, VC CQ)0.69 [24]0.63 [27]0.64 [0.44-0.79]
R (CLC CQ, CLC DECQ)0.86 [24]0.81 [26]0.82 [0.61-0.93]
R (CLC DECQ, VC CQ)0.86 [20]0.88 [20]0.90 [0.80-0.98]
RUVd
Proportional error in CQ40.6 [8]40.6 [8]40.5 [37.4-43.5]
Proportional error in DECQ39.7 [7]39.7 [7]39.6 [37.1-42.2]
  • a ka, absorption rate constant; VC CQ/F, central compartment volume of distribution for CQ; VP CQ/F, peripheral compartment volume of distribution for CQ; QCQ/F, intercompartment clearance for CQ; CLCQ/F, clearance of CQ; CLM/F, metabolic clearance for CQ to DECQ; VC DECQ/F, central volume of distribution for DECQ; VP DECQ/F, peripheral volume of distribution for DECQ; QDECQ/F, intercompartment clearance for DECQ; CLDECQ/F, clearance of DECQ.

  • b Values for the base and covariate models are estimates, with relative standard errors (RSE; %) in brackets.

  • c Values for the base and covariate models are coefficients of variation (CV; %), with RSE (%) in brackets.

  • d Values for the base and covariate models are CV (%), with RSE (%) in brackets.

  • e CI, confidence interval.