Different models for different age groups? Infinite objective functions

2 messages 2 people Latest: Jul 18, 2001
From: "James Bailey" <James_Bailey@Emory.org> Subject: Different models for different age groups? Infinite objective functions Date: Wed, 18 Jul 2001 11:04:41 -0500 To all: Two questions. #1 I am analyzing data from a study of a vasoactive intravenous drug in pediatric patients. The majority of patients are neonates or infants. Two previous, limited studies of this drug in pediatric patients used two or three compartment models. In these earlier studies loading doses were given, very quickly in the study that found a three compartment model to be optimal and less quickly in the study using a two compartment model. In the study I am analyzing, a loading dose was given very slowly, followed by a constant rate infusion. For this data, I find that the optimal model is one compartment. But when I analyze subsets (neonates, infants, or chidren) I find that a two compartment model works best for children and the one compartment model is optimal for neonates and infants. I am not satisfied using different models for somewhat arbitrarily defined age groups. Does anyone know of a method to develop a unified model? I have tried using age as a covariate, with the following CONTROL file (the model parameters are volumes and clearances) TVV1=WT*THETA(1) V1=TVV1*EXP(ETA(1)) TVV2 = WT*THETA(2)*EXP(THETA(5)*(AGE-8)) V2=TVV2*EXP(ETA(2)) TVCL=WT*THETA(3) CL=TVCL*EXP(ETA(3)) TVQ=WT*THETA(4) Q=TVQ*EXP(ETA(4)) (8 is the median age, in months, in the study). I have done something similar for distribution clearance, Q. Any suggestions? A second question relates to an error message I get frequently when using conditional estimation. The error message is "Minimization terminated due to proximity of last iteration estimate to a value at which the objective function is infinite". I know the NONMEM Users Manual says estimates from a minimization which is terminated due to rounding errors may be useful, depending on the number of significant digits, etc. Is there any useful information fom a minimization which is terminated for the above reason? Any help will be appreciated. Jim Bailey
From: "Gobburu, Jogarao V" <GOBBURUJ@cder.fda.gov> Subject: RE:Different models for different age groups? Infinite objective functions Date: Wed, 18 Jul 2001 12:42:05 -0400 Dear Jim, 1. To a large extent, the approach depends on what you want to do with the so developed model. You might want to comine data from adults and pediatrics and then analyze. 2. You might also want to consider the use of allometric models for body weight - CL(and Q) relationship. Further, there is evidence in literature that age is an important parameter to describe the organ maturation process. In general, liver and kidney reach comparable capacity to adults (after body size adjustment) at about 2 years. Hence you might want to use an Emax or a constant rate infusion type model (see below for a ref) to describe the maturation process. Anderson BJ, Woollard GA, Holford NH. A model for size and age changes in the pharmacokinetics of paracetamol in neonates, infants and children. Br J Clin Pharmacol. 2000 Aug;50(2):125-34. Joga Gobburu, Pharmacometrics, CDER, FDA