Gentamicin population pharmacokinetic models for low birth weight infants using a new nonparametric method

Warren F. Dodge, Roger W. Jelliffe, C. Joan Richardson, Renee A. McCleery, James A. Hokanson, Wayne R Snodgrass

Research output: Contribution to journalArticle

45 Scopus citations

Abstract

Availability of personal computer programs for control of drug regimens has stimulated interest in modeling population pharmacokinetics. In this study, we found parameter values for gentamicin in two infant populations with low birth weights. The models were developed by use of a parametric (i.e., standard two‐stage algorithm) and with a new nonparametric expected maximum algorithm. Data for the two populations (i.e., infants ≤31 weeks' and >31 but ≤34 weeks' gestational age) were obtained from infants admitted to the University of Texas Medical Branch intensive care nursery between August 1, 1988, and July 31, 1989. The new nonparametric method was demonstrated to be not only the equal of the standard two‐stage method for population modeling but better, especially in use of sparse data sets (e.g., single serum levels). It also obviates the need for selecting proper starting conditions for the least‐squares fitting procedure used in the standard two‐stage method. Clinical Pharmacology and Therapeutics (1991) 50, 25–31; doi:

Original languageEnglish (US)
Pages (from-to)25-31
Number of pages7
JournalClinical Pharmacology & Therapeutics
Volume50
Issue number1
DOIs
StatePublished - Jul 1991

ASJC Scopus subject areas

  • Pharmacology
  • Pharmacology (medical)

Fingerprint Dive into the research topics of 'Gentamicin population pharmacokinetic models for low birth weight infants using a new nonparametric method'. Together they form a unique fingerprint.

  • Cite this