Literature DB >> 33903114

External Evaluation of Two Pediatric Population Pharmacokinetics Models of Oral Trimethoprim and Sulfamethoxazole.

Yi Shuan S Wu1, Michael Cohen-Wolkowiez2,3, Christoph P Hornik2,3, Jacqueline G Gerhart1, Julie Autmizguine4,5, Marjan Cobbaert2, Daniel Gonzalez1.   

Abstract

The antibiotic combination trimethoprim (TMP)-sulfamethoxazole (SMX) has a broad spectrum of activity and is used for the treatment of numerous infections, but pediatric pharmacokinetic (PK) data are limited. We previously published population PK (popPK) models of oral TMP-SMX in pediatric patients based on sparse opportunistically collected data (POPS study) (J. Autmizguine, C. Melloni, C. P. Hornik, S. Dallefeld, et al., Antimicrob Agents Chemother 62:e01813-17, 2017, https://doi.org/10.1128/AAC.01813-17). We performed a separate PK study of oral TMP-SMX in infants and children with more-traditional PK sample collection and independently developed new popPK models of TMP-SMX using this external data set. The POPS data set and the external data set were each used to evaluate both popPK models. The external TMP model had a model and error structure identical to those of the POPS TMP model, with typical values for PK parameters within 20%. The external SMX model did not identify the covariates in the POPS SMX model as significant. The external popPK models predicted higher exposures to TMP (median overprediction of 0.13 mg/liter for the POPS data set and 0.061 mg/liter for the external data set) and SMX (median overprediction of 1.7 mg/liter and 0.90 mg/liter) than the POPS TMP (median underprediction of 0.016 mg/liter and 0.39 mg/liter) and SMX (median underprediction of 1.2 mg/liter and 14 mg/liter) models. Nonetheless, both models supported TMP-SMX dose increases in infants and young children for resistant pathogens with a MIC of 1 mg/liter, although the required dose increase based on the external model was lower. (The POPS and external studies have been registered at ClinicalTrials.gov under registration no. NCT01431326 and NCT02475876, respectively.).

Entities:  

Keywords:  and sulfamethoxazole; pediatric; population pharmacokinetics; sulfamethoxazole; trimethoprim

Mesh:

Substances:

Year:  2021        PMID: 33903114      PMCID: PMC8407045          DOI: 10.1128/AAC.02149-20

Source DB:  PubMed          Journal:  Antimicrob Agents Chemother        ISSN: 0066-4804            Impact factor:   5.938


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1.  A size standard for pharmacokinetics.

Authors:  N H Holford
Journal:  Clin Pharmacokinet       Date:  1996-05       Impact factor: 6.447

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Authors:  P T Männistö; R Mäntylä; J Mattila; S Nykänen; U Lamminsivu
Journal:  J Antimicrob Chemother       Date:  1982-06       Impact factor: 5.790

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5.  Adverse events associated with trimethoprim-sulfamethoxazole and atovaquone during the treatment of AIDS-related Pneumocystis carinii pneumonia.

Authors:  W T Hughes; S W LaFon; J D Scott; H Masur
Journal:  J Infect Dis       Date:  1995-05       Impact factor: 5.226

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Authors:  N Alsaad; J A Dijkstra; O W Akkerman; W C M de Lange; D van Soolingen; J G W Kosterink; T S van der Werf; J W C Alffenaar
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Authors:  K Hoppu
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9.  Reference ranges for serum creatinine in infants, children and adolescents.

Authors:  D J Savory
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Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

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