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Pragmatic estimates of the proportion of pediatric inpatients exposed to specific medications in the USA

Purpose To provide pragmatic national estimates of the proportion of hospitalized pediatric patients exposed to specific drugs in the USA. Methods We used Premier Perspective Database and the Pediatric Health Information System data including specific drug exposures of 1.15 million inpatients <18...

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Autores principales: Feudtner, Chris, Dai, Dingwei, Faerber, Jennifer, Metjian, Talene A, Luan, Xianqun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3810715/
https://www.ncbi.nlm.nih.gov/pubmed/23704075
http://dx.doi.org/10.1002/pds.3456
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author Feudtner, Chris
Dai, Dingwei
Faerber, Jennifer
Metjian, Talene A
Luan, Xianqun
author_facet Feudtner, Chris
Dai, Dingwei
Faerber, Jennifer
Metjian, Talene A
Luan, Xianqun
author_sort Feudtner, Chris
collection PubMed
description Purpose To provide pragmatic national estimates of the proportion of hospitalized pediatric patients exposed to specific drugs in the USA. Methods We used Premier Perspective Database and the Pediatric Health Information System data including specific drug exposures of 1.15 million inpatients <18 years old in 411 general and 52 children’s hospitals throughout the USA in 2006, extrapolating this information into the probability-based Kids’ Inpatient Database, which has demographic and clinical characteristics but no drug exposure data. We used a multivariable stratified resampling (MSR) technique to estimate the proportion of drug exposure for the 700 most commonly used drugs and performed additional stability and sensitivity analyses for 19 drugs. Results The estimated proportion of pediatric inpatients exposed to specific drugs in 2006 ranged from high levels such as that of acetaminophen (17.36; 95%CI: 17.32, 17.41) to rare exposures such as bosentan (0.0018; 95%CI: 0.0013, 0.0023). Additional analyses for 19 drugs revealed that the MSR estimates were close to estimates generated by multivariable multiple imputation, with a maximum absolute difference of 0.03 for acetaminophen (17.36 vs. 17.33) and famotidine (1.90 vs. 1.93), and that even with 50% of the hospitals removed at random, the proportion estimates did not vary by more than 2.5-fold at the upper 97.5 percentile. Conclusions These pragmatic national estimates of the proportion of pediatric inpatient drug exposures, generated using an MSR technique, provide a context for interpretation of drug-related adverse event reports and prioritization of pediatric pharmacology research. © 2013 The Authors. Pharmacoepidemiology and Drug Safety published by John Wiley & Sons, Ltd.
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spelling pubmed-38107152013-11-06 Pragmatic estimates of the proportion of pediatric inpatients exposed to specific medications in the USA Feudtner, Chris Dai, Dingwei Faerber, Jennifer Metjian, Talene A Luan, Xianqun Pharmacoepidemiol Drug Saf Original Reports Purpose To provide pragmatic national estimates of the proportion of hospitalized pediatric patients exposed to specific drugs in the USA. Methods We used Premier Perspective Database and the Pediatric Health Information System data including specific drug exposures of 1.15 million inpatients <18 years old in 411 general and 52 children’s hospitals throughout the USA in 2006, extrapolating this information into the probability-based Kids’ Inpatient Database, which has demographic and clinical characteristics but no drug exposure data. We used a multivariable stratified resampling (MSR) technique to estimate the proportion of drug exposure for the 700 most commonly used drugs and performed additional stability and sensitivity analyses for 19 drugs. Results The estimated proportion of pediatric inpatients exposed to specific drugs in 2006 ranged from high levels such as that of acetaminophen (17.36; 95%CI: 17.32, 17.41) to rare exposures such as bosentan (0.0018; 95%CI: 0.0013, 0.0023). Additional analyses for 19 drugs revealed that the MSR estimates were close to estimates generated by multivariable multiple imputation, with a maximum absolute difference of 0.03 for acetaminophen (17.36 vs. 17.33) and famotidine (1.90 vs. 1.93), and that even with 50% of the hospitals removed at random, the proportion estimates did not vary by more than 2.5-fold at the upper 97.5 percentile. Conclusions These pragmatic national estimates of the proportion of pediatric inpatient drug exposures, generated using an MSR technique, provide a context for interpretation of drug-related adverse event reports and prioritization of pediatric pharmacology research. © 2013 The Authors. Pharmacoepidemiology and Drug Safety published by John Wiley & Sons, Ltd. Blackwell Publishing Ltd 2013-08 2013-05-23 /pmc/articles/PMC3810715/ /pubmed/23704075 http://dx.doi.org/10.1002/pds.3456 Text en Copyright © 2013 John Wiley & Sons, Ltd. http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.
spellingShingle Original Reports
Feudtner, Chris
Dai, Dingwei
Faerber, Jennifer
Metjian, Talene A
Luan, Xianqun
Pragmatic estimates of the proportion of pediatric inpatients exposed to specific medications in the USA
title Pragmatic estimates of the proportion of pediatric inpatients exposed to specific medications in the USA
title_full Pragmatic estimates of the proportion of pediatric inpatients exposed to specific medications in the USA
title_fullStr Pragmatic estimates of the proportion of pediatric inpatients exposed to specific medications in the USA
title_full_unstemmed Pragmatic estimates of the proportion of pediatric inpatients exposed to specific medications in the USA
title_short Pragmatic estimates of the proportion of pediatric inpatients exposed to specific medications in the USA
title_sort pragmatic estimates of the proportion of pediatric inpatients exposed to specific medications in the usa
topic Original Reports
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3810715/
https://www.ncbi.nlm.nih.gov/pubmed/23704075
http://dx.doi.org/10.1002/pds.3456
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