Development of a System for Postmarketing Population Pharmacokinetic and Pharmacodynamic Studies Using Real-World Data From Electronic Health Records.


Journal

Clinical pharmacology and therapeutics
ISSN: 1532-6535
Titre abrégé: Clin Pharmacol Ther
Pays: United States
ID NLM: 0372741

Informations de publication

Date de publication:
04 2020
Historique:
received: 26 09 2019
accepted: 17 12 2019
pubmed: 21 1 2020
medline: 28 10 2020
entrez: 21 1 2020
Statut: ppublish

Résumé

Postmarketing population pharmacokinetic (PK) and pharmacodynamic (PD) studies can be useful to capture patient characteristics affecting PK or PD in real-world settings. These studies require longitudinally measured dose, outcomes, and covariates in large numbers of patients; however, prospective data collection is cost-prohibitive. Electronic health records (EHRs) can be an excellent source for such data, but there are challenges, including accurate ascertainment of drug dose. We developed a standardized system to prepare datasets from EHRs for population PK/PD studies. Our system handles a variety of tasks involving data extraction from clinical text using a natural language processing algorithm, data processing, and data building. Applying this system, we performed a fentanyl population PK analysis, resulting in comparable parameter estimates to a prior study. This new system makes the EHR data extraction and preparation process more efficient and accurate and provides a powerful tool to facilitate postmarketing population PK/PD studies using information available in EHRs.

Identifiants

pubmed: 31957870
doi: 10.1002/cpt.1787
pmc: PMC7093250
mid: NIHMS1557620
doi:

Substances chimiques

Analgesics, Opioid 0
Lamotrigine U3H27498KS
Fentanyl UF599785JZ
Tacrolimus WM0HAQ4WNM

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

934-943

Subventions

Organisme : NIGMS NIH HHS
ID : K23 GM100183
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM124109
Pays : United States
Organisme : NIGMS NIH HHS
ID : P50 GM115305
Pays : United States
Organisme : NIGMS NIH HHS
ID : R35 GM131770
Pays : United States
Organisme : Doris Duke Charitable Foundation
ID : 2017075
Pays : United States
Organisme : NCATS NIH HHS
ID : TL1 TR002244
Pays : United States

Informations de copyright

© 2020 The Authors Clinical Pharmacology & Therapeutics © 2020 American Society for Clinical Pharmacology and Therapeutics.

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Auteurs

Leena Choi (L)

Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.

Cole Beck (C)

Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.

Elizabeth McNeer (E)

Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.

Hannah L Weeks (HL)

Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.

Michael L Williams (ML)

Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.

Nathan T James (NT)

Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.

Xinnan Niu (X)

Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.

Bassel W Abou-Khalil (BW)

Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.

Kelly A Birdwell (KA)

Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.

Dan M Roden (DM)

Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Department of Pharmacology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.

C Michael Stein (CM)

Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Department of Pharmacology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.

Cosmin A Bejan (CA)

Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.

Joshua C Denny (JC)

Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.

Sara L Van Driest (SL)

Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.

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Classifications MeSH