Evidence map›Paper›PMID 37755681›Full record

ArticleClinical pharmacokinetics2023

Escitalopram and Sertraline Population Pharmacokinetic Analysis in Pediatric Patients.

Ethan A Poweleit, Zachary L Taylor, Tomoyuki Mizuno, Samuel E Vaughn, Zeruesenay Desta, Jeffrey R Strawn, Laura B Ramsey

Open access · greenAbstract read
In one paragraph

Article in Clinical pharmacokinetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
5.1field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 21 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Ethan A PoweleitDivision of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Zachary L TaylorDivision of Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Tomoyuki MizunoDivision of Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Samuel E VaughnDepartment of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, OH, USA.
Zeruesenay DestaDivision of Clinical Pharmacology, School of Medicine, Indiana University, Indianapolis, IN, USA.
Jeffrey R StrawnDivision of Child and Adolescent Psychiatry, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Laura B RamseyDivision of Research in Patient Services, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, MLC 6018, Cincinnati, OH, 45229, USA. laura.ramsey@cchmc.org.ORCID http://orcid.org/0000-0001-6417-3961
Cincinnati Children's Hospital Medical Center · USIndiana University – Purdue University Indianapolis · US

Funding

LCenter for Clinical and Translational Science and TrainingUL1TR001425 · NCATS · UNIVERSITY OF CINCINNATI · PI MEINZEN-DERR, JAREEN, STRAWN, JEFFREY ROBERT · 2015 to 2024
$37.5M
T32 Cincinnati Pediatric Clinical Pharmacology Training ProgramT32HD069054 · NICHD · CINCINNATI CHILDRENS HOSP MED CTR · PI TRACY A GLAUSER, Sonya C Tang Girdwood · 2011 to 2026
$3.0M
Improving the Effectiveness and Safety of Escitalopram in Pediatric Anxiety Disorders Using Pharmacogenetically-guided DosingR01HD099775 · NICHD · UNIVERSITY OF CINCINNATI · PI RAMSEY, LAURA B, STRAWN, JEFFREY ROBERT · 2020 to 2024
$2.9M
Genomic and drug-drug interaction mechanisms of interindividual variability in drug dispositionR35GM145383 · NIGMS · INDIANA UNIVERSITY INDIANAPOLIS · PI Zeruesenay Desta · 2022 to 2026
$2.0M
Predicting Psychiatric Readmission with Machine Learning in Children and AdolescentsF31MH132265 · NIMH · CINCINNATI CHILDRENS HOSP MED CTR · PI POWELEIT, ETHAN ANDREW · 2022 to 2023
$71k
NCATS NIH HHS UL1 TR001425NICHD NIH HHS R01 HD099775NICHD NIH HHS T32 HD069054NIGMS NIH HHS R35 GM145383NIMH NIH HHS F31 MH132265
6 · The paper itself

Abstract

BACKGROUND AND

objectiveEscitalopram and sertraline are commonly prescribed for anxiety and depressive disorders in children and adolescents. The pharmacokinetics (PK) of these medications have been evaluated in adults and demonstrate extensive variability, but studies in pediatric patients are limited. Therefore, we performed a population PK analysis for escitalopram and sertraline in children and adolescents to characterize the effects of demographic, clinical, and pharmacogenetic factors on drug exposure.

methodsA PK dataset was generated by extracting data from the electronic health record and opportunistic sampling of escitalopram- and sertraline-treated psychiatrically hospitalized pediatric patients aged 5-18 years. A population PK analysis of escitalopram and sertraline was performed using NONMEM. Concentration-time profiles were simulated using MwPharm++ to evaluate how covariates included in the final models influence medication exposure and compared to adult therapeutic reference ranges.

resultsThe final escitalopram cohort consisted of 315 samples from 288 patients, and the sertraline cohort consisted of 265 samples from 255 patients. A one-compartment model with a proportional residual error model best described the data for both medications. For escitalopram, CYP2C19 phenotype and concomitant CYP2C19 inhibitors affected apparent clearance (CL/F), and normalizing CL/F and apparent volume of distribution (V/F) to body surface area (BSA) improved estimations. The final escitalopram model estimated CL/F and V/F at 14.2 L/h/1.73 m

conclusionTo our knowledge, this is the largest population PK analysis of escitalopram and sertraline in pediatric patients. Significant PK variability for both medications was observed and was largely explained by CYP2C19 phenotype. Slower CYP2C19 metabolizers taking escitalopram or sertraline may benefit from dose reductions given increased exposure.

Indexed as

EscitalopramSertralineAdolescentAdultChildCytochrome P-450 CYP2C19Cytochrome P-450 CYP2C19 InhibitorsHumansPhenotypeCytochrome P-450 CYP2C19Cytochrome P-450 CYP2C19 InhibitorsEscitalopramSertraline

Identifiers

PMID37755681
PMCPMC11003701
OpenAlexW4387077632

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.