Abstract

Introduction

Sertraline, a widely prescribed antidepressant, has considerable variability in serum concentrations. This retrospective study aimed to identify key determinants influencing sertraline concentrations, with a special focus on age-related differences.

Methods

We conducted a retrospective analysis of TDM data from 1076 patients (474 children/adolescents and 602 adults) collected between 2018 and 2024. Multivariable generalized linear regression and restricted cubic spline models were used to examine the relationships between clinical parameters and sertraline concentrations.

Results

The daily dose and aspartate aminotransferase (AST) level were positively correlated with the sertraline concentration in both age groups. Sex had a significant effect, with women exhibiting 43% (P = 0.001) and 37% (P = 0.001) higher concentrations than men in the child/adolescent and adult groups, respectively. In children and adolescents, the albumin (Alb) level and neutrophil (NEUT) count also considerably influence concentrations. CYP2C19 poor metabolizers (PMs) tended to be present at relatively high concentrations, but the difference was not statistically significant. Among child and adolescent patients, significant differences in dose-adjusted serum concentration (C/D) values (P = 0.0291) were observed across different CYP2C19 phenotypes, with PMs exhibiting higher C/D values. In a cohort of 593 patients who underwent high-sensitivity C-reactive protein (hsCRP) testing, a nonlinear, U-shaped correlation between hsCRP levels and sertraline concentrations was identified in children and adolescents.

Discussion

By identifying key factors such as daily dose, sex and AST levels, clinicians can develop tailored treatment plans for individual patients. These findings underscore the need for further research to elucidate the interplay between sertraline metabolism and patients’ physiological and pathological characteristics.

Details

Title
Identifying factors related to sertraline concentrations in child/adolescent and adult patients: insights from a therapeutic drug monitoring service
Author
Li, Ruoming; Bi, Bin; Dong, Zhe; Chen, Sai; Yuan Yun; Wang, Xiuhuan; Hasenqimuge; Chen, Song; Tan, Yunlong
Pages
1-13
Section
Research
Publication year
2025
Publication date
2025
Publisher
BioMed Central
e-ISSN
1471244X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3216561292
Copyright
© 2025. This work is licensed under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.