Pharmacogenetics to Predict Adverse Events Associated With Antidepressants.

ABSTRACT:

Objectives

To determine the association between cytochrome P450 2C19 (CYP2C19) metabolizer status and risk for escitalopram and citalopram, collectively termed (es)citalopram, and sertraline adverse events (AEs) in children.

Methods

In this retrospective cohort study, we used deidentified electronic health records linked to DNA. The cohort included children ≤18 years with ≥2 days of (es)citalopram or ≥7 days of sertraline exposure. The primary outcome was AEs assessed by manual chart review. CYP2C19 was genotyped for functional variants (*2, *3, *4, *6, *8, and *17), and individuals were assigned metabolizer status. Association between AEs and metabolizer status was determined by using Cox regression adjusting for age, race, ethnicity, dose, and concomitant CYP2C19-in

SUBMITTER: Rossow KM 

PROVIDER: S-EPMC7786826 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature