C-reactive protein could predict the efficacy of SSRIs in clinical practice: A cohort study of large samples in the real world

BACKGROUNDC-reactive protein (CRP) has been shown to predict antidepressant treatment outcomes in several trials, but they were limited to small-sample and strictly-restricted conditions. This study plans to verify if CRP can predict antidepressant efficacy in large samples in the real world. METHOD...

Full description

Saved in:
Bibliographic Details
Published in:Journal of affective disorders 2022-09, Vol.313, p.251-259
Main Authors: Pan, Yuqian, Luo, Rui, Zhang, Shuqi, Liu, Yuxia, Wang, Yiping, Feng, Simeng, Li, Hengfen
Format: Article
Language:English
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:BACKGROUNDC-reactive protein (CRP) has been shown to predict antidepressant treatment outcomes in several trials, but they were limited to small-sample and strictly-restricted conditions. This study plans to verify if CRP can predict antidepressant efficacy in large samples in the real world. METHODS918 depressed patients who had tested CRP were included, then were followed up through their outpatient visits or by telephone to obtain information about their medication therapy (SSRIs, SNRIs, MT, NaSSA) and assess efficacy using the Clinical Global Impressions-Improvement scale (CGII). Efficacy was classified as effective and ineffective and CRP was separated into the low CRP group (CRP
ISSN:0165-0327
1573-2517
DOI:10.1016/j.jad.2022.06.080