Prediction of Antidepressant Efficacy by Cognitive Function in First-Episode Late-Life Depression: A Pilot Study

• Published in: Frontiers in psychiatry 2022-05, Vol.13, p.916041-916041
• Main Authors: Pan, Weigang, Liu, Chaomeng, Zhu, Dandi, Liu, Yi, Mao, Peixian, Ren, Yanping, Ma, Xin
• Format: Article
• Language: English
• Subjects: aging population; cognitive function; cognitive predictors; major depression (MDD); Psychiatry; remission; treatment response
• ISSN: 1664-0640; 1664-0640
• DOI: 10.3389/fpsyt.2022.916041

The response rate of treatment for late-life depression (LLD) is only 25-60%. The cognitive impairment associated with LLD often affects the effectiveness of antidepressants and may has the potential ability to predict response. This study seeks a biomarker for baseline cognitive function to predict efficacy of antidepressants. Sixty patients diagnosed with LLD received escitalopram or sertraline treatment for 8 weeks. Clinical symptom was measured using Hamilton Depression Rating Scale-17 (HAMD-17) and cognitive function was measured using the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS), Trail Making Test (TMT) before and after 8-week treatment. Patients were divided into treatment effective group (TE) and treatment ineffective group (TI) according to reduction rate in scores of HAMD-17 after treatment. Thirty-eight matched healthy controls (HC) were assessed using RBANS and TMT. There was significant decrease of score of RBANS and increase of score of TMT in patients with LLD compared with HC. Regression analysis revealed that change in HAMD-17 score was significantly positively associated with baseline score of picture naming, figure copy, digit span, and delayed memory. The preliminary findings suggested that working memory, attention, visuospatial, language function, and delayed memory should be examined further as a means of providing the useful objective biomarkers of treatment response. [www.ClinicalTrials.gov], identifier [ChiCTR2100042370].