Comparative analysis of treatment options for chronic heart failure and depression: a systematic review and Bayesian network meta-analysis.
Heart Fail Rev
; 29(4): 841-852, 2024 Jul.
Article
in En
| MEDLINE
| ID: mdl-38613598
ABSTRACT
Different interventions have been evaluated for the treatment of depression in heart failure (HF) patients. However, clear and established recommendations are lacking. PubMed, Scopus, and Web of Science databases were systematically searched for randomized controlled trials (RCT) evaluating the effect of various treatment options on depression scores in heart failure patients. The primary outcome was a change in depression scores presented as standardized mean difference (SMD). A Bayesian network for meta-analysis was constructed. Twenty-five RCTs were included, randomizing 6014 patients with confirmed heart failure and depression between 2003 and 2022. Compared to treatment as usual (TAU), only cognitive behavioral therapy (CBT) (SMD - 0.60, CI95% [- 1.0, - 0.17]) leads to a significant reduction in depression scores. Other interventions did not improve depression scores significantly. Our results show that for patients with HF and depression, CBT can significantly improve measures of depression, being the most efficacious treatment.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Bayes Theorem
/
Depression
/
Network Meta-Analysis
/
Heart Failure
Limits:
Humans
Language:
En
Journal:
Heart Fail Rev
Journal subject:
CARDIOLOGIA
Year:
2024
Document type:
Article
Affiliation country: