Hamidreza Soleimani, Ali Nasrollahizadeh, Mohsen Hajiqasemi, Mandana Ebrahimzade, Homa Taheri, Pouya Ebrahimi, Haleh Ashraf, Marc D. Samsky, Kaveh Hosseini
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引用次数: 0
摘要
针对心力衰竭(HF)患者抑郁症的治疗,已经对不同的干预措施进行了评估。然而,目前尚缺乏明确的建议。我们在 PubMed、Scopus 和 Web of Science 数据库中系统检索了评估各种治疗方案对心衰患者抑郁评分影响的随机对照试验(RCT)。主要结果是抑郁评分的变化,以标准化平均差(SMD)表示。我们构建了一个贝叶斯网络进行荟萃分析。2003年至2022年期间,共纳入了25项RCT,对6014名确诊为心衰和抑郁症的患者进行了随机治疗。与常规治疗(TAU)相比,只有认知行为疗法(CBT)(SMD - 0.60,CI95% [- 1.0, - 0.17])能显著降低抑郁评分。其他干预措施并未明显改善抑郁评分。我们的研究结果表明,对于患有高血压和抑郁症的患者,CBT 可以明显改善抑郁的测量结果,是最有效的治疗方法。
Comparative analysis of treatment options for chronic heart failure and depression: a systematic review and Bayesian network meta-analysis
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.
期刊介绍:
ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.