Liu Yunyue, Su Mengyu, Lei Yang, Tian Jinping, Zhang Lin, Xu Di
School of Nursing, Nanjing Medical University, 210000 Nanjing, Jiangsu, China.
Department of Cardiology, Nanjing Drum Tower Hospital, 210000 Nanjing, Jiangsu, China.
Rev Cardiovasc Med. 2023 Sep 25;24(9):273. doi: 10.31083/j.rcm2409273. eCollection 2023 Sep.
This study aims to assess whether sarcopenia can be used to predict prognosis in patients with heart failure (HF) and if different diagnostic criteria for sarcopenia and diverse regions where studies were conducted could affect prognostic outcomes, thus providing a preliminary basis for early identification and prediction of poor prognosis in HF.
The PubMed, Cochrane, Embase, and CNKI (China National Knowledge Infrastructure) databases were searched from inception until March 2023. Cohort studies evaluating the prognostic effect of sarcopenia in patients with HF were included. Two authors independently assessed the studies according to the Newcastle-Ottawa Scale. The meta-analyses were performed using RevMan 5.3 software. The study results were reported using a checklist of Preferred Reporting Items for Systematic Reviews and Meta-analyses were used to report the study results.
A total of 12 studies with 3696 HF patients were included. The results showed that the sarcopenia population had a higher risk of all-cause mortality (HR (hazard ratio) = 1.98, 95% CI (confidence interval): 1.61-2.44) and major adverse cardiovascular events (MACE) (HR = 1.24, 95% CI: 1.06-1.45) compared to the non-sarcopenia population. Moreover, the subgroup analysis reported that different diagnostic criteria for sarcopenia and diverse regions were statistically significant for all-cause mortality, except for the Europe subgroup (HR = 1.34, 95% CI: 0.89-2.02). In the subgroup analysis of MACE, all subgroups were statistically significant except for the European Working Group on Sarcopenia in Older People (EWGSOP) (HR = 1.39, 95% CI: 0.86-2.25) and European subgroups (HR = 1.39, 95% CI: 0.86-2.25).
Sarcopenia is associated with poor prognosis, including all-cause mortality and MACE, in patients with HF. However, due to the adoption of various diagnostic criteria in different regions of the world, these results need further validation.
本研究旨在评估肌肉减少症是否可用于预测心力衰竭(HF)患者的预后,以及肌肉减少症的不同诊断标准和研究开展的不同地区是否会影响预后结果,从而为HF患者不良预后的早期识别和预测提供初步依据。
检索PubMed、Cochrane、Embase和中国知网(CNKI)数据库,检索时间从建库至2023年3月。纳入评估肌肉减少症对HF患者预后影响的队列研究。两位作者根据纽卡斯尔-渥太华量表独立评估研究。使用RevMan 5.3软件进行荟萃分析。研究结果采用系统评价和荟萃分析的首选报告项目清单进行报告。
共纳入12项研究,涉及3696例HF患者。结果显示,与非肌肉减少症人群相比,肌肉减少症人群全因死亡风险更高(风险比(HR)=1.98,95%置信区间(CI):1.61-2.44),主要不良心血管事件(MACE)风险更高(HR = 1.24,95% CI:1.06-1.45)。此外,亚组分析报告,除欧洲亚组外(HR = 1.34,95% CI:0.89-2.02),肌肉减少症的不同诊断标准和不同地区对全因死亡率具有统计学意义。在MACE亚组分析中,除老年人肌肉减少症欧洲工作组(EWGSOP)(HR = 1.39,95% CI:0.86-2.25)和欧洲亚组(HR = 1.39,95% CI:0.86-2.25)外,所有亚组均具有统计学意义。
肌肉减少症与HF患者的不良预后相关,包括全因死亡和MACE。然而,由于世界不同地区采用了各种诊断标准,这些结果需要进一步验证。