Introduction Although there is strong evidence of an association between general adiposity and incidence of heart failure, previous systematic reviews and meta-analyses have not reliably assessed the association of heart failure risk with other aspects of body composition (such as body fat distribution or lean mass), or between body composition and risk of heart failure subtypes. We aim to conduct a systematic review and meta-analysis of prospective studies to address these uncertainties, and inform efforts to prevent and treat heart failure. Methods and analysis The Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Protocols statement was used as a template for this protocol. A systematic search of Medline, Embase and Global Health from database inception to present will be conducted to identify prospective studies reporting on the associations between major measures of body composition (body mass index, waist circumference, waist–hip ratio, total body fat, visceral adiposity tissue and lean mass) and risk of heart failure. Article screening and selection will be performed by two reviewers independently, and disagreements will be adjudicated by consensus or by a third reviewer. Data from eligible articles will be extracted, and article quality will be assessed using the Newcastle-Ottawa Scale. Relative risks (and 95% CIs) will be pooled in a fixed effect meta-analysis, if there is no prohibitive heterogeneity of studies as assessed using the Cochrane Q statistic and I2 statistic. Subgroup analyses will be by age, sex, ethnicity and heart failure subtypes. Publication bias in the meta-analysis will be assessed using Egger’s test and funnel plots. Ethics and dissemination This work is secondary analyses on published data and ethical approval is not required. We plan to publish results in an open-access peer-reviewed journal, present it at international and national conferences, and share the findings on social media. PROSPERO registration number CRD42020224584. Data sharing is not applicable as no datasets generated and/or analysed for this study.

中文翻译：

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身体成分和心力衰竭风险：系统评价和荟萃分析的协议

简介 尽管有强有力的证据表明全身肥胖与心力衰竭的发病率之间存在关联，但之前的系统评价和荟萃分析并没有可靠地评估心力衰竭风险与身体成分其他方面（如体脂分布或瘦体重）的关联。 )，或在身体成分和心力衰竭亚型风险之间。我们的目标是对前瞻性研究进行系统回顾和荟萃分析，以解决这些不确定性，并为预防和治疗心力衰竭的努力提供信息。方法和分析 系统评价和协议元分析的首选报告项目声明被用作该协议的模板。对 Medline 的系统搜索，从数据库开始到现在，Embase 和 Global Health 将进行前瞻性研究，以确定报告身体成分主要指标（体重指数、腰围、腰臀比、全身脂肪、内脏脂肪组织和瘦体重）之间关联的前瞻性研究和心力衰竭的风险。文章筛选和选择将由两名审稿人独立进行，分歧由共识或第三位审稿人裁决。将从符合条件的文章中提取数据，并使用纽卡斯尔-渥太华量表评估文章质量。如果使用 Cochrane Q 统计量和 I2 统计量评估的研究没有令人望而却步的异质性，则相对风险（和 95% CI）将合并到固定效应荟萃分析中。亚组分析将按年龄、性别、种族和心力衰竭亚型。荟萃分析中的发表偏倚将使用 Egger 检验和漏斗图进行评估。伦理和传播这项工作是对已发表数据的二次分析，不需要伦理批准。我们计划在开放获取的同行评审期刊上发表结果，在国际和国家会议上展示，并在社交媒体上分享研究结果。PROSPERO 注册号 CRD42020224584。数据共享不适用，因为本研究没有生成和/或分析数据集。在国际和国家会议上展示，并在社交媒体上分享研究结果。PROSPERO 注册号 CRD42020224584。数据共享不适用，因为本研究没有生成和/或分析数据集。在国际和国家会议上展示，并在社交媒体上分享研究结果。PROSPERO 注册号 CRD42020224584。数据共享不适用，因为本研究没有生成和/或分析数据集。