对多重疾病变量在心血管疾病风险预测中的使用进行范围审查

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Emma Church¹, Katrina Poppe², Susan Wells²

¹University of Auckland, Auckland, New Zealand. emma.church@auckland.ac.nz.

BMC public health

|March 18, 2025

概括

心血管疾病 (CVD) 风险模型需要多病态度措施. 目前的模型对于那些有多种条件的人来说不太准确,这突出了需要改进风险预测和管理策略的需求.

科学领域:

心脏病学心脏病学
流行病学流行病学
公共卫生公共卫生

背景情况:

心血管疾病 (CVD) 是全球主要的死亡原因.
现有的心血管疾病风险预测模型显示,在多发病的成年人中,准确性降低.
单一疾病的模式可能不适合多重疾病的个体,他们面临心血管疾病和非心血管疾病死亡的风险.

研究的目的:

对将多重病态度措施纳入心血管疾病风险模型的证据进行范围审查.
评估用于将多病症纳入心血管疾病风险预测中的方法.
确定有关多发病和心血管疾病风险的文献中的证据缺口.

主要方法:

在MEDLINE,Embase和Cochrane数据库中从2012年1月到2022年9月的文献搜索.
使用阿克西和奥马利框架进行范围审查.
坚持系统审查和元分析的优先报告项目,扩展范围审查 (PRISMA-ScR) 准则.

主要成果:

14项研究在多变量预后性心血管疾病模型中包括多变性疾病变量.
只有四项研究评估了心血管疾病风险模型中多病变量的附加益处.
存在显著的证据差距,包括有限的文献,少数民族亚群体的代表性不足,以及缺乏对多病症指数的比较评估.

结论:

很少有研究在初级和二级心血管疾病预防队列中评估了多病症指数.
进一步的研究是必不可少的,以确定多病症指数在心血管疾病风险预测中的增量值.
需要改善风险分层和管理策略,以改善多病症患者的风险.

关键词:

心血管疾病风险 CVD风险心血管疾病的心血管疾病.查尔森并发症指数查尔森并发症指数伴随性疾病伴随性疾病多种疾病多重症.人口健康人口健康风险预测风险预测

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