Life's Essential 8-Defined Cardiovascular Health and Mortality Risk in Cardiovascular-Kidney-Metabolic Health Stages 0-4: A Cohort Study.

IF 4 4区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Ruiyang Niu, Qiqi You, Wan Fu, Lingqi Wei, Jingjing Zeng, Yanyan Jia, Xinyi Zhang, Xiaoying Li, Shaoyong Xu
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引用次数: 0

Abstract

Background: Cardiovascular-kidney-metabolic (CKM) syndrome represents a primary contributor to global morbidity and mortality. Despite the Life's Essential 8 framework offering a comprehensive assessment of cardiovascular health (CVH), its prognostic utility in CKM syndrome remains unclear. This study aimed to investigate the association between Life's Essential 8-defined CVH and mortality risk in CKM health stages 0-4.

Methods: Data were analyzed from 302,171 UK Biobank participants in CKM health stages 0-4. CVH scores were calculated based on eight components: diet, physical activity, nicotine exposure, sleep health, body mass index, blood lipids, blood glucose, and blood pressure. All-cause and cardiovascular disease (CVD) mortality were ascertained through linked health records. Cox proportional hazards models were employed to examine associations between CVH scores and mortality risks. The predictive factors for mortality risk were explored using the gradient boosting machines method.

Results: Over a median follow-up of 12.7 years, 20,282 all-cause and 3,979 CVD deaths occurred. Compared with low CVH, high CVH was associated with 55% (95% confidence interval (CI): 0.42-0.49) and 67% (95% CI: 0.27-0.41) reductions in all-cause and CVD mortality. The inverse association of CVH scores with CVD mortality was stronger in non-advanced stages (P for interaction = 0.002). Restricted cubic spline analysis revealed a significant nonlinear association for all-cause mortality (P for nonlinear < 0.001), but not for CVD mortality (P for nonlinear = 0.936). Machine learning analysis indicated that among the eight components, nicotine exposure and blood glucose scores had the highest relative influence on mortality prediction.

Conclusions: Higher CVH scores were associated with lower mortality risk in CKM health stages 0-4, with stronger associations observed in non-advanced stages. Among the eight components, nicotine exposure and blood glucose scores showed stable and strong associations with mortality. These findings support the potential value of CVH assessment for risk stratification across CKM health stages.

生命基本8定义的心血管健康和心血管-肾脏-代谢健康0-4期的死亡风险:一项队列研究
背景:心血管肾代谢综合征(CKM)是全球发病率和死亡率的主要原因。尽管Life's Essential 8框架提供了心血管健康(CVH)的全面评估,但其在CKM综合征中的预后效用尚不清楚。本研究旨在探讨生命基本8定义的CVH与CKM健康0-4期死亡风险之间的关系。方法:数据分析来自302171名CKM健康阶段0-4的英国生物银行参与者。CVH评分是根据八个组成部分计算的:饮食、身体活动、尼古丁暴露、睡眠健康、体重指数、血脂、血糖和血压。通过相关的健康记录确定全因和心血管疾病(CVD)死亡率。采用Cox比例风险模型检验CVH评分与死亡风险之间的关系。采用梯度增强机方法探讨了死亡风险的预测因素。结果:在中位随访12.7年期间,发生了20282例全因死亡和3979例CVD死亡。与低CVH相比,高CVH与全因死亡率和CVD死亡率分别降低55%(95%可信区间(CI): 0.42-0.49)和67% (95% CI: 0.27-0.41)相关。在非晚期,CVH评分与CVD死亡率呈负相关(相互作用P = 0.002)。限制三次样条分析显示,与全因死亡率有显著的非线性关联(非线性P < 0.001),但与心血管疾病死亡率无显著的非线性关联(非线性P = 0.936)。机器学习分析表明,在八个组成部分中,尼古丁暴露和血糖评分对死亡率预测的相对影响最大。结论:较高的CVH评分与较低的CKM健康阶段0-4的死亡风险相关,在非晚期阶段观察到更强的相关性。在八个组成部分中,尼古丁暴露和血糖评分与死亡率表现出稳定而强烈的关联。这些发现支持CVH评估在CKM健康阶段的风险分层的潜在价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
10.70
自引率
1.40%
发文量
57
审稿时长
19 weeks
期刊介绍: The Journal of Epidemiology and Global Health is an esteemed international publication, offering a platform for peer-reviewed articles that drive advancements in global epidemiology and international health. Our mission is to shape global health policy by showcasing cutting-edge scholarship and innovative strategies.
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