身体圆度指数与心脏代谢疾病和死亡率相关:一个多状态模型。

Xi Cai, Yicheng Liao, Xuemei Yang, Yajing Liang, Jiajia Ma, Ruiyue Liu, Xinran Wen, Wenli Yin, Shuohua Chen, Guodong Wang, Na Li, Shouling Wu, Liufu Cui
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引用次数: 0

摘要

目的:本研究旨在探讨身体圆度指数(BRI)与心脏代谢疾病(CMD)、心脏代谢多病(CMM)和全因死亡率的关系,并评估其在CMM不同进展阶段的影响。方法:在这项前瞻性队列研究中,来自开滦队列的87902名参与者被分为BRI四分位数。Cox模型估计了首次发生心脏代谢疾病(FCMD)、CMM和死亡率的风险比(hr)和95% ci。多状态模型评估了BRI在CMM进程中的作用。结果:在中位随访13.68年期间,21,636名参与者发展为手足口病,2114名参与者发展为慢性mm, 14,782名参与者死亡。在Cox模型中,BRI升高增加了口蹄疫、CMM和死亡率的风险。多状态分析显示,在CMM进展过程中,BRI的差异影响:BRI最高四分位数与最低四分位数的参与者显示,健康状态向FCMD过渡的hr为2.08 (1.99-2.17),FCMD向CMM过渡的hr为1.61(1.38-1.88),健康状态、FCMD和CMM的死亡率hr分别为1.09(1.03-1.16)、0.99(0.89-1.10)和0.73(0.54-0.99)。BRI的影响因疾病类型(糖尿病、心肌梗死、中风)和性别而异,在女性中相关性更强。结论:我们的研究结果强调了动态BRI监测作为早期CMM风险识别和预后评估的生物标志物,需要针对疾病和性别的预防策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Body Roundness Index Associated With Cardiometabolic Multimorbidity and Mortality: A Multistate Model.

Objective: This study aimed to investigate the associations of body roundness index (BRI) with cardiometabolic disease (CMD), cardiometabolic multimorbidity (CMM), and all-cause mortality, while evaluating its impact across different stages of CMM progression.

Methods: In this prospective cohort study, 87,902 participants from the Kailuan cohort were categorized into BRI quartiles. Cox models estimated hazard ratios (HRs) and 95% CIs for the first occurrence of cardiometabolic disease (FCMD), CMM, and mortality. Multistate models assessed BRI's role across CMM progression.

Results: Over a median follow-up of 13.68 years, 21,636 participants developed FCMD, 2114 developed CMM, and 14,782 died. Elevated BRI increased risks of FCMD, CMM, and mortality in Cox models. Multistate analysis revealed differential BRI effects across CMM progression: participants in the highest versus lowest BRI quartile showed HRs of 2.08 (1.99-2.17) for healthy-to-FCMD transition, 1.61 (1.38-1.88) for FCMD-to-CMM transition, and 1.09 (1.03-1.16), 0.99 (0.89-1.10), and 0.73 (0.54-0.99) for mortality from the healthy state, FCMD, and CMM, respectively. BRI's impact varied by disease type (diabetes mellitus, myocardial infarction, stroke) and sex, with stronger associations in females.

Conclusions: Our findings emphasize dynamic BRI monitoring as a biomarker for early CMM risk identification and prognostic assessment, necessitating disease- and sex-specific prevention strategies.

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