医学
比例危险模型
危险系数
内科学
优势比
队列
人口
人口学
全国健康与营养检查调查
队列研究
死亡风险
置信区间
环境卫生
社会学
作者
Shuang Wu,Jun Zhu,Si‐qi Lyu,Juan Wang,Xing‐hui Shao,Han Zhang,Ziyi Zhong,Hongyu Liu,Lihui Zheng,Yang Chen
标识
DOI:10.1161/jaha.124.039751
摘要
Background The association between DNA methylation age acceleration (DNAmAA) and cardiovascular‐kidney‐metabolic (CKM) syndrome stages and long‐term mortality in the population with CKM syndrome remains unclear. Methods and Results This cohort study included 1889 participants from the National Health and Nutrition Examination Survey (1999–2002) with CKM stages and DNA methylation age data. DNAmAA was calculated as residuals from the regression of DNA methylation age on chronological age. The primary outcome was all‐cause mortality, with cardiovascular and noncardiovascular mortality as secondary outcomes. Proportional odds models assessed the associations between DNAmAAs and CKM stages, and Cox proportional hazards regression models estimated the associations between DNAmAAs and mortality. Significant associations were found between DNAmAAs and advanced CKM stages, particularly for GrimAge2Mort acceleration (GrimAA) (odds ratio [OR], 1.547 [95% CI, 1.316–1.819]). Over an average follow‐up of 14 years, 1015 deaths occurred. Each 5‐unit increase in GrimAA was associated with a 50% increase in all‐cause mortality (95% CI, 1.39–1.63), a 77% increase in cardiovascular mortality (95% CI, 1.46–2.15), and a 42% increase in noncardiovascular mortality (95% CI, 1.27–1.59). With the lowest GrimAA tertile as a reference, the highest GrimAA tertile showed hazard ratios of 1.95 (95% CI, 1.56–2.45) for all‐cause mortality, 3.06 (95% CI, 2.13–4.40) for cardiovascular mortality, and 1.65 (95% CI, 1.20–2.29) for noncardiovascular mortality. Mediation analysis indicated that GrimAA mediates the association between various exposures (including physical activity, Healthy Eating Index‐2015 score, hemoglobin A1c, etc.) and mortality. Conclusions GrimAA may serve as a valuable biomarker for assessing CKM stages and mortality risk in individuals with CKM syndrome, thereby informing personalized management strategies.
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