Association of high-density lipoprotein cholesterol with the top 10 causes of death

医学 内科学 胆固醇 联想(心理学) 脂蛋白 内分泌学 高密度脂蛋白 脂蛋白(a) 总胆固醇 梅德林 死因 低密度脂蛋白胆固醇 生理学 心脏病学 风险评估 生物信息学 血甘油三酯
作者
Shanshan Shi,Zhangyu Lin,Yanjun Song,Zixiang Ye,Chenxi Song,Kefei Dou
出处
期刊:European Journal of Preventive Cardiology [Oxford University Press]
被引量:3
标识
DOI:10.1093/eurjpc/zwaf749
摘要

AIM: Extremely high high-density lipoprotein cholesterol (HDL-C) may increase cardiovascular death risk, but whether such non-linear patterns extend to other major causes of death is unclear. This study examined dose-response associations between HDL-C and mortality from the ten leading global causes of death. METHODS: This study included 429,759 UK Biobank participants with baseline HDL-C data. Cause-specific deaths were obtained from national registries. HDL-C was modeled using Cox proportional hazards and Fine-Gray subdistribution hazard models. Restricted cubic splines assessed non-linear associations, stratified by sex. RESULTS: Over a median follow-up of 13.8 years, 37,785 deaths occurred. U-shaped associations were observed between HDL-C and death risk from ischemic heart disease, lower respiratory infections, trachea, bronchus, or lung cancers, diabetes mellitus, and kidney disease. The optimal HDL-C range for the lowest death risk from above causes was 58-74 mg/dL in females and 50-60 mg/dL in males. J-shaped curves were observed for chronic obstructive pulmonary disease and liver disease, with the lowest death risk at 30-50 mg/dL. Stroke and Alzheimer's disease/dementias death risk displayed sex-specific patterns: an L-shaped curve in females and U-shaped in males for stroke, and the reverse for Alzheimer's disease/dementias. Extremely high HDL-C levels were associated with increased risk of death across several causes. CONCLUSIONS: HDL-C is nonlinearly and sex-specifically associated with the top ten global causes of death. Both low and high HDL-C confer increased risk through different mechanisms. These findings highlight the importance of evaluating HDL functionality rather than just quantity in future research and clinical care.
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