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

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]
标识
DOI:10.1093/eurjpc/zwaf749
摘要

Abstract Aims Extremely 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 10 leading global causes of death. Methods and results This study included 429 759 UK Biobank participants with baseline HDL-C data. Cause-specific deaths were obtained from national registries. HDL-C was modelled using Cox proportional hazards and Fine–Gray sub-distribution hazard models. Restricted cubic splines assessed non-linear associations, stratified by sex. 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 curve 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. Conclusion HDL-C is non-linearly and sex-specifically associated with the top 10 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. Lay summary

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