医学
危险系数
比例危险模型
内科学
贝叶斯多元线性回归
血脂异常
多元分析
全国健康与营养检查调查
单变量分析
队列
多元统计
置信区间
生存分析
心脏病学
疾病
回归分析
人口
环境卫生
机器学习
统计
计算机科学
数学
作者
Guoliang Liang,Wenhao Zhang,Xinxin Gu,Qiong Zhang,Ankang Liu,Xinran Qing,Jiangwei Ma
标识
DOI:10.3389/fcvm.2024.1469848
摘要
Background Although a few studies have examined the correlation between low-density lipoprotein cholesterol (LDL-C) and mortality, no study has explored these associations in hypertensive populations. This study aims to investigate the relationship between low-density lipoprotein cholesterol and cardiovascular and all-cause mortality in adults with hypertension. Methods Hypertensive participants aged ≥18 years from the National Health and Nutrition Examination Survey 1999–2018 with blood lipid testing data and complete follow-up data until 31 December 2019 were enrolled in the analysis. Univariate and multivariate Cox regression were conducted for the calculation of hazard ratios and 95% confidence intervals. A restricted cubic spline curve was performed to visually represent the relationship between LDL-C and mortality. Kaplan–Meier survival analysis and stratification analysis were also carried out. Results We finally analysed a cohort of 9,635 participants (49.6% male, mean age of 59.4 years). After a median follow-up of 98 months, there were 2,283 (23.7%) instances of all-cause fatalities, with 758 (7.9%) cases attributed to cardiovascular disease. Multivariate Cox regression analysis showed that lower levels of LDL-C were associated with a higher risk of all-cause and cardiovascular mortality; the LDL-C group’s lowest level (<2.198 mmol/L) still showed a 19.6% increased risk of all-cause mortality ( p = 0.0068) in the model that was completely adjusted. Both all-cause mortality and cardiovascular mortality showed a non-linear association with LDL-C concentration in restricted cubic spline regression analysis. Conclusions In individuals with hypertension, LDL-C was linked to cardiovascular and all-cause mortality. It was further demonstrated that this relationship was non-linear.
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