Department of Neurology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Department of Health Management Medicine, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Nutr Metab Cardiovasc Dis. 2024 Jun;34(6):1467-1476. doi: 10.1016/j.numecd.2023.10.015. Epub 2023 Oct 18.
At present, there are few studies on the relationship between lipid accumulation product (LAP) and mortality. This study aims to explore the relationship between adult LAP and all-cause and cardiovascular disease (CVD) mortality.
The study people from the National Health and Nutrition Examination Survey (NHANES). Results of the mortality study were based on death data up to December 31, 2019. Cox proportional risk model was used to estimate the risk ratio (HR) and 95 % CI of all-cause and CVD mortality. A total of 50162 people were included in the study (the weighted average age and male proportion were 48.14 years and 48.64 % respectively). During the follow-up of 203460871 person-years, 6850 deaths were recorded, including 1757 CVD deaths. After multivariable adjustment, the increase of LAP was significantly correlated with all-cause and CVD mortality. Compared with the participants of Quartile 1 of LAP, the multivariable adjusted HRs and 95 % CI of the participants of Quartile 4 of LAP were 1.54 (1.32, 1.80) all-cause mortality (P for trend<0.001), and 1.55 (1.16, 2.09) CVD mortality (P for trend = 0.04). For every increase of natural log-transformed LAP, the all-cause mortality increased by 22 %, and the CVD mortality increased by 14 % (both P < 0.05).
Our cohort study based on NHANES showed that higher LAP was significantly associated with higher all-cause and CVD mortality. Maintaining a low LAP status may reduce the risk of death.
目前,关于脂质蓄积产物(LAP)与死亡率的研究较少。本研究旨在探讨成人 LAP 与全因和心血管疾病(CVD)死亡率之间的关系。
本研究人群来自全国健康和营养检查调查(NHANES)。死亡率研究结果基于截至 2019 年 12 月 31 日的死亡数据。采用 Cox 比例风险模型估计全因和 CVD 死亡率的风险比(HR)和 95%置信区间。共纳入 50162 人(加权平均年龄和男性比例分别为 48.14 岁和 48.64%)。在 203460871 人年的随访期间,记录了 6850 例死亡,其中 1757 例为 CVD 死亡。经过多变量调整后,LAP 的增加与全因和 CVD 死亡率显著相关。与 LAP 第 1 四分位组的参与者相比,LAP 第 4 四分位组的多变量调整 HR 及其 95%CI 分别为 1.54(1.32,1.80)全因死亡率(趋势 P<0.001),1.55(1.16,2.09)CVD 死亡率(趋势 P=0.04)。LAP 的自然对数每增加 1 个单位,全因死亡率增加 22%,CVD 死亡率增加 14%(均 P<0.05)。
我们基于 NHANES 的队列研究表明,较高的 LAP 与较高的全因和 CVD 死亡率显著相关。维持较低的 LAP 状态可能会降低死亡风险。