Zhang Mengting, Chang Dongchun, Guan Qing, Dong Rui, Zhang Ru, Zhang Wei, Wang Hongliang, Wang Jie
Department of Gastroenterology, the Third Affiliated Hospital of Soochow University, Changzhou, 213003, Jiangsu, China.
Department of Fundamental and Community Nursing, School of Nursing, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
Diabetol Metab Syndr. 2024 Sep 11;16(1):223. doi: 10.1186/s13098-024-01457-y.
Although high-density lipoprotein cholesterol (HDL-C) exerts a significant influence on the development of metabolic dysfunction-associated fatty liver disease (MAFLD), the association of dynamic changes in HDL-C levels with the risk of MAFLD remains unclear. Thus, the aim of the current study was to explore the association between the changing trajectories of HDL-C and new-onset MAFLD. The findings of this study may provide a theoretical basis for future personalized intervention and prevention targeting MAFLD.
A total of 1507 participants who met the inclusion criteria were recruited from a community-based physical examination population in Nanjing, China from 2017 to 2021. Group-based trajectory models were constructed to determine the heterogeneous HDL-C trajectories. The incidence of MAFLD in each group in 2022 was followed up, and the Cox proportional hazards regression model was applied to investigate the associations between different HDL-C trajectories and the risk of new-onset MAFLD.
The incidences of MAFLD in the low-stable, moderate-stable, moderate-high-stable, and high-stable groups of HDL-C trajectory were 26.5%, 13.8%, 7.2% and 2.6%, respectively. The incidence rate of MAFLD in the order of the above trajectory groups exhibited a decreasing trend (χ = 72.55, P<0.001). After adjusting for confounders, the risk of MAFLD onset in HDL-C low-stable group was still 5.421 times (95%CI: 1.303-22.554, P = 0.020) higher than that in the high-stable group. Subgroup analyses of the combined (moderate high-stable and high-stable groups combined), moderate-stable and low-stable groups showed that sex, age, and overweight/obesity did not affect the association between HDL-C trajectory and MAFLD risk.
Persistently low HDL-C level is a risk factor for the onset of MAFLD. Long-term monitoring of HDL-C levels and timely intervention for those experiencing persistent declines are crucial for early prevention of MAFLD.
尽管高密度脂蛋白胆固醇(HDL-C)对代谢功能障碍相关脂肪性肝病(MAFLD)的发生有显著影响,但HDL-C水平的动态变化与MAFLD风险之间的关联仍不清楚。因此,本研究的目的是探讨HDL-C变化轨迹与新发MAFLD之间的关联。本研究结果可为未来针对MAFLD的个性化干预和预防提供理论依据。
2017年至2021年,从中国南京的社区体检人群中招募了1507名符合纳入标准的参与者。构建基于组的轨迹模型以确定HDL-C的异质轨迹。随访2022年各组MAFLD的发病率,并应用Cox比例风险回归模型研究不同HDL-C轨迹与新发MAFLD风险之间的关联。
HDL-C轨迹的低稳定、中稳定、中高稳定和高稳定组中MAFLD的发病率分别为26.5%、13.8%、7.2%和2.6%。MAFLD发病率以上述轨迹组的顺序呈下降趋势(χ=72.55,P<0.001)。调整混杂因素后,HDL-C低稳定组MAFLD发病风险仍比高稳定组高5.421倍(95%CI:1.303-22.554,P=0.020)。对合并组(中高稳定组和高稳定组合并)、中稳定组和低稳定组的亚组分析表明,性别、年龄和超重/肥胖不影响HDL-C轨迹与MAFLD风险之间的关联。
HDL-C持续低水平是MAFLD发病 的危险因素。长期监测HDL-C水平并对持续下降者及时进行干预对MAFLD的早期预防至关重要。