Cai XiXuan, Xu MingYing, Chen JieRu, Mao YueChun, Hu JingYu, Li LuSha, Pan JianJiang, Jin MengQi, Chen LiYing
Department of General Practice, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310020, People's Republic of China.
Diabetes Metab Syndr Obes. 2024 Dec 6;17:4689-4699. doi: 10.2147/DMSO.S481578. eCollection 2024.
This study aims to analyze baseline profiles and longitudinal changes in Atherogenic Index of Plasma (AIP) among individuals with prediabetes to identify distinct AIP trajectories and assess their significance in predicting diabetes onset.
This retrospective cohort study analyzed data from 8346 participants who underwent multiple general health checks. Utilizing latent class trajectory modeling and Cox proportional hazards analyses, it examined the association between the AIP index and health outcomes.
Over about 2 years, 2897 people progressed from prediabetes to diabetes. Individuals in the highest quartile of AIP had a higher diabetes risk compared to the lowest quartile (HR = 1.138, 95% CI1.013-1.278). Trajectory analysis revealed three groups: low-stable, moderate-stable, and high-stable, based on AIP index. The moderate-stable group showed a 1.117-fold risk of diabetes progression (95% CI1.026-1.217), while the high-stable group had an elevated risk (HR = 1.224, 95% CI1.059-1.415).
The study highlights a clear association between higher AIP index levels at baseline and an increased risk of diabetes progression. It underscores the significance of utilizing the AIP index as a predictive tool to identify those at risk, emphasizing the need for targeted preventive measures in managing diabetes progression.
本研究旨在分析糖尿病前期个体的血浆致动脉粥样硬化指数(AIP)的基线特征和纵向变化,以确定不同的AIP轨迹,并评估其在预测糖尿病发病中的意义。
这项回顾性队列研究分析了8346名接受多次一般健康检查的参与者的数据。利用潜在类别轨迹模型和Cox比例风险分析,研究了AIP指数与健康结果之间的关联。
在大约2年的时间里,2897人从糖尿病前期进展为糖尿病。与最低四分位数相比,AIP最高四分位数的个体患糖尿病的风险更高(HR = 1.138,95% CI1.013 - 1.278)。轨迹分析显示,根据AIP指数可分为三组:低稳定组、中稳定组和高稳定组。中稳定组糖尿病进展风险为1.117倍(95% CI1.026 - 1.217),而高稳定组风险升高(HR = 1.224,95% CI1.059 - 1.415)。
该研究突出了基线时较高的AIP指数水平与糖尿病进展风险增加之间的明确关联。强调了利用AIP指数作为预测工具来识别高危人群的重要性,强调了在管理糖尿病进展中采取针对性预防措施的必要性。