已发表论文

基于潜在类增长混合模型的GGT/HDL-C比值变化与糖尿病风险的相关性分析:中国成年人的纵向队列研究

 

Authors Liang S, Yang T

Received 22 April 2024

Accepted for publication 16 August 2024

Published 24 August 2024 Volume 2024:17 Pages 3139—3150

DOI https://doi.org/10.2147/DMSO.S475067

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Prof. Dr. Antonio Brunetti

Shichao Liang,1 Tengfei Yang2 

1Department of Emergency Medicine, Shengjing Hospital of China Medical University, Shenyang, People’s Republic of China; 2Department of Health Management, Shengjing Hospital of China Medical University, Shenyang, People’s Republic of China

Correspondence: Tengfei Yang, Department of Health Management, Shengjing Hospital of China Medical University, No. 36, Sanhao Street, Heping District, Shenyang, 110004, People’s Republic of China, Email yangtf@sj-hospital.org

Objective: Longitudinal cohort analysis was performed to identify the association between changes in the gamma-glutamyl transferase (GGT)/high-density lipoprotein cholesterol (HDL-C) ratio trajectory and the risk of developing diabetes mellitus.
Methods: This was a retrospective cohort study. We analyzed the latent trajectory classes of changes in the GGT/HDL-C ratio by applying a latent class mixture model with healthy individuals who underwent medical checkups from January 2017 to December 2021 as the study subjects. To analyze the effect of the GGT/HDL-C ratio trajectory classes on new-onset diabetes mellitus, we then applied a multivariate Cox proportional risk regression model. Statistical analysis was performed using the R-software with the LCMM package.
Results: The study cohort comprised 3410 participants. All participants were followed up for 5 years, and 95 developed diabetes (4-year incidence of 2.78%). By applying the latent class mixed model, we categorized participants into three trajectory groups: low-stability group (n = 2253), medium-increase group (n = 941), and high-increase group (n = 216). The Cox proportional risk regression model analysis showed that the hazard ratio (95% confidence interval) for the incidence of diabetes mellitus was 1.73 (1.04– 2.87) in the medium-increase group and 3.96 (2.11– 7.44) in the high-increase group. Moreover, we calculated the estimated model-based levels and linear slopes of the GGT/HDL-C ratios for each age group between 26 and 85 years at 10-year intervals, respectively. The results indicated the strongest correlation between the GGT/HDL-C ratio slope and diabetes in the 46– 55 year age group, with an odds ratio of 1.51 (1.25– 1.83).
Conclusion: A large increase in the GGT/HDL-C ratio was highly associated with the risk of developing diabetes mellitus. This result suggests that vigilance for changes in the GGT/HDL-C ratio trajectory during community health screening can help identify potential patients with diabetes, enabling early intervention and treatment.

Keywords: GGT/HDL-C ratio, trajectory analysis, diabetes mellitus, cohort study, health management