Factors influencing accelerated aging in patients with type 2 diabetes mellitus and coronary heart disease

Front Endocrinol (Lausanne). 2024 Jul 31:15:1416234. doi: 10.3389/fendo.2024.1416234. eCollection 2024.

Abstract

Objective: To investigate the factors influencing accelerated aging in patients with type 2 diabetes mellitus (T2DM) and coronary heart disease (CHD).

Methods: A total of 216 patients diagnosed with T2DM and CHD between August 2019 and August 2023 at Xuzhou Central Hospital were selected. Patients were divided into an aging group and a non-aging group, based on the positive or negative values of phenotypic age acceleration (PhenoAgeAccel). Logistic regression analysis was conducted. Variables that had a univariate analysis P< 0.05 were included in the multivariate analysis to identify factors influencing aging in patients with T2DM and CHD, and the area under the curve of the model was reported.

Results: This study included 216 patients, with 89 in the accelerated aging group, and 127 in the non-accelerated aging group. The average age of patients was 70.40 (95% CI: 69.10-71.69) years, with 137 males (63.4%). Compared with the non-accelerated aging group, patients in the accelerated aging group were older, with a higher proportion of males, and a higher prevalence of hypertension, stable angina pectoris, and unstable angina pectoris. Multivariate Logistic regression analysis indicated that the absolute value of neutrophils (NEUT#), urea (UREA), adenosine deaminase (ADA), and the triglyceride-glucose index (TyG) were risk factors for accelerated aging, while cholinesterase (CHE) was a protective factor. For each unit increase in NEUT#, UREA, ADA, and TyG, the risk of aging increased by 64%, 48%, 10%, and 789%, respectively. The overall area under the receiver operating characteristic (ROC) curve of the model in the training set was 0.894, with a 95% confidence interval (CI) of 0.851-0.938.

Conclusion: NEUT#, CHE, UREA, ADA, and TyG are predictors of accelerated aging in patients with T2DM and CHD, with the model showing favorable overall predictive performance.

Keywords: ADA; TyG; coronary artery disease; influencing factors; phenotypic age acceleration; type 2 diabetes mellitus.

MeSH terms

  • Adenosine Deaminase / metabolism
  • Aged
  • Aging
  • Aging, Premature / epidemiology
  • China / epidemiology
  • Coronary Disease* / blood
  • Coronary Disease* / epidemiology
  • Diabetes Mellitus, Type 2* / complications
  • Female
  • Humans
  • Male
  • Middle Aged
  • Risk Factors
  • Triglycerides / blood
  • Urea / blood

Substances

  • Triglycerides
  • Adenosine Deaminase
  • Urea

Grants and funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This study is funded by the Xuzhou Science and Technology Plan Project -Key Projects (Approval number: KC22179). The fund was not involved in any study design, data collection, analysis and interpretation, report writing, and article submission for publication.