Yu Ronghui, Ma Cong, Yuan Xuhui, Li Junhong, Jiang Lang, Gao Nan, Wang Jianwen, Weng Yuxiong, Wang Xiaodong
Children's Hospital of Soochow University, Suzhou 215000, China.
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Diabetes Res Clin Pract. 2025 Aug;226:112315. doi: 10.1016/j.diabres.2025.112315. Epub 2025 Jun 3.
Diabetes and prediabetes present significant global health challenges, especially as the population ages. However, prediabetes is often under-recognized, and reliable predictors of long-term outcomes remain scarce. This study aimed to identify the most effective metabolic health-related indicator and combine it with Social Determinants of Health (SDoH) to enhance the accuracy of predicting long-term mortality in U.S. adults with diabetes and prediabetes.
This cross-sectional and cohort study included 6,180 eligible participants from the NHANES 2005-2018 database. The predictive performance of SDoH and eight metabolic health-related indicators was assessed using receiver operating characteristic (ROC) curves. The associations of the atherogenic index of plasma (AIP), SDoH, and their combination (AIP + SDoH) with all-cause and cardiovascular mortality were analyzed using Kaplan-Meier curves and Cox proportional hazards regression models.
AIP provedtobe the most efficacious metabolic health-related predictor for U.S. adults with diabetes and prediabetes. Cox regression models and subgroup analyses consistently demonstrated that the AIP + SDoH combination had an additive effect, significantly predicting both all-cause and cardiovascular mortality.
The AIP + SDoH combination is a robust independent prognostic factor, highlighting its potential to improve mortality prediction in U.S. adults with diabetes and prediabetes.