Jul 2026· Journal of atherosclerosis and thrombosis· 0 citations
Medicine
TL;DR
Adding non-fasting or fasting triglyceride levels to a model based on traditional predictors can slightly improve the net benefit for 15-year risk prediction, corresponding to an approximate gain of 1 to 2 additional individuals per 1,000 screened.
Abstract
Aims
Non-fasting triglyceride measurements have become increasingly common in screening for atherosclerotic cardiovascular disease. However, evidence of its predictive value for diabetes mellitus is limited to only a few studies.
Methods
This prospective cohort study included two groups of individuals aged 40-74 years without diabetes mellitus: 7,673 who provided non-fasting blood samples and 4,055 who provided fasting samples. We used annual health checkup data to identify new cases of diabetes mellitus, employed Cox proportional hazard models to estimate hazard ratios, and conducted decision curve analyses to assess clinical utility.
Results
During a median follow-up of 13 years, 727 and 444 participants were diagnosed with diabetes mellitus in the non-fasting and fasting groups, respectively. After adjusting for the glucose levels and other potential confounders measured at baseline, both non-fasting and fasting triglyceride levels were positively associated with the hazard of diabetes mellitus; the hazard ratios (95% confidence intervals) for the highest versus lowest quartiles were 1.99 (1.50-2.64) and 1.58 (1.11-2.26), respectively. Adding non-fasting or fasting triglyceride levels to a model based on traditional predictors can slightly improve the net benefit for 15-year risk prediction, corresponding to an approximate gain of 1 to 2 additional individuals per 1,000 screened. The improvement was slightly greater under non-fasting conditions than under fasting conditions.
Conclusion
Both the non-fasting and fasting triglyceride levels were associated with an increased hazard of diabetes mellitus. Adding the triglyceride levels can therefore provide modest but potentially useful supplementary information for diabetes prediction, particularly under non-fasting conditions.
BACKGROUND
The association between Metabolic Score for Visceral Fat (METS-VF) and incident diabetes mellitus remains controversial. In this study, we examined this association in a middle-aged and older Chinese population.
METHODS
We analyzed 7,606 participants (median age: 58years) from the China Health and Retireme...
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