Key result
Higher non-fasting triglycerides linked to ~99% higher risk of incident diabetes.
Why the study?
Evidence of the predictive value of non-fasting triglyceride measurements for diabetes mellitus is limited to only a few studies.
Do higher baseline non-fasting and fasting triglyceride levels predict incident diabetes mellitus in adults without diabetes?
Cohort (n=11,728)
Yes
Do higher baseline non-fasting and fasting triglyceride levels predict incident diabetes mellitus in adults without diabetes?
Hazard Ratio: 1.99 (95% CI 1.5–2.64)
Adding both non-fasting and fasting triglyceride levels to traditional risk models improves 15-year net benefit prediction for incident diabetes, with slightly greater utility observed in the non-fasting state.
Non-fasting triglycerides were associated with incident diabetes; extends predictive utility of non-fasting measures but should not yet change practice.
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.
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Li et al. (2026) conducted a cohort in Incident diabetes mellitus (n=11,728). Non-fasting triglyceride levels vs. Lowest quartile of non-fasting triglyceride levels was evaluated on Incident diabetes mellitus (HR 1.99, 95% CI 1.50-2.64). Higher non-fasting triglyceride levels were significantly associated with an increased hazard of incident diabetes mellitus (HR 1.99 for the highest vs. lowest quartile).
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