Key result
Intermediate hyperglycemia staging schemas predict incident diabetes better than binary prediabetes definitions.
Why the study?
Do staging schemas for intermediate hyperglycaemia improve the prediction of diabetes compared to binary categorisation?
Cohort
Do staging schemas for intermediate hyperglycaemia improve the prediction of diabetes compared to binary categorisation?
Answers are grounded in this paper and cite their sources.
Applying staging schemas with a predictive clinical score for intermediate hyperglycaemia improves diabetes prediction and reduces unnecessary laboratory testing and false positives.
AIMS/HYPOTHESIS: levels. METHODS: levels. We additionally assessed these staging schemas requiring an initial clinical score cutoff of ≥10% probability of developing diabetes in 10 years before proceeding to laboratory testing. We calculated baseline insulin responsiveness (insulin secretion-sensitivity index-2, ISSI-2) and the frequency of an estimated high risk of complications (Whitehall subphenotype clusters) across stages. We estimated relative risks of developing diabetes ascertained by self-report and glucose measurements after a 5.31 (0.44) year follow-up using robust Poisson regression with an offset for person-years. We calculated the prognostic properties of staging schemas in the prediction of diabetes. RESULTS: staging schemas were superior to the binary categorisation of prediabetes (intermediate hyperglycaemia). CONCLUSIONS/INTERPRETATION: schemas. Applying a predictive clinical score in staging reduced laboratory testing and false positives.
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Bracco et al. (2026) conducted a cohort in Intermediate hyperglycaemia. Staging schemas for intermediate hyperglycaemia vs. Binary categorisation of prediabetes was evaluated on Development of diabetes. Staging schemas for intermediate hyperglycaemia were superior to the binary categorisation of prediabetes for predicting the development of diabetes over a 5.31-year follow-up.
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