Key result
The combination of estimated pulse wave velocity and body mass index significantly predicted new-onset diabetes with an AUC of 0.822, outperforming either indicator alone.
Why the study?
Although ePWV and BMI relate to predicting new-onset diabetes, the impact and predictive value of their combination needed evaluation.
Does the combination of estimated pulse wave velocity and BMI improve the prediction of new-onset diabetes compared to either indicator alone?
Cohort (n=211,833)
Yes
Does the combination of estimated pulse wave velocity and BMI improve the prediction of new-onset diabetes compared to either indicator alone?
The combination of estimated pulse wave velocity and BMI provides strong predictive value (AUC 0.822) for identifying individuals at risk of developing new-onset diabetes.
Answers are grounded in this paper and cite their sources.
May refine diabetes risk assessment; hypothesis-generating and requires prospective validation before practice change.
Purpose ePWV and BMI are closely related to the prediction of new-onset diabetes. The aim of this study was to evaluate the impact and predictive value of the combination of estimate pulse wave velocity (ePWV) and body mass index (BMI) on new-onset diabetic patients. Methods A secondary analysis of a cohort study conducted by rich health care was performed with a total of 211833 eligible subjects enrolled. Logistic regression analysis was used to identify factors influencing the occurrence of diabetes, and ROC curve analysis was used to evaluate the predictive value of ePWV, BMI, and their combination on new-onset diabetes. Results During a mean follow-up period of 3.12 years, 3000 men (1.41%) and 1174 women (0.55%) were diagnosed with diabetes. Logistic regression analysis showed that BMI, triglycerides, alanine aminotransferase, blood urea nitrogen, creatinine clearance rate, ePWV, and history of diabetes in the family were high-risk factors for new-onset diabetes. Compared with using ePWV or BMI alone, the combined ePWV and BMI had a higher area under the receiver operating characteristic curve of 0.822. Conclusion The elevation of ePWV and BMI levels is an independent risk factor for new-onset diabetes, and the combination of ePWV and BMI can better predict new-onset diabetes compared to using either indicator alone.
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Chen et al. (2023) conducted a cohort in New-onset diabetes (n=211,833). Estimated pulse wave velocity (ePWV) combined with body mass index (BMI) vs. ePWV or BMI alone was evaluated on Prediction of new-onset diabetes (Area Under the Curve) (AUC 0.822, 95% CI 0.817-0.828, p=<0.001). The combination of estimated pulse wave velocity and body mass index significantly predicted new-onset diabetes with an AUC of 0.822, outperforming either indicator alone.
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