
This study aimed to develop and externally validate a score for use in dental settings to identify those at risk of undiagnosed nondiabetic hyperglycemia (NDH) or type 2 diabetes (T2D). External validation of the model and score employed an independent data set comprising 2,359 participants with 357 events. In addition, predictive performance, discrimination, calibration, and clinical utility were assessed. The final model included age, sex, body mass index, smoking status, first-degree relative with diabetes, a dental prosthesis, mobile teeth, history of periodontal treatment, and probing pocket depths ≥5 mm, as well as prespecified interaction terms. The findings indicated that a validated prediction model involving dental variables could identify NDH or undiagnosed T2DM.
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