Predictive model combining blood pressure, glycemic and renal markers for diabetic nephropathy in elderly hypertensive patients with type 2 diabetes.

This retrospective cohort study assessed the predictive value of routine clinical indicators for diabetic nephropathy (DN) in elderly patients (≥60 years) with type 2 diabetes mellitus (T2DM) and hypertension. A total of 102 hospitalized patients (January 2022-December 2023) were divided into DN and non-DN groups. Fasting blood glucose (FBG), 2-h postprandial glucose (2hPG), HbA1c, systolic blood pressure (SBP), urinary microalbumin (UMA), and urinary albumin-to-creatinine ratio (UACR) were analyzed using univariate and multivariate logistic regression to identify independent predictors. A nomogram based on these indicators was developed and evaluated by receiver operating characteristic (ROC) analysis. All six factors independently predicted DN (p < 0.05), with 2hPG showing the strongest association (OR = 8.922). The combined model achieved high predictive accuracy (AUC = 0.906), outperforming any single indicator. This model offers a practical tool for early DN risk stratification in elderly T2DM patients with hypertension, supporting individualized prevention and intervention.