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New tool predicts readmission risk in type 2 diabetes patients

Original: A nomogram incorporating nutritional risk for predicting 31-day unplanned readmission in adults with type 2 diabetes mellitus using LASSO regression

Researchers have developed a nomogram that combines nutritional risk screening with LASSO regression to predict the likelihood of unplanned hospital readmission within 31 days for adults with type 2 diabetes. The tool, published in Frontiers, is intended to help clinicians identify high-risk patients early and target follow-up care, with nutritional status highlighted as a key predictive factor.

Why now: It is a newly published clinical prediction study offering a practical tool for reducing costly diabetes readmissions.

Frontierstype 2 diabetesLASSO regression

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