External validation of the Meggitt-Wagner, Texas University, SINBAD, and Saint Elian classifications for predicting major amputation in patients with diabetes at a public hospital in Peru.

Key Points

• The aim is to evaluate the effectiveness of various classification systems in predicting major amputation risk among diabetic patients in a public hospital.
• External validation of Meggitt-Wagner, Texas University, SINBAD, and Saint Elian classifications.
• Assessment of prognostic accuracy for each classification system.
• Evaluation of effective use by multidisciplinary teams in diabetic foot management.
• Saint Elian and University of Texas systems demonstrated the highest prognostic accuracy.
• Meggitt-Wagner and SINBAD classifications showed moderate accuracy.
• Clear cut-off points identified high-risk patients to support early interventions.