Prediction of Amputation Following Severe Pediatric Lower Extremity Injury: Application of the Mangled Lower Extremity (MangLE) Score in a Pediatric Population

Document Type

Journal Article

Publication Date

9-25-2025

Journal

The American surgeon

DOI

10.1177/00031348251383480

Keywords

MangLE score; amputation; mangled lower extremity; pediatric

Abstract

BackgroundSevere lower extremity injuries in pediatric patients present significant challenges for surgeons deciding between repair and amputation. A novel scoring system, the MangLE score, has been developed to identify adult patients who are unlikely to require amputation after severe lower extremity injury. This study sought to evaluate the predictive ability of the MangLE score in pediatric patients.MethodsA retrospective analysis was conducted using the 2013-2021 American College of Surgeons Trauma Quality Improvement Program (TQIP) database. Pediatric patients (≤17 years) with mangled lower extremities were included. Patients were stratified into age groups (0-3, 4-9, 10-13, and 14-17 years), and the predictive ability of the MangLE score for lower extremity amputation was assessed based on the area under the receiver operating characteristic curve (AUC), sensitivity, and specificity.ResultsA total of 7959 patients met the inclusion criteria. The MangLE score demonstrated an excellent predictive capability in patients aged 10-13 (AUC (95% CI): 0.87 (0.79-0.94)) and 14-17 (AUC (95% CI): 0.83 (0.79-0.86)). At the cutoff of ≥8, this resulted in an NPV of 99.7% for 10-13-year-olds and 99.4% for 14-17-year-olds. However, the MangLE score was ineffective in discriminating between those who did and did not require a lower extremity amputation in patients between 0 and 9 years old.DiscussionThe MangLE score maintains an excellent predictive ability for identifying those unlikely to require lower extremity amputation in pediatric mangled extremity patients aged 10-17; however, it fails to accurately predict this outcome in younger patients.Level of EvidenceLevel IV.

Department

School of Medicine and Health Sciences Student Works

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