Creation and external validation of a predictive model for unsuccessful closed reduction in pediatric supracondylar humerus fractures: a multicenter retrospective analysis - Report - MDSpire

Creation and external validation of a predictive model for unsuccessful closed reduction in pediatric supracondylar humerus fractures: a multicenter retrospective analysis

  • By

  • Rong Guo

  • Yi Zhou

  • Xiaoxuan Dai

  • April 24, 2026

  • 0 min

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Clinical Report: Predictive Model for Unsuccessful Closed Reduction in Pediatric SCHF

Overview

This study developed and validated a predictive model for failed closed reduction in pediatric supracondylar humerus fractures (SCHF). Key predictors included displacement direction, preoperative Baumann angle, and medial spike/entrapment sign, with the model demonstrating good discrimination in both development and validation cohorts.

Background

Pediatric supracondylar humerus fractures are the most common elbow fractures in children, often requiring surgical intervention. Closed reduction and percutaneous pinning (CRPP) is the standard treatment; however, failure to achieve successful closed reduction can lead to complications and prolonged operative time. A predictive tool for identifying patients at risk of failed closed reduction is essential for improving surgical outcomes and patient safety.

Data Highlights

CohortPatientsConversion Rate to Open ReductionAUC
Development8634.1%0.842
Validation9334.1%0.727

Key Findings

  • 34.1% of patients required conversion to open reduction after attempted closed reduction.
  • The final predictive model included displacement direction, preoperative Baumann angle, and medial spike/entrapment sign as key predictors.
  • The model showed good discrimination (AUC = 0.842) in the development cohort.
  • External validation demonstrated acceptable discrimination (AUC = 0.727).
  • Calibration indicated good agreement between predicted and observed risks.
  • Decision curve analysis suggested the model's potential clinical utility across relevant threshold probabilities.

Clinical Implications

The predictive model can assist surgeons in preoperative planning by identifying patients at risk for failed closed reduction. This may lead to improved operative efficiency and enhanced patient safety by facilitating timely conversion to open reduction when necessary.

Conclusion

The development and validation of this predictive model represent a significant advancement in preoperative planning for pediatric SCHF. Further prospective validation is warranted before routine clinical implementation.

References

  1. Safety and Efficacy of Open Plate Fixation for Displaced Proximal Humerus Fractures in Children: Achieving Excellent Functional Results
  2. Assessment of Risk Factors for Conservative Treatment Failure in a Study of 270 Diametaphyseal Radius Fractures
  3. Management and Outcomes of 100 Consecutive Cases of Proximal Radius Fractures in Pediatric Patients
  4. Utilizing Machine Learning for Fracture Assessment in Pediatric Forearm X-rays
  5. AAOS Pediatric Supracondylar Humerus Fractures
  6. JBJSOA-D-24-00011 1..10
  7. Anterior approach for pediatric supracondylar humerus fractures: A systematic review - PubMed
  8. AAOS Pediatric Supracondylar Humerus Fractures
  9. JBJSOA-D-24-00011 1..10
  10. Anterior approach for pediatric supracondylar humerus fractures: A systematic review - PubMed

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