Use of femoral shaft fracture classification for predicting the risk of associated injuries

J Orthop Trauma. 2011 Sep;25(9):556-9. doi: 10.1097/BOT.0b013e318206cd06.

Abstract

Objectives: To investigate the hypothesis that specific fracture patterns in patients with femoral shaft fractures can predict the likelihood of associated injuries.

Design: Retrospective cohort study.

Setting: Level I trauma center.

Patients/participants: Consecutive patients treated because of a traumatic diaphyseal femoral fracture.

Main outcome measurement: We studied the association between the Orthopaedic Trauma Association (OTA) fracture classification (derived from initial radiographs) and concomitant injuries of the head, spine, chest, abdomen, and pelvis with a severity of two or more points according to the Abbreviated Injury Scale by logistic regression analysis.

Results: One hundred forty-three of 203 patients (80 men, 63 women; mean age 54 ± 26 years) met the inclusion criteria. All patients had unilateral diaphyseal fractures, 64 OTA 32.A (45%), 46 OTA 32.B (32%), and 33 OTA 32.C (23%). In addition, 134 associated injuries were identified in 52 patients. Increasing fracture severity, as expressed by the OTA classification (ie, A, B, C), was significantly associated with a higher likelihood of thoracic (odds ratio [OR], 5.89; 95% confidence interval [CI], 2.59-13.40), pelvic (OR, 4.55; 95% CI, 2.01-10.28), upper (OR, 2.38; 95% CI, 1.27-4.48), and lower extremity injuries (OR, 3.12; 95% CI, 1.78-5.46). Fracture severity explained between 70% and 86% of the probability of having accompanying injuries.

Conclusion: Radiographic grading of the severity of a femoral shaft fracture may signal the presence of accompanying injuries and should contribute to the clinical decision-making process in severe trauma.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Cohort Studies
  • Female
  • Femoral Fractures / classification
  • Femoral Fractures / diagnosis*
  • Femoral Fractures / diagnostic imaging
  • Humans
  • Male
  • Middle Aged
  • Multiple Trauma / diagnosis*
  • Multiple Trauma / diagnostic imaging
  • Predictive Value of Tests
  • Radiography
  • Retrospective Studies
  • Risk Factors
  • Trauma Centers
  • Young Adult