Literature DB >> 21857424

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

Vassilios S Nikolaou1, Dirk Stengel, Peter Konings, George Kontakis, Gerasimos Petridis, Giannos Petrakakis, Peter V Giannoudis.   

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.

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Year:  2011        PMID: 21857424     DOI: 10.1097/BOT.0b013e318206cd06

Source DB:  PubMed          Journal:  J Orthop Trauma        ISSN: 0890-5339            Impact factor:   2.512


  4 in total

1.  Repeat LISS treatment for femoral shaft fractures due to hardware failure: a retrospective analysis of eleven cases.

Authors:  Xu Li; Xian Xu; Lin Liu; Qin Shao; Wei Wu
Journal:  Eur J Orthop Surg Traumatol       Date:  2012-09-22

2.  Analysis of femoral fracture post motor vehicle accidents.

Authors:  Abdullah A AlTurki; Khalid S AlAqeely; Turki S AlMugren; Ibrahim S AlZimami
Journal:  Saudi Med J       Date:  2019-01       Impact factor: 1.484

3.  Efficacy and safety of femoral nerve block for the positioning of femur fracture patients before a spinal block - A systematic review and meta-analysis.

Authors:  Yuan-Pin Hsu; Chin-Wang Hsu; Karen Chia Wen Chu; Wen-Cheng Huang; Chyi-Huey Bai; Chun-Jen Huang; Sheng-Wei Cheng; Jin-Hua Chen; Chiehfeng Chen
Journal:  PLoS One       Date:  2019-05-02       Impact factor: 3.240

4.  Femoral fractures are an indicator of increased severity of injury for road traffic collision victims: an autopsy-based case-control study on 4895 fatalities.

Authors:  Leonidas Roumeliotis; Nikolaos K Kanakaris; Vasileios S Nikolaou; Nikolaos Danias; Georgios Konstantoudakis; Iordanis N Papadopoulos
Journal:  Arch Orthop Trauma Surg       Date:  2021-07-01       Impact factor: 2.928

  4 in total

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