Literature DB >> 26569184

Does the OTA Open Fracture Classification Predict the Need for Limb Amputation? A Retrospective Observational Cohort Study on 512 Patients.

Jiandong Hao1, Derly O Cuellar, Benoit Herbert, Ji Wan Kim, Vivek Chadayammuri, Natalie Casemyr, Mark E Hammerberg, Philip F Stahel, David J Hak, Cyril Mauffrey.   

Abstract

BACKGROUND: Few studies have examined the utility of the Orthopaedic Trauma Association Open Fracture Classification (OTA-OFC) compared to the traditional Gustilo-Anderson classification for prediction of treatment outcomes in patients with open fractures. QUESTIONS/
OBJECTIVES: : (1) How do the Gustilo-Anderson classification and OTA-OFC systems compare in accuracy of predicting limb amputation, infection, and need for soft tissue coverage? (2) Is there an OTA-OFC summative threshold score that may guide the discussion and decision-making with regard to limb salvage or amputation?
DESIGN: Retrospective observational cohort study; Level IV evidence.
SETTING: Level I trauma center and urban safety-net institution. PATIENTS/PARTICIPANTS: Consecutive adult patients with open long bone fractures who underwent operative treatment between January 1, 2007 and December 31, 2012. MAIN OUTCOME AND MEASUREMENTS: Postoperative complications of infection, early limb amputation, and requirement for soft-tissue procedures.
RESULTS: The study cohort comprised 512 patients with mean age 49.6 ± 14.9 years. Nineteen patients (3.7%) underwent amputation. The Gustilo-Anderson classification demonstrated no correlations with any of the primary outcome measures, while OTA-OFC summative scores significantly varied between all outcome comparison groups. The skin injury component of the OTA-OFC was an independent predictor of limb amputation (OR, 5.44; 95% CI, 2.37-12.47), and an OTA-OFC summative score of ≥10 best correlated with need for amputation (P < 0.001). Sensitivity and specificity of the reported model were 79% and 94%, respectively.
CONCLUSIONS: Our results should be interpreted with caution due to the retrospective nature of our study. Based on our data, the OTA-OFC is superior to the Gustilo-Anderson classification system for prediction of postoperative complications and treatment outcomes in patients with open long bone fractures. A summative threshold score of 10 seems to identify increased odds of successful limb salvage.

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Year:  2016        PMID: 26569184     DOI: 10.1097/BOT.0000000000000479

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


  6 in total

1.  Evaluation of the orthopaedic trauma association open fracture classification (OTA-OFC) as an outcome prediction tool in open tibial shaft fractures.

Authors:  Matthew R Garner; Stephen J Warner; Jacob A Heiner; Yesul T Kim; Julie Agel
Journal:  Arch Orthop Trauma Surg       Date:  2021-05-16       Impact factor: 3.067

2.  Open tibial fractures: An overview.

Authors:  Marios Nicolaides; Georgios Pafitanis; Alexandros Vris
Journal:  J Clin Orthop Trauma       Date:  2021-06-24

3.  CORR Insights®: Delays to Surgery and Coronal Malalignment Are Associated with Reoperation after Open Tibia Fractures in Tanzania.

Authors:  Thomas A DeCoster
Journal:  Clin Orthop Relat Res       Date:  2020-08       Impact factor: 4.755

4.  Surgical timing for open fractures: Middle of the night or the light of day, which fractures, what time?

Authors:  Daniel Z You; Prism S Schneider
Journal:  OTA Int       Date:  2020-03-23

5.  Injectable Bacteria-Sensitive Hydrogel Promotes Repair of Infected Fractures via Sustained Release of miRNA Antagonist.

Authors:  Chenyan Yu; Lang Chen; Wu Zhou; Liangcong Hu; Xudong Xie; Ze Lin; Adriana C Panayi; Xingjie Zhan; Ranyang Tao; Bobin Mi; Guohui Liu
Journal:  ACS Appl Mater Interfaces       Date:  2022-07-22       Impact factor: 10.383

6.  Comparison of patient-reported outcomes at one year after injury between limb salvage and amputation: A prospective cohort study.

Authors:  Taketo Kurozumi; Takahiro Inui; Yuhei Nakayama; Akifumi Honda; Kentaro Matsui; Keisuke Ishii; Takashi Suzuki; Yoshinobu Watanabe
Journal:  PLoS One       Date:  2022-09-19       Impact factor: 3.752

  6 in total

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