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Introduction: Management of open extremity fractures presents significant challenges due to infection risks and healing complications. The widely used Gustilo-Anderson classification, established in 1976, categorizes open fractures primarily by wound size. However, it has been criticized for its poor reliability and lack of crucial outcome measures. In 2010, the Orthopaedic Trauma Association open fracture classification (OTA-OFC) was introduced as a more detailed alternative. Despite its reported advantages in reproducibility and predictive ability, the OTA-OFC has not seen widespread clinical adoption. Understanding how the OTA-OFC has been used since its inception may clarify its impact on medical care and the reasons for its slow acceptance.
Objectives: To assess the usage, benefits, and limitations of the OTA-OFC by a systematic review of all publications that used the OTA-OFC since its inception in 2010.
Data Sources: A comprehensive search of Google Scholar, Medline/PubMed, Embase, and Cochrane Database was conducted with the following search terms: [Orthopedic Trauma Association] OR [OTA] AND [Open Fracture Classification] OR [OFC].
Study Selection: Articles written in English, published between 2010 and 2024, and using the OTA-OFC for research/clinical assessment purposes were included.
Data Extraction: Data were extracted using Covidence. Extracted data included context of OTA-OFC use, benefits and limitations associated with OTA-OFC, and other descriptive information including study design and number of patients.
Data Synthesis: Data were compiled, analyzed, and synthesized using Microsoft Excel.
Results/conclusions: Although OTA-OFC provides more detailed fracture classification with better outcome predictions, its complexity limits its routine use. Increased clinical evidence and streamlined communication are needed to promote broader acceptance.
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http://dx.doi.org/10.1097/OI9.0000000000000391 | DOI Listing |
BMC Musculoskelet Disord
September 2025
Department of Clinical Sciences at Danderyds Hospital, Department of Orthopedic Surgery, Karolinska Institutet, Stockholm, 182 88, Sweden.
Background: This study evaluates the accuracy of an Artificial Intelligence (AI) system, specifically a convolutional neural network (CNN), in classifying elbow fractures using the detailed 2018 AO/OTA fracture classification system.
Methods: A retrospective analysis of 5,367 radiograph exams visualizing the elbow from adult patients (2002-2016) was conducted using a deep neural network. Radiographs were manually categorized according to the 2018 AO/OTA system by orthopedic surgeons.
Acta Ortop Mex
September 2025
Servicio de Ortopedia y Traumatología, Hospital de San Rafael, Hospitales Pascual. Cádiz, España.
Introduction: anatomical deformities such as developmental dysplasia of the hip (DDH) and Perthes disease represent a challenge for reconstruction. The use of 3D-printed models can be helpful for assessing the deformity, bone mass, implant size, and orientation.
Objectives: to prospectively evaluate the outcomes of 3D simulation in primary total hip arthroplasty.
Bone Jt Open
September 2025
Department of Orthopaedics, Uppsala University, Uppsala, Sweden.
Aims: Patella fractures can greatly impact knee function and quality of life. The primary aim of this study was to assess patient-reported outcomes one-year post-patella fracture. A secondary aim was to evaluate outcome differences based on sex, age, fracture classification, treatment modality, and patients' expectations.
View Article and Find Full Text PDFJMIR Med Inform
September 2025
Department of Radiology, Air Force Medical Center, Air Force Medical University, Fucheng Road 30, Haidian District, Beijing, CN.
Background: Lateral malleolar avulsion fracture (LMAF) and subfibular ossicle (SFO) are distinct entities that both present as small bone fragments near the lateral malleolus on imaging, yet require different treatment strategies. Clinical and radiological differentiation is challenging, which can impede timely and precise management. On imaging, magnetic resonance imaging (MRI) is the diagnostic gold standard for differentiating LMAF from SFO, whereas radiological differentiation on computed tomography (CT) alone is challenging in routine practice.
View Article and Find Full Text PDFDisabil Rehabil
September 2025
Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, ON, Canada.
Purpose: To develop a comprehensive ICF Core Set (ICF-CS) for vertebral fragility fracture.
Materials And Methods: The development of ICF-CSs involves three phases: i) systematic literature review and qualitative studies; ii) linking process to identify the ICF codes and categories; iii) international consensus process. i) We performed a literature search and qualitative studies with people with vertebral fragility fractures and healthcare professionals; ii) We linked the findings from the search and qualitative studies to the ICF categories, and drafted the proposed ICF-CS; iii) We performed an international consensus process involving experts with clinical or research experience in management of vertebral fragility fractures.