Background: Multiple descriptive studies have been published on refracture patterns, particularly for forearm fractures. However, few large cohorts have been analyzed quantitatively including the odds of refracture, and with a comprehensive assessment of the possible predictive factors associated with refracture. This study aimed to assess the frequency and timing of upper extremity refracture in a large pediatric orthopaedics practice, and to evaluate the strength of association of various patient-level and fracture-related factors with refracture.
Methods: Medical records were reviewed retrospectively for patients 1 to 18 years of age with at least 1 upper extremity fracture (ICD-9 codes 810 to 819) between June 1, 2010 and May 31, 2011. Characteristics of patients and fractures were assessed for the association with refracture using bivariate analysis and multivariable logistic regression.
Results: Among 2793 patients with a total of 2902 upper extremity fractures, 2% were treated for refracture within 2 years, at a median of 6 months (188 d) after the initial injury. Midshaft location, and characterization of the fracture as angulated or buckle, were associated with being more likely to refracture. Eighty percent of refractures were the result of a fall, with almost 25% involving a high-energy mechanism and about 15% from monkey bars or other playground equipment. The adjusted odds of refracture were 4 times higher if noncompliance with treatment recommendations was documented, when controlling for insurance type and number of days before orthopaedic evaluation. Forearm fractures were almost 4 times more likely to refracture compared with other bones, controlling for midshaft location, days immobilized, and buckle or torus characterization of the fracture.
Conclusions: Our practice saw a refracture occurrence in 2% of patients, with median time to refracture of ~6 months. The factors most strongly associated with refracture were midshaft fracture location, forearm fracture as opposed to clavicle or humerus, and noncompliance as defined in the study. Falls and high energy activities, such as use of wheeled devices, skis, or trampolines, were important mechanisms of refracture.
Level Of Evidence: This study is a Level II prognostic study. It is a retrospective study that evaluates the effect of patient and fracture characteristics on the outcome of upper extremity refracture.
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http://dx.doi.org/10.1097/BPO.0000000000002211 | DOI Listing |
Sci Rep
December 2024
Department of Orthopedic Surgery, Yonsei University College of Medicine, Seoul, South Korea.
The unique saddle articulation of the trapeziometacarpal joint allows for a wide range of motion necessary for routine function of the thumb. Inherently unstable characteristics of the joint can lead painful instability. In this study, we modified a surgical dorsal ligament reconstruction technique for restoring trapeziometacarpal joint stability.
View Article and Find Full Text PDFBehav Res Methods
December 2024
Algoritmi Research Centre, University of Minho, Campus de Azurém, 4800-058, Guimarães, Portugal.
The vibration perception threshold (VPT) is the minimum amplitude required for conscious vibration perception. VPT assessments are essential in medical diagnostics, safety, and human-machine interaction technologies. However, factors like age, health conditions, and external variables affect VPTs.
View Article and Find Full Text PDFSci Rep
December 2024
Cancer Center, Department of Pulmonary and Critical Care Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, 310014, Zhejiang, China.
Hospital-acquired infection (HAI) and antimicrobial resistance (AMR) represent major challenges in healthcare system. Despite numerous studies have assessed environmental and patient samples, very few studies have explored the microbiome and resistome profiles of medical staff including nursing workers. This cross-sectional study was performed in a tertiary hospital in China and involved 25 nurses (NSs), 25 nursing workers (NWs), and 55 non-medical control (NC).
View Article and Find Full Text PDFSci Rep
December 2024
Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran.
Surface electromyography (sEMG) data has been extensively utilized in deep learning algorithms for hand movement classification. This paper aims to introduce a novel method for hand gesture classification using sEMG data, addressing accuracy challenges seen in previous studies. We propose a U-Net architecture incorporating a MobileNetV2 encoder, enhanced by a novel Bidirectional Long Short-Term Memory (BiLSTM) and metaheuristic optimization for spatial feature extraction in hand gesture and motion recognition.
View Article and Find Full Text PDFAnn Vasc Surg
December 2024
Department of Surgery, University of Florida, Jacksonville, FL.
Objectives: Our objective was to determine risk factors and operative outcomes for patients with upper extremity penetrating vascular injuries(UEPVI).
Methods: A retrospective review was performed of all adult UEPVI patients presenting to a level I trauma center between 1986 and 2019. Statistical analyses were performed to determine the independent predictors of mortality and hospital length of stay(LOS) among patients who underwent operative repair.
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