Elbow contracture following operative fixation of fractures about the elbow. Academic Article uri icon

Overview

abstract

  • BACKGROUND: The rates of elbow contracture and contracture release after surgically treated elbow trauma are poorly defined. The purpose of this study was to define the incidence of elbow contracture diagnosis and release after surgical treatment for elbow trauma. METHODS: The Humana insurance database was queried using the PearlDiver Patient Records Database between 2007 and 2017. Subjects were identified using International Classification of Diseases (ICD) codes in combination with Current Procedural Terminology codes and were included if they had a minimum of 1-year follow-up. Qualifying operative elbow trauma patients were queried for development of postoperative elbow contracture. Patient demographic characteristics, risk factors for elbow stiffness, and use of postoperative anticoagulation were recorded. Fracture severity was classified based on ICD-9 and ICD-10 codes. Logistic multivariate analysis was performed to determine independent risk factors for postoperative elbow contracture. RESULTS: The study population included 10,672 patients who were surgically treated for elbow trauma. In total, 902 patients (8.4%) were diagnosed with a contracture following fracture. Of patients with a diagnosis of elbow contracture, 65 patients (7.2%) underwent contracture release. On average, time to contracture diagnosis was 3.6 months (SD 7 months) and time to contracture release was 8.4 months (SD 3.6 months). The use of postoperative anticoagulation, burn or head injury at the time of fracture, male sex, obesity, opioid use, and moderate or severe fracture severity were significantly associated with progression to elbow contracture. CONCLUSION: The development of elbow contracture after surgical treatment of elbow trauma has a relatively high incidence of 8.4%.

publication date

  • November 14, 2019

Identity

PubMed Central ID

  • PMC6928310

Scopus Document Identifier

  • 85090746858

Digital Object Identifier (DOI)

  • 10.1016/j.jses.2019.09.004

PubMed ID

  • 31891023

Additional Document Info

volume

  • 3

issue

  • 4