Return to sport and duty in French military personnel after medial opening wedge high tibial osteotomy

Abstract: INTRODUCTION: Medial opening wedge high tibial osteotomy (MOWHTO) is a surgical option for medial femorotibial osteoarthritis, which preserves articular cartilage by correcting the extra-articular deformities of the lower limbs that cause osteoarthritis. This is an increasingly popular treatment in a population with high functional demand, such as the French military population. The aim of this study was to evaluate the rate of return to work and military activities at 6 months postsurgery and at last follow-up in this military population following MOWHTO.The hypothesis of this study was that MOWHTO enabled a majority of service members to return to the same level of activity within 6 months of surgery. MATERIALS AND METHODS: This was a retrospective, multicenter study including all French military personnel operated on for MOWHTO alone for osteoarthritis of medial compartment between 2008 and 2018 in different Military Teaching Hospitals. We excluded civilian patients. For each patient, a questionnaire was used to collect epidemiological, professional, sports, and functional data. The primary endpoint was the rate of return to work at 6 months postsurgery. We also studied the recovery of sports activities and functional results at a 6.6-year follow-up by standardized questionnaires (Tegner activity scale, Lysholm, IKDC subjective (International Knee Documentation Commitee)). RESULTS: Twenty-four MOWHTOs were performed during this period in a cohort of 22 French military personnel. Return to work at 6 months was possible in 20/24 cases (83.3%). Of the four patients who did not return to work at 6 months, two changed their activities, while the other two returned to their jobs after 6 months. The rate of resumption of sporting activities at an equal or higher level was 50% (11/22). There was no difference between pre- and postoperative Tegner Activity Scale scores at the longest follow-up (P = .08). The mean postoperative Lysholm scores were 73.5 (standard deviation 17.8) and IKDC 59 (standard deviation 8.7). No intraoperative complications were found, and one case of postoperative infection was found. CONCLUSIONS: A total of 83% of the operated soldiers were able to return to their professional activities in less than 6 months. We observed a functional improvement at the last follow-up. Comparing these results with data from civilian populations, the rate of occupational recovery is comparable. However, the return to sport is much better in the series of nonmilitary patients with approximately 90% return to work and sport in the year following surgery. MOWHTO improves the functional results of the knee, enabling a return to work and sport in most cases in young, active populations such as the French military.

Read the full article
Report a problem with this article

Related articles

  • More for Researchers

    Identifying opioid relapse during COVID-19 using natural language processing of nationwide Veterans Health Administration electronic medical record data

    Abstract: Novel and automated means of opioid use and relapse risk detection are needed. Unstructured electronic medical record data, including written progress notes, can be mined for clinically relevant information, including the presence of substance use and relapse-critical markers of risk and recovery from opioid use disorder (OUD). In this study, we used natural language processing (NLP) to automate the extraction of opioid relapses, and the timing of these occurrences, from veteran patients' electronic medical record. We then demonstrated the utility of our NLP tool via analysis of pre-/post-COVID-19 opioid relapse trends among veterans with OUD. For this demonstration, we analyzed data from 107,606 veterans OUD enrolled in Veterans Health Administration, comparing a pandemic-exposed cohort (n = 53,803; January 2019-March 2021) to a matched prepandemic cohort (n = 53,803; October 2017-December 2019). The recall of our NLP tool was 75% and our precision was 94%, demonstrating moderate sensitivity and excellent specificity. Using the NLP tool, we found that the odds of opioid relapse postpandemic onset were proportionally higher compared to prepandemic trends, despite patients having fewer mental health encounters from which to derive instances of relapse postpandemic onset. In this research application of the tool, and as hypothesized, we found that opioid relapse risk was elevated postpandemic. The application of NLP Methods: to identify and monitor relapse risk holds promise for future surveillance, risk prevention, and clinical outcome research.