Suchergebnisse

PURPOSE: The epidemiology of dorsal wrist ganglia (DWG) has been poorly studied. The purpose of this study was to determine the epidemiology of DWG in the US military and civilian populations. We hypothesized that military service would be associated with an increased risk for developing a DWG. METHODS: The US Department of Defense Management Analysis and Reporting Tool, a database of health care encounters by military personnel and dependents, was queried for encounters with an International Classification of Diseases, Ninth Revision diagnosis of 727.41 (ganglion of a joint) or 727.43 (ganglion, unspecified location) between 2009 and 2014. There is no specific code for DWG, so a random sample of 1,000 patients was selected from both the military and civilian cohorts. These 2,000 electronic medical records were examined to identify patients with a DWG. This estimate was used to determine the unadjusted incidence of DWG with a 95% confidence interval and a 5% margin of error in the entire military and civilian dependent population. Adjusted incidence rates and incidence rate ratios (IRR) were determined using Poisson regression, controlling for demographic covariates. RESULTS: The incidence of DWG in the military population is 14.25/10,000 person-years compared with 7.01/10,000 person-years in the civilian population. Female sex was a significant risk factor in both the military (IRR, 2.59) and civilian populations (IRR, 2.26). Younger age group (age 25–34 years) was a significant risk factor for DWG compared with an older age group (age 45–64 years) in both the military (IRR, 1.74) and civilian populations (IRR, 2.56). Senior rank (both officer and enlisted) was a significant risk factor for DWG compared with junior rank (IRR, 1.95). CONCLUSIONS: The incidence of DWG was higher in the military compared with the civilian population. There is a higher incidence of a DWG in females and in the senior ranks (both officer and enlisted). TYPE OF STUDY/LEVEL OF EVIDENCE: Prognostic III.

BACKGROUND: Limited data are available regarding excessive opioid prescribing in the perioperative period after routine orthopaedic procedures in US military personnel. PURPOSE: To examine the demographic profile of the patients receiving these medications and to identify potential risk factors for prolonged opioid use after anterior cruciate ligament reconstruction (ACLR) in the active duty military population. STUDY DESIGN: Case-control study; Level of evidence, 3. METHODS: The Military Analysis and Reporting Tool (M2) was used to search the Military Health System Data Repository (MDR) for patients undergoing ACLR from 2012 through 2015 and specifically for active duty personnel with an arthroscopically assisted ACLR (Current Procedural Terminology [CPT] code 29888). Complete opioid prescription filling history was also obtained. This study had 2 primary outcomes: (1) use of opiate analgesics more than 90 days after surgery, representing prolonged opiate prescriptions, and (2) high levels of postoperative opiate use, defined as having filled prescriptions accounting for greater than the 95th percentile of morphine equivalents for patients in the study cohort. Data were analyzed via multivariate regression analysis to identify potential associations with the primary outcomes. RESULTS: A total of 9474 patients met the inclusion criteria. Median patient age was 27 years, and the sample included 1316 (14%) female and 8158 (86%) male patients. A total of 66 (0.7%) patients had a preoperative diagnosis for substance abuse; 2656 (28%) patients continued to receive opioid prescriptions more than 90 days after surgery, and 502 (5%) patients were in the top 95th percentile of all opioid users within the study cohort. Total preoperative morphine equivalents per day and total perioperative morphine equivalents per day were highly important risk factors for both outcomes, although other demographic factors such as race, sex, and age may play minor roles. CONCLUSION: We identified total preoperative morphine equivalents, ...

BACKGROUND: Machine-learning methods such as the Bayesian belief network, random forest, gradient boosting machine, and decision trees have been used to develop decision-support tools in other clinical settings. Opioid abuse is a problem among civilians and military service members, and it is difficult to anticipate which patients are at risk for prolonged opioid use. QUESTIONS/PURPOSES: (1) To build a cross-validated model that predicts risk of prolonged opioid use after a specific orthopaedic procedure (ACL reconstruction), (2) To describe the relationships between prognostic and outcome variables, and (3) To determine the clinical utility of a predictive model using a decision curve analysis (as measured by our predictive system's ability to effectively identify high-risk patients and allow for preventative measures to be taken to ensure a successful procedure process). METHODS: We used the Military Analysis and Reporting Tool (M2) to search the Military Health System Data Repository for all patients undergoing arthroscopically assisted ACL reconstruction (Current Procedure Terminology code 29888) from January 2012 through December 2015 with a minimum of 90 days postoperative follow-up. In total, 10,919 patients met the inclusion criteria, most of whom were young men on active duty. We obtained complete opioid prescription filling histories from the Military Health System Data Repository's pharmacy records. We extracted data including patient demographics, military characteristics, and pharmacy data. A total of 3.3% of the data was missing. To curate and impute all missing variables, we used a random forest algorithm. We shuffled and split the data into 80% training and 20% hold-out sets, balanced by outcome variable (Outcome90Days). Next, the training set was further split into training and validation sets. Each model was built on the training data set, tuned with the validation set as applicable, and finally tested on the separate hold-out dataset. We chose four predictive models to develop, at the end ...

BACKGROUND: Pectoralis major ruptures are rare injuries that can occur at several parts of the muscle. Little is known of the pathoanatomic process and performance following pectoralis major ruptures in young athletes. PURPOSE/HYPOTHESIS: The objective of this study was to describe a series of pectoralis major ruptures in military academy athletes at the US Military Academy and US Naval Academy. We hypothesized that military academy athletes will demonstrate a different rupture location than previously reported in older patients. STUDY DESIGN: Case series; Level of evidence, 4. METHODS: A retrospective case series was performed by analyzing all electronic medical records and imaging software for consecutive pectoralis major ruptures undergoing surgical repair within the student population at 2 military academies. The primary outcome of interest was rupture pattern and location. We also assessed functional recovery following surgery by analyzing push-up performance on the biannual Army Physical Fitness Test and Navy Physical Readiness Test. RESULTS: From 2005 to 2017, a total of 19 cases of pectoralis major ruptures occurred in military academy cadets. Patients ranged in age from 19 to 23 years, with a mean age of 20 years. All injuries occurred during sports activity, with bench press as the most common mechanism of injury (n = 10; 53%). The most common rupture location was the musculotendinous junction (n = 10; 53%), followed by pectoralis major tendon insertion (n = 8; 42%), and only 1 bony avulsion was noted. Physical activity performance following the rupture was negatively affected. The mean ± SD number of push-ups preinjury was 73.20 ± 12.10, which decreased following injury and surgery (66.50 ± 11.98; P = .037). CONCLUSION: Military academy athletes in our study cohort demonstrated a different type of rupture location than has been reported in older cohorts, with the majority experiencing tearing at a location other than the tendon itself. Performance was also negatively affected immediately following ...

BACKGROUND: High-energy open forearm fractures are unique injuries frequently complicated by neurovascular and soft tissue injuries. Few studies have evaluated the factors associated with nonunion and loss of motion after these injuries, particularly in the setting of blast injuries. QUESTIONS/PURPOSES: (1) In military service members with high-energy open forearm fractures, what proportion achieved primary or secondary union? (2) What is the pronation-supination arc of motion as stratified by the presence or absence of heterotopic ossification (HO) and synostosis? (3) What are the risks of heterotopic ossification and synostosis? (4) What factors may be associated with forearm fracture nonunion? METHODS: A retrospective study of all open forearm fractures treated at a tertiary military referral center from January 2004 to December 2014 was performed. In all, 76 patients were identified and three were excluded, leaving 73 patients for inclusion. All 73 patients had serial radiographs to assess for HO and union. Only 64 patients had rotational range of motion (ROM) data. All patients returned to the operating room at least once after initial irrigation and débridement to ensure the soft tissue envelope was stable before definitive fixation. The indication for repeat irrigation and débridement was determined by clinical appearance. Patient demographics, fracture and soft tissue injury patterns, surgical treatments, neurovascular status at the time of injury, incidence of infection, heterotopic ossification (defined as the presence of heterotopic bone visible on serial radiographs), radioulnar synostosis, bony status after initial definitive treatment (union, nonunion, or amputation), and forearm rotation at final followup were retrospectively obtained from chart review by someone other than the operating surgeon. Seventy-six open forearm fractures in 76 patients were reviewed; 73 patients were examined for osseous union as three went on to early amputation, and 64 patients had forearm ROM data available for ...