Young men in sports are at highest risk of acromioclavicular joint injuries: a prospective cohort study.

PURPOSE: To study the incidence of acromioclavicular joint injuries in a general population. METHODS: All acute shoulder injuries admitted to an orthopaedic emergency department were registered prospectively, using electronic patient records and a patient-reported questionnaire. The regional area was the city of Oslo with 632,990 inhabitants. Patients with symptoms from the acromioclavicular joint without fracture were registered as a dislocation (type II-VI) if the radiologist described widening of the joint space or coracoclavicular distance on standard anteroposterior radiographs. Patients without such findings were diagnosed as sprains (type I). RESULTS: Acromioclavicular joint injuries constituted 11% of all shoulder injuries (287 of 2650). The incidence was 45 per 105 person-years (95% confidence interval [CI] 40-51). 196 (68%) were diagnosed as sprains and 91 (32%) as dislocations. Median age of all acromioclavicular joint injuries was 32 years (interquartile range 24-44), and 82% were men. Thirty percent of all acromioclavicular joint injuries were registered in men in their twenties. Sports injuries accounted for 53%, compared to 27% in other shoulder injuries [OR 3.1 (95% CI 2.4-4.0; p < 0.001)]. The most common sports associated with acromioclavicular joint injuries were football (24%), cycling (16%), martial arts (11%), alpine skiing and snowboarding (both 9%), and ice hockey (6%). CONCLUSION: Our study suggests that in the general population, one in ten shoulder injuries involves the acromioclavicular joint and young men in sports are at highest risk. A prognostic level II cohort study.

Risk factors for symptomatic venous thromboembolism following surgery for closed ankle fractures: A case-control study.

BACKGROUND: We analyzed risk factors for venous thromboembolism (VTE) within 6 months after surgery for closed ankle fractures. METHODS: This was a case-control study based on data from chart review in a cohort of patients having open reduction and internal fixation (ORIF) for closed ankle fractures in two large general hospitals 2009-2011. Cases with symptomatic VTE (pulmonary embolism or deep venous thrombosis) were identified in the cohort, and additional cases of VTE were identified by computerized search of discharge diagnoses in the same hospitals in 2004-2008 and 2012-2016. In total, we identified 60 cases with VTE and compared with 240 randomly selected controls among 998 patients without VTE in the cohort. Risk factors were assessed using logistic regression analysis. RESULTS: Among cases, 27 (45%) had pulmonary embolism, 33 (55%) deep venous thrombosis. Those with VTE were older, had higher BMI, had more often a family history of VTE, and more often had antibiotic prophylaxis during surgery than controls. In multivariable logistic regression analysis age/10 (OR 25.75, 95%CI 3.52-188.44, p=0.001), (age/10)2 (OR 0.77, 95%CI 0.65-0.93, p=0.005), BMI (1.15 per kg/m2, 95%CI 1.07-1.24, p<0.001) and Charlson comorbidity index ≥2 vs.0 (OR 0.27, 95%CI 0.08-0.92, p=0.036) and 1 vs. 0 (OR 0.27, 95%CI 0.09-0.86, p=0.026) were associated with VTE within 6 months of surgery. CONCLUSIONS: The odds of symptomatic VTE within 6 months of ORIF increased with increasing age and BMI, but were lower with increasing comorbidity.

Sports-related acute shoulder injuries in an urban population.

OBJECTIVES: More than a third of sports injuries involve the upper extremity. The primary aim was to quantify and describe sports-related shoulder injuries in a general population cohort. A secondary aim was to compare aspects of these injuries to those that were not sports-related. METHODS: We performed a prospective registration of the activity at the time of shoulder injury in all cases admitted during 1 year in a combined primary care and orthopaedic emergency department serving a defined population. The electronic patient records and patient reported questionnaires were reviewed. RESULTS: Twenty-nine per cent (n=781) of 2650 registered shoulder injuries were reported to be sports-related, with the highest proportion in acromioclavicular injuries (>50%). Patients with sports injuries were younger than those injured during other activities (median age 28 and 43 years, respectively, p<0.001), and more often male (78% and 52%, respectively, p<0.001). There was a strong gender disparity in incidence of sports-related shoulder injuries in adolescents and young adults, which was not observed in non-sports shoulder injuries. Football (soccer) (6-29 years), cycling (30-49 years), skiing (50-69 years) and martial arts were the dominating sports activities. Fractures were more common in skiing and cycling than in other major sports in the study. CONCLUSIONS: Almost a third of the shoulder injuries occurred during sports. The types of sports involved varied with age and gender. The comparison of sport to non-sport shoulder injury incidence rates suggests that the increased risk of shoulder injuries in young males is mainly attributable to sports injuries.

Shoulder injuries from birth to old age: A 1-year prospective study of 3031 shoulder injuries in an urban population.

INTRODUCTION: Shoulder injuries are commonly encountered in emergency departments. In spite of this, the epidemiology is only partly known, and soft tissue injuries in particular remain unclear. The aim of this study was to obtain an overview of shoulder injuries in a general population cohort, and to estimate the relative proportion of the main injury categories soft tissue injuries, fractures and dislocations, as well as their variation with age and gender. PATIENTS AND METHODS: We registered prospectively all patients admitted with a suspected shoulder injury at a combined casualty and primary health care facility during one year. The facility serves all hospitals and all citizens of Oslo. The patient-reported questionnaires, electronic patient records and radiology reports were examined. RESULTS: 3031 shoulder injuries were registered from May 2013 through April 2014. The median age was 37 years (range 14 days-102 years), 51 years in women and 31 years in men (p < 0.001), 60% were male. The male/female shoulder injury incidence rate ratio in the 20-34 years age group was 3.6 (95%CI, 3.0 to 4.3; p < 0.001). Contrary, the female/male rate ratio above 75 years was 2.1 (95%CI, 1.6-2.8; p < 0.001). Almost half of the injuries were soft tissue injuries, 35% were fractures and 17% were dislocations. The age-stratified incidence rates differed substantially in men and women. Fractures dominated in children up to 10 years and in adults over 60 years, soft tissue injuries in the ages between. The highest dislocation incidence rates were found in young males. A rotator cuff tear was diagnosed in 4% of the injuries. CONCLUSION: Which shoulder structures that are affected by injury vary substantially with age and gender. The shoulder injury incidence rates of young men and the elderly are high. The findings are important for the understanding of the shoulder and the diagnostic process in A&Es.

Charlson comorbidity index derived from chart review or administrative data: agreement and prediction of mortality in intensive care patients.

PURPOSE: This study compared the Charlson comorbidity index (CCI) information derived from chart review and administrative systems to assess the completeness and agreement between scores, evaluate the capacity to predict 30-day and 1-year mortality in intensive care unit (ICU) patients, and compare the predictive capacity with that of the Simplified Acute Physiology Score (SAPS) II model. PATIENTS AND METHODS: Using data from 959 patients admitted to a general ICU in a Norwegian university hospital from 2007 to 2009, we compared the CCI score derived from chart review and administrative systems. Agreement was assessed using % agreement, kappa, and weighted kappa. The capacity to predict 30-day and 1-year mortality was assessed using logistic regression, model discrimination with the c-statistic, and calibration with a goodness-of-fit statistic. RESULTS: The CCI was complete (n=959) when calculated from chart review, but less complete from administrative data (n=839). Agreement was good, with a weighted kappa of 0.667 (95% confidence interval: 0.596-0.714). The c-statistics for categorized CCI scores from charts and administrative data were similar in the model that included age, sex, and type of admission: 0.755 and 0.743 for 30-day mortality, respectively, and 0.783 and 0.775, respectively, for 1-year mortality. Goodness-of-fit statistics supported the model fit. CONCLUSION: The CCI scores from chart review and administrative data showed good agreement and predicted 30-day and 1-year mortality in ICU patients. CCI combined with age, sex, and type of admission predicted mortality almost as well as the physiology-based SAPS II.

Factors associated with life-sustaining treatment restriction in a general intensive care unit.

PURPOSE: Few previous studies have investigated associations between clinical variables available after 24 hours in the intensive care unit (ICU), including the Charlson Comorbidity Index (CCI), and decisions to restrict life-sustaining treatment. The aim of this study was to identify factors associated with the life-sustaining treatment restriction and to explore if CCI contributes to explaining decisions to restrict life-sustaining treatment in the ICU at a university hospital in Norway from 2007 to 2009. METHODS: Patients' Simplified Acute Physiology Score II (SAPS II), age, sex, type of admission, and length of hospital stay prior to being admitted to the unit were recorded. We retrospectively registered the CCI for all patients based on the medical records prior to the index stay. A multivariable logistic regression analysis was used to assess factors associated with treatment restriction during the ICU stay. RESULTS: We included 936 patients, comprising 685 (73%) medical, 204 (22%) unscheduled and 47 (5%) scheduled surgical patients. Treatment restriction was experienced by 241 (26%) patients during their ICU stay. The variables that were significantly associated with treatment restriction in multivariable analysis were older age (odds ratio [OR] = 1.48 per 10 years, 95% confidence interval [CI] = 1.28-1.72 per 10 years), higher SAPS II (OR = 1.05, 95% CI = 1.04-1.07) and CCI values relative to the reference of CCI = 0: CCI = 2 (OR = 2.08, 95% CI = 1.20-3.61) and CCI≥3 (OR = 2.72, 95% CI = 1.65-4.47). CONCLUSIONS: In multivariable analysis, older age, greater illness severity after 24 h in the ICU and greater comorbidity at hospital admission were independently associated with subsequent life-sustaining treatment restriction. The CCI score contributed additional information independent of the SAPS II illness severity rating.