Smoking as a Risk Factor for Readmission in Arthroscopic Surgery: A Propensity Matched Analysis.

The objective of this study was to perform a propensity matched analysis exploring smoking as a risk factor for readmission following hip, knee and shoulder arthroscopy. Patients undergoing knee, shoulder or hip arthroscopy between 2006-2016 were identified in the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP). Patient's smoking was analyzed for its effect on 30-day readmission using multivariate regression adjusting for demographics and comorbidities. A propensity matched analysis control identified 19,732 non-smokers to serve as the control group. The readmission rate for the non-smoking cohort was 0.9% and 1.3% in the smoking group (p = 0.01). In a multivariate analysis adjusting for baseline characteristics and medical comorbidities, smoking status was associated with increased risk readmission (Odds Ratio: 1.37 [95% Confidence Interval: 1.133-1.657] p = 0.0012). This study suggests that smoking increases chances of readmission in all arthroscopic surgery. (Journal of Surgical Orthopaedic Advances 28(4):272-276, 2019).

Injury Risk in Collegiate Football Players With Generalized Joint Hypermobility: A Prospective Cohort Study Over 2 Years.

Background: Generalized joint hypermobility (GJH) has been identified as a risk factor for injury in various athletic patient populations. Purpose: To evaluate GJH as a predisposing risk factor for injury in a population of National Collegiate Athletic Association (NCAA) Division I football players. Study Design: Cohort study; Level of evidence, 2. Methods: The Beighton score was collected for 73 athletes during their preseason physical examinations in 2019. GJH was defined as a Beighton score ≥4. Athlete descriptive characteristics, including age, height, weight, and playing position, were recorded. The cohort was evaluated prospectively for 2 years, and the number of musculoskeletal issues, injuries, treatment episodes, days unavailable, and surgical procedures for each athlete during this period were recorded. These measures were compared between the GJH and no-GJH groups. Results: The mean Beighton score was 1.4 ± 1.5 for the 73 players; 7 players (9.6%) had a Beighton score indicating GJH. During the 2-year evaluation, there were 438 musculoskeletal issues, including 289 injuries. The mean number of treatment episodes per athlete was 77 ± 71 (range, 0-340), and the mean number of days unavailable was 67 ± 92 days (range, 0-432 days). There were 23 athletes who required 25 operations, the most common procedure being arthroscopic shoulder stabilization (n = 6). The number of injuries per athlete was not significantly different between the GJH and no-GJH groups (3.0 ± 2.1 vs 4.1 ± 3.0; P = .13), nor were there any between-group differences in the number of treatments received (74.6 ± 81.9 vs 77.2 ± 71.5; P = .47), days unavailable (79.6 ± 124.5 vs 65.3 ± 89.3; P = .61), or rates of surgery (43% vs 30%; P = .67). Conclusion: A preseason diagnosis of GJH did not place NCAA football players at a greater risk for injury during the 2-year study period. Based on the findings of this study, no specific preparticipation risk counseling or intervention is warranted for football players who are diagnosed with GJH as defined by the Beighton score.