New records of rove beetles from the Province of Quebec, and additional provincial records in Canada (Coleoptera, Staphylinidae).

We newly report 25 provincial records of rove beetles (Coleoptera: Staphylinidae) from the province of Quebec from the following subfamilies: Steninae (1), Euaesthetinae (1), Omaliinae (2), Oxyporinae (1), Paederinae (1), Proteininae (1), Pselaphinae (2), Scaphidiinae (2), Scydmaeninae (2), Staphylininae (11) and Tachyporinae (1). Among these, two species are also reported for the first time from Ontario, two from Nova Scotia, and five are new Canadian records. We also report the first supporting data for Suniusmelanocephalus (Fabricius, 1792) and Scopaeusminutus Erichson, 1840 for Quebec, and of Arpediumschwarzi Fauvel, 1878, Phyllodrepapunctiventris (Fauvel, 1878), and Sepedophilusbasalis (Erichson, 1839) for Ontario. Specimen data and diagnoses are provided for each species, as well as references for identification where available.

Total Hip Arthroplasty: Direct Anterior Approach Versus Posterior Approach in the First Year of Practice.

Background: The direct anterior approach (DAA) for total hip arthroplasty (THA) has been popularized as a less invasive technique, however outcomes within the first year of practice after fellowship have not been investigated. The primary aim was to determine differences in complications and outcomes between DAA and posterior approach (PA) in the first year of practice. The secondary aim was to determine if there was a learning curve factor in DAA and PA after fellowship training. Methods: THA cases performed by two surgeons during their first year of practice were reviewed. Overall, 181 THAs (91 DAA, 90 PA) in 168 patients, were performed. Intraoperative differences (blood loss, operative time), hospital stay, complications, reoperations, and revisions were compared. Results: Overall surgical complications were similar between DAA and PA (11% vs. 9%, p=0.64), but complication profiles were different: dislocation (1% vs. 4%, p=0.17), intraoperative femoral fracture (2% vs. 1%, p=0.32), postoperative periprosthetic fractures (2% vs. 3%, p=0.64). neuropraxia (3% vs. 0%, p=0.08). There was no difference in rate of reoperation (1% vs. 3%, p=0.31). There was a difference in rate of revision at final follow-up (0% vs. 6%, p=0.02). DAA consisted of longer operative time (111 vs. 99 minutes; p<0.001), however was only significant in the first 50 cases (p<0.001), while the subsequent cases were similar (p=0.31). There was no difference in the first 50 cases compared to the subsequent cases for either approach regarding blood loss, complications, reoperations, or revisions. Conclusion: DAA and PA for THA performed within the first year of practice exhibit similarly low complication rates, but complication profiles are different. In our series, PA did demonstrate a higher risk of revision at final follow-up. A learning curve is not unique to the DAA. Both DAA and PA THA exhibited a learning curve in the first 50 cases performed at the start of a surgeon's practice. Level of Evidence: III.

Preoperative Opioid Usage, Male Sex, and Preexisting Knee Osteoarthritis Impacts Opioid Refills After Isolated Arthroscopic Meniscectomy: A Population-Based Study.

PURPOSE: To identify risk factors for opioid consumption after arthroscopic meniscectomy using a large national database. METHODS: Patients undergoing primary arthroscopic meniscectomy from 2007 to 2016 were retrospectively accessed from the Humana database. Patients were categorized as those who filled opioid prescriptions within 3 months (OU), within 1 month (A-OU), between 1 and 3 months (C-OU), and never filled opioid prescriptions (N-OU) before surgery. Rates of opioid use were evaluated preoperatively and longitudinally tracked for each cohort. Prolonged opioid use was defined as continued opioid prescription filling at ≥3 months after surgery. Multiple logistic regression analysis was used to identify factors associated with opioid refills at 12 months after surgery. RESULTS: There were 88,120 patients (53.7% female) who underwent arthroscopic meniscectomy, of whom 46.1% (n = 39,078) were N-OU. About a quarter (25.3%) of patients continued filling opioid prescriptions at 1 year postoperatively. In addition, opioid fill rate at 1 year was significantly greater in the OU group compared with the N-OU group with a relative risk of 2.89 (40.7% vs 14.1%; 95% confidence interval 2.81-2.98; P < .0001). Multiple logistic regression model identified C-OU (odds ratio 3.67; 95% confidence interval 3.53-3.82; P < .0001) as the strongest predictor of opioid use at 12 months postoperatively. Furthermore, male sex, A-OU, knee osteoarthritis, diabetes mellitus, hypertension, chronic obstructive pulmonary disease, fibromyalgia, anxiety or depression, alcohol use disorder, and tobacco use (P < .02 for all) had significantly increased odds of opioid use at 12 months postoperatively. However, patients <40 years (P < .0001) had significantly decreased odds of opioid use 12 months postoperatively. CONCLUSIONS: Preoperative opioid filling is a significant risk factor for opioid use at 12 months postoperatively. Male sex, preexisting knee osteoarthritis, and diagnosis of anxiety or depression were independent risk factors for opioid use 12 months following arthroscopic meniscectomy. LEVEL OF EVIDENCE: Level-III, Retrospective Cohort Study.

Medicare's Hospital-Acquired Conditions Policy: A Problem of Nonpayment After Total Joint Arthroplasty.

BACKGROUND: Total joint arthroplasty (TJA) utilization continues to increase, and optimizing efficiency while reducing complications is critical to provide a sustainable product. Recent policy has defined several hospital-acquired conditions (HACs) that are the target of reducing complications with significant financial implications. The present study defines the incidence of HACs after TJA as well as patient and hospital factors associated with HACs. METHODS: The National Inpatient Sample (NIS) was used to identify all patients from 2009 to 2011 undergoing elective total hip or knee arthroplasty. Patient demographics, comorbidities, and hospital characteristics were obtained from the database, and HACs defined according to established International Classification of Diseases, Ninth Revision, Clinical Modification criteria. The incidence of HACs after TJA was calculated, as were demographic factors and preadmission comorbidities associated with HACs using bivariate and multivariable analysis. RESULTS: The overall incidence of HACs after TJA was 1.3%. Several patient and hospital factors, including increased age, female gender, black race, medium hospital bed size, year of surgery, and Charlson Comorbidity Index ≥1, independently predicted development of a HAC. When evaluating the financial impact of the development of a HAC after TJA, more than 200 million dollars in hospital costs would be lost during the inclusive years of this study, equating to nearly 70 million dollars annually. CONCLUSION: The incidence of HACs after TJA is 1.3%. Many of the patient factors associated with HACs are nonmodifiable, and risk adjustment should be considered to provide a sustainable product to a diverse patient population.