Among patients who received 5 days of rivaroxaban prophylaxis after total hip or total knee arthroplasty, extended prophylaxis with aspirin was not significantly different from rivaroxaban in the prevention of symptomatic venous thromboembolism. (Funded by the Canadian Institutes of Health Research; ClinicalTrials.gov number, NCT01720108 .).

Background: The Carpentier-Edwards Perimount valves have a proven track record in aortic valve replacement: good durability, hemodynamic performance, rates of survival, and low rates of valve-related complications and prosthesis-patient mismatch. The St. Jude Medical Trifecta is a newer valve that has shown comparable early and midterm outcomes. Studies show reoperation rates of Trifecta are comparable with Perimount valves, with a few recent studies bringing into focus early structural valve deterioration (SVD), and increased midterm SVD in younger patients. Given that midterm data for Trifecta is still sparse, we wanted to confirm the early low reoperation rates of Trifecta persist over time compared with Perimount. Methods: The Maritime Heart Centre Database was searched for AVR between 2011 and 2016, inclusive. The primary endpoint of the study was all-cause reoperation rate. Results: In total, 711 Perimount and 453 Trifecta implantations were included. The reoperation hazards were determined for age: 0.96 (0.92-0.99; p = .02), female (vs. male): 0.35 (0.08-1.53; p = .16), smoker (vs. nonsmoker): 2.44 (0.85-7.02; p = .1), and Trifecta (vs. Perimount): 2.68 (0.97-7.39; p = .06). Kaplan-Meier survival analysis in subgroups-age <60, age ≥60, male, female, smoker, and nonsmokershowed Perimount having lower reoperation rates than Trifecta in patients younger than 60 (p = .02) and current smokers (p < .01). Conclusions: The rates of reoperation of Perimount and Trifecta were comparable, with Trifecta showing higher rates in patients younger than 60 years, and current smokers. Continued diligence and further independent reporting of midterm reoperation and SVD rates of the Trifecta, including detailed echocardiographic follow-up, are needed to confirm these findings.

Background Patient‐prosthesis mismatch (PPM) has been identified as a risk factor for mortality and reoperation in patients undergoing surgical aortic valve replacement (SAVR). We present a retrospective analysis of risk factors for PPM and the effects of PPM on early postoperative outcomes after SAVR. Methods Chart review was conducted for patients (N = 3003) undergoing SAVR. PPM was calculated from valve reference orifice areas and patient body surface area. Logistic regression was used to analyze risk factors for PPM and develop a risk score from these results. Regression was also conducted to identify associations between projected PPM status and postoperative outcomes. Results Risk factors for PPM included female sex, higher body mass index (BMI), and use of the St. Jude Epic valve. Patients receiving St. Jude trifecta valves or mechanical valves were less likely to have predicted PPM. We developed a risk score using BMI, sex, and valve type, and retrospectively predicted PPM in our cohort. Mild PPM (odds ratio [OR] = 2.267), severe PPM (OR = 2.869), male sex (OR = 2.091), and younger age (OR = 0.940) were all predictors of SAVR reoperation, while aortic root replacement was associated with reduced reoperation rates (OR = 0.122). Severe PPM carried a risk of in‐hospital mortality (OR = 3.599), and moderate PPM carried a smaller but significant risk (OR = 1.920). Other factors increasing postoperative morbidity and mortality included older age, renal failure, and diabetes. Conclusion PPM could be retrospectively predicted in our cohort using a risk calculation from sex, BMI and valve type. We conclude that all degrees of PPM carry risk for mortality and reoperation.

BACKGROUND: Phlebotomy for diagnostic testing is among the commonest hospital procedures, but hospitalwide surveys of all inpatients characterizing blood draw volumes have not been published. The objectives were to characterize the daily blood volumes drawn for diagnostic testing from patients discharged from a Canadian tertiary care center, describe the daily distributions of phlebotomy volumes across service locations, and describe changes in hemoglobin (Hb) and transfusion across service locations. STUDY DESIGN AND METHODS: Data wereobtained on all patients discharged between 2012 and 2014 using linked discharge abstract and laboratory data. Cumulative daily blood volume and draw frequency were reported by service and days since admission. Changes in Hb and red blood cell (RBC) transfusion rates were reported for nontransfused and transfused patients.RESULTS: Data were included on 59,715 subjects.Mean daily estimated blood loss varied from 8.5 AE 6.5 mL/day onward to 27.2 AE 20.0 mL/day in the intensive care unit (ICU; p < 0.001). Phlebotomy volumes were highest on the first day of admission and declined thereafter (p < 0.001). For nontransfused individuals in the first week of admission, Hb levels decreased by the highest percentage in the ICU. The rate of RBC unit transfusion was highest in the ICU (232.4 units/1000 patient-days; 95% confidence interval, 225.8-239.2; p < 0.0001 compared with all other locations). CONCLUSION:Considerable variation was observed in estimated blood loss due to diagnostic phlebotomy across different services within one teaching hospital. Thi information is foundational for planning interventions to minimize estimated blood loss from phlebotomy.ABBREVIATIONS: AMI = acute myocardial infarction; ICU = intensive care unit; IMCU(s) = medical intermediate care unit(s);

Background Non-disabling stroke (NDS) and transient ischemic attack (TIA) herald the possibility of future, more debilitating vascular events. Evidence is conflicting about potency of exercise and education in reducing risk factors for second stroke. Methods Three-site, single-blinded, randomized controlled trial with 184 participants <3 months of NDS or TIA (mean age, 65 years; 66% male) randomized to usual care (UC) or UC + 12-week program of exercise and education (PREVENT). Primary (resting systolic blood pressure) and secondary outcomes (diastolic blood pressure [DBPrest], high-density lipoprotein cholesterol [HDL-C], low-density lipoprotein cholesterol [LDL-C], total cholesterol [TC], TC/HDL, triglycerides, fasting glucose, and body mass index) were assessed at baseline, post-intervention, and 6- and 12-month follow-up. Peak oxygen consumption (VO2peak) was measured at baseline, post-intervention, 12-month assessments. Results Significant between-group differences at post-intervention favored PREVENT group over UC: DBPrest (mean difference [MD]: −3.2 mmHg, 95% confidence interval [CI]: −6.3, −.2, P = .04) and LDL-C (MD: −.31 mmol/L, 95% CI: −.42, −.20, P = .02). Trends of improvement in PREVENT group were noted in several variables between baseline and 6-month follow-up but not sustained at 12-month follow-up. Of note, VO2 peak did not change over time in either group. Conclusion Impact of PREVENT on vascular risk factor reduction was more modest than anticipated, possibly because several outcome variables approximated normative values at baseline and training intensity may have been sub-optimal. Further investigation is warranted to determine when exercise and education programs are viable adjuncts to pharmaceutical management for reduction of risk factors for second stroke. Clinical Trial Registration-URL: http://www.clinicaltrials.gov . Unique identifier: #NCT00885456

Introduction: Provincial/territorial cancer registries (PTCRs) are the mainstay for Canadian population-based cancer statistics. Each jurisdiction captures this data in a population-based registry, including the Nova Scotia Cancer Registry (NSCR). The goal of this study was to describe data from the NSCR regarding renal cell carcinoma (RCC) pathology subtype and method of diagnosis and compare it to the actual pathology reports to determine the accuracy of diagnosis and histological subtype assignment. Methods: This retrospective analysis included patients diagnosed with RCC in the NSCR from 2006-2010 with an ICD-O-3 code C64.9 seen or treated in the largest NS health district. From the NSCR, method of diagnosis and pathological diagnosis was recorded. All diagnoses of non-clear-cell RCC (nonccRCC) from NSCR were compared to the actual pathology report for descriptive comparison and reasons for discordance. Results: 723 patients make up the study cohort. 81.3% of patients were diagnosed by nephrectomy, 11.1% radiography, 6.9 % biopsy, and 0.7% autopsy. By NSCR data, 52.8% had clear-cell (ccRCC), 20.5% RCC not otherwise specified (NOS), 12.7% papillary, 4% chromophobe, and the rest had other nonccRCC subtypes. By pathology reports, 69.5% had clear-cell, 15% papillary, 5% chromophobe, only 2.7% RCC NOS. There was a discordance rate of 15.4% between NSCR data and diagnosis from pathology report. Reasons for discordance were not enough information by the pathologist in 45.5%, misinterpretation of report by data coder in 22.2%, and true coding error in 32.3%. Conclusions: When using PTCR for RCC incidence data, it is important to understand how the diagnosis is made, as not all are based on pathological confirmation; in this cohort 11% were based on radiology. One must also be aware that clear-cell and non-clearcell subtypes may differ between the PTCR data and pathology reports. In this study, ccRCC made up 52.8% of the registry diagnoses, but increased to 69.6% on pathology report review. Use of synoptic reporting and ongoing education may improve accuracy of registry data.