Mortality After Multivessel Revascularization in Patients With Diabetes and Acute Coronary Syndromes.

Background: The optimal revascularization strategy in patients with diabetes and multivessel disease in the setting of a non-ST-segment elevation myocardial infarction (NSTEMI) is unknown. Objectives: The purpose of this study was to compare all-cause mortality between coronary artery bypass grafting (CABG) and multivessel percutaneous coronary intervention (PCI) among patients with diabetes and NSTEMI. Methods: All patients with diabetes and multivessel disease admitted for NSTEMI in Ontario, Canada, between April 2009 and March 2020 were included. Those with previous CABG, PCI in the previous 90 days, or shock were excluded. The primary outcome was all-cause mortality. Propensity score matching was used to account for confounding. Patients who had a cardiac surgeon consultation and then received PCI were classified as being potentially ineligible for CABG. Results: The cohort included 4,649 CABG and 6,760 PCI patients (mean age: 67.8 ± 11.5 years; 70.4% males), resulting in 2,385 matched pairs. CABG was associated with reduced all-cause mortality compared to PCI over a median follow-up of 5.5 years (5-year estimates: 23.4% vs 26.5%; HR: 0.89; 95% CI: 0.80-0.98; P = 0.021). However, no significant differences in mortality were observed between CABG and PCI patients without a surgical consultation (2,130 pairs; HR: 0.97; 95% CI: 0.86-1.08), while CABG was associated with reduced mortality when compared against PCI patients who had received a surgical consultation (388 pairs; HR: 0.72; 95% CI: 0.58-0.88; P = 0.002). Conclusions: While CABG was associated with reduced all-cause mortality compared to multivessel PCI in patients with diabetes and NSTEMI, CABG benefit was seen only against PCI patients potentially ineligible for CABG after receiving a preprocedure surgical consultation.

Association Between Neighborhood-Level Income and the Incidence of Cardiovascular Events Varies by Immigration Status: A Population-Based Cohort Study.

BACKGROUND: Neighborhood-level income is inversely associated with cardiovascular events; however, it is uncertain whether this association varies with immigration status. METHODS AND RESULTS: We conducted a population-based cohort study of 5.2 million (53% women, 19% immigrants) urban-dwelling people aged ≥40 years without a prior history of cardiovascular disease in Ontario, Canada. Neighborhood-level income was measured in quintiles from quintile 1 (lowest) to quintile 5 (highest), and immigrants were defined as those born outside of Canada who moved to Canada after 1985. We estimated the association between neighborhood-level income and the rate of incident cardiovascular events (hospitalization for stroke or myocardial infarction, or cardiovascular death) using multivariable cause-specific hazards models and added an interaction term to see if the association varies by immigration status. The absolute difference in the rate of cardiovascular events across income quintiles was less pronounced in immigrants than in long-term residents: age- and sex-adjusted rate per 1000 person-years in quintile 1 versus quintile 5: 5.69 versus 4.10 in immigrants and 8.37 versus 5.87 in long-term residents. In adjusted models, the interaction between immigration status and neighborhoodl evel was significant (Pinteraction <0.001). The hazard of cardiovascular events declined with increasing income among long-term residents (hazard ratio [HR]Q1vsQ5, 1.46 to HRQ4vsQ5, 1.10) and immigrants, albeit with a smaller gradient (HRQ1vsQ5, 1.43 to HRQ4vsQ5, 1.20). CONCLUSIONS: The association between neighborhood-level income and cardiovascular disease incidence varies by immigration status. Understanding the social and structural factors associated with residing in low-income neighborhoods can help with the development of prevention programs that improve health for all.

Rising out-of-hospital mortality in Canada during 2020‒2022: A striking impact observed among young adults.

OBJECTIVE: Out-of-hospital mortality rates surged during the early COVID-19 pandemic. While expecting a return to pre-pandemic levels, the evolving patterns of out-of-hospital mortality in Canada remain uncertain. We investigated whether these rates returned to pre-pandemic levels. METHODS: This retrospective study, employing linked administrative data, analyzed out-of-hospital mortality trends among adult residents in Ontario, Alberta, and Nova Scotia. Interrupted time series analysis assessed trends in age- and sex-standardized rates/100,000/quarter during pre-pandemic (April 2014-March 2020) and pandemic periods (April 2020-March 2022), while considering April to June 2020 as the pandemic onset period. Crude mortality rates were also examined, stratified by sex and age groups. RESULTS: Pre-pandemic, Ontario's standardized out-of-hospital mortality rates were rising, while Alberta's and Nova Scotia's remained stable. At the pandemic onset, all provinces experienced significant increases in standardized out-of-hospital mortality rates/100,000 (Ontario: ß 14.6, 95% CI [3.97, 25.22]; Alberta: 21.3, 95% CI [9.26, 33.34]; Nova Scotia: 10.5, 95% CI [1.06, 19.88]). During the pandemic, standardized out-of-hospital mortality rates/100,000/quarter remained above pre-pandemic levels, with no significant departure from the increased pandemic onset levels (Ontario: - 1.6, 95% CI [- 3.63, 0.52]; Alberta: 0.45, 95% CI [- 1.47, 2.36]; Nova Scotia: - 0.06, 95% CI [- 2.18, 2.06]). Crude out-of-hospital mortality rates increased most prominently among individuals aged 18 to 45 in Alberta and Ontario, and among males across all provinces. CONCLUSION: The sustained increase in out-of-hospital mortality, observed from the pandemic's onset, spanning more than 2 years, potentially suggests its persistent direct and indirect effects on population health in Canada.

RéSUMé: OBJECTIF: Les taux de mortalité non hospitalière ont bondi au début de la pandémie de COVID-19. Bien qu'un retour aux niveaux prépandémiques soit attendu, l'évolution des tendances de la mortalité non hospitalière au Canada demeure incertaine. Nous avons cherché à savoir si ces taux sont retournés à leurs niveaux prépandémiques. MéTHODE: Dans le cadre d'une étude rétrospective faisant appel à des données administratives liées, nous avons analysé les tendances de la mortalité non hospitalière chez les adultes vivant en Ontario, en Alberta et en Nouvelle-Écosse. Une analyse des séries chronologiques interrompues a permis d'estimer les tendances des taux normalisés selon l'âge et le sexe pour 100 000 par trimestre pendant la période prépandémique (avril 2014 ­ mars 2020) et pendant la pandémie (avril 2020 ­ mars 2022), la période d'avril à juin 2020 étant considérée comme le début de la pandémie. Les taux de mortalité brute ont aussi été examinés, puis stratifiés selon l'âge et le sexe. RéSULTATS: Avant la pandémie, les taux de mortalité non hospitalière normalisée de l'Ontario étaient en hausse, tandis que ceux de l'Alberta et de la Nouvelle-Écosse étaient stables. Au début de la pandémie, les trois provinces ont connu d'importantes augmentations des taux de mortalité non hospitalière normalisée pour 100 000 (Ontario: ß 14,6, IC de 95% [3,97, 25,22]; Alberta: 21,3, IC de 95% [9,26, 33,34]; Nouvelle-Écosse: 10,5, IC de 95% [1,06, 19,88]). Pendant la pandémie, les taux de mortalité non hospitalière normalisée pour 100 000 par trimestre sont demeurés au-dessus des niveaux prépandémiques, sans écart significatif par rapport aux niveaux accrus du début de la pandémie (Ontario: -1,6, IC de 95% [-3,63, 0,52]; Alberta: 0,45, IC de 95% [-1,47, 2,36]; Nouvelle-Écosse: -0,06, IC de 95% [-2,18, 2,06]). Les taux de mortalité non hospitalière brute ont surtout augmenté chez les personnes de 18 à 45 ans en Alberta et en Ontario, et chez les hommes dans les trois provinces. CONCLUSION: L'augmentation soutenue de la mortalité non hospitalière, observée dès le début de la pandémie et étalée sur plus de deux ans, pourrait indiquer que celle-ci a eu des effets directs et indirects persistants sur la santé des populations au Canada.

Propensity Score Analysis With Baseline and Follow-Up Measurements of the Outcome Variable.

A common feature in cohort studies is when there is a baseline measurement of the continuous follow-up or outcome variable. Common examples include baseline measurements of physiological characteristics such as blood pressure or heart rate in studies where the outcome is post-baseline measurement of the same variable. Methods incorporating the propensity score are increasingly being used to estimate the effects of treatments using observational studies. We examined six methods for incorporating the baseline value of the follow-up variable when using propensity score matching or weighting. These methods differed according to whether the baseline value of the follow-up variable was included or excluded from the propensity score model, whether subsequent regression adjustment was conducted in the matched or weighted sample to adjust for the baseline value of the follow-up variable, and whether the analysis estimated the effect of treatment on the follow-up variable or on the change from baseline. We used Monte Carlo simulations with 750 scenarios. While no analytic method had uniformly superior performance, we provide the following recommendations: first, when using weighting and the ATE is the target estimand, use an augmented inverse probability weighted estimator or include the baseline value of the follow-up variable in the propensity score model and subsequently adjust for the baseline value of the follow-up variable in a regression model. Second, when the ATT is the target estimand, regardless of whether using weighting or matching, analyze change from baseline using a propensity score that excludes the baseline value of the follow-up variable.

Effectiveness of modified vaccinia Ankara-Bavarian Nordic vaccine against mpox infection: emulation of a target trial.

OBJECTIVE: To estimate the real world effectiveness of modified vaccinia Ankara-Bavarian Nordic (MVA-BN) vaccine against mpox infection. DESIGN: Emulation of a target trial. SETTING: Linked databases in Ontario, Canada. PARTICIPANTS: 9803 men aged ≥18 years with a history of being tested for syphilis and a laboratory confirmed bacterial sexually transmitted infection (STI) in the previous year, or who filled a prescription for HIV pre-exposure prophylaxis in the previous year. On each day between 12 June 2022 and 27 October 2022, those who had been vaccinated 15 days previously were matched 1:1 with unvaccinated men by age, geographical region, past HIV diagnosis, number of bacterial STI diagnoses in the previous three years, and receipt of any non-MVA-BN vaccine in the previous year. MAIN OUTCOME MEASURE: The main outcome measure was vaccine effectiveness ((1-hazard ratio)×100) of one dose of subcutaneously administered MVA-BN against laboratory confirmed mpox infection. A Cox proportional hazards model was used to estimate hazard ratios to compare the rate of laboratory confirmed mpox between the two groups. RESULTS: 3204 men who received the vaccine were matched to 3204 unvaccinated controls. A total of 71 mpox infections were diagnosed, with 0.09 per 1000 person days (95% confidence interval (CI) 0.05 to 0.13) in the vaccinated group and 0.20 per 1000 person days (0.15 to 0.27) in the unvaccinated group over the study period of 153 days. Estimated vaccine effectiveness of one dose of MVA-BN against mpox infection was 58% (95% CI 31% to 75%). CONCLUSION: The findings of this study, conducted in the context of a targeted vaccination programme and evolving outbreak of mpox, suggest that one dose of MVA-BN is moderately effective in preventing mpox infection.

An Interrupted Time-Series Analysis of the Impact of COVID-19 on Hospitalizations for Vascular Events in 3 Canadian Provinces.

Background: COVID-19 infection is associated with a pro-coagulable state, thrombosis, and cardiovascular events. However, its impact on population-based rates of vascular events is less well understood. We studied temporal trends in hospitalizations for stroke and myocardial infarction in 3 Canadian provinces (Alberta, Ontario, and Nova Scotia) between 2014 and 2022. Methods: Linked administrative data from each province were used to identify admissions for ischemic stroke, intracerebral hemorrhage, cerebral venous thrombosis, and myocardial infarction. Event rates per 100,000/quarter, standardized to the 2016 Canadian population, were calculated. We assessed changes from quarterly rates pre-pandemic (2014-2020), compared to rates in the pandemic period (2020-2022), using interrupted time-series analysis with a jump discontinuity at pandemic onset. Age group- and sex-stratified analyses also were performed. Results: We identified 162,497 strokes and 243,182 myocardial infarctions. At pandemic onset, no significant step change in strokesper 100,000/quarter was observed in any of the 3 provinces. During the pandemic, stroke rates were stable in Alberta and Ontario, but they increased in Nova Scotia (0.44 per 100,000/quarter, P = 0.004). At pandemic onset, a significant step decrease occurred in myocardial infarctions per 100,000/quarter in Alberta (4.72, P < 0.001) and Ontario (4.84, P < 0.001), but not in Nova Scotia. During the pandemic, myocardial infarctions per 100,000/quarter decreased in Alberta (-0.34, P = 0.01), but they remained stable in Ontario and Nova Scotia. No consistent patterns by age group or sex were noted. Conclusions: Hospitalization rates for stroke or myocardial infarction across 3 Canadian provinces did not increase substantially during the first 2 years of the pandemic. Continued surveillance is warranted as the virus becomes endemic.

Contexte: L'infection par la COVID-19 est associée à un état procoagulant, à la thrombose et à des événements cardiovasculaires. Son incidence sur les taux d'événements vasculaires dans la population est cependant moins bien comprise. Nous avons étudié les tendances temporelles des hospitalisations pour un accident vasculaire cérébral (AVC) et un infarctus du myocarde dans trois provinces canadiennes (Alberta, Ontario et Nouvelle-Écosse) entre 2014 et 2022. Méthodologie: Des données administratives couplées provenant de chaque province ont été utilisées pour recenser les hospitalisations pour un AVC ischémique, une hémorragie intracérébrale, une thrombose veineuse cérébrale et un infarctus du myocarde. Nous avons calculé les taux d'événements pour 100 000 admissions/trimestre, uniformisés pour correspondre à la population canadienne de 2016. Nous avons évalué les variations par rapport aux taux trimestriels d'avant la pandémie (2014-2020), comparativement aux taux pendant la pandémie (2020-2022), à l'aide d'une analyse de séries chronologiques interrompues avec discontinuité à saut fini au début de la pandémie. Des analyses stratifiées selon le groupe d'âge et le sexe ont également été réalisées. Résultats: Nous avons recensé 162 497 AVC et 243 182 infarctus du myocarde. Au début de la pandémie, aucune variation progressive significative au niveau des AVC pour 100 000 admissions/trimestre n'a été observée dans aucune des trois provinces. Pendant la pandémie, les taux d'AVC sont demeurés stables en Alberta et en Ontario, mais ont augmenté en Nouvelle-Écosse (0,44 pour 100 000 admissions/trimestre; p = 0,004). Au début de la pandémie, une diminution graduelle significative du taux d'infarctus du myocarde pour 100 000 admissions/trimestre a été observée en Alberta (4,72; p < 0,001) et en Ontario (4,84; p < 0,001), mais pas en Nouvelle-Écosse. Durant la pandémie, le taux d'infarctus du myocarde pour 100 000 admissions/trimestre a diminué en Alberta (­0,34; p = 0,01), mais est demeuré stable en Ontario et en Nouvelle-Écosse. Aucune tendance constante n'a été observée selon le groupe d'âge ou le sexe. Conclusions: Les taux d'hospitalisation pour un AVC ou un infarctus du myocarde n'ont pas augmenté de manière substantielle dans les trois provinces canadiennes durant les deux premières années de la pandémie. Une surveillance continue s'impose alors que le virus devient endémique.

Apixaban vs rivaroxaban in patients with atrial fibrillation at high or low bleeding risk: A population-based cohort study.

BACKGROUND: Despite many atrial fibrillation (AF) patients being at risk of bleeding, very limited data are available on bleeding rates of different direct oral anticoagulants based on the spectrum of bleeding risk. OBJECTIVE: We aimed to compare the risk of major bleeding and thromboembolic events with apixaban vs rivaroxaban for AF patients stratified by bleeding risk. METHODS: We conducted a population-based, retrospective cohort study of all adult patients (66 years or older) with AF in Ontario, Canada, who were treated with apixaban or rivaroxaban between April 1, 2011, and March 31, 2020. Bleeding risk was estimated by the HAS-BLED score, with high bleeding risk defined as a score of ≥3. The primary safety outcome was major bleeding, and the primary efficacy outcome was thromboembolic events. Comparisons were adjusted for baseline comorbidities by inverse probability of treatment weighting. RESULTS: This study included 18,156 AF patients with high bleeding risk and 55,186 AF patients with low bleeding risk. Apixaban use was more common in patients with high bleeding risk; 63% of high-risk patients used apixaban compared with 56% of low-risk patients. Apixaban users had lower rates of major bleeding in high-risk patients (2.9% vs 4.2% per year; hazard ratio [HR], 0.69; 95% CI, 0.58-0.81) and in low-risk patients (1.8% vs 2.9% per year; HR, 0.63; 95% CI, 0.56-0.70) compared with rivaroxaban. There were no differences in rates of thromboembolic events, 3.1% vs 3.0% per year (HR, 1.02; 95% CI, 0.86-1.22) in high-risk patients and 1.9% vs 1.9% per year (HR, 1.00; 95% CI, 0.89-1.14) in low-risk patients. CONCLUSION: In older AF patients with high or low bleeding risk, treatment with apixaban was associated with lower rates of major bleeding with no difference in risk for thromboembolic events compared with rivaroxaban.

Comparative Safety Analysis of Nabilone Versus Opioids: A Population-Based Cohort Study.

BACKGROUND: Some have advocated that nabilone be used rather than opioids to manage chronic, noncancer pain, since the former drug may have a better safety profile. OBJECTIVE: We compared the safety of incident nabilone use relative to incident opioid use with respect to multiple clinically important outcomes. DESIGN: A population-based, retrospective cohort study. SETTING: Province of Ontario, Canada. PARTICIPANTS: Persons aged 12 years and older, diagnosed with a musculoskeletal condition within the past 3 years prior to the index date. EXPOSURES: Incident nabilone use, with incident opioid use serving as the reference group. MEASUREMENTS: Within 3 months following the index date, we separately evaluated for pneumonia, motor vehicle accidents, falls or fractures, mental and behavioral disorder due to psychoactive substance use, and all-cause mortality. RESULTS: A total of 18,863 incident nabilone users were propensity score matched to an equal number of opioid users. In the overall matched analysis, incident nabilone users vs. incident opioid users had significantly lower rates of pneumonia (hazard ratio [HR] 0.78, 95% CI 0.63-0.96), falls or fractures (HR 0.56, 95% CI 0.50-0.64), and all-cause mortality (HR 0.79, 95% CI 0.65-0.95), but significantly higher rate of mental or behavioral disorder (HR 2.23, 95% CI 1.45-3.43). There was no significant difference between groups with respect to rate of motor vehicle accidents. LIMITATIONS: Unmeasured confounding may have influenced results. CONCLUSIONS: While usage of nabilone relative to opioids was associated with reduced rates of pneumonia, falls or fractures, and all-cause mortality, it was simultaneously associated with an increased rate of adverse mental health outcomes. This picture of mixed safety results raises concerns with the policy approach of broadly substituting use of opioids with nabilone. FUNDING SOURCE: Ontario Ministry of Health.

Comparison of machine learning and conventional statistical modeling for predicting readmission following acute heart failure hospitalization.

INTRODUCTION: Developing accurate models for predicting the risk of 30-day readmission is a major healthcare interest. Evidence suggests that models developed using machine learning (ML) may have better discrimination than conventional statistical models (CSM), but the calibration of such models is unclear. OBJECTIVES: To compare models developed using ML with those developed using CSM to predict 30-day readmission for cardiovascular and noncardiovascular causes in HF patients. METHODS: We retrospectively enrolled 10,919 patients with HF (> 18 years) discharged alive from a hospital or emergency department (2004-2007) in Ontario, Canada. The study sample was randomly divided into training and validation sets in a 2:1 ratio. CSMs to predict 30-day readmission were developed using Fine-Gray subdistribution hazards regression (treating death as a competing risk), and the ML algorithm employed random survival forests for competing risks (RSF-CR). Models were evaluated in the validation set using both discrimination and calibration metrics. RESULTS: In the validation sample of 3602 patients, RSF-CR (c-statistic=0.620) showed similar discrimination to the Fine-Gray competing risk model (c-statistic=0.621) for 30-day cardiovascular readmission. In contrast, for 30-day noncardiovascular readmission, the Fine-Gray model (c-statistic=0.641) slightly outperformed the RSF-CR model (c-statistic=0.632). For both outcomes, The Fine-Gray model displayed better calibration than RSF-CR using calibration plots of observed vs predicted risks across the deciles of predicted risk. CONCLUSIONS: Fine-Gray models had similar discrimination but superior calibration to the RSF-CR model, highlighting the importance of reporting calibration metrics for ML-based prediction models. The discrimination was modest in all readmission prediction models regardless of the methods used.

Persistent disparities in insulin pump uptake despite a universal pump programme for type 1 diabetes in Ontario, Canada.

AIM: To evaluate associations between social disadvantage and insulin pump use among adults with type 1 diabetes (T1D) in the context of a universal publicly funded insulin pump programme in Ontario, Canada, and to ascertain whether social disparities in insulin pump programme enrolment have decreased over time. METHODS: Population-based cross-sectional studies were conducted using administrative healthcare data in Ontario, Canada. First, among adults aged older than 18 years diagnosed with T1D before 31 March 2021, logistic regression was used to assess the association between neighbourhood social disadvantage (Ontario marginalization index quintiles) and insulin pump use. Second, among all paediatric and adult applicants to the insulin pump programme from 1 September 2006 to 31 March 2022, ordinal logistic regression was used to evaluate associations between year of insulin pump initiation and social disadvantage. RESULTS: Among 27 453 adults with T1D, 60% used insulin pumps. Greater social disadvantage was associated with lower odds of insulin pump use (adjusted odds ratio [OR] 0.44 [95% confidence interval {CI} 0.39-0.48] for greatest vs. lowest social disadvantage quintile). Among 21 002 paediatric and adult applicants to the insulin pump programme, social disparities in pump use decreased in the first 3 years of the programme, plateaued until 2020, then increased from 2020 to 2022, with no change in the odds of being in a higher social deprivation quintile for 2022 relative to 2007 (OR 1.09 [95% CI 0.83-1.44]). CONCLUSIONS: Despite a universal pump programme for individuals with T1D, disparities by social disadvantage persist. Residual financial and non-financial barriers must be addressed to promote equitable insulin pump uptake.

Timing of follow-up visits after hospital discharge for COPD: Application of a new method.

RATIONALE: A common strategy to reduce COPD readmissions is to encourage patient follow-up with a physician within 1 to 2 weeks of discharge, yet evidence confirming its benefit is lacking. We used a new study design called target randomized trial emulation to determine the impact of follow-up visit timing on patient outcomes. METHODS: All Ontario residents aged 35 or older discharged from a COPD hospitalization were identified using health administrative data and randomly assigned to those who received and did not receive physician visit follow-up by within seven days. They were followed to all-cause emergency department visits, readmissions or death. Targeted randomized trial emulation was used to adjust for differences between the groups. COPD emergency department visits, readmissions or death was also considered. RESULTS: There were 94,034 patients hospitalized with COPD, of whom 73.5% had a physician visit within 30 days of discharge. Adjusted hazard ratio for all-cause readmission, emergency department visits or death for people with a visit within seven days post discharge was 1.03 (95% Confidence Interval [CI]: 1.01-1.05) and remained around 1 for subsequent days; adjusted hazard ratio for the composite COPD events was 0.97 (95% CI 0.95-1.00) and remained significantly lower than 1 for subsequent days. CONCLUSION: While a physician visit after discharge was found to reduce COPD events, a specific time period when a physician visit was most beneficial was not found. This suggests that follow-up visits should not occur at a predetermined time but be based on factors such as anticipated medical need.

Minimizing confounding in comparative observational studies with time-to-event outcomes: An extensive comparison of covariate balancing methods using Monte Carlo simulation.

Observational studies are frequently used in clinical research to estimate the effects of treatments or exposures on outcomes. To reduce the effects of confounding when estimating treatment effects, covariate balancing methods are frequently implemented. This study evaluated, using extensive Monte Carlo simulation, several methods of covariate balancing, and two methods for propensity score estimation, for estimating the average treatment effect on the treated using a hazard ratio from a Cox proportional hazards model. With respect to minimizing bias and maximizing accuracy (as measured by the mean square error) of the treatment effect, the average treatment effect on the treated weighting, fine stratification, and optimal full matching with a conventional logistic regression model for the propensity score performed best across all simulated conditions. Other methods performed well in specific circumstances, such as pair matching when sample sizes were large (n = 5000) and the proportion treated was < 0.25. Statistical power was generally higher for weighting methods than matching methods, and Type I error rates were at or below the nominal level for balancing methods with unbiased treatment effect estimates. There was also a decreasing effective sample size with an increasing number of strata, therefore for stratification-based weighting methods, it may be important to consider fewer strata. Generally, we recommend methods that performed well in our simulations, although the identification of methods that performed well is necessarily limited by the specific features of our simulation. The methods are illustrated using a real-world example comparing beta blockers and angiotensin-converting enzyme inhibitors among hypertensive patients at risk for incident stroke.

Wait-times Benchmarks for risk-based prioritization in Transcatheter Aortic Valve Implantation: a simulation study.

BACKGROUND: Demand for transcatheter aortic valve implantation (TAVI) has increased in the last decade, resulting in prolonged wait-times and undesirable health outcomes in many health systems. Risk-based prioritization and wait-times benchmarks can improve equitable access to patients. METHODS: We used simulation models to follow-up a synthetic population of 50,000 individuals from referral to completion of TAVI. Based on their risk of adverse events, patients could be classified as "low-", "medium-" and "high-risk", and shorter wait-times were assigned for the higher risk groups. We assessed the impacts of the size and wait-times for each risk group on waitlist mortality, hospitalization and urgent TAVIs. All scenarios had the same resource constraints, allowing us to explore the trade-offs between faster access for prioritized patients and deferred access for non-prioritized groups. RESULTS: Increasing the proportion of patients categorized as high-risk, and providing more rapid access to the higher-risk groups achieved the greatest reductions in mortality, hospitalizations and urgent TAVIs (relative reductions of up to 29%, 23% and 38%, respectively). However, this occurs at the expense of excessive wait-times in the non-prioritized low-risk group (up to 25 weeks). We propose wait-times of up to 3 weeks for high-risk patients and 7 weeks for medium-risk patients. CONCLUSIONS: Prioritizing higher-risk patients with faster access leads to better health outcomes, however this also results in unacceptably long wait-times for the non-prioritized groups in settings with limited capacity. Decision-makers must be aware of these implications when developing and implementing waitlist prioritization strategies.

Antipsychotic Discontinuation and New Trazodone Use in Ontario Nursing Homes: Evidence of Medication Substitution.

OBJECTIVES: An unintended consequence of efforts to reduce antipsychotic medications in nursing homes is the increase in use of other psychotropic medications; however, evidence of substitution remains limited. Our objective was to measure individual-level prescribing patterns consistent with substitution of trazodone for antipsychotics. DESIGN: Retrospective cohort study. SETTING AND PARTICIPANTS: Residents of Ontario nursing homes aged 66-105 years with an admission assessment between April 1, 2010, and March 31, 2019, who were receiving an antipsychotic and had no antidepressant medication use at admission to the nursing home. METHODS: We used linked health administrative data to examine changes in medication use over three quarterly assessments following admission. Antipsychotic and trazodone use were measured at each assessment. The rate of trazodone initiation was compared between residents no longer dispensed an antipsychotic (discontinued) and those with an ongoing antipsychotic (continued) using discrete time survival analysis, controlling for baseline resident characteristics. RESULTS: We identified 13,306 residents dispensed an antipsychotic with no antidepressant use at admission (mean age 84 years, 61.5% women, 82.8% with dementia). As of the first quarterly assessment, nearly 20% of residents no longer received an antipsychotic and 9% received a new trazodone medication. Over time, residents who discontinued antipsychotics had a rate of trazodone initiation that was 82% higher compared to residents who continued (adjusted hazard ratio 1.82, 95% CI 1.66-2.00). CONCLUSIONS AND IMPLICATIONS: Residents admitted to a nursing home with antipsychotic use had a higher rate of trazodone initiation if they discontinued (vs continued) an antipsychotic. These findings suggest antipsychotic substitution with trazodone after entering a nursing home.

Association Between Immigration Status and Ambulatory Secondary Stroke Preventive Care in Ontario, Canada.

BACKGROUND AND OBJECTIVES: Secondary stroke preventive care includes evaluation and control of vascular risk factors to prevent stroke recurrence. Our objective was to evaluate the quality of ambulatory stroke preventive care and its variation by immigration status in adult stroke survivors in Ontario, Canada. METHODS: We conducted a population-based administrative database-derived retrospective cohort study in Ontario, Canada. Using immigration records, we defined immigrants as those immigrating after 1985 and long-term residents as those arriving before 1985 or those born in Canada. We included community-dwelling stroke survivors 40 years and older with a first-ever stroke between 2011 and 2017. In the year following their stroke, we evaluated the following metrics of stroke prevention: testing for hyperlipidemia and diabetes; among those with the condition, control of diabetes (hemoglobin A1c ≤7%) and hyperlipidemia (low-density lipoprotein <2 mmol/L); medication use to control hypertension, diabetes, and atrial fibrillation; and visit to a family physician and a specialist (neurologist, cardiologist, or geriatrician). We determined age and sex-adjusted absolute prevalence difference (APD) between immigrants and long-term residents for each metric using generalized linear models with binomial distribution and an identity link function. RESULTS: We included 34,947 stroke survivors (median age 70 years, 46.9% women) of whom 12.4% were immigrants. The receipt of each metric ranged from 68% to 90%. Compared with long-term residents, after adjusting for age and sex, immigrants were slightly more likely to receive screening for hyperlipidemia (APD 5.58%; 95% CI 4.18-6.96) and diabetes (5.49%; 3.76-7.23), have visits to family physicians (1.19%; 0.49-1.90), receive a prescription for antihypertensive (3.12%; 1.76-4.49) and antihyperglycemic medications (9.51%; 6.46-12.57), and achieve control of hyperlipidemia (3.82%; 1.01-6.63). By contrast, they were less likely to achieve diabetes control (-4.79%; -7.86 to -1.72) or have visits to a specialist (-1.68%; -3.12 to -0.24). There was minimal variation by region of origin or time since immigration in immigrants. DISCUSSION: Compared with long-term residents, many metrics of secondary stroke preventive care were better in immigrants, albeit with small absolute differences. However, future work is needed to identify and mitigate the factors associated with the suboptimal quality of stroke preventive care for all stroke survivors.

Disparities in diabetes processes of care among people experiencing homelessness: An opportunity for intervention.

AIMS: To compare processes of diabetes care by homeless status. METHODS: A population-based propensity matched cohort study was conducted in Ontario, Canada. People with diabetes were identified in administrative healthcare data between April 2006 and March 2019. Those with a documented history of homelessness were matched to non-homeless controls. Data on processes of care measures included glucose monitoring tests, screening for microvascular complications, and physician follow-up. Differences in processes of care were compared by homeless status using proportions, risk ratios, and rate ratios. RESULTS: Of the 1,076,437 people with diabetes, 5219 matched pairs were identified. Homelessness was associated with fewer tests for glycated hemoglobin (RR = 0.63; 95 %CI: 0.60-0.67), LDL cholesterol (RR = 0.80; 95 %CI: 0.78-0.82), serum creatinine (RR = 0.94; 95 %CI: 0.92-0.97), urine protein quantification (RR = 0.62; 95 %CI: 0.59-0.66), and eye examinations (RR = 0.74; 95 %CI: 0.71-0.77). People with a history of homelessness were less likely to use primary care for diabetes management (RR = 0.62; 95 %CI: 0.59-0.66) or specialist care (RR = 0.87; 95 %CI: 0.83-0.91) compared to non-homeless controls. CONCLUSIONS: Disparities in diabetes care are evident for people with a history of homelessness and contribute to excess morbidity in this population. These data provide an impetus for investment in tailored interventions to improve healthcare equity and prevent long-term complications.

Comparative effectiveness and safety of apixaban and rivaroxaban in older patients with atrial fibrillation: A population-based cohort study.

BACKGROUND: There are no clinical trials with a head-to-head comparison between the 2 most commonly used oral anticoagulants (apixaban and rivaroxaban) in patients with atrial fibrillation (AF). The comparative efficacy and safety between these drugs remain unclear, especially in older patients who are at the highest risk for stroke and bleeding. OBJECTIVE: The purpose of this study was to compare the risk of major bleeding and thromboembolic events between apixaban and rivaroxaban in older patients with AF. METHODS: We conducted a population-based retrospective cohort study of all adult patients (66 years or older) with AF in Ontario, Canada, who were treated with apixaban or rivaroxaban between April 1, 2011, and March 31, 2020. The primary safety outcome was major bleeding, and the primary efficacy outcome was thromboembolic events. Secondary outcomes included any bleeding. Rates and hazard ratios (HRs) were adjusted for baseline comorbidities with inverse probability of treatment weighting. RESULTS: This study included 42,617 patients with AF treated with apixaban and 30,725 patients treated with rivaroxaban. After inverse probability of treatment weighting using the propensity score, patients in the apixaban and rivaroxaban groups were well balanced for baseline values of demographic characteristics, comorbidities, and medications; both groups had a similar mean age of 77.4 years, and 49.9% were female. At 1 year, the apixaban group had a lower risk for both major bleeding with an absolute risk reduction at 1 year of 1.1% (2.1% vs 3.2%; HR 0.65; 95% confidence interval [CI] 0.59-0.71]) and any bleeding (8.1% vs 10.9%; HR 0.73; 95% CI 0.69-0.77), with no difference in the risk for thromboembolic events (2.2% vs 2.2%; HR 1.02; 95% CI 0.92-1.13). CONCLUSION: In patients with AF, 66 years or older, treatment with apixaban was associated with lower risk for major bleeding, with no difference in the risk for thromboembolic events compared with rivaroxaban.

The effect of number of clusters and magnitude of within-cluster homogeneity in outcomes on the performance of four variance estimators for a marginal multivariable Cox regression model fit to clustered data in the context of observational research.

Researchers often estimate the association between the hazard of a time-to-event outcome and the characteristics of individuals and the clusters in which individuals are nested. Lin and Wei's robust variance estimator is often used with a Cox regression model fit to clustered data. Recently, alternative variance estimators have been proposed: the Fay-Graubard estimator, the Kauermann-Carroll estimator, and the Mancl-DeRouen estimator. Using Monte Carlo simulations, we found that, when fitting a marginal Cox regression model with both individual-level and cluster-level covariates: (i) in the presence of weak to moderate within-cluster homogeneity of outcomes, the Lin-Wei variance estimator can result in estimates of the SE with moderate bias when the number of clusters is fewer than 20-30, while in the presence of strong within-cluster homogeneity, it can result in biased estimation even when the number of clusters is as large as 100; (ii) when the number of clusters was less than approximately 20, the Fay-Graubard variance estimator tended to result in estimates of SE with the lowest bias; (iii) when the number of clusters exceeded approximately 20, the Mancl-DeRouen estimator tended to result in estimated standard errors with the lowest bias; (iv) the Mancl-DeRouen estimator used with a t-distribution tended to result in 95% confidence that had the best performance of the estimators; (v) when the magnitude of within-cluster homogeneity in outcomes was strong or very strong, all methods resulted in confidence intervals with lower than advertised coverage rates even when the number of clusters was very large.