Stroke risk in women with atrial fibrillation.

BACKGROUND AND AIMS: Female sex is associated with higher rates of stroke in atrial fibrillation (AF) after adjustment for other CHA2DS2-VASc factors. This study aimed to describe sex differences in age and cardiovascular care to examine their relationship with stroke hazard in AF. METHODS: Population-based cohort study using administrative datasets of people aged ≥66 years diagnosed with AF in Ontario between 2007 and 2019. Cause-specific hazard regression was used to estimate the adjusted hazard ratio (HR) for stroke associated with female sex over a 2-year follow-up. Model 1 included CHA2DS2-VASc factors, with age modelled as 66-74 vs. ≥ 75 years. Model 2 treated age as a continuous variable and included an age-sex interaction term. Model 3 further accounted for multimorbidity and markers of cardiovascular care. RESULTS: The cohort consisted of 354 254 individuals with AF (median age 78 years, 49.2% female). Females were more likely to be diagnosed in emergency departments and less likely to receive cardiologist assessments, statins, or LDL-C testing, with higher LDL-C levels among females than males. In Model 1, the adjusted HR for stroke associated with female sex was 1.27 (95% confidence interval 1.21-1.32). Model 2 revealed a significant age-sex interaction, such that female sex was only associated with increased stroke hazard at age >70 years. Adjusting for markers of cardiovascular care and multimorbidity further decreased the HR, so that female sex was not associated with increased stroke hazard at age ≤80 years. CONCLUSION: Older age and inequities in cardiovascular care may partly explain higher stroke rates in females with AF.

Days alive and out of hospital for adult female and male cardiac surgery patients: a population-based cohort study.

BACKGROUND: Research shows women experience higher mortality than men after cardiac surgery but information on sex-differences during postoperative recovery is limited. Days alive and out of hospital (DAH) combines death, readmission and length of stay, and may better quantify sex-differences during recovery. This main objective is to evaluate (i) how DAH at 30-days varies between sex and surgical procedure, (ii) DAH responsiveness to patient and surgical complexity, and (iii) longer-term prognostic value of DAH. METHODS: We evaluated 111,430 patients (26% female) who underwent one of three types of cardiac surgery (isolated coronary artery bypass [CABG], isolated non-CABG, combination procedures) between 2009 - 2019. Primary outcome was DAH at 30 days (DAH30), secondary outcomes were DAH at 90 days (DAH90) and 180 days (DAH180). Data were stratified by sex and surgical group. Unadjusted and risk-adjusted analyses were conducted to determine the association of DAH with patient-, surgery-, and hospital-level characteristics. Patients were divided into two groups (below and above the 10th percentile) based on the number of days at DAH30. Proportion of patients below the 10th percentile at DAH30 that remained in this group at DAH90 and DAH180 were determined. RESULTS: DAH30 were lower for women compared to men (22 vs. 23 days), and seen across all surgical groups (isolated CABG 23 vs. 24, isolated non-CABG 22 vs. 23, combined surgeries 19 vs. 21 days). Clinical risk factors including multimorbidity, socioeconomic status and surgical complexity were associated with lower DAH30 values, but women showed lower values of DAH30 compared to men for many factors. Among patients in the lowest 10th percentile at DAH30, 80% of both females and males remained in the lowest 10th percentile at 90 days, while 72% of females and 76% males remained in that percentile at 180 days. CONCLUSION: DAH is a responsive outcome to differences in patient and surgical risk factors. Further research is needed to identify new care pathways to reduce disparities in outcomes between male and female patients.

Trajectories of P2Y12 inhibitor adherence in patients with acute coronary syndromes.

PURPOSE: P2Y12 inhibitors (P2Y12i) reduce cardiac events after acute coronary syndromes (ACS). However, suboptimal P2Y12i adherence persists. We aimed to examine P2Y12i non-adherence using group-based trajectory methods and to identify adherence predictors. METHODS: We conducted a population-based, retrospective cohort study using administrative data in Ontario, Canada of patients ≥65 years admitted for ACS between April 2014 and March 2018 with a P2Y12i dispensed within 7 days of discharge. We used group-based trajectory models to characterize longitudinal 1-year adherence patterns. Predictors associated with each adherence trajectory were identified by multinomial logistic regression. RESULTS: We included 11 917 patients using clopidogrel and 9763 using ticagrelor, aged [mean ± SD]: 77.33 ± 8.31/73.59 ± 6.79 years; men: 56.2%/65.4%, respectively. We identified 3 longitudinal adherence trajectories, that differed by agent: 75% of clopidogrel and 68% of ticagrelor patients showed a consistently adherent trajectory, while 13%/17% were gradually, and 12%/15% were rapidly non-adherent, respectively (p < 0.001). Differing baseline characteristics in each cohort were associated with observed adherence trajectories. Concomitant atrial fibrillation and prior bleeding history were associated with non-adherence among clopidogrel users. Among ticagrelor users, women and older persons were more likely to be rapidly non-adherent, adherence declining steeply starting 1 month post-ACS. CONCLUSIONS: We identified distinct adherence trajectories for clopidogrel and ticagrelor post-ACS, with 3 out of 4 clopidogrel patients but only 2 out of 3 ticagrelor patients in the consistently adherent trajectory. Intensive interventions targeted to the period of steep adherence decline post-ACS, particularly for women and older persons initiating ticagrelor, and patients with atrial fibrillation on clopidogrel should be considered and investigated further.

Development and Validation of the CANHEART Population-Based Laboratory Prediction Models for Atherosclerotic Cardiovascular Disease.

BACKGROUND: Prediction of atherosclerotic cardiovascular disease (ASCVD) in primary prevention assessments exclusively with laboratory results may facilitate automated risk reporting and improve uptake of preventive therapies. OBJECTIVE: To develop and validate sex-specific prediction models for ASCVD using age and routine laboratory tests and compare their performance with that of the pooled cohort equations (PCEs). DESIGN: Derivation and validation of the CANHEART (Cardiovascular Health in Ambulatory Care Research Team) Lab Models. SETTING: Population-based cohort study in Ontario, Canada. PARTICIPANTS: A derivation and internal validation cohort of adults aged 40 to 75 years without cardiovascular disease from April 2009 to December 2015; an external validation cohort of primary care patients from January 2010 to December 2014. MEASUREMENTS: Age and laboratory predictors measured in the outpatient setting included serum total cholesterol, high-density lipoprotein cholesterol, triglycerides, hemoglobin, mean corpuscular volume, platelets, leukocytes, estimated glomerular filtration rate, and glucose. The ASCVD outcomes were defined as myocardial infarction, stroke, and death from ischemic heart or cerebrovascular disease within 5 years. RESULTS: Sex-specific models were developed and internally validated in 2 160 497 women and 1 833 147 men. They were well calibrated, with relative differences less than 1% between mean predicted and observed risk for both sexes. The c-statistic was 0.77 in women and 0.71 in men. External validation in 31 697 primary care patients showed a relative difference less than 14% and an absolute difference less than 0.3 percentage points in mean predicted and observed risks for both sexes. The c-statistics for the laboratory models were 0.72 for both sexes and were not statistically significantly different from those for the PCEs in women (change in c-statistic, -0.01 [95% CI, -0.03 to 0.01]) or men (change in c-statistic, -0.01 [CI, -0.04 to 0.02]). LIMITATION: Medication use was not available at the population level. CONCLUSION: The CANHEART Lab Models predict ASCVD with similar accuracy to more complex models, such as the PCEs. PRIMARY FUNDING SOURCE: Canadian Institutes of Health Research.

Association of Neighborhood-Level Material Deprivation With Atrial Fibrillation Care in a Single-Payer Health Care System: A Population-Based Cohort Study.

BACKGROUND: There are limited data on the association of material deprivation with clinical care and outcomes after atrial fibrillation (AF) diagnosis in jurisdictions with universal health care. METHODS: This was a population-based cohort study of individuals ≥66 years of age with first diagnosis of AF between April 1, 2007, and March 31, 2019, in the Canadian province of Ontario, which provides public funding and prohibits private payment for medically necessary physician and hospital services. Prescription medications are subsidized for residents >65 years of age. The primary exposure was neighborhood material deprivation, a metric derived from Canadian census data to estimate inability to attain basic material needs. Neighborhoods were categorized by quintile from Q1 (least deprived) to Q5 (most deprived). Cause-specific hazards regression was used to study the association of material deprivation quintile with time to AF-related adverse events (death or hospitalization for stroke, heart failure, or bleeding), clinical services (physician visits, cardiac diagnostics), and interventions (anticoagulation, cardioversion, ablation) while adjusting for individual characteristics and regional cardiologist supply. RESULTS: Among 347 632 individuals with AF (median age 79 years, 48.9% female), individuals in the most deprived neighborhoods (Q5) had higher prevalence of cardiovascular disease, risk factors, and noncardiovascular comorbidity relative to residents of the least deprived neighborhoods (Q1). After adjustment, Q5 residents had higher hazards of death (hazard ratio [HR], 1.16 [95% CI, 1.13-1.20]) and hospitalization for stroke (HR, 1.16 [95% CI, 1.07-1.27]), heart failure (HR, 1.14 [95% CI, 1.11-1.18]), or bleeding (HR, 1.16 [95% CI, 1.07-1.25]) relative to Q1. There were small differences across quintiles in primary care physician visits (HR, Q5 versus Q1, 0.91 [95% CI, 0.89-0.92]), echocardiography (HR, Q5 versus Q1, 0.97 [95% CI, 0.96-0.99]), and dispensation of anticoagulation (HR, Q5 versus Q1, 0.97 [95% CI, 0.95-0.98]). There were more prominent disparities for Q5 versus Q1 in cardiologist visits (HR, 0.84 [95% CI, 0.82-0.86]), cardioversion (HR, 0.80 [95% CI, 0.76-0.84]), and ablation (HR, 0.45 [95% CI, 0.30-0.67]). CONCLUSIONS: Despite universal health care and prescription medication coverage, residents of more deprived neighborhoods were less likely to visit cardiologists or receive rhythm control interventions after AF diagnosis, even though they exhibited higher cardiovascular disease burden and higher risk of adverse outcomes.

Predicting left main stenosis in stable ischemic heart disease using logistic regression and boosted trees.

BACKGROUND: The ISCHEMIA trial showed similar cardiovascular outcomes of an initial conservative strategy as compared with invasive management in patients with stable ischemic heart disease without left main stenosis. We aim to assess the feasibility of predicting significant left main stenosis using extensive clinical, laboratory and non-invasive tests data. METHODS: All adult patients who had stress testing prior to undergoing an elective coronary angiography for stable ischemic heart disease in Ontario, Canada, between April 2010 and March 2019, were included. Candidate predictors included comprehensive demographics, comorbidities, laboratory tests, and cardiac stress test data. The outcome was stenosis of 50% or greater in the left main coronary artery. A traditional model (logistic regression) and a machine learning algorithm (boosted trees) were used to build prediction models. RESULTS: Among 150,423 patients included (mean age: 64.2 ± 10.6 years; 64.1% males), there were 9,225 (6.1%) with left main stenosis. The final logistic regression model included 24 predictors and 3 interactions, had an optimism-adjusted c-statistic of 0.72 and adequate calibration (optimism-adjusted Integrated Calibration Index 0.0044). These results were consistent in subgroups of males and females, diabetes and non-diabetes, and extent of ischemia. The boosted tree algorithm had similar accuracy, also resulting in a c-statistic of 0.72 and adequate calibration (Integrated Calibration Index 0.0054). CONCLUSIONS: In this large population-based study of patients with stable ischemic heart disease using extensive clinical data, only modest prediction of left main coronary artery disease was possible with traditional and machine learning modelling techniques.

Risk Factors for Major Cardiovascular Events in Adult Sepsis Survivors: A Population-Based Cohort Study.

OBJECTIVES: To describe risk factors for major cardiovascular events in adults following hospital discharge after sepsis. DESIGN: Population-based cohort study. SETTING: Ontario, Canada (2008-2017). PATIENTS: Adult patients (age 18 yr or older) who survived a first sepsis hospitalization without preexisting cardiovascular disease. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The primary composite outcome was myocardial infarction, stroke, or cardiovascular death up to 5 years following hospital discharge. We used cause-specific Cox proportional hazards models that accounted for the competing risk of noncardiovascular death to describe factors associated with major cardiovascular events. We identified 268,259 adult patients without cardiovascular disease (median age, 72 yr), of whom 10.4% experienced a major cardiovascular event during a median follow-up of 3 years. After multivariable adjustment, age (hazard ratio [HR], 1.53 for every 10 yr; 95% CI, 1.51-1.54), male sex (HR, 1.23; 95% CI, 1.20-1.26), diabetes mellitus (HR, 1.24; 95% CI, 1.21-1.27), hypertension (HR, 1.34; 95% CI, 1.30-1.38), prevalent atrial fibrillation (HR, 1.46; 95% CI, 1.40-1.52), and chronic kidney disease (HR, 1.11; 95% CI, 1.06-1.16) were associated with major cardiovascular events during long-term follow-up. Sepsis characteristics such as site of infection (pneumonia vs other: HR, 1.09; 95% CI, 1.05-1.12), septic shock (HR, 1.08; 95% CI, 1.05-1.11), and renal replacement therapy (HR, 1.51; 95% CI, 1.38-1.64) were also associated with subsequent cardiovascular events. In an analysis restricting to patients with troponin values measured during the hospitalization (26,400 patients), an elevated troponin was also associated with subsequent cardiovascular events (HR, 1.23; 95% CI, 1.13-1.33). CONCLUSIONS: Classic cardiovascular risk factors, comorbid conditions, and characteristics of the sepsis episode were associated with a higher hazard of major cardiovascular events in adult sepsis survivors. These findings may inform enrichment strategies for future studies.

Variation and clinical consequences of wait-times for atrial fibrillation ablation: population level study in Ontario, Canada.

AIMS: Atrial fibrillation (AF) is the most common cardiac rhythm disorder. Emerging evidence supporting the efficacy of catheter ablation in managing AF has led to increased demand for this therapy, potentially outpacing the capacity to perform this procedure. Mismatch between demand and capacity for AF ablation results in wait-times which have not been comprehensively evaluated at a population level. Additionally, the consequences of such delays in AF ablation, namely the risk of hospitalization or adverse events, have not been studied. METHODS AND RESULTS: This observational cohort study included adults referred for catheter ablation to treat AF in Ontario, Canada, between 1 April 2016 and 31 March 2020. Wait-time was defined from referral to the earliest of ablation, death, off-list, or the study endpoint of 31 March 2022. The outcomes of interest included a composite of death, hospitalization for AF/heart failure, and emergency department visit for AF/heart failure. Our study cohort included 6253 patients referred for de novo AF ablation. The median wait-time for patients who received and who did not receive ablation was 218 days (IQR: 112-363) and 520 days (IQR: 270-763), respectively. Wait-time increased consistently for patients referred between October 2017 and March 2020. Mortality was rare, but significant morbidity was observed, affecting 19.2% of patients on the waitlist for AF ablation. Paroxysmal AF was associated with a statistically significant greater risk for adverse outcomes on the waitlist (HR 1.51, 95% CI 1.18-1.93). CONCLUSION: Wait-times for AF ablation are increasing and are associated with significant morbidity.

A review of the use of propensity score methods with multiple treatment groups in the general internal medicine literature.

BACKGROUND: Propensity score (PS) methods with two treatment groups (e.g., treated vs. control) is a well-established technique for reducing the effects of confounding in nonrandomized studies. However, researchers are often interested in comparing multiple interventions. PS methods have been modified to incorporate multiple exposures. We described available techniques for PS methods in multicategory exposures (≥3 groups) and examined their use in the medical literature. METHODS: A comprehensive search was conducted for studies published in PubMed, Embase, Google Scholar, and Web of Science until February 27, 2023. We included studies using PS methods for multiple groups in general internal medicine research. RESULTS: The literature search yielded 4088 studies (2616 from PubMed, 86 from Embase, 85 from Google Scholar, 1671 from Web of Science, five from other sources). In total, 264 studies using PS method for multiple groups were identified; 61 studies were on general internal medicine topics and included. The most commonly used method was that of McCaffrey et al., which was used in 26 studies (43%), where the Toolkit for Weighting and Analysis of Nonequivalent Groups (TWANG) method and corresponding inverse probabilities of treatment weights were estimated via generalized boosted models. The next most commonly used method was pairwise propensity-matched comparisons, which was used in 20 studies (33%). The method by Imbens et al. using a generalized propensity score was implemented in six studies (10%). Four studies (7%) used a conditional probability of being in a particular group given a set of observed baseline covariates where a multiple propensity score was estimated using a non-parsimonious multinomial logistic regression model. Four studies (7%) used a technique that estimates generalized propensity scores and then creates 1:1:1 matched sets, and one study (2%) used the matching weight method. CONCLUSIONS: Many propensity score methods for multiple groups have been adopted in the literature. The TWANG method is the most commonly used method in the general medical literature.

Association Between Hospital Postoperative Troponin Use and Patient Outcomes After Vascular Surgery.

BACKGROUND: Acute myocardial injury after noncardiac surgery, which is most often symptomatically silent, is associated with increased mortality and morbidity. However, it is not known if routine postoperative troponin testing will affect patient outcomes. METHODS: We assembled a cohort of patients who underwent carotid endarterectomy or abdominal aortic aneurysm repair in Ontario, Canada, from 2010 to 2017. Hospitals were categorized into high, medium, and low troponin testing intensity based on the proportion of patients who received postoperative troponin testing. Cox proportional hazards modeling was used to assess the association between hospital-specific testing intensity and 30-day and 1-year major adverse cardiovascular events (MACEs) while adjusting for patient-, surgery-, and hospital-level factors. RESULTS: The cohort consisted of 18,467 patients from 17 hospitals. Mean age was 72 years, and 74.0% were men. Rates of postoperative troponin testing were 77.5%, 35.8%, and 21.6% in the high-, medium-, and low-testing intensity hospitals, respectively. At 30 days, 5.3%, 5.3%, and 6.5% of patients in high-, medium-, and low-testing intensity hospitals experienced MACE, respectively. Higher troponin testing rate was associated with lower adjusted hazard ratios (HRs) for MACE at 30 days (0.94; 95% confidence interval [CI], 0.89-0.98) and at 1 year (0.97; 95% CI, 0.94-0.99) for each 10% increase in hospital troponin rate. Hospitals with high-testing intensity had higher rates of postoperative cardiology referrals, cardiovascular testing, and rates of new cardiovascular prescriptions. CONCLUSIONS: Patients undergoing vascular surgery at hospitals with higher postoperative troponin testing intensity experienced fewer adverse outcomes than patients who had surgery at hospitals with lower testing intensity.

Differences in Treatment Patterns and Outcomes of Acute Myocardial Infarction for Low- and High-Income Patients in 6 Countries.

Importance: Differences in the organization and financing of health systems may produce more or less equitable outcomes for advantaged vs disadvantaged populations. We compared treatments and outcomes of older high- and low-income patients across 6 countries. Objective: To determine whether treatment patterns and outcomes for patients presenting with acute myocardial infarction differ for low- vs high-income individuals across 6 countries. Design, Setting, and Participants: Serial cross-sectional cohort study of all adults aged 66 years or older hospitalized with acute myocardial infarction from 2013 through 2018 in the US, Canada, England, the Netherlands, Taiwan, and Israel using population-representative administrative data. Exposures: Being in the top and bottom quintile of income within and across countries. Main Outcomes and Measures: Thirty-day and 1-year mortality; secondary outcomes included rates of cardiac catheterization and revascularization, length of stay, and readmission rates. Results: We studied 289 376 patients hospitalized with ST-segment elevation myocardial infarction (STEMI) and 843 046 hospitalized with non-STEMI (NSTEMI). Adjusted 30-day mortality generally was 1 to 3 percentage points lower for high-income patients. For instance, 30-day mortality among patients admitted with STEMI in the Netherlands was 10.2% for those with high income vs 13.1% for those with low income (difference, -2.8 percentage points [95% CI, -4.1 to -1.5]). One-year mortality differences for STEMI were even larger than 30-day mortality, with the highest difference in Israel (16.2% vs 25.3%; difference, -9.1 percentage points [95% CI, -16.7 to -1.6]). In all countries, rates of cardiac catheterization and percutaneous coronary intervention were higher among high- vs low-income populations, with absolute differences ranging from 1 to 6 percentage points (eg, 73.6% vs 67.4%; difference, 6.1 percentage points [95% CI, 1.2 to 11.0] for percutaneous intervention in England for STEMI). Rates of coronary artery bypass graft surgery for patients with STEMI in low- vs high-income strata were similar but for NSTEMI were generally 1 to 2 percentage points higher among high-income patients (eg, 12.5% vs 11.0% in the US; difference, 1.5 percentage points [95% CI, 1.3 to 1.8 ]). Thirty-day readmission rates generally also were 1 to 3 percentage points lower and hospital length of stay generally was 0.2 to 0.5 days shorter for high-income patients. Conclusions and Relevance: High-income individuals had substantially better survival and were more likely to receive lifesaving revascularization and had shorter hospital lengths of stay and fewer readmissions across almost all countries. Our results suggest that income-based disparities were present even in countries with universal health insurance and robust social safety net systems.

Restrictive versus liberal transfusion in patients with diabetes undergoing cardiac surgery: An open-label, randomized, blinded outcome evaluation trial.

AIM: To characterize the association between diabetes and transfusion and clinical outcomes in cardiac surgery, and to evaluate whether restrictive transfusion thresholds are harmful in these patients. MATERIALS AND METHODS: The multinational, open-label, randomized controlled TRICS-III trial assessed a restrictive transfusion strategy (haemoglobin [Hb] transfusion threshold <75 g/L) compared with a liberal strategy (Hb <95 g/L for operating room or intensive care unit; or <85 g/L for ward) in patients undergoing cardiac surgery on cardiopulmonary bypass with a moderate-to-high risk of death (EuroSCORE ≥6). Diabetes status was collected preoperatively. The primary composite outcome was all-cause death, stroke, myocardial infarction, and new-onset renal failure requiring dialysis at 6 months. Secondary outcomes included components of the composite outcome at 6 months, and transfusion and clinical outcomes at 28 days. RESULTS: Of the 5092 patients analysed, 1396 (27.4%) had diabetes (restrictive, n = 679; liberal, n = 717). Patients with diabetes had more cardiovascular disease than patients without diabetes. Neither the presence of diabetes (OR [95% CI] 1.10 [0.93-1.31]) nor the restrictive strategy increased the risk for the primary composite outcome (diabetes OR [95% CI] 1.04 [0.68-1.59] vs. no diabetes OR 1.02 [0.85-1.22]; Pinteraction  = .92). In patients with versus without diabetes, a restrictive transfusion strategy was more effective at reducing red blood cell transfusion (diabetes OR [95% CI] 0.28 [0.21-0.36]; no diabetes OR [95% CI] 0.40 [0.35-0.47]; Pinteraction  = .04). CONCLUSIONS: The presence of diabetes did not modify the effect of a restrictive transfusion strategy on the primary composite outcome, but improved its efficacy on red cell transfusion. Restrictive transfusion triggers are safe and effective in patients with diabetes undergoing cardiac surgery.

COVID-19 and its Cardiac and Neurological Complications among Ontario Visible Minorities.

BACKGROUND: Due to lack of data on the epidemiology, cardiac, and neurological complications among Ontario visible minorities (Chinese and South Asians) affected by coronavirus disease (COVID-19), this population-based retrospective study was undertaken to study them systematically. METHODS: From January 1, 2020 to September 30, 2020 using the last name algorithm to identify Ontario Chinese and South Asians who were tested positive by PCR for COVID-19, their demographics, cardiac, and neurological complications including hospitalization and emergency visit rates were analyzed compared to the general population. RESULTS: Chinese (N = 1,186) with COVID-19 were found to be older (mean age 50.7 years) compared to the general population (N = 42,547) (mean age 47.6 years) (p < 0.001), while South Asians (N = 3,459) were younger (age of 42.1 years) (p < 0.001). The 30-day crude rate for cardiac complications among Chinese was 169/10,000 (p = 0.069), while for South Asians, it was 64/10,000 (p = 0.008) and, for the general population, it was 112/10,000. For neurological complications, the 30-day crude rate for Chinese was 160/10,000 (p < 0.001); South Asians was 40/10,000 (p = 0.526), and general population was 48/10,000. The 30-day all-cause mortality rate was significantly higher for Chinese at 8.1% vs 5.0% for the general population (p < 0.001), while it was lower in South Asians at 2.1% (p < 0.001). CONCLUSIONS: Chinese and South Asians in Ontario affected by COVID-19 during the first wave of the pandemic were found to have a significant difference in their demographics, cardiac, and neurological outcomes.

Troponin testing after noncardiac surgery: a population-based historical cohort study on variation and factors associated with testing in Ontario.

BACKGROUND: International practice guidelines make different recommendations for postoperative troponin testing to detect perioperative myocardial infarction and myocardial injury after noncardiac surgery. To gain insights into current testing patterns, we evaluated predictors of routine troponin testing after three commonly performed major noncardiac surgeries. METHODS: We conducted a population-based historical cohort study of adults having major orthopedic, colorectal, or vascular surgery in Ontario, Canada from 1 January 2010 to 31 December 2017. We used hierarchical logistic regression modelling to assess the association of patient, surgery, and hospital factors with postoperative troponin testing, while accounting for clustering at the hospital level. We characterized hospital-level variation by the intraclass correlation coefficient (ICC), which was adjusted for various characteristics. RESULTS: The cohort included 176,454 eligible patients. Hospital-specific adjusted testing rates ranged from 0-20.1% for orthopedic surgery, 0-43.8% for colorectal surgery, and 19.6-88.0% for vascular surgery. Older age, urgent surgery status, and surgery duration were consistently associated with higher rates of testing for all three surgeries. Higher Revised Cardiac Risk Index scores were associated with higher odds of testing for orthopedic and colorectal surgery, but not for vascular surgery. Even after adjustment, the ICCs were 9.2%, 7.4%, and 24.1% for orthopedic, general, and vascular surgery, respectively. CONCLUSIONS: Troponin testing varied substantially across hospitals for selected major noncardiac surgery procedures even after accounting for differences in patient-level cardiac risk factors. Our observations lend support to a more standardized approach for troponin testing after noncardiac surgery.

RéSUMé: CONTEXTE: Les directives de pratique internationales émettent différentes recommandations en ce qui concerne les dosages postopératoires de troponines afin de détecter l'infarctus du myocarde et les lésions myocardiques périopératoires après une chirurgie non cardiaque. Pour mieux comprendre les habitudes de test actuelles, nous avons évalué les prédicteurs de dosage de troponines de routine après trois chirurgies non cardiaques majeures couramment réalisées. MéTHODE: Nous avons réalisé une étude de cohorte historique basée sur la population d'adultes bénéficiant d'une chirurgie orthopédique, colorectale ou vasculaire majeure en Ontario, au Canada, entre le 1er janvier 2010 et le 31 décembre 2017. Nous avons utilisé un modèle de régression logistique hiérarchique afin d'évaluer l'association des facteurs liés au patient, à la chirurgie et à l'hôpital avec les dosages de troponines postopératoires, tout en tenant compte des groupements au niveau hospitalier. Nous avons caractérisé la variation hospitalière par le coefficient de corrélation intraclasse (CCI), qui a été ajusté pour tenir compte de diverses caractéristiques. RéSULTATS: La cohorte comprenait 176 454 patients éligibles. Les taux de tests ajustés propres à l'hôpital variaient de 0 à 20,1 % pour les chirurgies orthopédiques, de 0 à 43,8 % pour les chirurgies colorectales et de 19,6 à 88,0 % pour les chirurgies vasculaires. Un âge plus avancé, un statut de chirurgie urgente et la durée de la chirurgie étaient systématiquement associés à des taux plus élevés de dosages pour les trois chirurgies. Des scores plus élevés sur l'Indice de risque cardiaque révisé étaient associés à des probabilités plus élevées de dosages pour les chirurgies orthopédiques et colorectales, mais pas pour les chirurgies vasculaires. Même après ajustement, les CCI étaient de 9,2 %, 7,4 % et 24,1 % pour les chirurgies orthopédiques, générales et vasculaires, respectivement. CONCLUSION: Les dosages de troponines varient considérablement d'un hôpital à l'autre pour certaines interventions chirurgicales non cardiaques majeures, même après avoir pris en compte les différences dans les facteurs de risque cardiaques liés au patient. Nos observations appuient une approche plus standardisée des dosages de troponines après une chirurgie non cardiaque.

Acute Myocardial Infarction after Laboratory-Confirmed Influenza Infection.

BACKGROUND: Acute myocardial infarction can be triggered by acute respiratory infections. Previous studies have suggested an association between influenza and acute myocardial infarction, but those studies used nonspecific measures of influenza infection or study designs that were susceptible to bias. We evaluated the association between laboratory-confirmed influenza infection and acute myocardial infarction. METHODS: We used the self-controlled case-series design to evaluate the association between laboratory-confirmed influenza infection and hospitalization for acute myocardial infarction. We used various high-specificity laboratory methods to confirm influenza infection in respiratory specimens, and we ascertained hospitalization for acute myocardial infarction from administrative data. We defined the "risk interval" as the first 7 days after respiratory specimen collection and the "control interval" as 1 year before and 1 year after the risk interval. RESULTS: We identified 364 hospitalizations for acute myocardial infarction that occurred within 1 year before and 1 year after a positive test result for influenza. Of these, 20 (20.0 admissions per week) occurred during the risk interval and 344 (3.3 admissions per week) occurred during the control interval. The incidence ratio of an admission for acute myocardial infarction during the risk interval as compared with the control interval was 6.05 (95% confidence interval [CI], 3.86 to 9.50). No increased incidence was observed after day 7. Incidence ratios for acute myocardial infarction within 7 days after detection of influenza B, influenza A, respiratory syncytial virus, and other viruses were 10.11 (95% CI, 4.37 to 23.38), 5.17 (95% CI, 3.02 to 8.84), 3.51 (95% CI, 1.11 to 11.12), and 2.77 (95% CI, 1.23 to 6.24), respectively. CONCLUSIONS: We found a significant association between respiratory infections, especially influenza, and acute myocardial infarction. (Funded by the Canadian Institutes of Health Research and others.).

Real-world risk of cardiovascular outcomes associated with hypertriglyceridaemia among individuals with atherosclerotic cardiovascular disease and potential eligibility for emerging therapies.

AIMS: Hypertriglyceridaemia in patients with atherosclerotic cardiovascular disease (ASCVD) has been in focus following the REDUCE-IT trial showing benefit with icosapent ethyl. Among individuals with prevalent ASCVD, we sought to quantify the contemporary, real-world risk of ASCVD events associated with hypertriglyceridaemia, as well as estimate icosapent ethyl eligibility and compare trial participants with REDUCE-IT-like individuals in the population. METHODS AND RESULTS: We examined data from 2 424 865 adults with lipid panels in the Ontario population. Among those with prevalent ASCVD, we examined adjusted associations between triglyceride (TG) and ASCVD events (first occurrence of myocardial infarction, unstable angina, stroke or transient ischaemic attack, coronary revascularization, or cardiovascular death). The proportion of patients with ASCVD potentially eligible for icosapent ethyl was estimated as those with TG 135-499 mg/dL (1.52-5.63 mmol/L) and low-density lipoprotein cholesterol (LDLc) 41-100 mg/dL (1.06-2.59 mmol/L), similar to the lipid cut-offs in REDUCE-IT, and their demographics and event rates examined. Among 196 717 individuals with ASCVD, median age was 69 years and 30% were female. A total of 24 097 composite ASCVD events occurred over a mean (standard deviation) 2.9 (0.5) years of follow-up. Increasing TG was associated with a graded, progressively higher hazard of ASCVD events. Twenty-five percent (49 886) of individuals with ASCVD had hypertriglyceridaemia and controlled LDLc; these patients were demographically similar to those in REDUCE-IT with comparable event rates. CONCLUSIONS: Among patients with ASCVD, hypertriglyceridaemia is common, and is associated with higher ASCVD risk across a range of TG. It is possible that as many as one in four patients with ASCVD may be candidates for emerging therapies.

The Gap in Prescribing Stroke Prevention Therapies in Postoperative Atrial Fibrillation After Isolated Coronary Artery Bypass Grafting Surgery.

BACKGROUND: Postoperative atrial fibrillation (POAF) commonly occurs after coronary artery bypass graft (CABG) surgery. Patients with POAF are at higher risk of stroke and mortality. The use of oral anticoagulation (OAC) in POAF remains inconsistent, and the care gap is unknown. OBJECTIVE: We sought to evaluate rate of adherence and factors associated with OAC use in POAF patients after isolated CABG. METHODS: In this study, all patients who had an isolated CABG between April 1, 2019 and March 30, 2020, at Health Sciences North, Sudbury retrospectively were evaluated. We identified all patients who developed POAF and captured the use of OAC. Multivariable logistic regression models were used to identify predictors of OAC prescription. RESULTS: In total, 339 CABG patients between April 1, 2019 and March 30, 2020, were identified; 86 patients developed POAF. No patients had major perioperative bleeding. All POAF patients had an indication for OAC therapies based on CHADS 65 score. However, only 17 (19.8%) patients with POAF had OAC prescription at the time of hospital discharge.  Baseline characteristics were similar between those with or without OAC. In multivariable analysis, the use of dual antiplatelet therapy was associated with a decreased use of OAC therapy in POAF (OR 0.037 (95% CI 0.005, 0.29), P = .002). Moreover, in comparison to surgeon A, surgeon B was associated with a decreased use of OAC therapy, whereas surgeon C was associated with an increased use of OAC therapy in POAF (OR 0.15 (95% CI 0.03, 0.83), P = .03 and OR 6.49 (95% CI 1.21, 34.82), P = .03, respectively). None of the CHADS 65 elements, including age, hypertension, stroke, diabetes mellitus or congestive heart failure, correlated with the use of OAC. KEY FINDINGS: Eighty percent of patients who developed POAF after isolated CABG failed to receive stroke prevention therapies. The use of dual antiplatelet therapy and individual surgeons' preference were associated with the use of OAC therapy among POAF. CONCLUSIONS: This data set suggests that approximately only 1 in 5 patients with POAF after isolated CABG got prescribed OAC.

Infective Endocarditis Hospitalizations and Antibiotic Prophylaxis Rates Before and After the 2007 American Heart Association Guideline Revision.

BACKGROUND: In 2007, the American Heart Association recommended antibiotic prophylaxis for the prevention of infective endocarditis (IE) for only the highest-risk patients. Whether this change affected the use of antibiotic prophylaxis and the incidence of IE is unclear. METHODS: IE-related hospitalizations were identified from 2002 to 2014 among all adults and those at high and moderate risk for IE, stratified by age. Prescriptions for antibiotic prophylaxis were obtained from the Ontario Drug Benefit database for adults ≥65 years of age. Outcomes were antibiotic prophylaxis prescription rates and incidence of IE-related hospitalization. Trends in patient and pathogen characteristics were analyzed. Time series analyses were performed with segmented regression and change-point analyses. RESULTS: Prescriptions for antibiotic prophylaxis decreased substantially in the moderate-risk cohort after the guideline revision (mean quarterly prescriptions, 30 680 versus 17 954 [level change, -6,481; P=0.0004] per 1 million population) with a minimal, yet significant, decrease followed by a slow increase in the high-risk group. There were 7551 IE-related hospitalizations among 6884 adults ≥18 years of age. Among adults ≥65 years of age, the mean IE rate increased from 872 to 1385 and 229 to 283 per 1 million population at risk per quarter in the high- and moderate-risk groups, respectively. Change-point analyses indicated that this increase occurred in the second half of 2010 in adults ≥65 years of age, 3 years after the American Heart Association guideline revision. Staphylococcus aureus and streptococcal species accounted for 30.3% and 26.4% of all IE, with a decrease in streptococcal infections over time. CONCLUSIONS: Antibiotic prophylaxis decreased significantly in the moderate-risk group with minimal change in the high-risk group after the American Heart Association guideline revision in 2007. However, IE-related hospitalizations increased among both high- and moderate-risk patients 3 years after the revision. Our study provides support for the cessation of antibiotic prophylaxis in the moderate-risk population.

Clinical outcomes for chest pain patients discharged home from emergency departments using high-sensitivity versus conventional cardiac troponin assays.

BACKGROUND: High-sensitivity cardiac troponin (hs-cTn) assays enhance detection of lower circulating troponin concentrations, but the impact on outcomes in clinical practice is unclear. Our objective was to compare outcomes of chest pain patients discharged from emergency departments (EDs) using hs-cTn and conventional troponin (cTn) assays. METHODS: We conducted an observational study of chest pain patients aged 40-105 years who presented to an ED from April 1, 2013, to March 31, 2017, and were discharged home. We compared 30-day and 1-year outcomes of EDs that used hs-cTn versus cTn assays. The primary outcome was a composite of all-cause death, myocardial infarction or unstable angina. Comparisons were conducted with (1) no adjustment; (2) adjustment for demographic, socioeconomic, and hospital characteristics; and (3) full clinical adjustment. RESULTS: Among the 394,910 patients, 62,138 (15.7%) were evaluated at hs-cTn EDs and 332,772 (84.3%) were evaluated at cTn EDs. Patients discharged from hs-cTn EDs were less likely to have diabetes, hypertension, or prior heart disease. At 30 days, the unadjusted primary outcome rate was lower in hs-cTn EDs (0.9% vs 1.0%, P < .001). The 30-day hazard ratios for the primary outcome were 0.84 (95% CI 0.77-0.92) for no adjustment and 0.98 (95% CI 0.88-1.08) for full adjustment. Over 1 year, patients discharged from hs-cTn EDs had significantly fewer primary outcomes (3.7% vs 4.1%, P < .001) and lower hazard ratio (0.93; 95% CI 0.89-0.98) even after full adjustment. CONCLUSIONS: Hs-cTn testing was associated with a significantly lower adjusted hazard of myocardial infarction, angina, and all-cause hospitalization at 1 year but not 30 days.

Socioeconomic Status and Days Alive and Out of Hospital after Major Elective Noncardiac Surgery: A Population-based Cohort Study.

BACKGROUND: Socioeconomic status is an important but understudied determinant of preoperative health status and postoperative outcomes. Previous work has focused on the impact of socioeconomic status on mortality, hospital stay, or complications. However, individuals with low socioeconomic status are also likely to have fewer supports to facilitate them remaining at home after hospital discharge. Thus, such patients may be less likely to return home over the short and intermediate term after major surgery. The newly validated outcome, days alive and out of hospital, may be highly suited to evaluating the impact of socioeconomic status on this postdischarge period. The study aimed to determine the association of socioeconomic status with short and intermediate term postoperative recovery as measured by days alive and out of hospital. METHODS: The authors evaluated data from 724,459 adult patients who had one of 13 elective major noncardiac surgical procedures between 2006 and 2017. Socioeconomic status was measured by median neighborhood household income (categorized into quintiles). Primary outcome was days alive and out of hospital at 30 days, while secondary outcomes included days alive and out of hospital at 90 and 180 days, and 30-day mortality. RESULTS: Compared to the highest income quintile, individuals in the lowest quintile had higher unadjusted risks of postoperative complications (6,049 of 121,099 [5%] vs. 6,216 of 160,495 [3.9%]) and 30-day mortality (731 of 121,099 [0.6%] vs. 701 of 160,495 [0.4%]) and longer mean postoperative length of stay (4.9 vs. 4.4 days). From lowest to highest income quintile, the mean adjusted days alive and out of hospital at 30 days after surgery varied between 24.5 to 24.9 days. CONCLUSIONS: Low socioeconomic status is associated with fewer days alive and out of hospital after surgery. Further research is needed to examine the underlying mechanisms and develop posthospital interventions to improve postoperative recovery in patients with fewer socioeconomic resources.