Machine Learning For Risk Prediction After Heart Failure Emergency Department Visit or Hospital Admission Using Administrative Health Data.

AIMS: Patients visiting the emergency department (ED) or hospitalized for heart failure (HF) are at increased risk for subsequent adverse outcomes, however effective risk stratification remains challenging. We utilized a machine-learning (ML)-based approach to identify HF patients at risk of adverse outcomes after an ED visit or hospitalization using a large regional administrative healthcare data system. METHODS AND RESULTS: Patients visiting the ED or hospitalized with HF between 2002-2016 in Alberta, Canada were included. Outcomes of interest were 30-day and 1-year HF-related ED visits, HF hospital readmission or all-cause mortality. We applied a feature extraction method using deep feature synthesis from multiple sources of health data and compared performance of a gradient boosting algorithm (CatBoost) with logistic regression modelling. The area under receiver operating characteristic curve (AUC-ROC) was used to assess model performance. We included 50,630 patients with 93,552 HF ED visits/hospitalizations. At 30-day follow-up in the holdout validation cohort, the AUC-ROC for the combined endpoint of HF ED visit, HF hospital readmission or death for the Catboost and logistic regression models was 74.16 (73.18-75.11) versus 62.25 (61.25-63.18), respectively. At 1-year follow-up corresponding values were 76.80 (76.1-77.47) versus 69.52 (68.77-70.26), respectively. AUC-ROC values for the endpoint of all-cause death alone at 30-days and 1-year follow-up were 83.21 (81.83-84.41) versus 69.53 (67.98-71.18), and 85.73 (85.14-86.29) versus 69.40 (68.57-70.26), for the CatBoost and logistic regression models, respectively. CONCLUSIONS: ML-based modelling with deep feature synthesis provided superior risk stratification for HF patients at 30-days and 1-year follow-up after an ED visit or hospitalization using data from a large administrative regional healthcare system.

Premature Acute Myocardial Infarction Treated With Invasive Revascularization: Comparing STEMI With NSTEMI in a Population-Based Study of Young Patients.

BACKGROUND: Acute myocardial infarction (AMI) usually presents in older populations, in which there are established demographic and outcome differences for ST-elevation myocardial infarction (STEMI) and non-STEMI (NSTEMI). No similar comparisons for AMI in the young population exist. METHODS: We compared all index NSTEMI and STEMI hospitalizations in young (18-45 years) patients who required revascularization in Alberta, Canada. Outcomes were survival to discharge, and a composite of heart failure hospitalization, cardiac arrest hospitalization, and all-cause mortality at 1 and 5 years. RESULTS: There were 1679 patients included with an index AMI who required revascularization: 655 (39.0%) NSTEMI and 1024 (61.0%) STEMI. The population was disproportionately male (86%), particularly in STEMI patients (87.3%). Marked dyslipidemia (35%) and active smoking (42%) were common, with similar rates among groups. Percutaneous coronary intervention was used in 98.7% of STEMI and 91.5% of NSTEMI patients (P < 0.001), with the remainder who underwent surgical revascularization. The in-hospital mortality rate during index AMI was higher in STEMI compared with NSTEMI patients (1.7% vs 0%; P < 0.001). The rates of the composite outcome were similar for both groups at 1 and 5 years of follow-up in patients who survived to index hospital discharge. After adjusting for sex, age, heart failure and/or cardiac arrest at index AMI, outcomes remained similar among groups at 1 and 5 years. CONCLUSIONS: In young patients with AMI, STEMI was a disproportionately male phenomenon and associated with higher mortality at index hospitalization. One-year and 5-year outcomes were similar among STEMI and NSTEMI patients in those discharged alive at index AMI. Smoking and dyslipidemia appear to be major risk factors in the young.

Diagnostic and Prognostic Electrocardiogram-Based Models for Rapid Clinical Applications.

Leveraging artificial intelligence (AI) for the analysis of electrocardiograms (ECGs) has the potential to transform diagnosis and estimate the prognosis of not only cardiac but, increasingly, noncardiac conditions. In this review, we summarize clinical studies and AI-enhanced ECG-based clinical applications in the early detection, diagnosis, and estimating prognosis of cardiovascular diseases in the past 5 years (2019-2023). With advancements in deep learning and the rapid increased use of ECG technologies, a large number of clinical studies have been published. However, most of these studies are single-centre, retrospective, proof-of-concept studies that lack external validation. Prospective studies that progress from development toward deployment in clinical settings account for < 15% of the studies. Successful implementations of ECG-based AI applications that have received approval from the Food and Drug Administration have been developed through commercial collaborations, with approximately half of them being for mobile or wearable devices. The field is in its early stages, and overcoming several obstacles is essential, such as prospective validation in multicentre large data sets, addressing technical issues, bias, privacy, data security, model generalizability, and global scalability. This review concludes with a discussion of these challenges and potential solutions. By providing a holistic view of the state of AI in ECG analysis, this review aims to set a foundation for future research directions, emphasizing the need for comprehensive, clinically integrated, and globally deployable AI solutions in cardiovascular disease management.

Canadian Cost-Effectiveness of Coronary Artery Calcium Screening Based on the Multi-Ethnic Study of Atherosclerosis.

Background: Cost-effectiveness of testing for coronary artery calcium (CAC) relative to other treatment strategies is not established in Canada. Objectives: The purpose of this study was to evaluate the cost-effectiveness of using CAC score-guided statin treatment compared with universal statin therapy among intermediate-risk, primary prevention patients eligible for statins. Methods: A state transition, microsimulation model used data from Canadian sources and the Multi-Ethnic Study of Atherosclerosis to simulate clinical and economic consequences of cardiovascular disease from a Canadian publicly funded health care system perspective. In the CAC score-guided treatment arm, statins were started when CAC ≥1. Outcome of interest was the incremental cost-effectiveness ratio at 5 and 10 years; an incremental cost-effectiveness ratio <$50,000 per quality-adjusted life year (QALY) gained was considered cost-effective. Sensitivity analyses examined uncertainty in model parameters. Results: Compared with universal statin treatment at 5 and 10 years, CAC score-guided statin treatment was projected to increase mean costs by $326 (95% CI: $325-$326) and $172 (95% CI: $169-$175), increase mean QALYs by 0.01 (95% CI: 0.01-0.01) and 0.02 (95% CI: 0.02-0.02), and cost $54,492 (95% CI: $52,342-$56,816) and $8,118 (95% CI: $7,968-$8,279) per QALY gained, respectively. The model was most sensitive to statin cost, CAC testing cost, adherence to statin monitoring, and disutility associated with daily statin use. At 5 years, CAC score-guided statin treatment was cost-effective when CAC test costs ranged from $80 to $160 in different scenarios. Conclusions: CAC score-guided statin initiation in comparison to universal statin treatment was borderline cost-neutral at 5 years and cost-effective at 10 years in statin-eligible Canadian patients at intermediate cardiovascular disease risk.

Outrunning the grim reaper: longevity of the first 200 sub-4 min mile male runners.

OBJECTIVES: To determine the impact of running a sub-4 min mile on longevity. It was hypothesised that there would be an increase in longevity for runners who successfully completed a sub-4 min mile compared with the general population. METHODS: As part of this retrospective cohort study, the Sub-4 Alphabetic Register was used to extract the first 200 athletes to run a sub-4 min mile. Each runner's date of birth, date of their first successful mile attempt, current age (if alive) or age at death was compared with the United Nations Life Tables to determine the difference in each runner's current age or age at death with their country of origin-specific life expectancy. RESULTS: Of the first 200 sub-4 min mile runners (100% male), 60 were dead (30%) and 140 were still alive. Sub-4 min mile runners lived an average of 4.7 years beyond their predicted life expectancy (95% CI 4.7 to 4.8). When accounting for the decade of completion (1950s, 1960s or 1970s), the longevity benefits were 9.2 years (n=22; 95% CI 8.3 to 10.1), 5.5 years (n=88; 95% CI 5.3 to 5.7) and 2.9 years (n=90; 95% CI 2.7 to 3.1), respectively. CONCLUSION: Sub-4 min mile runners have increased longevity compared with the general population, thereby challenging the notion that extreme endurance exercise may be detrimental to longevity.

Development and validation of machine learning algorithms based on electrocardiograms for cardiovascular diagnoses at the population level.

Artificial intelligence-enabled electrocardiogram (ECG) algorithms are gaining prominence for the early detection of cardiovascular (CV) conditions, including those not traditionally associated with conventional ECG measures or expert interpretation. This study develops and validates such models for simultaneous prediction of 15 different common CV diagnoses at the population level. We conducted a retrospective study that included 1,605,268 ECGs of 244,077 adult patients presenting to 84 emergency departments or hospitals, who underwent at least one 12-lead ECG from February 2007 to April 2020 in Alberta, Canada, and considered 15 CV diagnoses, as identified by International Classification of Diseases, 10th revision (ICD-10) codes: atrial fibrillation (AF), supraventricular tachycardia (SVT), ventricular tachycardia (VT), cardiac arrest (CA), atrioventricular block (AVB), unstable angina (UA), ST-elevation myocardial infarction (STEMI), non-STEMI (NSTEMI), pulmonary embolism (PE), hypertrophic cardiomyopathy (HCM), aortic stenosis (AS), mitral valve prolapse (MVP), mitral valve stenosis (MS), pulmonary hypertension (PHTN), and heart failure (HF). We employed ResNet-based deep learning (DL) using ECG tracings and extreme gradient boosting (XGB) using ECG measurements. When evaluated on the first ECGs per episode of 97,631 holdout patients, the DL models had an area under the receiver operating characteristic curve (AUROC) of <80% for 3 CV conditions (PTE, SVT, UA), 80-90% for 8 CV conditions (CA, NSTEMI, VT, MVP, PHTN, AS, AF, HF) and an AUROC > 90% for 4 diagnoses (AVB, HCM, MS, STEMI). DL models outperformed XGB models with about 5% higher AUROC on average. Overall, ECG-based prediction models demonstrated good-to-excellent prediction performance in diagnosing common CV conditions.

Uptake of SGLT2i and Outcomes in Patients with Diabetes and Heart Failure: A Population-Based Cohort and a Specialized Clinic Cohort.

BACKGROUND: Sodium-glucose cotransporter-2 (SGLT2) inhibitors are effective in adults with diabetes mellitus (DM) and heart failure (HF) based on randomized clinical trials. We compared SGLT2 inhibitor uptake and outcomes in two cohorts: a population-based cohort of all adults with DM and HF in Alberta, Canada and a specialized heart function clinic (HFC) cohort. METHODS: The population-based cohort was derived from linked provincial healthcare datasets. The specialized clinic cohort was created by chart review of consecutive patients prospectively enrolled in the HFC between February 2018 and August 2022. We examined the association between SGLT2 inhibitor use (modeled as a time-varying covariate) and all-cause mortality or deaths/cardiovascular hospitalizations. RESULTS: Of the 4,885 individuals from the population-based cohort, 64.2% met the eligibility criteria of the trials proving the effectiveness of SGLT2 inhibitors. Utilization of SGLT2 inhibitors increased from 1.2% in 2017 to 26.4% by January 2022. In comparison, of the 530 patients followed in the HFC, SGLT2 inhibitor use increased from 9.8% in 2019 to 49.1 % by March 2022. SGLT2 inhibitor use in the population-based cohort was associated with fewer all-cause mortality (aHR 0.51, 95%CI 0.41-0.63) and deaths/cardiovascular hospitalizations (aHR 0.65, 95%CI 0.54-0.77). However, SGLT2 inhibitor usage rates were far lower in HF patients without DM (3.5% by March 2022 in the HFC cohort). CONCLUSIONS: Despite robust randomized trial evidence of clinical benefit, the uptake of SGLT2 inhibitors in patients with HF and DM remains low, even in the specialized HFC. Clinical care strategies are needed to enhance the use of SGLT2 inhibitors and improve implementation.

Association Between Hemoglobin A1c and Development of Cardiovascular Disease in Canadian Men and Women Without Diabetes at Baseline: A Population-Based Study of 608 474 Adults.

BACKGROUND: We examined the association between hemoglobin A1c (HbA1c) and the development of cardiovascular disease (CVD) in men and women, without diabetes or CVD at baseline. METHODS AND RESULTS: This retrospective cohort study included adults aged 40 to <80 years in Alberta, Canada. Men and women were divided into categories based on a random HbA1c during a 3-year enrollment period. The primary outcome of CVD hospitalization and secondary outcome of combined CVD hospitalization/mortality were examined during a 5-year follow-up period until March 31, 2021. A total of 608 474 individuals (55.2% women) were included. Compared with HbA1c 5.0% to 5.4%, men with HbA1c of 5.5% to 5.9% had an increased risk of CVD hospitalization (adjusted hazard ratio [aHR], 1.12 [95% CI, 1.07-1.19]) whereas women did not (aHR, 1.01 [95% CI, 0.95-1.08]). Men and women with HbA1c of 6.0% to 6.4% had a 38% and 17% higher risk and men and women with HbA1c ≥6.5% had a 79% and 51% higher risk of CVD hospitalization, respectively. In addition, HbA1c of 6.0% to 6.4% and HbA1c ≥6.5% were associated with a higher risk (14% and 41%, respectively) of CVD hospitalization/death in men, but HbA1c ≥6.5% was associated with a 24% higher risk only among women. CONCLUSIONS: In both men and women, HbA1c ≥6.0% was associated with an increased risk of CVD and mortality outcomes. The association between CVD and HbA1c levels of 5.5% to 5.9%, considered to be in the "normal" range, highlights the importance of optimizing cardiovascular risk profiles at all levels of glycemia, especially in men.

Applicability and impact of the COMPASS trial in a Canadian population of patients with atherosclerotic disease.

BACKGROUND AND AIMS: In the COMPASS trial, low-dose rivaroxaban with aspirin improved cardiovascular outcomes in patients with atherosclerotic cardiovascular disease (ASCVD). We aimed to assess the potential clinical implications of this therapy in a generalizable population. METHODS AND RESULTS: A retrospective cohort of adults with ASVCD was formed using healthcare administrative databases in Alberta, Canada (population 4.4 million). Patients with a new diagnosis between 2008 and 2019 formed the epidemiological cohort (n = 224,600) and those with long-term follow-up (>5 years) formed the outcomes cohort (n = 232,460). The primary outcome of major adverse cardiovascular events (MACE) was assessed and categorized based on the COMPASS trial eligibility. In the outcomes cohort, 77% had only coronary artery disease, 15% had only peripheral artery disease, and 8% had both. Of those, 37% met the COMPASS trial eligibility criteria, 36% met exclusion criteria and 27% did not meet inclusion criteria. Over a median of 7.8 years, the COMPASS exclusion group demonstrated the highest rate of MACE (5.9 per 100 person-years), following by the eligible group and the group that did not meet COMPASS inclusion criteria (3.1 and 1.4 per 100 person-years respectively). The expected net clinical benefit of antithrombotic therapy in the eligible group was 5.6 fewer events per 1000 person-years. CONCLUSIONS: In a real-world population of 4.4 million adults, there are roughly 20,000 new cases of ASVCD diagnosed yearly, with ∼40% being eligible for the addition of low-dose rivaroxaban therapy to antiplatelet therapy. The theoretical implementation of dual antithrombotic treatment in this population could result in a substantial reduction in cardiovascular morbidity and mortality.

Outcomes of management strategies in patients with prior coronary artery bypass grafting presenting with an acute coronary syndrome.

BACKGROUND: Patients with prior coronary artery bypass grafting (CABG) presenting with an acute coronary syndrome (ACS) have poor outcomes and the optimal treatment strategy for this population is unknown. METHODS: Using linked administrative databases, we examined patients with an ACS between 2008 and 2019, identifying patients with prior CABG. Patients were categorized by ACS presentation type and treatment strategy. Our primary outcome was the composite of death and recurrent myocardial infarction at one year. RESULTS: Of 54,641 patients who presented with an ACS, 1670 (3.1%) had a history of prior CABG. Of those, 11.0% presented with an ST-elevation myocardial infarction (STEMI) of which, 15.3% were treated medically, 31.1% underwent angiography but were treated medically, 22.4% with fibrinolytic therapy and 31.1% with primary PCI. The primary outcome rate was the highest (36.8%) in patients who did not undergo angiography and was similar in the primary PCI (20.8%) and fibrinolytic group (21.9%). In patients presenting with a non-ST elevation acute coronary syndrome (NSTE-ACS) (89.0%), 33.2% were treated medically, 38.5% underwent angiography but were treated medically and 28.2% were treated with PCI. Compared to those who underwent PCI, patients treated conservatively demonstrated a higher risk of the composite outcome (14.8% vs 27.3%; adjusted hazard ratio 1.70, 95% confidence interval 1.22-2.37). CONCLUSIONS: Patients with prior CABG presenting with an ACS are often treated conservatively without PCI, which is associated with a higher risk of adverse events.

Iron Deficiency, Anemia, and Iron Supplementation in Patients With Heart Failure: A Population-Level Study.

BACKGROUND: Studies have shown an association between iron deficiency (ID) and clinical outcomes in patients with heart failure (HF), irrespective of the presence of ID anemia (IDA). The current study used population-level data from a large, single-payer health care system in Canada to investigate the epidemiology of ID and IDA in patients with acute HF and those with chronic HF, and the iron supplementation practices in these settings. METHODS: All adult patients with HF in Alberta between 2012 and 2019 were identified and categorized as acute or chronic HF. HF subtypes were determined through echocardiography data, and ID (serum ferritin concentration <100 µg/L, or ferritin concentration between 100 and 300 µg/L along with transferrin saturation <20%), and IDA through laboratory data. Broad eligibility for 3 clinical trials (AFFIRM-AHF [Study to Compare Ferric Carboxymaltose With Placebo in Patients With Acute HF and ID], IRONMAN [Intravenous Iron Treatment in Patients With Heart Failure and Iron Deficiency], and HEART-FID [Randomized Placebocontrolled Trial of Ferric Carboxymaltose as Treatment for HF With ID]) was determined. RESULTS: Among the 17 463 patients with acute HF, 38.5% had iron studies tested within 30 days post-index-HF episode (and 34.2% of the 11 320 patients with chronic HF). Among tested patients, 72.6% of the acute HF and 73.9% of the chronic HF were iron-deficient, and 51.4% and 49.0% had IDA, respectively. Iron therapy was provided to 41.8% and 40.5% of patients with IDA and acute or chronic HF, respectively. Of ID patients without anemia, 19.9% and 21.7% were prescribed iron therapy. The most common type of iron therapy was oral (28.1% of patients). Approximately half of the cohort was eligible for each of the AFFIRM-AHF, intravenous iron treatment in patients with HF and ID, and HEART-FID trials. CONCLUSIONS: Current practices for investigating and treating ID in patients with HF do not align with existing guideline recommendations. Considering the gap in care, innovative strategies to optimize iron therapy in patients with HF are required.

Relationships Between Measures of the Physical Activity-Related Built Environment and Excess Weight in Preschoolers: A Retrospective, Population-Level Cohort Study.

Background: The built environment can impact health outcomes. Our purpose was to examine relationships between built environment variables related to physical activity and excess weight in preschoolers. Methods: In this retrospective, population-level study of 4- to 6-year-olds, anthropometric measurements were taken between 2009 and 2017 in Calgary and Edmonton, Alberta, Canada. Based on BMI z-scores (BMIz), children were classified as normal weight (-2 ≤ BMIz <1) or excess weight (BMIz ≥1; overweight and obesity). Physical activity-related built environment variables were calculated (distances to nearest playground, major park, school; street intersection density; number of playgrounds and major parks within an 800 m buffer zone). Binomial logistic regression models estimated associations between physical activity-related built environment variables and excess weight. Results: Our analysis included 140,368 participants (females: n = 69,454; Calgary: n = 84,101). For Calgary, adjusted odds ratios (aORs) showed the odds of excess weight increased 1% for every 100-intersection increase [1.010 (1.006-1.015); p < 0.0001] and 13.6% when there were ≥4 playgrounds (vs. 0 or 1) within an 800 m buffer zone [1.136 (1.037-1.243); p = 0.0059]. For Edmonton, aORs revealed lower odds of excess weight for every 100 m increase in distances between residences to nearest major park [0.991 (0.986-0.996); p = 0.0005] and school [0.992 (0.990-0.995); p < 0.0001]. The odds of excess weight decreased as the number of major parks within the 800 m buffer zone increased from 0 to 1 [0.943 (0.896-0.992); p = 0.023] and from 0 to ≥3 [0.879 (0.773-0.999); p = 0.048]. Conclusion: The physical activity-related built environment was associated with excess weight in preschoolers, although relationships varied between cities that differed demographically and geographically.

Real-world Use and Outcomes of Sodium-Glucose Cotransporter-2 Inhibitors in Adults With Diabetes and Heart Failure: A Population-level Cohort Study in Alberta, Canada.

OBJECTIVES: Since 2016, clinical guidelines have recommended sodium-glucose cotransporter-2 inhibitors (SGLT2is) for people with type 2 diabetes with heart failure. We examined SGLT2i dispensation, factors associated with dispensation, and heart failure hospitalization and all-cause mortality in people with diabetes and heart failure. METHODS: This retrospective, population-based cohort study identified people with diabetes and heart failure between January 1, 2014, and December 31, 2017, in Alberta, Canada, and followed them for a minimum of 3 years for SGLT2i dispensation and outcomes. Multivariate logistic regression assessed the factors associated with SGTL2i dispensation. Propensity scores were used with regression adjustment to estimate the effect of SGLT2i treatment on heart failure hospitalization. RESULTS: Among 22,025 individuals with diabetes and heart failure (43.4% women, mean age 74.7±11.8 years), only 10.2% were dispensed an SGLT2i. Male sex, age <65 years, a higher baseline glycated hemoglobin, no chronic kidney disease, presence of atherosclerotic cardiovascular disease, and urban residence were associated with SGLT2i dispensation. Lower heart failure hospitalization rates were observed in those with SGLT2i dispensation (548.1 per 100 person-years) vs those without (813.5 per 1,000 person-years; p<0.001) and lower all-cause mortality in those with an SGLT2i than in those without (48.5 per 1,000 person-years vs 206.1 per 1,000 person-years; p<0.001). Regression adjustment found SGLT2i therapy was associated with a 23% reduction in hospitalization. CONCLUSIONS: SGLT2is were dispensed to only 10% of people with diabetes and established heart failure, underscoring a significant care gap. SGLT2i use was associated with a real-world reduction in heart failure hospitalization and all-cause death. This study highlights an important opportunity to optimize SGLT2i use.

Sex Differences in High-Cost Users of Healthcare for Atrial Fibrillation.

Background: Healthcare resource use for atrial fibrillation (AF) is high, but it may not be equivalent across all patients. We examined whether sex differences exist for AF high-cost users (HCUs), who account for the top 10% of total acute care costs. Methods: All patients aged ≥ 20 years who presented to the emergency department (ED) or were hospitalized with AF were identified in Alberta, Canada, between 2011 and 2015. The cohort was categorized by sex into HCUs and non-HCUs. Healthcare utilization was defined as ED, hospital, and physician visits, and costs included those for hospitalization, ambulatory care, physician billing, and drugs. All costs were inflated to 2022 Canadian dollars (CAD$). Results: Among 48,030 AF patients, 45.1% were female. Of these, 31.8% were HCUs, and the proportions of female and male patients were equal (31.9% vs 31.7%). Female HCUs were older, more likely to have hypertension and heart failure, and had a higher stroke risk than male HCUs. Mean healthcare utilization did not differ among HCUs by sex, except for number of ED visits, which was higher in male patients (12.7% vs 9.2%, P < 0.0001). Overall, HCUs accounted for 65.8% of the total costs (CAD$3.4 billion). Almost half of total HCU costs were attributable to female HCUs (CAD$966.1 million). Significant differences were present in the distributions of HCU-related costs (male patients: 74.6% hospitalization, 9.5% ambulatory care, 12.4% physician billing, 3.5% drugs; female patients: 77.7% hospitalization, 7.4% ambulatory care, 11.5% physician billing, 3.5% drugs, P < 0.0001). Conclusions: Despite having a lower AF prevalence, female patients represent an equal proportion of HCUs, and account for almost half the total HCU costs. Interventions targeted at reducing the number of AF HCU are needed, particularly for female patients.

Contexte: L'utilisation des ressources en santé est élevée pour la fibrillation auriculaire (FA), mais elle n'est pas forcément équivalente pour tous les patients. Nous avons examiné s'il existait des différences entre les sexes pour ce qui est des cas très coûteux de FA, qui représentent les 10 % supérieurs des coûts totaux de soins de courte durée. Méthodologie: Tous les patients âgés de 20 ans et plus qui se sont présentés au service des urgences ou qui ont été hospitalisés pour une FA ont été répertoriés en Alberta, au Canada, entre 2011 et 2015. La cohorte a été divisée par sexe en fonction des utilisateurs très coûteux et des autres utilisateurs. L'utilisation des soins de santé était définie comme des consultations aux urgences, à l'hôpital ou chez le médecin, et les coûts comprenaient les hospitalisations, les soins ambulatoires, les honoraires des médecins et les médicaments. Tous les coûts ont été convertis en dollars canadiens ($ CA) de 2022. Résultats: Parmi les 48 030 patients atteints de FA, 45,1 % étaient des femmes et 31,8 % étaient des utilisateurs très coûteux, en proportions égales entre les femmes et les hommes (31,9 % vs 31,7 %). Parmi les utilisateurs très coûteux, les femmes étaient plus âgées, plus susceptibles de présenter de l'hypertension et une insuffisance cardiaque, et leur risque d'AVC était plus élevé comparativement aux hommes. L'utilisation moyenne des soins de santé n'affichait pas de différences chez les utilisateurs très coûteux selon le sexe, à l'exception des consultations aux urgences, qui étaient plus fréquentes chez les hommes (12,7 % vs 9,2 %, p < 0,0001). Dans l'ensemble, les utilisateurs très coûteux représentaient 65,8 % des coûts totaux, qui étaient de 3,4 milliards de dollars canadiens. Les femmes représentaient par ailleurs près de la moitié du total des utilisations très coûteuses (966,1 millions de dollars canadiens). Des différences significatives ont été observées quant à la répartition des coûts liés aux utilisateurs très coûteux (hommes : hospitalisations [74,6 %], soins ambulatoires [9,5 %], honoraires des médecins [12,4 %], médicaments [3,5 %]; femmes : hospitalisations [77,7 %], soins ambulatoires [7,4 %], honoraires des médecins [11,5 %], médicaments [3,5 %], p < 0,0001). Conclusions: Bien que la FA soit moins fréquente chez les femmes que chez les hommes, celles-ci représentent une proportion tout aussi importante des utilisations très coûteuses et comptent pour presque la moitié des coûts totaux attribuables aux utilisateurs très coûteux. Des interventions visant à réduire les utilisations très coûteuses pour la FA sont donc nécessaires, particulièrement chez les femmes.

Impact of inherited bleeding disorders on maternal bleeding and other pregnancy outcomes: A population-based cohort study.

INTRODUCTION: Increasing rate of postpartum haemorrhage (PPH) has been observed between 2003 and 2010 in Canada. Inherited bleeding disorders contribute to the risk of PPH. AIM: To identify the trend in PPH in the last decade, assess the impact of bleeding disorders on pregnancy outcomes and evaluate their coagulation workup during pregnancy. METHODS: We conducted a population-based retrospective cohort study using the Alberta Pregnancy Birth Cohort from 2010 to 2018. We included women with von Willebrand disease (VWD) and haemophilia, identified by previously validated algorithm and matched with controls. Logistic regression was used to compute odds of PPH and other pregnancy outcomes. RESULTS: We identified 311,330 women with a total of 454,400 pregnancies with live births. The rate of PPH did not change significantly from 10.13 per 100 deliveries (95% CI 10.10-10.16) in 2010-10.72 (95% CI 10.69-10.75) in 2018 (p for trend = .35). Women with bleeding disorders were significantly more likely to experience PPH (odds ratio [OR] 2.3; 95% CI 1.5-3.6), antepartum haemorrhage (OR 2.9; 95% CI 1.5-5.9) and red cell transfusion (OR 2.8; 95% CI 1.1-7.0). We observed a nonsignificant rise in the rate of PPH in women with VWD and haemophilia. Only 49.5% pregnancies with bleeding disorders had third trimester coagulation factor levels checked. Higher odds of PPH and antepartum haemorrhage were observed even with factor levels ≥0.50 IU/mL in third trimester. CONCLUSION: Despite comprehensive care in women with bleeding disorders, they are still at higher risk of adverse pregnancy outcomes compared to population controls.

Lower Socioeconomic Status is Associated with an Increased Incidence and Spectrum of Major Congenital Heart Disease and Associated Extracardiac Pathology.

Several studies have suggested an inverse relationship between lower socioeconomic status (SES) and the incidence of congenital heart disease (CHD) among live births. We sought to examine this relationship further in a Canada-wide population study, exploring CHD subtypes, trends, and associated noncardiac abnormalities. Infants born in Canada (less Quebec) from 2008 to 2018 with CHD requiring intervention in the first year were identified using ICD-10 codes through the Canadian Institute for Health Information Discharge Abstract Database. Births of CHD patients were stratified by SES (census-based income quintiles) and compared against national birth proportions using X2 tests. Proportions with extracardiac defects (ED) and nonlethal genetic syndromes (GS) were also explored. From 2008 to 2018, 7711 infants born with CHD were included. The proportions of major CHD distributed across SES quintiles were 27.1%, 20.1%, 19.2%, 18.6%, and 15.0% from lowest to highest, with significant differences relative to national birth proportions (22.0%, 20.0%, 20.6%, 20.7%, and 16.7% from lowest (1) to highest (5)) (p < 0.0001). No temporal trends in the CHD proportions across SES categories were observed over the study period. The distribution across SES quintiles was different only for specific CHD subtypes (double-outlet right ventricle (n = 485, p = 0.03), hypoplastic left heart syndrome (n = 547, p = 0.006), heterotaxy (n = 224, p = 0.03), tetralogy of Fallot (n = 1007, p = 0.008), truncus arteriosus (n = 126, p < 0.0001), and ventricular septal defect (n = 1916, p < 0.0001)), with highest proportions observed in the lowest quintile. The proportion of the total population with ED but not GS was highest in lower SES quintiles (< 0.0001) commensurate with increased proportion of CHD. Our study suggests a negative association between SES and certain CHD lesions and ED.

Impact of a modified screening approach during the COVID-19 pandemic on the diagnosis and outcomes of gestational diabetes mellitus: A population-level analysis of 90,518 pregnant women.

AIMS: To provide real-world evidence on the uptake of and outcomes associated with the modified gestational diabetes mellitus (GDM) screening approach offered during the COVID-19 pandemic compared with the standard screening approach. METHODS: All pregnancies between 01 January 2020 and 31 December 2021, in Alberta, Canada, were included in the study. We examined GDM screening and diagnosis rates, and large-for-gestational-age (LGA) outcomes. RESULTS: Annual GDM screening rates were > 95% during the study time period. Overall, 84.7%, and 11.6% of the 92,505 pregnancies underwent standard and modified screening for GDM, respectively. The use of modified screening was the highest among deliveries in August 2020 (49.8%) which corresponded to the early first wave of the pandemic. GDM diagnosis rate was lower in the modified screening (7.4%) than in the standard screening (12.3%, p < 0.001) group. The LGA rates in the modified screening with GDM and the standard screening with GDM groups were 24.8% and 12.6%, respectively (p < 0.001). Women in the modified screening with GDM group were at a higher risk of having an LGA infant (adjusted odds ratio: 3.46; 95% confidence interval: 2.93, 4.08) compared to the standard screening with no GDM group. CONCLUSIONS: The COVID-19 epidemic had no impact on screening for GDM. Women who underwent modified screening, based on HbA1c/random plasma glucose, had lower rates of GDM cases.

Gestational diabetes: One size does not fit all-an observational study of maternal and neonatal outcomes by maternal glucose profile.

OBJECTIVES: To examine obstetrical and neonatal outcomes across maternal glucose profiles at the population level and to explore insulin sensitivity and beta-cell function across profiles in an independent, well-phenotyped cohort for potential pathophysiologic explanation. RESEARCH DESIGN AND METHODS: Observational cohort study of all pregnancies with gestational diabetes screening between October 2008 and December 2018 resulting in live singleton birth in Alberta, Canada (n = 436,773) were categorized into seven maternal glucose profiles: (1) normal 50 g-glucose challenge test (nGCT), (2) normal 75-g OGTT (nOGTT), (3) isolated elevated 1 h post-load glucose (ePLPG1), (4) isolated elevated 2 h post-load glucose (ePLPG2), (5) elevated 1 and 2 h post-load glucose (ePLPG12), (6) isolated elevated FPG (eFPG), and (7) elevated FPG + elevated 1-h and/or 2-h PLG (Combined). Primary outcomes were large for gestational age (LGA) and neonatal intensive care unit (NICU) admission rates. An independent observational cohort of 1451 women was examined for measures of beta-cell function (ISSI-2, insulinogenic index/HOMA-IR) and insulin sensitivity/resistance (Matsuda index, HOMA-IR) by similar maternal glucose profiles. RESULTS: Pregnancies with elevated FPG, either isolated or combined, had higher adverse events and lower insulin sensitivity. The combination of elevated FPG + elevated 1-h and/or 2-h PLG had the highest rates of LGA(20.9%), NICU admissions (14.7%), and lowest insulin sensitivity as measured by Matsuda index and HOMA-IR, and beta-cell function as measured by ISSI-2 and Insulinogenic index/HOMA-IR. CONCLUSIONS: Elevated fasting plasma glucose, either alone or combined with post-load glucose elevation is associated with worse outcomes than isolated post-load glucose elevation, possibly due to higher degrees of insulin resistance. Future work is needed to better understand these differences, and explore whether tailored treatment of GDM can improve neonatal outcomes.

Time trends in preeclampsia and gestational diabetes in Denmark and Alberta, Canada, 2005-2018-A population-based cohort study.

INTRODUCTION: Preeclampsia and gestational diabetes mellitus share risk factors such as obesity and increased maternal age, which have become more prevalent in recent decades. We examined changes in the prevalence of preeclampsia and gestational diabetes between 2005 and 2018 in Denmark and Alberta, Canada, and investigated whether the observed trends can be explained by changes in maternal age, parity, multiple pregnancy, comorbidity, and body mass index (BMI) over time. MATERIAL AND METHODS: This study was a register-based cohort study conducted using data from the Danish National Health Registers and the provincial health registers of Alberta, Canada. We included in the study cohort all pregnancies in 2005-2018 resulting in live-born infants and used binomial regression to estimate mean annual increases in the prevalence of preeclampsia and gestational diabetes in the two populations across the study period, adjusted for maternal characteristics. RESULTS: The study cohorts included 846 127 (Denmark) and 706 728 (Alberta) pregnancies. The prevalence of preeclampsia increased over the study period in Denmark (2.5% to 2.9%) and Alberta (1.7% to 2.5%), with mean annual increases of 0.03 (95% confidence interval [CI] 0.02-0.04) and 0.06 (95% CI 0.05-0.07) percentage points, respectively. The prevalence of gestational diabetes also increased in Denmark (1.9% to 4.6%) and Alberta (3.9% to 9.2%), with average annual increases of 0.20 (95% CI 0.19-0.21) and 0.44 (95% CI 0.42-0.45) percentage points. Changes in the distributions of maternal age and BMI contributed to increases in the prevalence of both conditions but could not explain them entirely. CONCLUSIONS: The prevalence of both preeclampsia and gestational diabetes increased significantly from 2005 to 2018, which portends future increases in chronic disease rates among affected women. Increasing demand for long-term follow up and care will amplify the existing pressure on healthcare systems.