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The novel SARS-CoV-2 has directly and indirectly impacted patients with acute coronary syndrome (ACS). The onset of the COVID-19 pandemic correlated with an abrupt decline in hospitalizations with ACS and increased out-of-hospital deaths. Worse outcomes in ACS patients with concomitant COVID-19 have been reported, and acute myocardial injury secondary to SARS-CoV-2 infection is recognized. A rapid adaptation of existing ACS pathways has been required such that overburdened health care systems may manage both a novel contagion and existing illness. As SARS-CoV-2 is now endemic, future research is required to better define the complex interplay of COVID-19 infection and cardiovascular disease.

Aims The effect of the COVID-19 pandemic on care and outcomes across non-COVID-19 cardiovascular (CV) diseases is unknown. A systematic review and meta-analysis was performed to quantify the effect and investigate for variation by CV disease, geographic region, country income classification and the time course of the pandemic. Methods and results From January 2019 to December 2021, Medline and Embase databases were searched for observational studies comparing a pandemic and pre-pandemic period with relation to CV disease hospitalisations, diagnostic and interventional procedures, outpatient consultations, and mortality. Observational data were synthesised by incidence rate ratios (IRR) and risk ratios (RR) for binary outcomes and weighted mean differences for continuous outcomes with 95% confidence intervals. The study was registered with PROSPERO (CRD42021265930). A total of 158 studies, covering 49 countries and 6 continents, were used for quantitative synthesis. Most studies (80%) reported information for high-income countries (HICs). Across all CV disease and geographies there were fewer hospitalisations, diagnostic and interventional procedures, and outpatient consultations during the pandemic. By meta-regression, in low-middle income countries (LMICs) compared to HICs the decline in ST-segment elevation myocardial infarction (STEMI) hospitalisations (RR 0.79, 95% confidence interval [CI] 0.66–0.94) and revascularisation (RR 0.73, 95% CI 0.62–0.87) was more severe. In LMICs, but not HICs, in-hospital mortality increased for STEMI (RR 1.22, 95% CI 1.10–1.37) and heart failure (RR 1.08, 95% CI 1.04–1.12). The magnitude of decline in hospitalisations for CV diseases did not differ between the first and second wave. Conclusions There was substantial global collateral CV damage during the COVID-19 pandemic with disparity in severity by country income classification.

There is uncertainty regarding the impact of statins on the risk of atherosclerotic cardiovascular disease (ASCVD) and its major complication, acute heart failure (AHF).The aim of this study was to investigate whether previous statin therapy translates into lower AHF events and improved survival from AHF among patients presenting with an acute coronary syndrome (ACS) as a first manifestation of ASCVD.Data were drawn from the International Survey of Acute Coronary Syndromes Archives. The study participants consisted of 14,542 Caucasian patients presenting with ACS without previous ASCVD events. Statin users before the index event were compared with nonusers by using inverse probability weighting models. Estimates were compared by test of interaction on the log scale. Main outcome measures were the incidence of AHF according to Killip class and the rate of 30-day all-cause mortality in patients presenting with AHF.Previous statin therapy was associated with a significantly decreased rate of AHF on admission (4.3% absolute risk reduction; risk ratio [RR]: 0.72; 95% CI: 0.62-0.83) regardless of younger (40-75 years) or older age (interaction P = 0.27) and sex (interaction P = 0.22). Moreover, previous statin therapy predicted a lower risk of 30-day mortality in the subset of patients presenting with AHF on admission (5.2 % absolute risk reduction; RR: 0.71; 95% CI: 0.50-0.99).Among adults presenting with ACS as a first manifestation of ASCVD, previous statin therapy is associated with a reduced risk of AHF and improved survival from AHF. (International Survey of Acute Coronary Syndromes [ISACS] Archives; NCT04008173).

Standardized data definitions are essential for monitoring and benchmarking the quality of care and patient outcomes in observational studies and randomized controlled trials. There are no contemporary pan-European data standards for the acute coronary syndrome (ACS) and percutaneous coronary intervention (PCI). The European Unified Registries for Heart Care Evaluation and Randomised Trials (EuroHeart) project of the European Society of Cardiology (ESC) aimed to develop such data standards for ACS and PCI. Following a systematic review of the literature on ACS and PCI data standards and evaluation of contemporary ACS and PCI registries, we undertook a modified Delphi process involving clinical and registry experts from 11 European countries, as well as representatives from relevant ESC Associations, including the European Association of Percutaneous Cardiovascular Interventions (EAPCI) and Acute CardioVascular Care (ACVC). This resulted in final sets of 68 and 84 ‘mandatory’ variables and several catalogues of optional variables for ACS and PCI, respectively. Data definitions were provided for these variables, which have been programmed as the basis for continuous registration of individual patient data in the online EuroHeart IT platform. By means of a structured process and the interaction with major stakeholders, internationally harmonized data standards for ACS and PCI have been developed. In the context of the EuroHeart project, this will facilitate country-level quality of care improvement, international observational research, registry-based randomized trials, and post-marketing surveillance of devices and pharmacotherapies.

Aims This report from the European Society of Cardiology (ESC) Atlas Project updates and expands upon the widely cited 2019 report in presenting cardiovascular disease (CVD) statistics for the 57 ESC member countries. Methods and results Statistics pertaining to 2019, or the latest available year, are presented. Data sources include the World Health Organization, the Institute for Health Metrics and Evaluation, the World Bank, and novel ESC sponsored data on human and capital infrastructure and cardiovascular healthcare delivery. New material in this report includes sociodemographic and environmental determinants of CVD, rheumatic heart disease, out-of-hospital cardiac arrest, leftsided valvular heart disease, the advocacy potential of these CVD statistics, and progress towards World Health Organization (WHO) 2025 targets for non-communicable diseases. Salient observations in this report: (i) Females born in ESC member countries in 2018 are expected to live 80.8 years and males 74.8 years. Life expectancy is longer in high income (81.6 years) compared with middle-income (74.2 years) countries. (ii) In 2018, high-income countries spent, on average, four times more on healthcare than middle-income countries. (iii) The median PM2.5 concentrations in 2019 were over twice as high in middle-income ESC member countries compared with high-income countries and exceeded the EU air quality standard in 14 countries, all middle-income. (iv) In 2016, more than one in five adults across the ESC member countries were obese with similar prevalence in high and low-income countries. The prevalence of obesity has more than doubled over the past 35 years. (v) The burden of CVD falls hardest on middle-income ESC member countries where estimated incidence rates are ∼30% higher compared with high-income countries. This is reflected in disability-adjusted life years due to CVD which are nearly four times as high in middle-income compared with high-income countries. (vi) The incidence of calcific aortic valve disease has increased seven-fold during the last 30 years, with age-standardized rates four times as high in high-income compared with middle-income countries. (vii) Although the total number of CVD deaths across all countries far exceeds the number of cancer deaths for both sexes, there are 15 ESC member countries in which cancer accounts for more deaths than CVD in males and five-member countries in which cancer accounts for more deaths than CVD in females. (viii) The under-resourced status of middle-income countries is associated with a severe procedural deficit compared with high-income countries in terms of coronary intervention, ablation procedures, device implantation, and cardiac surgical procedures. Conclusion Risk factors and unhealthy behaviours are potentially reversible, and this provides a huge opportunity to address the health inequalities across ESC member countries that are highlighted in this report. It seems clear, however, that efforts to seize this opportunity are falling short and present evidence suggests that most of the WHO NCD targets for 2025 are unlikely to be met across ESC member countries.

Aims The importance of standard modifiable cardiovascular risk factors (SMuRFs) in preventing non-ST-segment elevation myocardial infarction (NSTEMI) is established. However, NSTEMI may present in the absence of SMuRFs, and little is known about their outcomes. Methods and results We analysed 176 083 adult (≥18 years) hospitalizations with NSTEMI using data from the United Kingdom (UK) Myocardial Infarction National Audit Project (MINAP). Clinical characteristics and all-cause in-hospital mortality were analysed according to SMuRF status, with 135 223 patients presenting with at least one of diabetes, hypertension, hypercholesterolaemia, or current smoking status and 40 860 patients without any SMuRFs. Those with a history of coronary artery disease were excluded. Patients without SMuRFs were more frequently older (median age 72 year vs. 71 years, P Conclusion More than one in five patients presenting with NSTEMI had no SMuRFs, who were less frequently received guideline-recommended management and had lower in-hospital (all-cause and cardiac) mortality and MACE than patients with SMuRFs.

ObjectivesTo investigate sex-based differences in baseline values and longitudinal trajectories of health-related quality of life (HRQoL) in a large cohort of myocardial infarction (MI) survivors after adjusting for other important factors.DesignLongitudinal cohort study.SettingPopulation-based longitudinal study the Evaluation of the Methods and Management of Acute Coronary Events study linked with national cardiovascular registry. Data were collected from 77 hospitals in England between 1 November 2011 and 24 June 2015.Participants9551 patients with MI. Patients were eligible for the study if they were ≥18 years of age.Primary and secondary outcome measuresHRQoL was measured by EuroQol five-dimension, visual analogue scale (EQ-5D, EQ VAS) survey at baseline, 1, 6 and 12 months after discharge. Multi-level linear and logistic regression models coupled with inverse probability weighted propensity scoring were used to evaluate sex differences in HRQoL following MI.ResultsOf the 9551 patients with MI and complete data on sex, 25.1% (2,397) were women. At baseline, women reported lower HRQoL (EQ VAS (mean (SD) 59.8 (20.4) vs 64.5 (20.9)) (median (IQR) 60.00 (50.00–75.00) vs 70.00 (50.00–80.00))) (EQ-5D (mean (SD) 0.66 (0.31) vs 0.74 (0.28)) (median (IQR) 0.73 (0.52–0.85) vs 0.81 (0.62–1.00))) and were more likely to report problems in each HRQoL domain compared with men. In the covariate balanced and adjusted multi-level model sex differences in HRQoL persisted during follow-up, with lower EQ VAS and EQ-5D scores in women compared with men (adjusted EQ VAS model sex coefficient: −4.41, 95% CI −5.16 to −3.66 and adjusted EQ-5D model sex coefficient: −0.07, 95% CI −0.08 to −0.06).ConclusionsWomen have lower HRQoL compared with men at baseline and during 12 months follow-up after MI. Tailored interventions for women following an MI could improve their quality of life.Trial registration numberClinicalTrials.gov (NCT04598048,NCT01808027,NCT01819103

Aims Little is known about the association between the type of admission ward and quality of care and outcomes for non-ST-segment elevation myocardial infarction (NSTEMI). Methods and results We analysed data from 337 155 NSTEMI admissions between 2010 and 2017 in the UK Myocardial Ischaemia National Audit Project (MINAP) database. The cohort was dichotomised according to receipt of care either on a medical (n = 142,876) or cardiac ward, inclusive of acute cardiac wards and cardiac care unit (n = 194,279) on admission to hospital. Patients admitted to a cardiac ward were younger (median age 70 y vs. 75 y, P Conclusion Patients with NSTEMI admitted to a cardiac ward on admission were more likely to receive guideline directed management and had better clinical outcomes.

Background Published data suggest worse outcomes in acute coronary syndrome (ACS) patients and concurrent coronavirus disease 2019 (COVID-19) infection. Mechanisms remain unclear. Objectives The purpose of this study was to report the demographics, angiographic findings, and in-hospital outcomes of COVID-19 ACS patients and compare these with pre–COVID-19 cohorts. Methods From March 1, 2020 to July 31, 2020, data from 55 international centers were entered into a prospective, COVID-ACS Registry. Patients were COVID-19 positive (or had a high index of clinical suspicion) and underwent invasive coronary angiography for suspected ACS. Outcomes were in-hospital major cardiovascular events (all-cause mortality, re–myocardial infarction, heart failure, stroke, unplanned revascularization, or stent thrombosis). Results were compared with national pre–COVID-19 databases (MINAP [Myocardial Ischaemia National Audit Project] 2019 and BCIS [British Cardiovascular Intervention Society] 2018 to 2019). Results In 144 ST-segment elevation myocardial infarction (STEMI) and 121 non–ST-segment elevation acute coronary syndrome (NSTE-ACS) patients, symptom-to-admission times were significantly prolonged (COVID-STEMI vs. BCIS: median 339.0 min vs. 173.0 min; p, Central Illustration

Aims Little is known about ethnic disparities in care and clinical outcomes of patients admitted with non-ST-segment elevation myocardial infarction (NSTEMI) in national cohorts from universal healthcare systems derived from Europe. Methods and results We identified 280 588 admissions with NSTEMI in the UK Myocardial Infarction National Audit Project (MINAP), 2010–2017, including White patients (n = 258 364) and Black, Asian, and Minority Ethnic (BAME) patients (n = 22 194). BAME patients were younger (66 years vs. 73 years, P Conclusion BAME patients with NSTEMI had higher cardiometabolic risk profiles and were more likely to undergo invasive angiography and revascularization, with similar clinical outcomes as those of their White counterparts. Among the quality indicators assessed, there is no evidence of care disparities among BAME patients presenting with NSTEMI.

BackgroundThe COVID-19 pandemic has resulted in a high death toll. We aimed to describe the place and cause of death during the COVID-19 pandemic.MethodsThis national death registry included all adult (aged ≥18 years) deaths in England and Wales between 1st January 2014 and 30th June 2020. Analyses were based upon ICD-10 codes corresponding to the underlying cause of death as stated on the Medical Certificate of Cause of Death. Daily deaths during COVID-19 pandemic were compared against the expected daily deaths estimated using Farrington surveillance algorithm for daily historical data between 2014 and 2020, by place and cause of death.FindingsBetween 2nd March and 30th June 2020, there was an excess mortality of 57,860 (a proportional increase of 35%) compared with the expected deaths, of which 50,603 (86.2%) were COVID-19 related. Almost half the excess deaths occurred in care homes (25,611 deaths) where deaths were 55% higher than expected. One fifth of the excess deaths occurred in hospital (15,938 deaths; a proportional increase of 21%) with the remainder occurring at home (16,190 deaths; a proportional increase of 39%). At home, only 14% of 16,190 excess deaths were related to COVID-19, with 5,963 deaths due to cancer and 2,485 deaths due to cardiac disease, very few of which involved COVID-19. In care homes or hospices, 61% of the 25,611 excess deaths were related to COVID-19, 5,539 of which were due to respiratory disease and most of these (4,315 deaths) involved COVID-19. In hospital, there were 16,174 fewer deaths than expected which did not involve COVID-19, and there were 4,088 fewer deaths due to cancer and 1,398 fewer deaths due to cardiac disease than expected.InterpretationThe COVID-19 pandemic has resulted in a substantial increase in the absolute numbers of deaths occurring at home and care homes. There was a huge burden of excess deaths occurring in care homes, which were poorly characterised, and were likely to be, at least in part, the result of undiagnosed COVID-19. There was a smaller but important and ongoing excess in deaths at home, particularly from cancer and cardiac disease, which suggests avoidance of hospital care for non-COVID-19 conditions.FundingThe study is unfunded.

Patients with acute coronary syndromes (ACS), particularly non-ST-segment elevation ACS, represent a spectrum of patients at variable risk of short- and long-term adverse clinical outcomes. Accurate prognostic assessment in this population requires the simultaneous consideration of multiple clinical and laboratory variables which may be under-recognized by the treating physicians, leading to an observed risk-treatment paradox in the use of invasive and pharmacological therapies. The routine application of established clinical risk scores, such as the Global Registry of Acute Coronary Events risk score, is recommended by major international clinical practice guidelines for structured risk stratification at the time of presentation, but uptake remains inconsistent. This article discusses the methodology of designing, deriving, and validating clinical risk scores, reviews the major validated risk scores for assessing prognosis in ACS, and examines their role in guiding clinical decision-making in ACS management, especially the timing of invasive coronary angiography. We also discuss emerging data on the impact of the routine use of such risk scores on patient management and clinical outcomes, as well as future directions for investigation in this field.

Aims We estimated the 2020 European Society of Cardiology-Acute Cardio Vascular Care (ESC-ACVC) quality indicators (QI) for the management of acute myocardial infarction, from three existing registries to determine the feasibility of assessment, room for improvement, association with outcomes, and suitability for centre benchmarking. Methods and results Data were extracted from three French nationwide registries, namely FAST-MI 2005, 2010, and 2015. Feasibility of assessment and room for improvement were estimated by the denominator (patients in whom QI could be measured) and numerator (patients who satisfied the QI, among those eligible). Associations between composite QIs (CQIs) and mortality were assessed by multivariate analysis. Centre benchmarking was based on the centres mean CQI, vs. the national mean. The 2020 QIs were measured in 12 660/13 130 patients from FAST-MI. Measurement feasibility ranged from 15% to 100% with greater potential for implementation with the 2020 QI set. The mean (±SD) value of the opportunity-based CQI was 0.72 ± 0.01 and attainment of the all-or-none CQI 8.5%. Both CQIs were associated with adjusted 1-year mortality. Centre categorization into low, intermediate, and high quality was feasible, and distinguished centres with differing mortality. Conclusion Most of the 2020 QI can be measured from existing registries in all domains but not in the patient’s satisfaction domain. This assessment shows potential for implementation. Both CQIs were inversely associated with one-year mortality and centre benchmarking was feasible.

Adapting dashboard design to different contexts of use is an open question in visualisation research. Dashboard designers often seek to strike a balance between dashboard adaptability and ease-of-use, and in hospitals challenges arise from the vast diversity of key metrics, data models and users involved at different organizational levels. In this design study, we present QualDash, a dashboard generation engine that allows for the dynamic configuration and deployment of visualisation dashboards for healthcare quality improvement (QI). We present a rigorous task analysis based on interviews with healthcare professionals, a co-design workshop and a series of one-on-one meetings with front line analysts. From these activities we define a metric card metaphor as a unit of visual analysis in healthcare QI, using this concept as a building block for generating highly adaptable dashboards, and leading to the design of a Metric Specification Structure (MSS). Each MSS is a JSON structure which enables dashboard authors to concisely configure unit-specific variants of a metric card, while offloading common patterns that are shared across cards to be preset by the engine. We reflect on deploying and iterating the design of QualDash in cardiology wards and pediatric intensive care units of five NHS hospitals. Finally, we report evaluation results that demonstrate the adaptability, ease-of-use and usefulness of QualDash in a real-world scenario.

Background Myocardial infarction with non-obstructive coronary arteries (MINOCA) is common and occurs in 6–8% of all patients fulfilling the diagnostic criteria for acute myocardial infarction (AMI). This paper describes the rationale behind the trial ‘Randomized Evaluation of Beta Blocker and ACE-Inhibitor/Angiotensin Receptor Blocker Treatment (ACEI/ARB) of MINOCA patients’ (MINOCA-BAT) and the need to improve the secondary preventive treatment of MINOCA patients. Methods MINOCA-BAT is a registry-based, randomized, parallel, open-label, multicenter trial with 2:2 factorial design. The primary aim is to determine whether oral beta blockade compared with no oral beta blockade, and ACEI/ARB compared with no ACEI/ARB, reduce the composite endpoint of death of any cause, readmission because of AMI, ischemic stroke or heart failure in patients discharged after MINOCA without clinical signs of heart failure and with left ventricular ejection fraction ≥40%. A total of 3500 patients will be randomized into four groups; e.g. ACEI/ARB and beta blocker, beta blocker only, ACEI/ARB only and neither ACEI/ARB nor beta blocker, and followed for a mean of 4 years. Summary While patients with MINOCA have an increased risk of serious cardiovascular events and death, whether conventional secondary preventive therapies are beneficial has not been assessed in randomized trials. There is a limited basis for guideline recommendations in MINOCA. Furthermore, studies of routine clinical practice suggest that use of secondary prevention therapies in MINOCA varies considerably. Thus results from this trial may influence future treatment strategies and guidelines specific to MINOCA patients.

Medicines are often suboptimally managed for heart failure patients across the transition from hospital to home, potentially leading to poor patient outcomes. The Improving the Safety and Continuity Of Medicines management at Transitions of care programme included: understanding the problems faced by patients and healthcare professionals; developing and co-designing the Medicines at Transitions of care Intervention (MaTI); a cluster randomized controlled trial testing the effectiveness of a complex behavioural MaTI aimed at improving medicines management at the interface between hospitals discharge and community care for patients with heart failure; and a process evaluation. The MaTI included a patient-held My Medicines Toolkit; enhanced communication between the hospital and the patient's community pharmacist and increased engagement of the community pharmacist postdischarge. This paper reports on the patients' experiences of the MaTI and its implementation from the process evaluation.Twenty one-to-one semi-structured patient interviews from six intervention sites were conducted between November 2018 and January 2020. Data were analysed using the Framework method, involving patients as co-analysts. Interview data were triangulated with routine trial data, the Consolidated Framework for Implementation Research and a logic model.Within the hospital setting patients engaged with the toolkit according to whether staff raised awareness of the My Medicines Toolkit's importance and the time and place of its introduction. Patients' engagement with community pharmacy depended on their awareness of the community pharmacist's role, support sources and perceptions of involvement in medicines management. The toolkit's impact on patients' medicines management at home included reassurance during gaps in care, increased knowledge of medicines, enhanced ability to monitor health and seek support and supporting sharing medicines management between formal and informal care networks.Many patients perceived that the MaTI offered them support in their medicines management when transitioning from hospital into the community. Importantly, it can be incorporated into and built upon patients' lived experiences of heart failure. Key to its successful implementation is the quality of engagement of healthcare professionals in introducing the intervention.Patients were involved in the study design, as qualitative data co-analysts and as co-authors.

BackgroundAudit and feedback aims to improve patient care by comparing healthcare performance against explicit standards. It is used to monitor and improve patient care, including through National Clinical Audit (NCA) programmes in the UK. Variability in effectiveness of audit and feedback is attributed to intervention design; separate randomised trials to address multiple questions about how to optimise effectiveness would be inefficient. We evaluated different feedback modifications to identify leading candidates for further “real-world” evaluation.MethodsUsing an online fractional factorial screening experiment, we randomised recipients of feedback from five UK NCAs to different combinations of six feedback modifications applied within an audit report excerpt: useeffective comparators, providemultimodal feedback, recommendspecific actions, provideoptional detail, incorporate thepatient voice, and minimisecognitive load. Outcomes, assessed immediately after exposure to the online modifications, included intention to enact audit standards (primary outcome, ranked on a scale of −3 to +3, tailored to the NCA), comprehension, user experience, and engagement.ResultsWe randomised 1241 participants (clinicians, managers, and audit staff) between April and October 2019. Inappropriate repeated participant completion occurred; we conservatively excluded participant entries during the relevant period, leaving a primary analysis population of 638 (51.4%) participants.None of the six feedback modifications had an independent effect on intention across the five NCAs. We observed both synergistic and antagonistic effects across outcomes when modifications were combined; the specific NCA and whether recipients had a clinical role had dominant influences on outcome, and there was an antagonistic interaction betweenmultimodal feedbackandoptional detail. Among clinical participants, predicted intention ranged from 1.22 (95% confidence interval 0.72, 1.72) for the least effective combination in whichmultimodal feedback,optional detail, andreduced cognitive loadwere applied within the audit report, up to 2.40 (95%CI1.88, 2.93) for the most effective combination includingmultimodal feedback,specific actions,patient voice, andreduced cognitive load.ConclusionPotentially important synergistic and antagonistic effects were identified across combinations of feedback modifications, audit programmes, and recipients, suggesting that feedback designers must explicitly consider how different features of feedback may interact to achieve (or undermine) the desired effects.Trial registrationInternational Standard Randomised Controlled Trial Number:ISRCTN41584028

In the European Union (EU), the delivery of health services is a national responsibility but there are concerted actions between member states to protect public health. Approval of pharmaceutical products is the responsibility of the European Medicines Agency, while authorising the placing on the market of medical devices is decentralised to independent ‘conformity assessment’ organisations called notified bodies. The first legal basis for an EU system of evaluating medical devices and approving their market access was the Medical Device Directive, from the 1990s. Uncertainties about clinical evidence requirements, among other reasons, led to the EU Medical Device Regulation (2017/745) that has applied since May 2021. It provides general principles for clinical investigations but few methodological details – which challenges responsible authorities to set appropriate balances between regulation and innovation, pre- and post-market studies, and clinical trials and real-world evidence. Scientific experts should advise on methods and standards for assessing and approving new high-risk devices, and safety, efficacy, and transparency of evidence should be paramount. The European Commission recently awarded a Horizon 2020 grant to a consortium led by the European Society of Cardiology and the European Federation of National Associations of Orthopaedics and Traumatology, that will review methodologies of clinical investigations, advise on study designs, and develop recommendations for aggregating clinical data from registries and other real-world sources. The CORE–MD project (Coordinating Research and Evidence for Medical Devices) will run until March 2024. Here, we describe how it may contribute to the development of regulatory science in Europe. Cite this article: EFORT Open Rev 2021;6:839-849. DOI: 10.1302/2058-5241.6.210081

Background Atrial fibrillation (AF) is common in older people and is associated with increased stroke risk that may be reduced by oral anticoagulation (OAC). Frailty also increases with increasing age, yet the extent of OAC prescription in older people according to extent of frailty in people with AF is insufficiently described. Methods An electronic health records study of 536,955 patients aged ≥65 years from ResearchOne in England (384 General Practices), over 15.4 months, last follow-up 11th April 2017. OAC prescription for AF with CHA2DS2-Vasc ≥2, adjusted (demographic and treatments) risk of all-cause mortality, and subsequent cerebrovascular disease, bleeding and falls were estimated by electronic frailty index (eFI) category of fit, mild, moderate and severe frailty. Results AF prevalence and mean CHA2DS2-Vasc for those with AF increased with increasing eFI category (fit 2.9%, 2.2; mild 11.2%, 3.2; moderate 22.2%, 4.0; and severe 31.5%, 5.0). For AF with CHA2DS2-Vasc ≥2, OAC prescription was higher for mild (53.2%), moderate (55.6%) and severe (53.4%) eFI categories than fit (41.7%). In those with AF and eligible for OAC, frailty was associated with increased risk of death (HR for severe frailty compared with fit 4.09, 95% confidence interval 3.43–4.89), gastrointestinal bleeding (2.17, 1.45–3.25), falls (8.03, 4.60–14.03) and, among women, stroke (3.63, 1.10–12.02). Conclusion Among older people in England, AF and stroke risk increased with increasing degree of frailty; however, OAC prescription approximated 50%. Given competing demands of mortality, morbidity and stroke prevention, greater attention to stratified stroke prevention is needed for this group of the population.

Aims To investigate trends in the prescription of oral anticoagulants (OACs) and antiplatelet agents for atrial fibrillation (AF). Methods and results Prescription data for 450 518 patients with AF from 3352 General Practices in England, was obtained from the GRASP-AF registry, 2009–2018. Annualized temporal trends for OAC and antiplatelet prescription were reported according to eligibility based on stroke risk (CHADS2 or CHA2DS2-VASc scores ≥1 or >2, respectively). From 2009 to 2018, the prevalence of AF increased from 1.6% [95% confidence interval (CI) 1.5–1.7%] to 2.4% (2.3–2.5%), and for those with AF the proportion prescribed OAC increased from 47.6% to 75.0% (P-trend < 0.001; relative risk 1.57, 95% CI 1.55–1.60) and for antiplatelet decreased from 37.4% to 9.2% (P-trend < 0.001). In early-years (2009–2013), eligible patients aged ≥80 years were less likely to be prescribed OAC than patients aged Conclusion Between 2009 and 2018, in England, the use of OAC for stroke prophylaxis in AF increased, with DOAC accounting for over half of OAC uptake in 2018. Despite a reduction in the OAC-prescription gap, a new paradox exists relating to DOAC prescription for the elderly and those at higher risk of stroke.

The availability of large datasets from multiple sources [e.g. registries, biobanks, electronic health records (EHRs), claims or billing databases, implantable devices, wearable sensors, and mobile apps], coupled with advances in computing and analytic technologies, have provided new opportunities for conducting innovative health research. Equally, improved digital access to health information has facilitated the conduct of efficient randomized controlled trials (RCTs) upon which clinical management decisions can be based, for instance, by permitting the identification of eligible patients for recruitment and/or linkage for follow-up via their EHRs. Given these advances in cardiovascular data science and the complexities they behold, it is important that health professionals have clarity on the appropriate use and interpretation of observational, so-called ‘real-world’, and randomized data in cardiovascular medicine. The Cardiovascular Roundtable of the European Society of Cardiology (ESC) held a workshop to explore the future of RCTs and the current and emerging opportunities for gathering and exploiting complex observational datasets in cardiovascular research. The aim of this article is to provide a perspective on the appropriate use of randomized and observational data and to outline the ESC plans for supporting the collection and availability of clinical data to monitor and improve the quality of care of patients with cardiovascular disease in Europe and provide an infrastructure for undertaking pragmatic RCTs. Moreover, the ESC continues to campaign for greater engagement amongst regulators, industry, patients, and health professionals in the development and application of a more efficient regulatory framework that is able to take maximal advantage of new opportunities for improving the design and efficiency of observational studies and RCT in patients with cardiovascular disease.

BACKGROUND: International guidelines recommend that for NSTEMI, the timing of invasive strategy (IS) is a function of patient's baseline risk. The extent to which this is delivered across and within healthcare systems is unknown. METHODS: Data were derived from 137,265 patients admitted with an NSTEMI diagnosis between 2010 and 2015 in England and Wales. Patients were stratified into low, intermediate and high-risk in keeping with international guidelines. Time to IS was categorised into early (24 h), intermediate (25-72 h) and late (>72 h). Multivariable logistic regression models were used to identify independent predictors of guidelines recommended receipt of IS. RESULTS: There were 3608 (2.6%) low, 5037 (3.7%) intermediate and 128,621 (93.7%) high-risk patients. Guidelines recommended use of IS was significantly lower in high-risk (16.4%) compared to intermediate (64.7%) and low-risk (62.5%) groups. Both men and women in the low-risk category were almost twice as likely to receive early IS compared to high-risk men (28.9% vs 17%, p

Aims The Global Registry of Acute Coronary Events (GRACE) score was developed to evaluate risk in patients with the acute coronary syndrome with or without ST-segment elevation. Little is known about its performance at predicting in-hospital mortality for ethnic minority patients. Methods and results We identified 326 160 admissions with non-ST-segment elevation myocardial infarction (NSTEMI) in the Myocardial Infarction National Audit Project (MINAP), 2010–17, including White (n = 299 184) and ethnic minorities (excluding White minorities) (n = 26 976). We calculated the GRACE score for in-hospital mortality and assessed ethnic group baseline characteristics by low, intermediate and high risk. The performance of the GRACE risk score was estimated by discrimination [area under the receiver operating characteristic curve (AUC)] and calibration (calibration plots). Ethnic minorities presented younger and had increased prevalence of cardiometabolic risk factors in all GRACE risk groups. The GRACE risk score for White [AUC 0.87, 95% confidence interval (CI) 0.86–0.87] and ethnic minority (AUC 0.87, 95% CI 0.86–0.88) patients had good discrimination. However, whilst the GRACE risk model was well calibrated in White patients (expected to observed (E : O) in-hospital death rate ratio 0.99; slope 1.00), it overestimated risk in ethnic minority patients (E : O ratio 1.29; slope: 0.94). Conclusion The GRACE risk score provided good discrimination overall for in-hospital mortality, but was not well calibrated and overestimated risk for ethnic minorities with NSTEMI. Key question Does the performance of the Global Registry of Acute Coronary Events (GRACE) (v2.0) score in predicting in-hospital mortality for non-ST-segment elevation myocardial infarction (NSTEMI) differ by ethnicity? Key finding The GRACE risk score provided good discrimination overall for in-hospital mortality but was not well calibrated and overestimated risk for ethnic minority patients with NSTEMI. Take-home message Ethnicity or race should be considered during the development of risk scoring systems. Existing systems can be recalibrated in the population they serve to better address risk.

Background Deaths in the first year of the Coronavirus Disease 2019 (COVID-19) pandemic in England and Wales were unevenly distributed socioeconomically and geographically. However, the full scale of inequalities may have been underestimated to date, as most measures of excess mortality do not adequately account for varying age profiles of deaths between social groups. We measured years of life lost (YLL) attributable to the pandemic, directly or indirectly, comparing mortality across geographic and socioeconomic groups. Methods and findings We used national mortality registers in England and Wales, from 27 December 2014 until 25 December 2020, covering 3,265,937 deaths. YLLs (main outcome) were calculated using 2019 single year sex-specific life tables for England and Wales. Interrupted time-series analyses, with panel time-series models, were used to estimate expected YLL by sex, geographical region, and deprivation quintile between 7 March 2020 and 25 December 2020 by cause: direct deaths (COVID-19 and other respiratory diseases), cardiovascular disease and diabetes, cancer, and other indirect deaths (all other causes). Excess YLL during the pandemic period were calculated by subtracting observed from expected values. Additional analyses focused on excess deaths for region and deprivation strata, by age-group. Between 7 March 2020 and 25 December 2020, there were an estimated 763,550 (95% CI: 696,826 to 830,273) excess YLL in England and Wales, equivalent to a 15% (95% CI: 14 to 16) increase in YLL compared to the equivalent time period in 2019. There was a strong deprivation gradient in all-cause excess YLL, with rates per 100,000 population ranging from 916 (95% CI: 820 to 1,012) for the least deprived quintile to 1,645 (95% CI: 1,472 to 1,819) for the most deprived. The differences in excess YLL between deprivation quintiles were greatest in younger age groups; for all-cause deaths, a mean of 9.1 years per death (95% CI: 8.2 to 10.0) were lost in the least deprived quintile, compared to 10.8 (95% CI: 10.0 to 11.6) in the most deprived; for COVID-19 and other respiratory deaths, a mean of 8.9 years per death (95% CI: 8.7 to 9.1) were lost in the least deprived quintile, compared to 11.2 (95% CI: 11.0 to 11.5) in the most deprived. For all-cause mortality, estimated deaths in the most deprived compared to the most affluent areas were much higher in younger age groups, but similar for those aged 85 or over. There was marked variability in both all-cause and direct excess YLL by region, with the highest rates in the North West. Limitations include the quasi-experimental nature of the research design and the requirement for accurate and timely recording. Conclusions In this study, we observed strong socioeconomic and geographical health inequalities in YLL, during the first calendar year of the COVID-19 pandemic. These were in line with long-standing existing inequalities in England and Wales, with the most deprived areas reporting the largest numbers in potential YLL. In a registry-based study, Evangelos Kontopantelis and colleagues examine the excess years of life lost to COVID-19 and other causes of death by sex, neighbourhood deprivation and region in England & Wales during 2020. Author summary Why was this study done? The Coronavirus Disease 2019 (COVID-19) pandemic generated large numbers of excess deaths (additional deaths over those predicted from trends in previous years). These excess deaths were also unevenly distributed across different geographic areas and socioeconomic groups, exacerbating prepandemic inequalities. Up to a quarter of the excess deaths during the pandemic were attributable to coronary heart disease, dementia, and other noninfectious causes, and not directly to COVID-19 infection. Most measures of excess deaths do not fully account for differences in the ages at which people die in different social groups. If the pandemic killed disproportionally more young people in more deprived areas, then inequalities resulting from the pandemic will have been underestimated. Measuring years of life lost (YLL) rather than excess deaths would address this problem. What did the researchers do and find? In England and Wales, there were an estimated 763,550 (95% CI: 696,826 to 830,273) excess YLL during the first 42 weeks of the pandemic, of which 15% were not directly attributed to COVID-19 or another respiratory cause. For all-cause mortality, estimated deaths in the most deprived compared to the most affluent areas were as follows: 11 times as many for 15- to 44-year-olds, 3 times as many for 45- to 64-year-olds, 40% higher in 75- to 84-year-olds, and not significantly higher for those aged 85 or over. This pattern of disproportionately higher mortality in younger age groups exacerbated prepandemic inequalities between the most and least deprived areas, and varied widely across regions, with the North West particularly affected. What do these findings mean? Inequalities between socioeconomic and geographic groups resulting from the COVID-19 pandemic are more pronounced than previously reported. Future plans to manage pandemics, including decisions about vaccination rollout, should include an understanding of regional and socioeconomic variation in YLL and how this has exacerbated long-standing health inequalities. Immediate and longer-term recovery planning for communities and their health and social services should reflect historical disparities as well as the impact of the pandemic on YLL. Limitations of this study include the observational nature of the data and the need for accurate and timely recording of the deaths and their causes.

Background: The Second Primary Angioplasty in Myocardial Infarction (PAMI-II) risk score is recommended by guidelines to identify low-risk patients with ST-elevation myocardial infarction (STEMI) for an early discharge strategy. Aims: We aimed to assess the safety of early discharge (≤2 days) for low-risk STEMI patients treated with primary percutaneous coronary intervention (PCI). Methods: Using nationwide data from the SWEDEHEART registry, we identified patients with STEMI treated with primary PCI during the period 2009-2017, of whom 8,092 (26.4%) were identified as low risk with the PAMI-II score. Low-risk patients were stratified according to their length of hospital stay (≤2 days vs >2 days). The primary endpoint was major adverse cardiovascular events (MACE, including death, reinfarction treated with PCI, stroke or heart failure hospitalisation) at one year, assessed using a Cox proportional hazards model with propensity score as well as an inverse probability weighting propensity score of average treatment effect to adjust for confounders. Results: A total of 1,449 (17.9%) patients were discharged ≤2 days from admission. After adjustment, the one-year MACE rate was not higher for patients discharged at >2 days from admission than for patients discharged ≤2 days (4.3% vs 3.2%; adjusted HR 1.31, 95% confidence interval [CI]: 0.92-1.87, p=0.14), and no difference was observed regarding any of the individual components of the main outcome. Results were consistent across all subgroups with no difference in MACE between early and late discharge patients. Conclusions: Nationwide observational data suggest that early discharge of low-risk patients with STEMI treated with PCI is not associated with an increase in one-year MACE.

Aims To develop a suite of quality indicators (QIs) for the evaluation of the care and outcomes for adults undergoing cardiac pacing. Methods and results Under the auspice of the Clinical Practice Guideline Quality Indicator Committee of the European Society of Cardiology (ESC), the Working Group for cardiac pacing QIs was formed. The Group comprised Task Force members of the 2021 ESC Clinical Practice Guidelines on Cardiac Pacing and Cardiac Resynchronization Therapy, members of the European Heart Rhythm Association, international cardiac device experts, and patient representatives. We followed the ESC methodology for QI development, which involved (i) the identification of the key domains of care by constructing a conceptual framework of the management of patients receiving cardiac pacing, (ii) the development of candidate QIs by conducting a systematic review of the literature, (iii) the selection of the final set of QIs using a modified-Delphi method, and (iv) the evaluation of the feasibility of the developed QIs. Four domains of care were identified: (i) structural framework, (ii) patient assessment, (iii) pacing strategy, and (iv) clinical outcomes. In total, seven main and four secondary QIs were selected across these domains and were embedded within the 2021 ESC Guidelines on Cardiac Pacing and Cardiac Resynchronization therapy. Conclusion By way of a standardized process, 11 QIs for cardiac pacing were developed. These indicators may be used to quantify adherence to guideline-recommended clinical practice and have the potential to improve the care and outcomes of patients receiving cardiac pacemakers.

BACKGROUND: Patients have an estimated mortality of 15-20% within the first year following myocardial infarction and one in four patients who survive myocardial infarction will develop heart failure, severely reducing quality of life and increasing the risk of long-term mortality. We aimed to establish the accuracy of an artificial neural network (ANN) algorithm in predicting 1-year mortality and admission to hospital for heart failure after myocardial infarction.METHODS: In this nationwide population-based study, we used data for all patients admitted to hospital for myocardial infarction and discharged alive from a coronary care unit in Sweden (n=139 288) between Jan 1, 2008, and April 1, 2017, from the Swedish Web system for Enhancement and Development of Evidence-based care in Heart disease Evaluated According to Recommended Therapies (SWEDEHEART) nationwide registry; these patients were randomly divided into training (80%) and testing (20%) datasets. We developed an ANN using 21 variables (including age, sex, medical history, previous medications, in-hospital characteristics, and discharge medications) associated with the outcomes of interest with a back-propagation algorithm in the training dataset and tested it in the testing dataset. The ANN algorithm was then validated in patients with incident myocardial infarction enrolled in the Western Denmark Heart Registry (external validation cohort) between Jan 1, 2008, and Dec 31, 2016. The predictive ability of the model was evaluated using area under the receiver operating characteristic curve (AUROC) and Youden's index was established as a means of identifying an empirical dichotomous cutoff, allowing further evaluation of model performance.FINDINGS: 139 288 patients who were admitted to hospital for myocardial infarction in the SWEDEHEART registry were randomly divided into a training dataset of 111 558 (80%) patients and a testing dataset of 27 730 (20%) patients. 30 971 patients with myocardial infarction who were enrolled in the Western Denmark Heart Registry were included in the external validation cohort. A first event, either all-cause mortality or admission to hospital for heart failure 1 year after myocardial infarction, occurred in 32 308 (23·2%) patients in the testing and training cohorts only. For 1-year all-cause mortality, the ANN had an AUROC of 0·85 (95% CI 0·84-0·85) in the testing dataset and 0·84 (0·83-0·84) in the external validation cohort. The AUROC for admission to hospital for heart failure within 1 year was 0·82 (0·81-0·82) in the testing dataset and 0·78 (0·77-0·79) in the external validation dataset. With an empirical cutoff the ANN algorithm correctly classified 73·6% of patients with regard to all-cause mortality and 61·5% of patients with regard to admission to hospital for heart failure in the external validation cohort, ruling out adverse outcomes with 97·1-98·7% probability in the external validation cohort.INTERPRETATION: Identifying patients at a high risk of developing heart failure or death after myocardial infarction could result in tailored therapies and monitoring by the allocation of resources to those at greatest risk.FUNDING: The Swedish Heart and Lung Foundation, Swedish Scientific Research Council, Swedish Foundation for Strategic Research, Knut and Alice Wallenberg Foundation, ALF Agreement on Medical Education and Research, Skane University Hospital, The Bundy Academy, the Märta Winkler Foundation, the Anna-Lisa and Sven-Eric Lundgren Foundation for Medical Research.

To develop a suite of quality indicators (QIs) for the evaluation of the quality of care for adults with heart failure (HF).We followed the ESC methodology for QI development, which involved (i) the identification of the key domains of care for the management of HF by constructing a conceptual framework of HF care, (ii) the development of candidate QIs by conducting a systematic review of the literature, (iii) the selection of the final set of QIs using a modified Delphi method, and (iv) the evaluation of the feasibility of the developed QIs. The Working Group comprised experts in HF management including Task Force members of the 2021 European Society of Cardiology (ESC) Clinical Practice Guidelines for HF, members of the Heart Failure Association (HFA), Quality Indicator Committee and a patient representative. In total, 12 main and 4 secondary QIs were selected across five domains of care for the management of HF: (1) structural framework, (2) patient assessment, (3) initial treatment, (4) therapy optimization, and (5) assessment of patient health-related quality of life.We present the ESC HFA QIs for HF, describe their development process and provide the scientific rationale for their selection. The indicators may be used to quantify and improve adherence to guideline-recommended clinical practice and thus improve patient outcomes.

Background The debate about statins in primary prevention of cardiovascular (CV) disease is still alive, especially in old and very old adults. Purpose We undertook a propensity match-weighted cohort study to investigate whether statin treatment recommendations translate into improved cardiovascular (CV) outcomes in the current routine clinical care of the elderly. Methods We included in our analysis 5,619 people aged 65 years or older from the ISACS (International Survey of Acute Coronary Syndrome) Archives (NCT04008173) who presented to hospital with a first manifestation of CV disease. Participants were stratified as statin users versus nonusers and as old (65 to 75 years) versus very old (76 years or over) adults. We estimated the effects of statins on the most severe clinical manifestation of CV disease, namely ST segment elevation myocardial infarction (STEMI), using inverse probability of treatment weighting models. Estimates were compared by test of interaction on the log scale. Results The risk of STEMI was much lower in statin users than in nonusers in both patients aged 65 to 75 years (14.7% absolute risk reduction; relative risk [RR] ratio: 0.55, 95% CI 0.45 to 0.66) and those aged 76 years and older (13.3% absolute risk reduction; RR ratio: 0.58, 95% CI 0.46 to 0.72). Estimates were similar in patients with and without history of hypercholesterolemia (interaction test; p value= 0.2408). Proportional reductions in STEMI diminished with female sex in the old (p for interaction=0.002), but not in the very old age (p for interaction=0.26). We also observed a remarkable reduction in the risk of 30- day mortality from STEMI with statin therapy in both age groups (10.2% absolute risk reduction; RR ratio: 0.39; 95% CI 0.23 – 0.68 for patients aged 76 or over and 3.8% absolute risk reduction; RR ratio 0.37; 95% CI 0.17 – 0.82 for patients aged 65 to 75 years old; interaction test, p value=0.4570). Conclusion Preventive statin therapy in the elderly reduces the risk of STEMI with benefits in mortality from STEMI, irrespective of the presence of a history of hypercholesterolemia. This effect persists after the age of 76 years. Benefits are less pronounced in women. Funding Acknowledgement Type of funding sources: None.

Aims To develop a set of quality indicators (QIs) for the evaluation of the care and outcomes for atherosclerotic cardiovascular disease (ASCVD) prevention. Methods and results The Quality Indicator Committee of the European Society of Cardiology (ESC) formed the Working Group for Cardiovascular Disease Prevention Quality Indicators in collaboration with Task Force members of the 2021 ESC Guidelines on Cardiovascular Disease Prevention in Clinical Practice and the European Association of Preventive Cardiology (EAPC). We followed the ESC methodology for QI development, which involved (i) the identification of the key domains of care for ASCVD prevention by constructing a conceptual framework of care, (ii) the development of candidate QIs by conducting a systematic review of the literature, (iii) the selection of the final set of QIs using a modified Delphi method, and (iv) the evaluation of the feasibility of the developed QIs. In total, 17 main and 14 secondary QIs were selected across six domains of care for ASCVD prevention: (i) structural framework, (ii) risk assessment, (iii) care for people at risk for ASCVD, (iv) care for patients with established ASCVD, (v) patient education and experience, and (vi) outcomes. Conclusion We present the 2021 ESC QIs for Cardiovascular Disease Prevention, which have been co-constructed with EAPC using the ESC methodology for QI development. These indicators are supported by evidence from the literature, underpinned by expert consensus and aligned with the 2021 ESC Guidelines on Cardiovascular Disease Prevention in Clinical Practice to offer a mechanism for the evaluation of ASCVD prevention care and outcomes.

Introduction: The use of digitalis has been plagued by controversy since its initial use. Previous observations have shown that digoxin can be safely used in patients with chronic heart failure (HF), but concern remains about the effects of digoxin on mortality in patients with incident HF in the acute setting, especially in those with myocardial infarction. Hypothesis: We aimed to determine the relationship between digoxin use and outcomes in hospitalized patients with acute coronary syndromes (ACS) complicated by HF accounting for sex difference and prior heart diseases. Methods: We analyzed information on 88,774 patients presenting with acute HF (Killip class ≥2) in the International Survey of Acute Coronary Syndromes (ISACS)-Archives (NCT04008173) registry, 4,722 (18.7%) who received digoxin on hospital admission. Patients with pre-existing nonischemic congestive cardiomyopathy and without HF were excluded, leaving a final study population of 25,187 patients. The main outcome measure was all-cause 30-day mortality. Estimates were evaluated by inverse probability of treatment weighting models. Results: Women who received digoxin had a higher rate of death than women who did not receive it (33.8% vs. 29.2 %; relative risk [RR] ratio:1.24;95 % confidence interval [CI]: 1.12-1.37). Similar odds for mortality with digoxin were observed in men (28.5 % vs. 24.9 %; RR ratio 1.20; 95% CI:1.10-1.32). Comparable results were obtained in patients with no prior coronary heart disease (RR ratios:1.26; 95 % CI: 1.10 to 1.45 in women and RR:1.21; 95 % CI: 1.06 to 1.39 in men) and those in sinus rhythm at admission (RR ratios:1.34; 95% CI 1.15 to 1.54 in women and 1.26; 95% CI 1.10 to 1.45 in men). Conclusions: Digoxin therapy is associated with an increased risk of early death among women and men with ACS complicated by HF. This finding highlights the need for re-examination of digoxin use in the clinical setting of ACS

Aims People with atrial fibrillation (AF) frequently live with frailty, which increases the risk of mortality and stroke. This study reports the association between oral anticoagulation (OAC) and outcomes for people with frailty, and whether there is overall net benefit from treatment in people with AF. Methods and results Retrospective open cohort electronic records study. Frailty was identified using the electronic frailty index. Primary care electronic health records of 89 996 adults with AF and CHA2DS2-Vasc score of ≥2 were linked with secondary care and mortality data in the Clinical Practice Research Database (CPRD) from 1 January 1998 to 30 November 2018. The primary outcome was a composite of death, stroke, systemic embolism, or major bleeding. Secondary outcomes were stroke, major bleeding, all-cause mortality, transient ischaemic attack, and falls. Of 89 996 participants, 71 256 (79.2%) were living with frailty. The prescription of OAC increased with degree of frailty. For patients not prescribed OAC, rates of the primary outcome increased alongside frailty category. Prescription of OAC was associated with a reduction in the primary outcome for each frailty category [adjusted hazard ratio, 95% confidence interval, no OAC as reference; fit: vitamin K antagonist (VKA) 0.69, 0.64–0.75, direct oral anticoagulant (DOAC) 0.42, 0.33–0.53; mild frailty: VKA 0.52, 0.50–0.54, DOAC 0.57, 0.52–0.63; moderate: VKA 0.54, 0.52–0.56, DOAC 0.57, 0.52–0.63; severe: VKA 0.48, 0.45–0.51, DOAC 0.58, 0.52–0.65], with cumulative incidence function effects greater for DOAC than VKA. Conclusion Frailty among people with AF is common. The OAC was associated with a reduction in the primary endpoint across all degrees of frailty.

Background Dashboards can support data-driven quality improvements in health care. They visualize data in ways intended to ease cognitive load and support data comprehension, but how they are best integrated into working practices needs further investigation. Objective This paper reports the findings of a realist evaluation of a web-based quality dashboard (QualDash) developed to support the use of national audit data in quality improvement. Methods QualDash was co-designed with data users and installed in 8 clinical services (3 pediatric intensive care units and 5 cardiology services) across 5 health care organizations (sites A-E) in England between July and December 2019. Champions were identified to support adoption. Data to evaluate QualDash were collected between July 2019 and August 2021 and consisted of 148.5 hours of observations including hospital wards and clinical governance meetings, log files that captured the extent of use of QualDash over 12 months, and a questionnaire designed to assess the dashboard’s perceived usefulness and ease of use. Guided by the principles of realist evaluation, data were analyzed to understand how, why, and in what circumstances QualDash supported the use of national audit data in quality improvement. Results The observations revealed that variation across sites in the amount and type of resources available to support data use, alongside staff interactions with QualDash, shaped its use and impact. Sites resourced with skilled audit support staff and established reporting systems (sites A and C) continued to use existing processes to report data. A number of constraints influenced use of QualDash in these sites including that some dashboard metrics were not configured in line with user expectations and staff were not fully aware how QualDash could be used to facilitate their work. In less well-resourced services, QualDash automated parts of their reporting process, streamlining the work of audit support staff (site B), and, in some cases, highlighted issues with data completeness that the service worked to address (site E). Questionnaire responses received from 23 participants indicated that QualDash was perceived as useful and easy to use despite its variable use in practice. Conclusions Web-based dashboards have the potential to support data-driven improvement, providing access to visualizations that can help users address key questions about care quality. Findings from this study point to ways in which dashboard design might be improved to optimize use and impact in different contexts; this includes using data meaningful to stakeholders in the co-design process and actively engaging staff knowledgeable about current data use and routines in the scrutiny of the dashboard metrics and functions. In addition, consideration should be given to the processes of data collection and upload that underpin the quality of the data visualized and consequently its potential to stimulate quality improvement. International Registered Report Identifier (IRRID) RR2-10.1136/bmjopen-2019-033208

OBJECTIVES: To provide estimates for how different treatment pathways for the management of severe aortic stenosis (AS) may affect National Health Service (NHS) England waiting list duration and associated mortality. DESIGN: We constructed a mathematical model of the excess waiting list and found the closed-form analytic solution to that model. From published data, we calculated estimates for how the strategies listed under Interventions may affect the time to clear the backlog of patients waiting for treatment and the associated waiting list mortality. SETTING: The NHS in England. PARTICIPANTS: Estimated patients with AS in England. INTERVENTIONS: (1) Increasing the capacity for the treatment of severe AS, (2) converting proportions of cases from surgery to transcatheter aortic valve implantation and (3) a combination of these two. RESULTS: In a capacitated system, clearing the backlog by returning to pre-COVID-19 capacity is not possible. A conversion rate of 50% would clear the backlog within 666 (533-848) days with 1419 (597-2189) deaths while waiting during this time. A 20% capacity increase would require 535 (434-666) days, with an associated mortality of 1172 (466-1859). A combination of converting 40% cases and increasing capacity by 20% would clear the backlog within a year (343 (281-410) days) with 784 (292-1324) deaths while awaiting treatment. CONCLUSION: A strategy change to the management of severe AS is required to reduce the NHS backlog and waiting list deaths during the post-COVID-19 'recovery' period. However, plausible adaptations will still incur a substantial wait to treatment and many hundreds dying while waiting., BG is supported by the NIHR Bristol Biomedical Research Centre at the University of Bristol and University Hospitals Bristol and Weston NHS Foundation Trust. JHFR is part-supported by the NIHR Cambridge Biomedical Research Centre, the British Heart Foundation, HEFCE, the EPSRC Cambridge Centre for Mathematics of Information in Healthcare and the Wellcome Trust.

IntroductionAtrial fibrillation (AF) is a major cardiovascular health problem: it is common, chronic and incurs substantial healthcare expenditure because of stroke. Oral anticoagulation reduces the risk of thromboembolic stroke in those at higher risk; but for a number of patients, stroke is the first manifestation of undetected AF. There is a rationale for the early diagnosis of AF, before the first complication occurs, but population-based screening is not recommended. Previous prediction models have been limited by their data sources and methodologies. An accurate model that uses existing routinely collected data is needed to inform clinicians of patient-level risk of AF, inform national screening policy and highlight predictors that may be amenable to primary prevention.Methods and analysisWe will investigate the application of a range of deep learning techniques, including an adapted convolutional neural network, recurrent neural network and Transformer, on routinely collected primary care data to create a personalised model predicting the risk of new-onset AF over a range of time periods. The Clinical Practice Research Datalink (CPRD)-GOLD dataset will be used for derivation, and the CPRD-AURUM dataset will be used for external geographical validation. Both comprise a sizeable representative population and are linked at patient-level to secondary care databases. The performance of the deep learning models will be compared against classic machine learning and traditional statistical predictive modelling methods. We will only use risk factors accessible in primary care and endow the model with the ability to update risk prediction as it is presented with new data, to make the model more useful in clinical practice.Ethics and disseminationPermissions for CPRD-GOLD and CPRD-AURUM datasets were obtained from CPRD (ref no: 19_076). The CPRD ethical approval committee approved the study. The results will be submitted as a research paper for publication to a peer-reviewed journal and presented at peer-reviewed conferences.Trial registration detailsA systematic review to incorporate within the overall project was registered on PROSPERO (registration number CRD42021245093). The study was registered on ClinicalTrials.gov (NCT04657900).

This Review presents data describing the health burden of cardiovascular disease (CVD) within and across the WHO European Region. CVD remains the most common cause of death in the region. Deaths from CVD in those aged70 years, commonly referred to as premature, are a particular concern, with60 million potential years of life lost to CVD in Europe annually. Although more women than men die from CVD, age-standardized rates of both morbidity and death are higher in men, and these differences in rates are greatest in individuals aged70 years. Large inequalities in all measures of morbidity, treatment and mortality can be found between countries across the continent and must be a focus for improving health. Large differences also exist in the data available between countries. The development and implementation of evidence-based preventive and treatment approaches must be supported in all countries by consistent surveillance and monitoring, such that we can quantify the health burden of CVD as well as target interventions and provide impetus for action across Europe.

ObjectiveAtrial fibrillation (AF) is common and is associated with an increased risk of stroke. We aimed to systematically review and meta-analyse multivariable prediction models derived and/or validated in electronic health records (EHRs) and/or administrative claims databases for the prediction of incident AF in the community.MethodsOvid Medline and Ovid Embase were searched for records from inception to 23 March 2021. Measures of discrimination were extracted and pooled by Bayesian meta-analysis, with heterogeneity assessed through a 95% prediction interval (PI). Risk of bias was assessed using Prediction model Risk Of Bias ASsessment Tool and certainty in effect estimates by Grading of Recommendations, Assessment, Development and Evaluation.ResultsEleven studies met inclusion criteria, describing nine prediction models, with four eligible for meta-analysis including 9 289 959 patients. The CHADS (Congestive heart failure, Hypertension, Age>75, Diabetes mellitus, prior Stroke or transient ischemic attack) (summary c-statistic 0.674; 95% CI 0.610 to 0.732; 95% PI 0.526–0.815), CHA2DS2-VASc (Congestive heart failure, Hypertension, Age>75 (2 points), Stroke/transient ischemic attack/thromboembolism (2 points), Vascular disease, Age 65–74, Sex category) (summary c-statistic 0.679; 95% CI 0.620 to 0.736; 95% PI 0.531–0.811) and HATCH (Hypertension, Age, stroke or Transient ischemic attack, Chronic obstructive pulmonary disease, Heart failure) (summary c-statistic 0.669; 95% CI 0.600 to 0.732; 95% PI 0.513–0.803) models resulted in a c-statistic with a statistically significant 95% PI and moderate discriminative performance. No model met eligibility for inclusion in meta-analysis if studies at high risk of bias were excluded and certainty of effect estimates was ‘low’. Models derived by machine learning demonstrated strong discriminative performance, but lacked rigorous external validation.ConclusionsModels externally validated for prediction of incident AF in community-based EHR demonstrate moderate predictive ability and high risk of bias. Novel methods may provide stronger discriminative performance.Systematic review registrationPROSPERO CRD42021245093.

BACKGROUND: Patients with underlying cardiovascular disease and coronavirus disease 2019 (COVID‐19) infection are at increased risk of morbidity and mortality. OBJECTIVES: This study was designed to characterize the presenting profile and outcomes of patients hospitalized with acute coronary syndrome (ACS) and COVID‐19 infection. METHODS: This observational cohort study was conducted using multisource data from all acute NHS hospitals in England. All consecutive patients hospitalized with diagnosis of ACS with or without COVID‐19 infection between 1 March and 31 May 2020 were included. The primary outcome was in‐hospital and 30‐day mortality. RESULTS: A total of 12 958 patients were hospitalized with ACS during the study period, of which 517 (4.0%) were COVID‐19‐positive and were more likely to present with non‐ST‐elevation acute myocardial infarction. The COVID‐19 ACS group were generally older, Black Asian and Minority ethnicity, more comorbid and had unfavourable presenting clinical characteristics such as elevated cardiac troponin, pulmonary oedema, cardiogenic shock and poor left ventricular systolic function compared with the non‐COVID‐19 ACS group. They were less likely to receive an invasive coronary angiography (67.7% vs 81.0%), percutaneous coronary intervention (PCI) (30.2% vs 53.9%) and dual antiplatelet medication (76.3% vs 88.0%). After adjusting for all the baseline differences, patients with COVID‐19 ACS had higher in‐hospital (adjusted odds ratio (aOR): 3.27; 95% confidence interval (CI): 2.41–4.42) and 30‐day mortality (aOR: 6.53; 95% CI: 5.1–8.36) compared to patients with the non‐COVID‐19 ACS. CONCLUSION: COVID‐19 infection was present in 4% of patients hospitalized with an ACS in England and is associated with lower rates of guideline‐recommended treatment and significant mortality hazard.

Aims To compare ST-segment elevation myocardial infarction (STEMI) and non-STEMI (NSTEMI) mortality between Sweden and the UK, adjusting for background population rates of expected death, case mix, and treatments. Methods and results National data were collected from hospitals in Sweden [n = 73 hospitals, 180 368 patients, Swedish Web-system for Enhancement and Development of Evidence-based care in Heart disease Evaluated According to Recommended Therapies (SWEDEHEART)] and the UK [n = 247, 662 529 patients, Myocardial Ischaemia National Audit Project (MINAP)] between 2003 and 2013. There were lower rates of revascularization [STEMI (43.8% vs. 74.9%); NSTEMI (27.5% vs. 43.6%)] and pharmacotherapies at time of hospital discharge including [aspirin (82.9% vs. 90.2%) and (79.9% vs. 88.0%), β-blockers (73.4% vs. 86.4%) and (65.3% vs. 85.1%)] in the UK compared with Sweden, respectively. Standardized net probability of death (NPD) between admission and 1 month was higher in the UK for STEMI [8.0 (95% confidence interval 7.4–8.5) vs. 6.7 (6.5–6.9)] and NSTEMI [6.8 (6.4–7.2) vs. 4.9 (4.7–5.0)]. Between 6 months and 1 year and more than 1 year, NPD remained higher in the UK for NSTEMI [2.9 (2.5–3.3) vs. 2.3 (2.2–2.5)] and [21.4 (20.0–22.8) vs. 18.3 (17.6–19.0)], but was similar for STEMI [0.7 (0.4–1.0) vs. 0.9 (0.7–1.0)] and [8.4 (6.7–10.1) vs. 8.3 (7.5–9.1)]. Conclusion Short-term mortality following STEMI and NSTEMI was higher in the UK compared with Sweden. Mid- and longer-term mortality remained higher in the UK for NSTEMI but was similar for STEMI. Differences in mortality may be due to differential use of guideline-indicated treatments.

Aim: To study the association between time of hospitalization and in-hospital mortality for acute myocardial infarction (AMI). Methods and Results: Patients admitted with ST-elevation myocardial infarction (STEMI) and non-STEMI (NSTEMI) across 243 hospitals in England and Wales between 1st January 2004 and 31st March 2013 were included. The outcome measure was in-hospital mortality. Adjusted odds ratios for in-hospital mortality were estimated across six four-hourly time periods over the 24-hour clock using multilevel logistic regression, inverse-probability weighting propensity score and instrumental variable analysis. Among 615,035 patients (median age 70.0 years, IQR 59.0 - 80.0 years; 406,519 (66.0%) men), there were 52,777 (8.8%) in-hospital deaths. At night, patients with NSTEMI were more frequently co-morbid, and for STEMI had longer symptom-onset-to-reperfusion times. For STEMI, unadjusted in-hospital mortality was highest between 20:00 and 23:59 (four-hour period range 8.4% to 9.9%; OR compared with 00:00 to 03:59 reference 1.13, 95% CI 1.07 to 1.20), and for NSTEMI highest between 12:00 to 15:59 (8.0% to 8.8%; OR compared with 00:00 to 03:59 reference 1.07, 95% CI 1.03 to 1.12). However, these differences were only apparent in the earlier years of the study, and were attenuated by adjustment for demographics, co-morbidities and clinical presentation. Differences were not statistically significant after adjustment for acute clinical treatment provided. Conclusions: There is little evidence to support an association between time of hospitalization and in-hospital mortality for acute myocardial infarction; variation in in-hospital mortality may be explained by case mix and the use of treatments.

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Aims We hypothesized that a decline in admissions with heart failure during COVID-19 pandemic would lead to a reciprocal rise in mortality for patients with heart failure in the community. Methods and results We used National Heart Failure Audit data to identify 36 974 adults who had a hospital admission with a primary diagnosis of heart failure between February and May in either 2018, 2019, or 2020. Hospital admissions for heart failure in 2018/19 averaged 160/day but were much lower in 2020, reaching a nadir of 64/day on 27 March 2020 [incidence rate ratio (IRR): 0.40, 95% confidence interval (CI): 0.38–0.42]. The proportion discharged on guideline-recommended pharmacotherapies was similar in 2018/19 compared to the same period in 2020. Between 1 February–2020 and 31 May 2020, there was a 29% decrease in hospital deaths related to heart failure (IRR: 0.71, 95% CI: 0.67–0.75; estimated decline of 448 deaths), a 31% increase in heart failure deaths at home (IRR: 1.31, 95% CI: 1.24–1.39; estimated excess 539), and a 28% increase in heart failure deaths in care homes and hospices (IRR: 1.28, 95% CI: 1.18–1.40; estimated excess 189). All-cause, inpatient death was similar in the COVID-19 and pre-COVID-19 periods [odds ratio (OR): 1.02, 95% CI: 0.94–1.10]. After hospital discharge, 30-day mortality was higher in 2020 compared to 2018/19 (OR: 1.57, 95% CI: 1.38–1.78). Conclusion Compared with the rolling daily average in 2018/19, there was a substantial decline in admissions for heart failure but an increase in deaths from heart failure in the community. Despite similar rates of prescription of guideline-recommended therapy, mortality 30 days from discharge was higher during the COVID-19 pandemic period.

Supplemental Digital Content is available in the text., Background: Aortic stenosis requires timely treatment with either surgical aortic valve replacement (SAVR) or transcatheter aortic valve replacement (TAVR). This study aimed to investigate the indirect impact of coronavirus disease 2019 (COVID-19) on national SAVR and TAVR activity and outcomes. Methods: The UK TAVR Registry and the National Adult Cardiac Surgery Audit were used to identify all TAVR and SAVR procedures in England, between January 2017 and November 2020. The number of isolated aortic valve replacement (AVR), AVR+coronary artery bypass graft surgery, AVR+other surgery, and TAVR procedures per month was calculated. Separate negative binomial regression models were fit to monthly procedural counts, with functions of time as covariates, to estimate the expected change in activity during COVID-19. Results: We included 15 142 TAVR cases, 13 357 isolated AVR cases, 8550 AVR+coronary artery bypass graft cases, and 6773 AVR+other cases. Before March 2020 (UK lockdown), monthly TAVR activity was rising, with a slight decrease in the SAVR activity during 2019. We observed a rapid and significant drop in TAVR and SAVR activity during the COVID-19 pandemic, especially for elective cases. Cumulatively, over the period March to November 2020, we estimated an expected 4989 (95% CI, 4020–5959) cases of aortic stenosis who have not received treatment. Conclusions: This study has demonstrated a significant decrease in TAVR and SAVR activity in England following the COVID-19 outbreak. This situation should be monitored closely, to ensure that monthly activity rapidly returns to expected levels. There is potential for significant backlog in the near-to-medium term and potential for increased mortality in this population.

Background Right ventricular pacing (RVP) may cause electrical and mechanical desynchrony leading to impaired left ventricular ejection fraction (LVEF). We investigated the outcomes of RVP with His bundle pacing (HBP) and left bundle branch pacing (LBBP) for patients requiring a de novo permanent pacemaker (PPM) for bradyarrhythmia. Methods and results Systematic review of randomized clinical trials and observational studies comparing HBP or LBP with RVP for de novo PPM implantation between 01 January 2013 and 17 November 2020 was performed. Random and fixed effects meta-analyses of the effect of pacing technology on outcomes were performed. Study outcomes included all-cause mortality, heart failure hospitalization (HFH), LVEF, QRS duration, lead revision, atrial fibrillation, procedure parameters, and pacing metrics. Overall, 9 studies were included (6 observational, 3 randomised). HBP compared with RVP was associated with decreased HFH (risk ratio [RR] 0.68, 95% confidence interval [CI] 0.49–0.94), preservation of LVEF (mean difference [MD] 0.81, 95% CI − 1.23 to 2.85 vs. − 5.72, 95% CI − 7.64 to -3.79), increased procedure duration (MD 15.17 min, 95% CI 11.30–19.04), and increased lead revisions (RR 5.83, 95% CI 2.17–15.70, p = 0.0005). LBBP compared with RVP was associated with shorter paced QRS durations (MD 5.6 ms, 95% CI − 6.4 to 17.6) vs. (51.0 ms, 95% CI 39.2–62.9) and increased procedure duration (MD 37.78 min, 95% CI 20.04–55.51). Conclusion Of the limited studies published, this meta-analysis found that HBP and LBBP were superior to RVP in maintaining physiological ventricular activation as an initial pacing strategy.

Background Multimorbidity is prevalent for people with myocardial infarction (MI), yet previous studies investigated single-health conditions in isolation. We identified patterns of multimorbidity in MI survivors and their associations with changes in HRQoL. Methods In this national longitudinal cohort study, we analysed data from 9566 admissions with MI from 77 National Health Service hospitals in England between 2011 and 2015. HRQoL was measured using EuroQol 5 dimension (EQ5D) instrument and visual analogue scale (EQVAS) at hospitalisation, 6, and 12 months following MI. Latent class analysis (LCA) of pre-existing long-term health conditions at baseline was used to identify clusters of multimorbidity and associations with changes in HRQoL quantified using mixed effects regression analysis. Results Of 9566 admissions with MI (mean age of 64.1 years [SD 11.9], 7154 [75%] men), over half (5119 [53.5%] had multimorbidities. LCA identified 3 multimorbidity clusters which were severe multimorbidity (591; 6.5%) with low HRQoL at baseline (EQVAS 59.39 and EQ5D 0.62) which did not improve significantly at 6 months (EQVAS 59.92, EQ5D 0.60); moderate multimorbidity (4301; 47.6%) with medium HRQoL at baseline (EQVAS 63.08, EQ5D 0.71) and who improved at 6 months (EQVAS 71.38, EQ5D 0.76); and mild multimorbidity (4147, 45.9%) at baseline (EQVAS 64.57, EQ5D 0.75) and improved at 6 months (EQVAS 76.39, EQ5D 0.82). Patients in the severe and moderate groups were more likely to be older, women, and presented with NSTEMI. Compared with the mild group, increased multimorbidity was associated with lower EQ-VAS scores (adjusted coefficient: −5.12 [95% CI −7.04 to −3.19] and −0.98 [−1.93 to −0.04] for severe and moderate multimorbidity, respectively. The severe class was more likely than the mild class to report problems in mobility, OR 9.62 (95% confidence interval: 6.44 to 14.36), self-care 7.87 (4.78 to 12.97), activities 2.41 (1.79 to 3.26), pain 2.04 (1.50 to 2.77), and anxiety/depression 1.97 (1.42 to 2.74). Conclusions Among MI survivors, multimorbidity clustered into three distinct patterns and was inversely associated with HRQoL. The identified multimorbidity patterns and HRQoL domains that are mostly affected may help to identify patients at risk of poor HRQoL for which clinical interventions could be beneficial to improve the HRQoL of MI survivors. Trial registration ClinicalTrials.gov NCT01808027 and NCT01819103

Aims To determine the current state of the use of reperfusion and adjunctive therapies and in-hospital outcomes in European Society of Cardiology (ESC) member and affiliated countries for patients with ST-segment elevation myocardial infarction (STEMI) complicated by cardiogenic shock (CS). Methods and results ESC EurObservational Research Programme prospective international cohort study of admissions with STEMI within 24 h of symptom onset (196 centres; 26 ESC member and 3 affiliated countries). Of 11 462 patients enrolled, 448 (3.9%) had CS. Patients with compared to patients without CS, less frequently received primary percutaneous coronary intervention (PCI) (65.5% vs. 72.2%) and fibrinolysis (15.9% vs. 19.0), and more often had no reperfusion therapy (19.0% vs. 8.5%). Mechanical support devices (intraaortic ballon pump 11.2%, extracoporeal membrane oxygenation 0.7%, other 1.1%) were used infrequently in CS. Bleeding definition academic research consortium 2–5 bleeding complications (10.1% vs. 3.0%, P Conclusion In this multi-national registry, patients with STEMI complicated by CS less frequently receive reperfusion therapy than patients with STEMI without CS. Early mortality in patients with CS not treated with primary PCI is very high. Therefore, strategies to improve clinical outcome in STEMI with CS are needed.

Background There are limited data on the impact of the COVID‐19 pandemic on left main (LM) coronary revascularisation activity, choice of revascularisation strategy, and post‐procedural outcomes. Methods All patients with LM disease (≥50% stenosis) undergoing coronary revascularisation in England between January 1, 2017 and August 19, 2020 were included (n = 22,235), stratified by time‐period (pre‐COVID: 01/01/2017–29/2/2020; COVID: 1/3/2020–19/8/2020) and revascularisation strategy (percutaneous coronary intervention (PCI) vs. coronary artery bypass grafting (CABG). Logistic regression models were performed to examine odds ratio (OR) of 1) receipt of CABG (vs. PCI) and 2) in‐hospital and 30‐day postprocedural mortality, in the COVID‐19 period (vs. pre‐COVID). Results There was a decline of 1,354 LM revascularisation procedures between March 1, 2020 and July 31, 2020 compared with previous years' (2017–2019) averages (−48.8%). An increased utilization of PCI over CABG was observed in the COVID period (receipt of CABG vs. PCI: OR 0.46 [0.39, 0.53] compared with 2017), consistent across all age groups. No difference in adjusted in‐hospital or 30‐day mortality was observed between pre‐COVID and COVID periods for both PCI (odds ratio (OR): 0.72 [0.51. 1.02] and 0.83 [0.62, 1.11], respectively) and CABG (OR 0.98 [0.45, 2.14] and 1.51 [0.77, 2.98], respectively) groups. Conclusion LM revascularisation activity has significantly declined during the COVID period, with a shift towards PCI as the preferred strategy. Postprocedural mortality within each revascularisation group was similar in the pre‐COVID and COVID periods, reflecting maintenance in quality of outcomes during the pandemic. Future measures are required to safely restore LM revascularisation activity to pre‐COVID levels.

The Heart Failure Association (HFA) of the European Society of Cardiology (ESC) developed the HFA Atlas to provide a contemporary description of heart failure (HF) epidemiology, resources, reimbursement of guideline-directed medical therapy (GDMT) and activities of the National Heart Failure Societies (NHFS) in ESC member countries.The HFA Atlas survey was conducted in 2018-2019 in 42 ESC countries. The quality and completeness of source data varied across countries. The median incidence of HF was 3.20 [interquartile range (IQR) 2.66-4.17] cases per 1000 person-years, ranging from ≤2 in Italy and Denmark to6 in Germany. The median HF prevalence was 17.20 (IQR 14.30-21) cases per 1000 people, ranging from ≤12 in Greece and Spain to30 in Lithuania and Germany. The median number of HF hospitalizations was 2671 (IQR 1771-4317) per million people annually, ranging from1000 in Latvia and North Macedonia to6000 in Romania, Germany and Norway. The median length of hospital stay for an admission with HF was 8.50 (IQR 7.38-10) days. Diagnostic and management resources for HF varied, with high-income ESC member countries having substantially more resources compared with middle-income countries. The median number of hospitals with dedicated HF centres was 1.16 (IQR 0.51-2.97) per million people, ranging from0.10 in Russian Federation and Ukraine to7 in Norway and Italy. Nearly all countries reported full or partial reimbursement of standard GDMT, except ivabradine and sacubitril/valsartan. Almost all countries reported having NHFS or working groups and nearly half had HF patient organizations.The first report from the HFA Atlas has shown considerable heterogeneity in HF disease burden, the resources available for its management and data quality across ESC member countries. The findings emphasize the need for a systematic approach to the capture of HF statistics so that inequalities and improvements in care may be quantified and addressed.