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BACKGROUND: A growing population of patients with chronic kidney disease (CKD) presents with non-ST-segment-elevation myocardial infarction, although little is known about their longer-term mortality. METHODS AND RESULTS: Using the MINAP (Myocardial Ischaemia National Audit Project) registry, linked to Office for National Statistics mortality data, we analyzed 363 559 UK patients with non-ST-segment-elevation myocardial infarction, with or without CKD. Cox regression models were fitted, adjusting for baseline demographics. Compared with patients without CKD, patients with CKD were less frequently prescribed P2Y12 inhibitors (89% versus 86%, P<0.001) less likely to undergo invasive angiography (67% versus 41%, P<0.001) or percutaneous coronary intervention (41% versus 25%, P<0.001), and were less often referred to cardiac rehabilitation (80% versus 66%, P<0.001). Following non-ST-segment-elevation myocardial infarction, patients with CKD had higher risk of 30-day (adjusted hazard ratio [HR], 1.24 [95% CI, 1.20-1.29], 1-year 1.47 [95% CI, 1.44-1.51]) and 5-year mortality 1.55 (95% CI, 1.53-1.58) than patients without CKD (all P<0.001). Risk of mortality over the entire study period was highest in CKD Stage 5 (HR, 2.98 [95% CI, 2.87-3.10]), even after excluding mortality ≤30 days (HR, 3.03 [95% CI, 2.90-3.17]) (P<0.001). There was no significant difference in proportion of deaths attributable to cardiovascular disease at 30 days (CKD; 76% versus no CKD; 76%), or 1 -year (CKD; 62% versus no CKD; 62%). CONCLUSIONS: Patients with CKD were significantly less likely to receive invasive investigation or undergo percutaneous coronary intervention and had significantly higher risk of short- and longer-term mortality. Risk of mortality increased with reducing CKD stage. Cardiovascular disease was the main cause of mortality in patients with CKD, but at comparable rates to the general population with non-ST-segment-elevation myocardial infarction.

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Rationale: Chronic obstructive pulmonary disease (COPD) is associated with increased risk of cardiovascular and cardiopulmonary events. In the Phase III, 52-week ETHOS trial (NCT02465567), triple therapy with budesonide/glycopyrrolate/formoterol fumarate (BGF) reduced rates of moderate/severe exacerbations and all-cause mortality versus dual therapy with glycopyrrolate/formoterol fumarate (GFF) or budesonide/formoterol fumarate (BFF). However, the effect of BGF on cardiovascular events versus GFF remains unevaluated. Further, the effect of BGF on time to first severe exacerbation has not been reported. Objective: Assess the effects of BGF 320/18/9.6 µg (BGF 320) and other ICS-containing arms on cardiovascular and severe cardiopulmonary endpoints versus GFF in patients with COPD from ETHOS. Methods: Patients with moderate-to-very severe COPD and a history of exacerbations were randomized to twice-daily BGF 320, BGF 160/18/9.6 µg, BFF 320/9.6 µg, or GFF 18/9.6 µg (GFF). Time to first severe COPD exacerbation was a pre-specified endpoint; post-hoc cardiovascular and severe cardiopulmonary endpoints included time to first major adverse cardiac event (MACE), time to first cardiovascular adverse event (AE) of special interest (CVAESI), time to first cardiac AE, and time to the composite endpoint of first severe cardiopulmonary event. Measurements and Main Results: BGF 320 reduced the rate of first occurrence (hazard ratio [95% confidence interval]) of cardiovascular and severe cardiopulmonary events versus GFF, including for CVAESI (0.63 [0.48, 0.82]), cardiac AE (0.60 [0.48, 0.76]), and severe cardiopulmonary event (0.80 [0.67, 0.95]). Conclusions: BGF had a benefit on cardiovascular endpoints and severe cardiopulmonary events versus GFF in patients with moderate-to-very severe COPD.

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BACKGROUND: Older people less frequently receive invasive coronary angiography (ICA) for NSTEMI than younger patients. We describe care, ICA data, and in-hospital and 30-day outcomes of NSTEMI by age in a contemporary and geographically diverse cohort. METHODS: Prospective cohort study including 2947 patients with NSTEMI from 287 centres in 59 countries, stratified by age (≥75 years, n = 761). Quality of care was evaluated based on 12 guideline-recommended care interventions, and data collected on ICA. Outcomes included in hospital acute heart failure, cardiogenic shock, repeat myocardial infarction, stroke/transient ischaemic attack, BARC Type ≥3 bleeding and death, as well as 30-day mortality. RESULTS: Patients aged ≥75 years, compared with younger patients, at presentation had a higher prevalence of comorbidities and oral anticoagulation prescription (22.4% vs 7.6%, p < 0.001). Older patients less frequently received ICA than younger patients (78.6% vs 90.6%, p < 0.001) with the recorded reason more often being advanced age, comorbidities or frailty. Of those who underwent ICA, older patients more frequently demonstrated 3-vessel, 4-vessel and/or left main stem coronary artery disease compared to younger patients (49.7% vs 34.1%, p < 0.001) but less frequently received revascularisation (63.6% vs 76.9%, p < 0.001). Older patients experienced higher rates of in-hospital acute heart failure (15.0% vs 8.4%, p < 0.001) and bleeding (2.8% vs 1.3%, p = 0.006), as well as in-hospital and 30-day mortality (3.4% vs 1.3%, p < 0.001; 4.8% vs 1.7%, p < 0.001; respectively), than younger patients. CONCLUSIONS: Patients aged ≥75 years with NSTEMI, compared with younger patients, less frequently received ICA and guideline-recommended care, and had worse short-term outcomes.

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BACKGROUND: Health-related quality of life (HRQoL) for patients following myocardial infarction (MI) is frequently impaired. We investigated the association of baseline and changes in HRQoL with mortality following MI. METHODS AND RESULTS: Nationwide longitudinal study of 9474 patients admitted to 77 hospitals in England as part of the Evaluation of the Methods and Management of Acute Coronary Events study. Self-reported HRQoL was collected using EuroQol EQ-5D-3L during hospitalization and at 1, 6, and 12 months following discharge. The data was analysed using flexible parametric and multilevel survival models. Of 9474 individuals with MI, 2360 (25%) were women and 2135 (22.5%) died during the 9-year follow-up period. HRQoL improved over 12 months (baseline mean, mean increase: EQ-5D 0.76, 0.003 per month; EQ-VAS 69.0, 0.5 per month). At baseline, better HRQoL was inversely associated with mortality [Hazard ratio (HR) 0.55, 95% CI 0.47-0.63], and problems with self-care (HR 1.73, 1.56-1.92), mobility (1.65, 1.50-1.81), usual activities (1.34, 1.23-1.47), and pain/discomfort (1.34, 1.22-1.46) were associated with increased mortality. Deterioration in mobility, pain/discomfort, usual activities, and self-care over 12 months were associated with increased mortality (HR 1.43, 95% CI 1.31-1.58; 1.21, 1.11-1.32; 1.20, 1.10-1.32; 1.44, 1.30-1.59, respectively). CONCLUSION: After MI, poor HRQoL at baseline, its dimensions, and deterioration over time are associated with an increased risk of mortality. Measuring HRQoL in routine clinical practice after MI could identify at-risk groups for interventions to improve prognosis.

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AIMS: To update the European Society of Cardiology (ESC) quality indicators (QIs) for the evaluation of the care and outcomes of adults with heart failure. METHODS AND RESULTS: The Working Group comprised experts in heart failure including members of the ESC Clinical Practice Guidelines Task Force for heart failure, members of the Heart Failure Association, and a patient representative. We followed the ESC methodology for QI development. The 2023 focused guideline update was reviewed to assess the suitability of the recommendations with strongest association with benefit and harm against the ESC criteria for QIs. All the new proposed QIs were individually graded by each panellist via online questionnaires for both validity and feasibility. The existing heart failure QIs also underwent voting to 'keep', 'remove' or 'modify'. Five domains of care for the management of heart failure were identified: (1) structural QIs, (2) patient assessment, (3) initial treatment, (4) therapy optimization, and (5) patient health-related quality of life. In total, 14 'main' and 3 'secondary' QIs were selected across the five domains. CONCLUSION: This document provides an update of the previously published ESC QIs for heart failure to ensure that these measures are aligned with contemporary evidence. The QIs may be used to quantify adherence to clinical practice as recommended in guidelines to improve the care and outcomes of patients with heart failure.

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AIMS: The aim is to describe the rationale, design, delivery, and baseline characteristics of the Stroke prevention and rhythm control Treatment: Evaluation of an Educational programme of the European society of cardiology in a cluster-Randomized trial in patients with Atrial Fibrillation (STEEER-AF) trial. METHODS AND RESULTS: STEEER-AF is a pragmatic trial designed to objectively and robustly determine whether guidelines are adhered to in routine practice and evaluate a targeted educational programme for healthcare professionals. Seventy centres were randomized in six countries (France, Germany, Italy, Poland, Spain, and UK; 2022-23). The STEEER-AF centres recruited 1732 patients with a diagnosis of atrial fibrillation (AF), with a mean age of 68.9 years (SD 11.7), CHA2DS2-VASc score of 3.2 (SD 1.8), and 647 (37%) women. Eight hundred and forty-three patients (49%) were in AF at enrolment and 760 (44%) in sinus rhythm. Oral anticoagulant therapy was prescribed in 1543 patients (89%), with the majority receiving direct oral anticoagulants (1378; 89%). Previous cardioversion, antiarrhythmic drug therapy, or ablation was recorded in 836 patients (48.3%). Five hundred fifty-one patients (31.8%) were currently receiving an antiarrhythmic drug, and 446 (25.8%) were scheduled to receive a future cardioversion or ablation. The educational programme engaged 195 healthcare professionals across centres randomized to the intervention group, consisting of bespoke interactive online learning and reinforcement activities, supported by national expert trainers. CONCLUSION: The STEEER-AF trial was successfully deployed across six European countries to investigate guideline adherence in real-world practice and evaluate if a structured educational programme for healthcare professionals can improve patient-level care. CLINICAL TRIAL REGISTRATION: Clinicaltrials.gov, NCT04396418.

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BACKGROUND: Existing data on female sex and excess cardiovascular mortality after myocardial infarction (MI) mostly come from high-income countries (HICs). This study aimed to investigate how sex disparities in treatments and outcomes vary across countries with different income levels. METHODS: Data from the ISACS-Archives registry included 22 087 MI patients from 6 HICs and 6 middle-income countries (MICs). MI data were disaggregated by clinical presentation: ST-segment elevation myocardial infarction (STEMI) and non-ST-segment elevation myocardial infarction (NSTEMI). The primary outcome was 30-day mortality. RESULTS: Among STEMI patients, women in MICs had nearly double the 30-day mortality rate of men (12.4% versus 5.8%; adjusted risk ratio [RR] 2.30, 95% CI 1.98-2.68). This difference was less pronounced in HICs (6.8% versus 5.1%; RR 1.36, 95% CI 1.05-1.75). Despite more frequent treatments and timely revascularization in MICs, sex-based mortality differences persisted even after revascularization (8.0% versus 4.1%; RR 2.05, 95% CI, 1.68-2.50 in MICs and 5.6% versus 2.6%; RR 2.17, 95% CI 1.48-3.18) in HICs. Additionally, women from MICs had higher diabetes rates compared to HICs (31.8% versus 25.1%, standardized difference = 0.15). NSTEMI outcomes were relatively similar between sexes and income groups. CONCLUSIONS: Sex disparities in mortality rates following STEMI are more pronounced in MICs compared to HICs. These disparities cannot be solely attributed to sex-related inequities in revascularization. Variations in mortality may also be influenced by sex differences in socioeconomic factors and baseline comorbidities.

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Background: Chronic kidney disease (CKD) is a major global health problem and its early identification would allow timely intervention to reduce complications. We performed a systematic review and meta-analysis of multivariable prediction models derived and/or validated in community-based electronic health records (EHRs) for the prediction of incident CKD in the community. Methods: Ovid Medline and Ovid Embase were searched for records from 1947 to 31 January 2024. 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 (PROBAST) and certainty in effect estimates by Grading of Recommendations, Assessment, Development and Evaluation (GRADE). Results: Seven studies met inclusion criteria, describing 12 prediction models, with two eligible for meta-analysis including 2 173 202 patients. The Chronic Kidney Disease Prognosis Consortium (CKD-PC) (summary c-statistic 0.847; 95% CI 0.827-0.867; 95% PI 0.780-0.905) and SCreening for Occult REnal Disease (SCORED) (summary c-statistic 0.811; 95% CI 0.691-0.926; 95% PI 0.514-0.992) models had good model discrimination performance. Risk of bias was high in 64% of models, and driven by the analysis domain. No model met eligibility for meta-analysis if studies at high risk of bias were excluded, and certainty of effect estimates was 'low'. No clinical utility analyses or clinical impact studies were found for any of the models. Conclusions: Models derived and/or externally validated for prediction of incident CKD in community-based EHRs demonstrate good prediction performance, but assessment of clinical usefulness is limited by high risk of bias, low certainty of evidence and a lack of impact studies.

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Chronic obstructive pulmonary disease (COPD) constitutes a major global health burden and is the third leading cause of death worldwide. A high proportion of patients with COPD have cardiovascular disease, but there is also evidence that COPD is a risk factor for adverse outcomes in cardiovascular disease. Patients with COPD frequently die of respiratory and cardiovascular causes, yet the identification and management of cardiopulmonary risk remain suboptimal owing to limited awareness and clinical intervention. Acute exacerbations punctuate the progression of COPD in many patients, reducing lung function and increasing the risk of subsequent exacerbations and cardiovascular events that may lead to early death. This narrative review defines and summarises the principles of COPD-associated cardiopulmonary risk, and examines respiratory interventions currently available to modify this risk, as well as providing expert opinion on future approaches to addressing cardiopulmonary risk.

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AIMS: The European Unified Registries On Heart Care Evaluation and Randomized Trials (EuroHeart) aims to improve the quality of care and clinical outcomes for patients with cardiovascular disease. The collaboration of acute coronary syndrome/percutaneous coronary intervention (ACS/PCI) registries is operational in seven vanguard European Society of Cardiology member countries. METHODS AND RESULTS: Adults admitted to hospitals with ST-elevation myocardial infarction (STEMI) and non-ST-elevation myocardial infarction (NSTEMI) are included, and individual patient-level data collected and aligned according to the internationally agreed EuroHeart data standards for ACS/PCI. The registries provide up to 155 variables spanning patient demographics and clinical characteristics, in-hospital care, in-hospital outcomes, and discharge medications. After performing statistical analyses on patient data, participating countries transfer aggregated data to EuroHeart for international reporting. Between 1st January 2022 and 31st December 2022, 40 021 admissions (STEMI 46.7%, NSTEMI 53.3%) were recorded from 192 hospitals in the seven vanguard countries: Estonia, Hungary, Iceland, Portugal, Romania, Singapore, and Sweden. The mean age for the cohort was 67.9 (standard deviation 12.6) years, and it included 12 628 (31.6%) women. CONCLUSION: The EuroHeart collaboration of ACS/PCI registries prospectively collects and analyses individual data for ACS and PCI at a national level, after which aggregated results are transferred to the EuroHeart Data Science Centre. The collaboration will expand to other countries and provide continuous insights into the provision of clinical care and outcomes for patients with ACS and undergoing PCI. It will serve as a unique international platform for quality improvement, observational research, and registry-based clinical trials.

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BACKGROUND: The increasing burden of atrial fibrillation (AF) emphasizes the need to identify high-risk individuals for enrolment in clinical trials of AF screening and primary prevention. We aimed to develop prediction models to identify individuals at high-risk of AF across prediction horizons from 6-months to 10-years. METHODS: We used secondary-care linked primary care electronic health record data from individuals aged ≥30 years without known AF in the UK Clinical Practice Research Datalink-GOLD dataset between January 2, 1998 and November 30, 2018; randomly divided into derivation (80%) and validation (20%) datasets. Models were derived using logistic regression from known AF risk factors for incident AF in prediction periods of 6 months, 1-year, 2-years, 5-years, and 10-years. Performance was evaluated using in the validation dataset with bootstrap validation with 200 samples, and compared against the CHA2DS2-VASc and C2HEST scores. RESULTS: Of 2,081,139 individuals in the cohort (1,664,911 in the development dataset, 416,228 in the validation dataset), the mean age was 49.9 (SD 15.4), 50.7% were women, and 86.7% were white. New cases of AF were 7,386 (0.4%) within 6 months, 15,349 (0.7%) in 1 year, 38,487 (1.8%) in 5 years, and 79,997 (3.8%) by 10 years. Valvular heart disease and heart failure were the strongest predictors, and association of hypertension with AF increased at longer prediction horizons. The optimal risk models incorporated age, sex, ethnicity, and 8 comorbidities. The models demonstrated good-to-excellent discrimination and strong calibration across prediction horizons (AUROC, 95%CI, calibration slope: 6-months, 0.803, 0.789-0.821, 0.952; 1-year, 0.807, 0.794-0.819, 0.962; 2-years, 0.815, 0.807-0.823, 0.973; 5-years, 0.807, 0.803-0.812, 1.000; 10-years 0.780, 0.777-0.784, 1.010), and superior to the CHA2DS2-VASc and C2HEST scores. The models are available as a web-based FIND-AF calculator. CONCLUSIONS: The FIND-AF models demonstrate high discrimination and calibration across short- and long-term prediction horizons in 2 million individuals. Their utility to inform trial enrolment and clinical decisions for AF screening and primary prevention requires further study.

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Background: Although numerous studies have examined readmission with heart failure (HF) after acute myocardial infarction (AMI), limited data are available on HF readmission in cancer patients post-AMI. Objectives: This study aimed to assess the rates and factors associated with HF readmission in cancer patients presenting with ST-segment elevation myocardial infarction (STEMI). Methods: A nationally linked cohort of STEMI patients between January 2005 and March 2019 were obtained from the UK Myocardial Infarction National Audit Project registry and the UK national Hospital Episode Statistics Admitted Patient Care registry. Multivariable Fine-Gray competing risk models were used to evaluate HF readmission at 30 days and 1 year. Results: A total of 326,551 STEMI indexed admissions were included, with 7,090 (2.2%) patients having active cancer. The cancer group was less likely to be admitted under the care of a cardiologist (74.5% vs 81.9%) and had lower rates of invasive coronary angiography (62.2% vs 72.7%; P < 0.001) and percutaneous coronary intervention (58.4% vs. 69.5%). There was a significant prescription gap in the administration of post-AMI medications upon discharge such as an angiotensin-converting enzyme inhibitor/angiotensin receptor blocker (49.5% vs 71.1%) and beta-blockers (58.4% vs 68.0%) in cancer patients. The cancer group had a higher rate of HF readmission at 30 days (3.2% vs 2.3%) and 1 year (9.4% vs 7.3%). However, after adjustment, cancer was not independently associated with HF readmission at 30 days (subdistribution HR: 1.05; 95% CI: 0.86-1.28) or 1 year (subdistribution HR: 1.03; 95% CI: 0.92-1.16). The opportunity-based quality indicator was associated with higher rates of HF readmission independent of cancer diagnosis. Conclusions: Cancer patients receive care that differs in important ways from patients without cancer. Greater implementation of evidence-based care may reduce HF readmissions, including in cancer patients.

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BACKGROUND: The occurrence of a range of health outcomes following myocardial infarction (MI) is unknown. Therefore, this study aimed to determine the long-term risk of major health outcomes following MI and generate sociodemographic stratified risk charts in order to inform care recommendations in the post-MI period and underpin shared decision making. METHODS AND FINDINGS: This nationwide cohort study includes all individuals aged ≥18 years admitted to one of 229 National Health Service (NHS) Trusts in England between 1 January 2008 and 31 January 2017 (final follow-up 27 March 2017). We analysed 11 non-fatal health outcomes (subsequent MI and first hospitalisation for heart failure, atrial fibrillation, cerebrovascular disease, peripheral arterial disease, severe bleeding, renal failure, diabetes mellitus, dementia, depression, and cancer) and all-cause mortality. Of the 55,619,430 population of England, 34,116,257 individuals contributing to 145,912,852 hospitalisations were included (mean age 41.7 years (standard deviation [SD 26.1]); n = 14,747,198 (44.2%) male). There were 433,361 individuals with MI (mean age 67.4 years [SD 14.4)]; n = 283,742 (65.5%) male). Following MI, all-cause mortality was the most frequent event (adjusted cumulative incidence at 9 years 37.8% (95% confidence interval [CI] [37.6,37.9]), followed by heart failure (29.6%; 95% CI [29.4,29.7]), renal failure (27.2%; 95% CI [27.0,27.4]), atrial fibrillation (22.3%; 95% CI [22.2,22.5]), severe bleeding (19.0%; 95% CI [18.8,19.1]), diabetes (17.0%; 95% CI [16.9,17.1]), cancer (13.5%; 95% CI [13.3,13.6]), cerebrovascular disease (12.5%; 95% CI [12.4,12.7]), depression (8.9%; 95% CI [8.7,9.0]), dementia (7.8%; 95% CI [7.7,7.9]), subsequent MI (7.1%; 95% CI [7.0,7.2]), and peripheral arterial disease (6.5%; 95% CI [6.4,6.6]). Compared with a risk-set matched population of 2,001,310 individuals, first hospitalisation of all non-fatal health outcomes were increased after MI, except for dementia (adjusted hazard ratio [aHR] 1.01; 95% CI [0.99,1.02];p = 0.468) and cancer (aHR 0.56; 95% CI [0.56,0.57];p < 0.001). The study includes data from secondary care only-as such diagnoses made outside of secondary care may have been missed leading to the potential underestimation of the total burden of disease following MI. CONCLUSIONS: In this study, up to a third of patients with MI developed heart failure or renal failure, 7% had another MI, and 38% died within 9 years (compared with 35% deaths among matched individuals). The incidence of all health outcomes, except dementia and cancer, was higher than expected during the normal life course without MI following adjustment for age, sex, year, and socioeconomic deprivation. Efforts targeted to prevent or limit the accrual of chronic, multisystem disease states following MI are needed and should be guided by the demographic-specific risk charts derived in this study.

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BACKGROUND AND AIMS: To develop a suite of quality indicators (QIs) for the evaluation of the care and outcomes for adults undergoing transcatheter aortic valve intervention (TAVI). METHODS: We followed the European Society of Cardiology (ESC) methodology for the development of QIs. Key domains were identified by constructing a conceptual framework for the delivery of TAVI care. A list of candidate QIs were developed by conducting a systematic review of the literature. A modified Delphi method was then used to select the final set of QIs. Finally, we mapped the QIs to the EuroHeart Data Standards for TAVI to ascertain the extent to which the EuroHeart TAVI registry captures information to calculate the QIs. RESULTS: We formed an international group of experts in quality improvement and TAVI, including representatives from the European Association of Percutaneous Cardiovascular Interventions, the European Association of Cardiovascular Imaging and the Association of Cardiovascular Nursing & Allied Professions. In total, 27 QIs were selected across eight domains of TAVI care, comprising 22 main (81%) and five secondary (19%) QIs. Of these, 19/27 (70%) are now being utilised in the EuroHeart TAVI registry. CONCLUSION: We present the 2023 ESC QIs for TAVI, developed using a standard methodology and in collaboration with ESC Associations. The EuroHeart TAVI registry allows calculation of the majority of the QIs, which may be used for benchmarking care and quality improvement initiatives.

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AIM: Diabetes mellitus (diabetes) is common amongst patients with NSTEMI. We describe presentation, care and outcomes of patients admitted with NSTEMI by diabetes status. METHODS: Prospective cohort study including 2928 patients (1104 with prior diabetes, 1824 without) admitted to hospital with NSTEMI from 287 centres in 59 countries. Quality of care was evaluated based on 12 guideline-recommended care interventions. Outcomes included in-hospital acute heart failure, cardiogenic shock, repeat myocardial infarction, stroke/transient ischaemic attack (TIA), BARC Type ≥ 3 bleeding and death, as well as 30-day mortality. RESULTS: Patients with diabetes had higher comorbidity burden and more frequently presented with Killip Class II-IV heart failure (10.2% vs 3.7%, P < 0.001), haemodynamic instability (7.1% vs 3.7%, P < 0.001) and ongoing chest pain (43.1% vs 37.0%, P < 0.001), than those without diabetes. Overall, care quality received was similar by diabetes status (60.0% vs 60.5% received ≥ 80% of eligible care interventions, P = 0.786), but patients with diabetes experienced higher rates of in-hospital acute heart failure (15.3% vs 6.8% P < 0.001), cardiogenic shock (4.5% vs 2.5%, P = 0.002), stroke/TIA (2.0% vs 0.8%, P = 0.006) and death (2.5% vs 1.4%, P = 0.022), and higher 30-day mortality (3.3% vs 2.0%, P = 0.025). Of NSTEMI with diabetes, only 1.9% and 9.0% received prescription for GLP-1 RAs and SGLT2 inhibitors, respectively, on discharge, and only 45.9% were referred for cardiac rehabilitation. CONCLUSION: NSTEMI patients with diabetes, compared to those without, present more clinically unwell and have worse outcomes despite receiving equal quality of care. Prescription of cardiovascular-protective glycaemic agents is an actionable target to reduce risk of further events.

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OBJECTIVE: The early use of automated external defibrillators (AEDs) improves outcomes in out-of-hospital cardiac arrest (OHCA). We investigated AED access across Great Britain (GB) according to socioeconomic deprivation. METHODS: Cross-sectional observational study using AED location data from The Circuit: the national defibrillator network led by the British Heart Foundation in partnership with the Association of Ambulance Chief Executives, Resuscitation Council UK and St John Ambulance. We calculated street network distances between all 1 677 466 postcodes in GB and the nearest AED and used a multilevel linear mixed regression model to investigate associations between the distances from each postcode to the nearest AED and Index of Multiple Deprivation, stratified by country and according to 24 hours 7 days a week (24/7) access. RESULTS: 78 425 AED locations were included. Across GB, the median distance from the centre of a postcode to an AED was 726 m (England: 739 m, Scotland: 743 m, Wales: 512 m). For 24/7 access AEDs, the median distances were further (991 m, 994 m, 570 m). In Wales, the average distance to the nearest AED and 24/7 AED was shorter for the most deprived communities. In England, the average distance to the nearest AED was also shorter in the most deprived areas. There was no association between deprivation and average distance to the nearest AED in Scotland. However, the distance to the nearest 24/7 AED was greater with increased deprivation in England and Scotland. On average, a 24/7 AED was in England and Scotland, respectively, 99.2 m and 317.1 m further away in the most deprived than least deprived communities. CONCLUSION: In England and Scotland, there are differences in distances to the nearest 24/7 accessible AED between the most and least deprived communities. Equitable access to 'out-of-hours' accessible AEDs may improve outcomes for people with OHCA.

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