Sex Differences in Bleeding Risk Associated With Antithrombotic Therapy Following Percutaneous Coronary Intervention.

Background: Antithrombotic therapy is crucial for secondary prevention of cardiovascular disease (CVD), but women with CVD may face increased bleeding complications post-percutaneous coronary intervention (PCI) under antithrombotic therapy. However, women are often underrepresented in clinical trials in this field, so evidence for sex-specific recommendations is lacking. Methods and Results: A search on PubMed was conducted for English-language articles addressing bleeding complications and antithrombotic therapy in women. Despite women potentially showing higher baseline platelet responsiveness than men, the clinical implications remain unclear. Concerning antiplatelet therapy post-PCI, although women have an elevated bleeding risk in the acute phase, no sex differences were observed in the chronic phase. However, women require specific considerations for factors such as age, renal function, and weight when determining the dose and duration of antiplatelet therapy. Regarding anticoagulation post-PCI, direct oral anticoagulants may pose a lower bleeding risk in women compared with warfarin. Concerning triple antithrombotic therapy (TAT) post-PCI for patients with atrial fibrillation, there is a lack of evidence on whether sex differences should be considered in the duration and regimen of TAT. Conclusions: Recent findings on sex differences in post-PCI bleeding complications did not provide enough evidence to recommend specific therapies for women. Further studies are needed to address this gap and recommend optimal antithrombotic therapy post-PCI for women.

Cost-effectiveness of behavioural counselling intervention compared with non-intervention for adult patients with metabolic syndrome to prevent cardiovascular diseases and type 2 diabetes in Japan: a microsimulation modelling study.

OBJECTIVES: Nationwide lifestyle intervention-specific health guidance (SHG) in Japan-employs counselling and education to change unhealthy behaviours that contribute to metabolic syndrome, especially obesity or abdominal obesity. We aimed to perform a model-based economic evaluation of SHG in a low participation rate setting. DESIGN: A hypothetical population, comprised 50 000 Japanese aged 40 years who met the criteria of the SHG, used a microsimulation using the Markov model to evaluate SHG's cost-effectiveness compared with non-SHG. This hypothetical population was simulated over a 35-year time horizon. SETTING: SHG is conducted annually by all Japanese insurers. OUTCOME MEASURES: Model parameters, such as costs and health outcomes (including quality-adjusted life-years, QALYs), were based on existing literature. Incremental cost-effectiveness ratios were estimated from the healthcare payer's perspective. Deterministic and probabilistic sensitivity analyses (PSA) were conducted to evaluate the uncertainty around the model input parameters. RESULTS: The simulation revealed that the total costs per person in the SHG group decreased by JPY53 014 (US$480) compared with that in the non-SHG group, and the QALYs increased by 0.044, wherein SHG was considered the dominant strategy despite the low participation rates. PSA indicated that the credibility intervals (2.5th-97.5th percentile) of the incremental costs and the incremental QALYs with the SHG group compared with the non-SHG group were -JPY687 376 to JPY85 197 (-US$6226 to US$772) and -0.009 to 0.350 QALYs, respectively. Each scenario analysis indicated that programmes for improving both blood pressure and blood glucose levels among other risk factors for metabolic syndrome are essential for improving cost-effectiveness. CONCLUSIONS: This study suggests that even small effects of counselling and education on behavioural modification may lead to the prevention of acute life-threatening events and chronic diseases, in addition to the reduction of medication resulting from metabolic syndrome, which results in cost savings.

Risk calculator for incident atrial fibrillation across a range of prediction horizons.

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.

Predicting incident heart failure from population-based nationwide electronic health records: protocol for a model development and validation study.

INTRODUCTION: Heart failure (HF) is increasingly common and associated with excess morbidity, mortality, and healthcare costs. Treatment of HF can alter the disease trajectory and reduce clinical events in HF. However, many cases of HF remain undetected until presentation with more advanced symptoms, often requiring hospitalisation. Predicting incident HF is challenging and statistical models are limited by performance and scalability in routine clinical practice. An HF prediction model implementable in nationwide electronic health records (EHRs) could enable targeted diagnostics to enable earlier identification of HF. METHODS AND ANALYSIS: We will investigate a range of development techniques (including logistic regression and supervised machine learning methods) on routinely collected primary care EHRs to predict risk of new-onset HF over 1, 5 and 10 years prediction horizons. The Clinical Practice Research Datalink (CPRD)-GOLD dataset will be used for derivation (training and testing) and the CPRD-AURUM dataset for external validation. Both comprise large cohorts of patients, representative of the population of England in terms of age, sex and ethnicity. Primary care records are linked at patient level to secondary care and mortality data. The performance of the prediction model will be assessed by discrimination, calibration and clinical utility. We will only use variables routinely accessible in primary care. ETHICS AND DISSEMINATION: Permissions for CPRD-GOLD and CPRD-AURUM datasets were obtained from CPRD (ref no: 21_000324). 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 DETAILS: The study was registered on Clinical Trials.gov (NCT05756127). A systematic review for the project was registered on PROSPERO (registration number: CRD42022380892).

The association between the estimated glomerular filtration rate and cognitive impairment: the Suita Study.

This cross-sectional study investigated the association between the estimated glomerular filtration rate (eGFR), a measure of chronic kidney disease (CKD), and cognitive impairment. We used data from 6215 Japanese individuals registered in the Suita Study. Cognitive impairment was defined as a Mini-Mental State Examination (MMSE) score of ≤ 26. Logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (95% CIs) of cognitive impairment for eGFR 45-59.9 and < 45 mL/min/1.73 m2 (mild and moderate-to-severe eGFR reductions) compared to eGFR ≥ 60 mL/min/1.73 m2 (normal eGFR). The results showed that both mild and moderate-to-severe eGFR reductions were associated with cognitive impairment: ORs (95% CIs) = 1.49 (1.22-1.83) and 2.35 (1.69-3.26), respectively (p-trend < 0.001). Each increment of eGFR by 10 mL/min/1.73m2 was associated with 4.8% lower odds of cognitive impairment. In conclusion, eGFR reduction was associated with cognitive impairment. Managing CKD is essential for preventing cognitive impairment.

Common Carotid Artery Stenosis Degree as a Predictor of Cardiovascular Disease in a General Population: The Suita Study.

BACKGROUND: The utility of screening for the degree of common carotid artery (CCA) stenosis as a predictor of cardiovascular disease (CVD) in a general population remains unclear. METHODS AND RESULTS: We studied 4775 Japanese men and women whose CCA was measured using bilateral carotid ultrasonography at baseline (April 1994-August 2001). We calculated the degree of stenosis as a percentage of the stenotic area of the lumen in the cross-section perpendicular to the long axis. The Cox proportional hazards model was used to calculate multivariable-adjusted hazard ratios (HRs) with 95% CIs for incident CVD and its subtypes according to the degree of CCA stenosis. During the median 14.2 years of follow-up, 385 incident CVD events (159 coronary heart disease and 226 stroke) were documented. The degree of CCA stenosis was associated with increased risks of incident CVD, coronary heart disease, and stroke, with multivariable-adjusted HRs (95% CIs) for <25%, 25%-49%, and ≥50% stenosis with plaque compared with no CCA plaque of 1.37 (1.07-1.76), 1.72 (1.23-2.40), and 2.49 (1.69-3.67), respectively. Adding the CCA stenosis degree to traditional CVD risk factors increased Harrell's C statistics (0.772 [95% CI, 0.751-0.794] to 0.778 [95% CI, 0.758-0.799]; P=0.04) and improved the 10-year risk prediction ability (integrated discrimination improvement, 0.0129 [95% CI, 0.0078-0.0179]; P<0.001; continuous net reclassification improvement, 0.1598 [95% CI, 0.0297-0.2881]; P=0.01). CONCLUSIONS: The degree of CCA stenosis may be used as a predictive marker for the development of CVD in the general population.

Inequalities in care delivery and outcomes for myocardial infarction, heart failure, atrial fibrillation, and aortic stenosis in the United Kingdom.

Cardiovascular diseases are a leading cause of death and disability globally, with inequalities in burden and care delivery evident in Europe. To address this challenge, The Lancet Regional Health-Europe convened experts from a range of countries to summarise the current state of knowledge on cardiovascular disease inequalities across Europe. This Series paper presents evidence from nationwide secondary care registries and primary care healthcare records regarding inequalities in care delivery and outcomes for myocardial infarction, heart failure, atrial fibrillation, and aortic stenosis in the National Health Service (NHS) across the United Kingdom (UK) by age, sex, ethnicity and geographical location. Data suggest that women and older people less frequently receive guideline-recommended treatment than men and younger people. There are limited publications about ethnicity in the UK for the studied disease areas. Finally, there is inter-healthcare provider variation in cardiovascular care provision, especially for transcatheter aortic valve implantation, which is associated with differing outcomes for patients with the same disease. Providing equitable care is a founding principle of the UK NHS, which is well positioned to deliver innovative policy responses to reverse observed inequalities. Understanding differences in care may enable the implementation of appropriate strategies to mitigate differences in outcomes.

Prognosis, characteristics, and provision of care for patients with the unspecified heart failure electronic health record phenotype: a population-based linked cohort study of 95262 individuals.

Background: Whether the accuracy of the phenotype ascribed to patients in electronic health records (EHRs) is associated with variation in prognosis and care provision is unknown. We investigated this for heart failure (HF, characterised as HF with preserved ejection fraction [HFpEF], HF with reduced ejection fraction [HFrEF] and unspecified HF). Methods: We included individuals aged 16 years and older with a new diagnosis of HF between January 2, 1998 and February 28, 2022 from linked primary and secondary care records in the Clinical Practice Research Datalink in England. We investigated the provision of guideline-recommended diagnostic investigations and pharmacological treatments. The primary outcome was a composite of HF hospitalisation or all-cause death, and secondary outcomes were time to HF hospitalisation, all-cause death and death from cardiovascular causes. We used Kaplan-Meier curves and log rank tests to compare survival across HF phenotypes and adjusted for potential confounders in Cox proportional hazards regression analyses. Findings: Of a cohort of 95,262 individuals, 1271 (1.3%) were recorded as having HFpEF, 10,793 (11.3%) as HFrEF and 83,198 (87.3%) as unspecified HF. Individuals recorded as unspecified HF were older with a higher prevalence of dementia. Unspecified HF, compared to patients with a recorded HF phenotype, were less likely to receive specialist assessment, echocardiography or natriuretic peptide testing in the peri-diagnostic period, or receive angiotensin-converting enzyme inhibitors, beta blockers or mineralocorticoid receptor antagonists up to 12 months after diagnosis (risk ratios compared to HFrEF, 0.64, 95% CI 0.63-0.64; 0.59, 0.58-0.60; 0.57, 0.55-0.59; respectively) and had significantly worse outcomes (adjusted hazard ratios compared to HFrEF, HF hospitalisation and death 1.66, 95% CI 1.59-1.74; all-cause mortality 2.00, 1.90-2.10; cardiovascular death 1.77, 1.65-1.90). Interpretation: Our findings suggested that absence of specification of HF phenotype in routine EHRs is inversely associated with clinical investigations, treatments and survival, representing an actionable target to mitigate prognostic and health resource burden. Funding: Japan Research Foundation for Healthy Aging and British Heart Foundation.

Temporal trends of cause-specific mortality after diagnosis of atrial fibrillation.

BACKGROUND AND AIMS: Reports of outcomes after atrial fibrillation (AF) diagnosis are conflicting. The aim of this study was to investigate mortality and hospitalization rates following AF diagnosis over time, by cause and by patient features. METHODS: Individuals aged ≥16 years with a first diagnosis of AF were identified from the UK Clinical Practice Research Datalink-GOLD dataset from 1 January 2001, to 31 December 2017. The primary outcomes were all-cause and cause-specific mortality and hospitalization at 1 year following diagnosis. Poisson regression was used to calculate rate ratios (RRs) for mortality and incidence RRs (IRRs) for hospitalization and 95% confidence intervals (CIs) comparing 2001/02 and 2016/17, adjusted for age, sex, region, socio-economic status, and 18 major comorbidities. RESULTS: Of 72 412 participants, mean (standard deviation) age was 75.6 (12.4) years, and 44 762 (61.8%) had ≥3 comorbidities. All-cause mortality declined (RR 2016/17 vs. 2001/02 0.72; 95% CI 0.65-0.80), with large declines for cardiovascular (RR 0.46; 95% CI 0.37-0.58) and cerebrovascular mortality (RR 0.41; 95% CI 0.29-0.60) but not for non-cardio/cerebrovascular causes of death (RR 0.91; 95% CI 0.80-1.04). In 2016/17, deaths caused from dementia (67, 8.0%), outstripped deaths from acute myocardial infarction, heart failure, and acute stroke combined (56, 6.7%, P < .001). Overall hospitalization rates increased (IRR 2016/17 vs. 2001/02 1.17; 95% CI, 1.13-1.22), especially for non-cardio/cerebrovascular causes (IRR 1.42; 95% CI 1.39-1.45). Older, more deprived, and hospital-diagnosed AF patients experienced higher event rates. CONCLUSIONS: After AF diagnosis, cardio/cerebrovascular mortality and hospitalization has declined, whilst hospitalization for non-cardio/cerebrovascular disease has increased.

Prediction models for heart failure in the community: A systematic review and meta-analysis.

AIMS: Multivariable prediction models can be used to estimate risk of incident heart failure (HF) in the general population. A systematic review and meta-analysis was performed to determine the performance of models. METHODS AND RESULTS: From inception to 3 November 2022 MEDLINE and EMBASE databases were searched for studies of multivariable models derived, validated and/or augmented for HF prediction in community-based cohorts. Discrimination measures for models with c-statistic data from ≥3 cohorts were pooled by Bayesian meta-analysis, with heterogeneity assessed through a 95% prediction interval (PI). Risk of bias was assessed using PROBAST. We included 36 studies with 59 prediction models. In meta-analysis, the Atherosclerosis Risk in Communities (ARIC) risk score (summary c-statistic 0.802, 95% confidence interval [CI] 0.707-0.883), GRaph-based Attention Model (GRAM; 0.791, 95% CI 0.677-0.885), Pooled Cohort equations to Prevent Heart Failure (PCP-HF) white men model (0.820, 95% CI 0.792-0.843), PCP-HF white women model (0.852, 95% CI 0.804-0.895), and REverse Time AttentIoN model (RETAIN; 0.839, 95% CI 0.748-0.916) had a statistically significant 95% PI and excellent discrimination performance. The ARIC risk score and PCP-HF models had significant summary discrimination among cohorts with a uniform prediction window. 77% of model results were at high risk of bias, certainty of evidence was low, and no model had a clinical impact study. CONCLUSIONS: Prediction models for estimating risk of incident HF in the community demonstrate excellent discrimination performance. Their usefulness remains uncertain due to high risk of bias, low certainty of evidence, and absence of clinical effectiveness research.

Serum cholesterol levels and the risk of brain natriuretic peptide-diagnosed heart failure in postmenopausal women: a population-based prospective cohort study.

OBJECTIVE: Hormonal changes during menopause can disturb serum cholesterol which is closely associated with cardiovascular disease. This study investigated the prospective association between serum cholesterol and heart failure (HF) risk in postmenopausal women. METHODS: We analyzed data from 1,307 Japanese women, aged 55 to 94 years. All women had no history of HF, and their baseline brain natriuretic peptide (BNP) levels were less than 100 pg/mL. During the follow-ups conducted every 2 years, HF was diagnosed among women who developed BNP of 100 pg/mL or greater. Cox proportional hazard models were applied to calculate hazard ratios and 95% CI of HF for women per their baseline total cholesterol, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol (HDL-C) levels. The Cox regression models were adjusted for age, body mass index, smoking, alcohol drinking, hypertension, diabetes, cardiac murmurs, arrhythmia, stroke or ischemic heart disease, chronic kidney disease, and lipid-lowering agent use. RESULTS: Within an 8-year median follow-up, 153 participants developed HF. In the multivariable-adjusted model, women with total cholesterol of 240 mg/dL or greater (compared with 160-199 mg/dL) and HDL-C of 100 mg/dL or greater (compared with 50-59 mg/dL) showed an increased risk of HF: hazard ratios (95% CI) = 1.70 (1.04-2.77) and 2.70 (1.10-6.64), respectively. The results remained significant after further adjusting for baseline BNP. No associations were observed with low-density lipoprotein cholesterol. CONCLUSIONS: Total cholesterol of 240 mg/dL or greater and HDL-C of 100 mg/dL or greater were positively associated with the risk of HF in postmenopausal Japanese women.

Incident cardiovascular, renal, metabolic diseases and death in individuals identified for risk-guided atrial fibrillation screening: a nationwide cohort study.

OBJECTIVE: Risk-guided atrial fibrillation (AF) screening may be an opportunity to prevent adverse events in addition to stroke. We compared events rates for new diagnoses of cardio-renal-metabolic diseases and death in individuals identified at higher versus lower-predicted AF risk. METHODS: From the UK Clinical Practice Research Datalink-GOLD dataset, 2 January 1998-30 November 2018, we identified individuals aged ≥30 years without known AF. The risk of AF was estimated using the FIND-AF (Future Innovations in Novel Detection of Atrial Fibrillation) risk score. We calculated cumulative incidence rates and fit Fine and Gray's models at 1, 5 and 10 years for nine diseases and death adjusting for competing risks. RESULTS: Of 416 228 individuals in the cohort, 82 942 were identified as higher risk for AF. Higher-predicted risk, compared with lower-predicted risk, was associated with incident chronic kidney disease (cumulative incidence per 1000 persons at 10 years 245.2; HR 6.85, 95% CI 6.70 to 7.00; median time to event 5.44 years), heart failure (124.7; 12.54, 12.08 to 13.01; 4.06), diabetes mellitus (123.3; 2.05, 2.00 to 2.10; 3.45), stroke/transient ischaemic attack (118.9; 8.07, 7.80 to 8.34; 4.27), myocardial infarction (69.6; 5.02, 4.82 to 5.22; 4.32), peripheral vascular disease (44.6; 6.62, 6.28 to 6.98; 4.28), valvular heart disease (37.8; 6.49, 6.14 to 6.85; 4.54), aortic stenosis (18.7; 9.98, 9.16 to 10.87; 4.41) and death from any cause (273.9; 10.45, 10.23 to 10.68; 4.75). The higher-risk group constituted 74% of deaths from cardiovascular or cerebrovascular causes (8582 of 11 676). CONCLUSIONS: Individuals identified for risk-guided AF screening are at risk of new diseases across the cardio-renal-metabolic spectrum and death, and may benefit from interventions beyond ECG monitoring.

Significance of coronary artery calcification for predicting major adverse cardiovascular events: results from the NADESICO study in Japan.

BACKGROUND: We aimed to determine the usefulness and sex differences of assessment of coronary artery calcification (CAC) with cardiovascular risk factors and major adverse cardiovascular events (MACE) in Japanese patients. METHODS: In a nationwide, multicenter, prospective cohort study, 1187 patients with suspected coronary artery disease who underwent coronary computed tomography were enrolled. MACE included cardiovascular death, myocardial infarction, stroke, revascularization, and hospitalization for unstable angina, heart failure, or aortic disease. The concordance (C)-statistics were used to assess the relationships among the Suita risk score, CAC score, and incident MACE, with emphasis on sex differences. RESULTS: The final analysis included 982 patients (mean age, 64.7 ±â€¯6.6 years; male patients, 53.9 %). MACE developed in 65 male and 21 female patients during a median follow-up of 1480 days. The C-statistics calculated using Suita score for MACE were 0.650, 0.633, and 0.569 in overall, male, and female patients, respectively. In overall patients, the C-statistic significantly increased in combined models of Agatston CAC scores of ≥100, 200, 300, or 400 and the Suita score. In each sex, the C-statistics significantly increased in the model that added an Agatston CAC score of ≥100 and ≥200 (+0.049 and +0.057) in male patients, and ≥400 (+0.119) in females, respectively. CONCLUSIONS: Adding assessment of Agatston CAC scores to Suita score was useful to improve the predictive ability for future MACE in Japanese patients. Agatston CAC scores of ≥100 or 200 in male and ≥400 in female patients in addition to Suita score improved the MACE risk prediction.

Combination of coronary CT angiography, FFRCT , and risk factors in the prediction of major adverse cardiovascular events in patients suspected CAD.

BACKGROUND: To examine the utility of fractional flow reserve by coronary computed tomography (CT) angiography (FFRCT ) for predicting major adverse cardiovascular events (MACE) in patients with suspected coronary artery disease (CAD). METHODS: This was a nationwide multicenter prospective cohort study including consecutive 1187 patients aged 50-74 years with suspected CAD and had available coronary CT angiography (CCTA). In patients with ≥50% coronary artery stenosis (CAS), FFRCT was further analyzed. The Cox proportional hazards model was used to examine the association of FFRCT and cardiovascular risk factors with incident MACE within 2 years. RESULTS: Among 933 patients with available information on MACE within 2 years after enrollment, the incidence rate of MACE was higher in 281 patients with CAS than in those without CAS (6.11 vs. 1.16 per 100 patient-year). In 241 patients with CAS, the Cox proportional hazards analysis showed that FFRCT as well as diabetes mellitus and low high-density lipoprotein cholesterol level were independently associated with incident MACE. Moreover, the hazard ratio was significantly higher in patients harboring all three factors compared to those harboring 0-2 of the three factors (6.01; 95% confidence interval: 2.77-13.03). CONCLUSIONS: Combinatorial assessment using CCTA for stenosis, FFRCT , and risk factors was useful for more accurate prediction of MACE in patients with suspected CAD. Among patients with CAS, those with lower FFRCT , diabetes mellitus, and low high-density lipoprotein cholesterol level were at highest risk for MACE during the 2-year period following enrollment.

Comparison of care and outcomes for myocardial infarction by heart failure status between United Kingdom and Japan.

AIMS: Prognosis for ST-segment elevation myocardial infarction (STEMI) is worse when heart failure is present on admission. Understanding clinical practice in different health systems can identify areas for quality improvement initiatives to improve outcomes. In the absence of international comparison studies, we aimed to compare treatments and in-hospital outcomes of patients admitted with ST elevation myocardial infarction (STEMI) by heart failure status in two healthcare-wide cohorts. METHODS AND RESULTS: We used two nationwide databases to capture admissions with STEMI in the United Kingdom (Myocardial ischemia National Audit Project, MINAP) and Japan (Japanese Registry of All Cardiac and Vascular Diseases-Diagnostic Procedure Combination, JROAD-DPC) between 2012 and 2017. Participants were stratified using the HF Killip classification into three groups; Killip 1: no congestive heart failure, Killip 2-3: congestive heart failure, Killip 4: cardiogenic shock. We calculated crude rate and case mix standardized risk ratios (CSRR) for use of treatments and in-hospital death. Patients were younger in the United Kingdom (65.4 [13.6] vs. 69.1 [13.0] years) and more likely to have co-morbidities in the United Kingdom except for diabetes and hypertension. Japan had a higher percentage of heart failure and cardiogenic shock patients among STEMI during admission than that in the United Kingdom. Primary percutaneous coronary intervention (pPCI) rates were lower in the United Kingdom compared with Japan, especially for patients presenting with Killip 2-3 class heart failure (pPCI use in patients with Killip 1, 2-3, 4: Japan, 86.2%, 81.7%, 78.7%; United Kingdom, 79.6%, 58.2% and 79.9%). In contrast, beta-blocker use was consistently lower in Japan than in the United Kingdom (61.4% vs. 90.2%) across Killip classifications and length of hospital stay longer (17.0 [9.7] vs. 5.0 [7.4] days). The crude rate of in-hospital mortality increased with increasing Killip class group. Both the crude rate and CSRR was higher in the United Kingdom compared with Japan for Killip 2-3 (15.8% vs. 6.4%, CSRR 1.80 95% CI 1.73-1.87, P < 0.001), and similar for Killip 4 (36.9% vs. 36.3%, CSRR 1.11 95% CI 1.08-1.13, P < 0.001). CONCLUSIONS: Important differences in the care and outcomes for STEMI with heart failure exist between the United Kingdom and Japan. Specifically, in the United Kingdom, there was a lower rate of pPCI, and in Japan, fewer patients were prescribed beta blockers and hospital length of stay was longer. This international comparison can inform targeted quality improvement programmes to narrow the outcome gap between health systems.

Prediction of short-term atrial fibrillation risk using primary care electronic health records.

OBJECTIVE: Atrial fibrillation (AF) screening by age achieves a low yield and misses younger individuals. We aimed to develop an algorithm in nationwide routinely collected primary care data to predict the risk of incident AF within 6 months (Future Innovations in Novel Detection of Atrial Fibrillation (FIND-AF)). METHODS: We used primary care electronic health record data from individuals aged ≥30 years without known AF in the UK Clinical Practice Research Datalink-GOLD dataset between 2 January 1998 and 30 November 2018, randomly divided into training (80%) and testing (20%) datasets. We trained a random forest classifier using age, sex, ethnicity and comorbidities. Prediction performance was evaluated in the testing dataset with internal bootstrap validation with 200 samples, and compared against the CHA2DS2-VASc (Congestive heart failure, Hypertension, Age >75 (2 points), Stroke/transient ischaemic attack/thromboembolism (2 points), Vascular disease, Age 65-74, Sex category) and C2HEST (Coronary artery disease/Chronic obstructive pulmonary disease (1 point each), Hypertension, Elderly (age ≥75, 2 points), Systolic heart failure, Thyroid disease (hyperthyroidism)) scores. Cox proportional hazard models with competing risk of death were fit for incident longer-term AF between higher and lower FIND-AF-predicted risk. RESULTS: Of 2 081 139 individuals in the cohort, 7386 developed AF within 6 months. FIND-AF could be applied to all records. In the testing dataset (n=416 228), discrimination performance was strongest for FIND-AF (area under the receiver operating characteristic curve 0.824, 95% CI 0.814 to 0.834) compared with CHA2DS2-VASc (0.784, 0.773 to 0.794) and C2HEST (0.757, 0.744 to 0.770), and robust by sex and ethnic group. The higher predicted risk cohort, compared with lower predicted risk, had a 20-fold higher 6-month incidence rate for AF and higher long-term hazard for AF (HR 8.75, 95% CI 8.44 to 9.06). CONCLUSIONS: FIND-AF, a machine learning algorithm applicable at scale in routinely collected primary care data, identifies people at higher risk of short-term AF.

Blood pressure per the 2017 ACC/AHA and 2018 ESC/ESH guidelines and heart failure risk: the Suita Study.

Hypertension is a significant risk factor for heart failure (HF). Since hypertension definition varies across guidelines, identifying blood pressure (BP) categories that should be targeted to prevent HF is required. We, therefore, investigated the association between hypertension per the 2017 American College of Cardiology/American Heart Association (ACC/AHA) and 2018 European Society of Cardiology/European Society of Hypertension (ESC/ESH) guidelines and HF risk. This prospective cohort study included randomly selected 2809 urban Japanese people from the Suita Study. Cox regression was used to assess HF risk, in the form of hazard ratios (HRs) and 95% confidence intervals (95% CIs), for different BP categories in both guidelines, compared to a reference category defined as systolic BP (SBP) <120 mmHg and diastolic BP (DBP) <80 mmHg. Within 8 years of median follow-up, 339 HF cases were detected. Per the 2017 ACC/AHA guidelines, hypertension I and II and isolated systolic hypertension were associated with increased HF risk: HRs (95% CIs) = 1.81 (1.33-2.47), 1.68 (1.24-2.27), and 1.64 (1.13-2.39), respectively. Per the 2018 ESC/ESH guidelines, high-normal BP, hypertension I, II, and III, and isolated systolic hypertension were associated with increased HF risk: HRs (95% CIs) = 1.88 (1.35-2.62), 1.57 (1.13-2.16), 2.10 (1.34-3.29), 2.57 (1.15-5.77), and 1.51 (1.04-2.19), respectively. In conclusion, hypertension and isolated systolic hypertension per the 2017 ACC/AHA and 2018 ESC/ESH guidelines and high-normal BP per the 2018 ESC/ESH guidelines are risk factors for HF.

Impact of a national screening programme on obesity and cardiovascular risk factors.

AIMS: The benefits of nationwide screening and tailored health guidance on improving obesity and cardiovascular risk factors is uncertain. The aim of the present study was to investigate the association of the national health screening and tailored health guidance with population health outcomes. METHODS AND RESULTS: A fuzzy regression discontinuity design analysed data of men and women aged 40-74 years who participated in a nationwide health screening programme in Japan from 1 April 2008 to 31 March 2019 and were recorded in the Japanese National Database. Exposure was assignment to the national health guidance of counselling on healthy lifestyle and clinical follow-up for individuals found to have waist circumference ≥85 cm for men ≥90 cm for women with one or more cardiovascular risk factors during annual national health screening. The primary outcomes were changes in obesity status and cardiovascular risk factors 1 year after screening. Of 3 490 112 men and 2 328 929 women, the assignment to the health guidance resulted in small reductions in obesity parameters: waist circumference; men, -0.27 cm [95% confidence interval (CI) -0.29 to -0.26]; women -0.34 (-0.41 to -0.27); body mass index, -0.07 kg/m2 (-0.075 to -0.066); -0.11 kg/m2 (-0.13 to -0.10); weight, -0.21 kg (-0.22 to -0.19); -0.28 kg (-0.32 to -0.24) that attenuated over time. Short-term improvements were also observed in blood pressure, haemoglobin A1c, fasting glucose and triglycerides across both sexes. CONCLUSION: A nationwide health screening programme was associated with only small, and transient improvements in obesity and cardiovascular risk factors.

In this national cohort of 5 819 041 men and women in Japan, we provide robust evidence that nationwide assignment to the health guidance resulted in only a small reduction in obesity parameters in men and women which was lost within only a few years. Exposure to the health guidance also failed to lead to long-term changes in cardiovascular risk factors and lifestyle behaviours. Japan is the only country with large populace across the globe that provides the annual prevention programme, and thus this study renders unique results of international importance.

Risks and benefits of oral anticoagulants for stroke prophylaxis in atrial fibrillation according to body mass index: Nationwide cohort study of primary care records in England.

Background: Direct oral anticoagulants (DOACs) are effective and safe alternatives to warfarin for stroke prophylaxis for atrial fibrillation (AF). Whether this extends to patients at the extremes of body mass index (BMI) is unclear. Methods: Using linked primary and secondary data, Jan 1, 2010 to Nov 30, 2018, we included CHA2DS2-VASC score ≥3 in women and ≥2 in men with AF treated with oral anticoagulants (OACs). Outcomes were ischaemic stroke, major bleeding and all-cause mortality by World Health Organisation BMI classification. Patients who received warfarin were propensity score matched (1:1 ratio) with those who received DOACs and the association of time-varying OAC exposure on outcomes quantified using Cox proportional hazards models. Findings: We included 29,135 (22,818 warfarin, 6317 DOAC); 585 (2.0%) underweight, 8427 (28.9%) normal weight, 10,705 (36.7%) overweight, 5910 (20.3%) class I obesity and 3508 (12.0%) class II/III obesity. Patients treated with DOACs were older and more comorbid. After 3.7 (SD 2.5) years follow up, there was no difference in risk of ischaemic stroke and major bleeding by BMI category between DOACs and warfarin. Normal weight, overweight and obese class I patients had higher risk of all-cause mortality when treated with DOACs compared with warfarin (HR: 1.45 [95% CI 1.24-1.69], p < 0.001; 1.41 [95% CI 1.19-1.66], p < 0.001; and 1.90 [95% CI 1.50-2.39], p < 0.001), an effect not observed after DOACs became the most common OAC prescription. Amongst underweight patients OAC exposure was associated with greater harm from bleeding than benefit from stroke prevention (benefit to harm ratio, 0.35 [95% CI 0.26-0.44]). Interpretation: In patients with AF in each BMI classification we found no difference in ischaemic stroke and bleeding risk for DOACs compared with warfarin. Underweight patients experienced divergent risk-benefit patterns from oral anticoagulation compared with other BMI categories. Funding: None.