Impact of Chronic Kidney Disease on the Processes of Care and Long-Term Mortality of Non-ST-Segment-Elevation Myocardial Infarction: A Nationwide Cohort Study and Long-Term Follow-Up.

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.

Clinical Outcomes of Percutaneous Coronary Intervention in Amyloidosis, Sarcoidosis, and Hemochromatosis.

Background: Infiltrative diseases (IDs), including amyloidosis, sarcoidosis, and hemochromatosis, are characterized by abnormal cellular infiltration in multiple organs, including the heart. The prognosis of percutaneous coronary intervention (PCI) patients with underlying IDs has not been well-studied. We evaluated the prevalence of IDs in patients undergoing PCI and their association with post-PCI outcomes. Methods: The National Inpatient Sample (NIS) 2016-2020 database was used to identify PCI patients with ICD-10 codes for a retrospective analysis. PCI patients were then divided into those with and without underlying IDs, which included amyloidosis, sarcoidosis, and hemochromatosis. Multivariable logistic regression was performed for composite post-PCI outcomes analyses. Results: Among 2,360,860 patients admitted to undergo PCI, 7855 patients had underlying IDs. The highest prevalence was observed for sarcoidosis (0.2%) followed by hemochromatosis (0.07%) and amyloidosis (0.04%). Underlying amyloidosis was associated with worse composite post-PCI outcomes (odds ratio [OR], 1.6; 95% CI, 1.1-2.44; P = .02), including higher in-hospital mortality (OR, 1.9; 95% CI, 1.1-3.4; P = .04), higher risk of intra/post-PCI stroke (OR, 4.0; 95% CI, 1.1-16.0; P = .04), but not major bleeding (OR, 2.2; 95% CI, 0.97-5.03; P = .058). In contrast, underlying sarcoidosis (OR, 1.1; 95% CI, 0.87-1.41; P = .4), and hemochromatosis (OR, 1.18; 95% CI, 0.77-1.8; P = .44) were not associated with composite post-PCI outcomes. Amyloidosis patients undergoing PCI also had higher hospitalization charges ($212,123 vs $141,137; P = .03) and longer length of stay (8.2 vs 3.9 days; P < .001). Conclusions: Underlying amyloidosis was associated with worse post-PCI outcomes including higher in-hospital mortality, intra/post-PCI stroke, and socioeconomic burden. A multidisciplinary approach and future studies are needed to investigate the screening and treatment strategies in these patients.

The burden of cardiovascular disease in Asia from 2025 to 2050: a forecast analysis for East Asia, South Asia, South-East Asia, Central Asia, and high-income Asia Pacific regions.

Background: Given the rapidly growing burden of cardiovascular disease (CVD) in Asia, this study forecasts the CVD burden and associated risk factors in Asia from 2025 to 2050. Methods: Data from the Global Burden of Disease 2019 study was used to construct regression models predicting prevalence, mortality, and disability-adjusted life years (DALYs) attributed to CVD and risk factors in Asia in the coming decades. Findings: Between 2025 and 2050, crude cardiovascular mortality is expected to rise 91.2% despite a 23.0% decrease in the age-standardised cardiovascular mortality rate (ASMR). Ischaemic heart disease (115 deaths per 100,000 population) and stroke (63 deaths per 100,000 population) will remain leading drivers of ASMR in 2050. Central Asia will have the highest ASMR (676 deaths per 100,000 population), more than three-fold that of Asia overall (186 deaths per 100,000 population), while high-income Asia sub-regions will incur an ASMR of 22 deaths per 100,000 in 2050. High systolic blood pressure will contribute the highest ASMR throughout Asia (105 deaths per 100,000 population), except in Central Asia where high fasting plasma glucose will dominate (546 deaths per 100,000 population). Interpretation: This forecast forewarns an almost doubling in crude cardiovascular mortality by 2050 in Asia, with marked heterogeneity across sub-regions. Atherosclerotic diseases will continue to dominate, while high systolic blood pressure will be the leading risk factor. Funding: This was supported by the NUHS Seed Fund (NUHSRO/2022/058/RO5+6/Seed-Mar/03), National Medical Research Council Research Training Fellowship (MH 095:003/008-303), National University of Singapore Yong Loo Lin School of Medicine's Junior Academic Fellowship Scheme, NUHS Clinician Scientist Program (NCSP2.0/2024/NUHS/NCWS) and the CArdiovascular DiseasE National Collaborative Enterprise (CADENCE) National Clinical Translational Program (MOH-001277-01).

30-Day unplanned readmission rates, causes and outcomes of patients hospitalized for acute coronary syndrome based on the trial participation status.

BACKGROUND: This study aimed to investigate the association between index trial participation status and 30-day unplanned readmission rates, causes, and outcomes in acute coronary syndrome (ACS) patients. METHODS: The National Readmission Database was analysed for all index hospitalizations with a principal diagnosis of ACS between October 2015 to November 2019, stratified by index trial participation status (International Classification of Diseases - 10th edition code: Z00.6). The 30-day unplanned readmission rates, causes and outcomes were analysed, including the assessment of factors associated with readmission. Multivariable regression analyses were reported as adjusted odds ratios (aOR) with 95 % confidence intervals (95 % CI). All analyses were weighted and utilized hierarchical multi-level organization. RESULTS: A total of 2,066,328 cases with a principal diagnosis of ACS were included in the study, of which there were 4061 trial participants (0.2 %) and 189,240 (9.2 %) cases experienced unplanned 30-day readmission. Rates of unplanned 30-day readmission were similar between trial participants and non-participants (9.8 % vs. 9.2 %, p = 0.16). Consistently, after multivariable adjustment, there was no significant association between trial participation and unplanned 30-day readmissions (aOR 0.96, 95 % CI 0.86-1.07, p = 0.45). Compared with trial participants, the majority of readmissions in non-participants were related to cardiovascular conditions (55.2 % vs. 46.7 %, p = 0.005, respectively). There was no significant difference in all-cause mortality (5.5 % vs. 4.6 %, p = 0.368, respectively), but trial participants were more likely to develop major bleeding (3.5 % vs. 2.1 %, p = 0.044), ischemic stroke (4.0 % vs. 2.1 %, p = 0.008) and haemorrhagic stroke (2.0 % vs. 0.6 %, p < 0.001) at readmissions. CONCLUSION: Overall rates of unplanned 30-day readmissions after ACS are similar between trial participants and non-participants, but non-participation in trials was associated with a higher likelihood of cardiovascular readmission.

EXPRESS: Dual Versus Triple Antithrombotic Therapy in Atrial Fibrillation and Acute Coronary Syndrome: An Updated Meta-Analysis of Randomized Controlled Trials.

Antithrombotic treatment in patients with atrial fibrillation (AF) and acute coronary syndrome (ACS) poses a dilemma. We compared outcomes of dual thrombotic therapy (DAT) (direct oral anticoagulants [DOACs]/warfarin + antiplatelets) versus triple antithrombotic therapy (TAT) (DOACs/warfarin, aspirin, and P2Y12 inhibitor) in this population. Multiple databases were searched from inception to 12/17/2023 to identify randomized controlled trials (RCTs) comparing DAT versus TAT in patients with AF and ACS. Outcomes included major adverse cardiac events (MACE), bleeding events, stroke, stent thrombosis, and myocardial infarction (MI). Relative risk (RR) and 95% confidence intervals were estimated with a random-effects model using the inverse-variance technique. We assigned I2>50% as an indicator of statistical heterogeneity. P-value <0.05 was considered significant. Ten RCTs comprising 6186 patients on TAT (female 26%, mean age 71±9 yrs) and 6,800 patients on DAT (female 27%, mean age 71±9 yrs) were included. Patients receiving DAT experienced lower rates of bleeding events compared to those receiving TAT, with relative risks of 0.69 [0.55-0.87] (p<0.001), 0.65 [0.40-1.06] (p=0.09), and 0.62 [0.46-0.84] (p<0.001) for TAT durations of 3, 6, and 12 months, respectively. No difference was seen in the occurrence of MACE, MI, stroke, or stent thrombosis between DAT and TAT across all 3 durations of TAT therapy. This is the largest pooled analysis comparing TAT to DAT stratified by duration of antithrombotic therapy. Our results revealed that DAT was associated with reduced bleeding risk despite no difference in other outcomes.

Wait-times Benchmarks for risk-based prioritization in Transcatheter Aortic Valve Implantation: a simulation study.

BACKGROUND: Demand for transcatheter aortic valve implantation (TAVI) has increased in the last decade, resulting in prolonged wait-times and undesirable health outcomes in many health systems. Risk-based prioritization and wait-times benchmarks can improve equitable access to patients. METHODS: We used simulation models to follow-up a synthetic population of 50,000 individuals from referral to completion of TAVI. Based on their risk of adverse events, patients could be classified as "low-", "medium-" and "high-risk", and shorter wait-times were assigned for the higher risk groups. We assessed the impacts of the size and wait-times for each risk group on waitlist mortality, hospitalization and urgent TAVIs. All scenarios had the same resource constraints, allowing us to explore the trade-offs between faster access for prioritized patients and deferred access for non-prioritized groups. RESULTS: Increasing the proportion of patients categorized as high-risk, and providing more rapid access to the higher-risk groups achieved the greatest reductions in mortality, hospitalizations and urgent TAVIs (relative reductions of up to 29%, 23% and 38%, respectively). However, this occurs at the expense of excessive wait-times in the non-prioritized low-risk group (up to 25 weeks). We propose wait-times of up to 3 weeks for high-risk patients and 7 weeks for medium-risk patients. CONCLUSIONS: Prioritizing higher-risk patients with faster access leads to better health outcomes, however this also results in unacceptably long wait-times for the non-prioritized groups in settings with limited capacity. Decision-makers must be aware of these implications when developing and implementing waitlist prioritization strategies.

Performance of CHA2DS2-VASc and HAS-BLED in predicting stroke and bleeding in atrial fibrillation and cancer.

Aims: To compare the predictive performance of CHA2DS2-VASc and HAS-BLED scores in atrial fibrillation (AF) patients with and without cancer. Methods and results: Using data from the Clinical Practice Research Datalink in England, we performed a retrospective cohort study of patients with new diagnoses of AF from 2009 to 2019. Cancer was defined as history of breast, prostate, colorectal, lung, or haematological cancer. We calculated the CHA2DS2-VASc and HAS-BLED scores for the 1-year risk of stroke and major bleeding events. Scores performance was estimated by discrimination [area under the receiver operating characteristic curve (AUC)] and calibration plots. Of 141 796 patients with AF, 10.3% had cancer. The CHA2DS2-VASc score had good to modest discrimination in prostate cancer AUC = 0.74 (95% confidence interval: 0.71, 0.77), haematological cancer AUC = 0.71 (0.66, 0.76), colorectal cancer AUC = 0.70 (0.66, 0.75), breast cancer AUC = 0.70 (0.66, 0.74), and lung cancer AUC = 0.69 (0.60, 0.79), compared with no-cancer AUC = 0.73 (0.72, 0.74). HAS-BLED discrimination was poor in prostate cancer AUC = 0.58 (0.55, 0.61), haematological cancer AUC = 0.59 (0.55, 0.64), colorectal cancer AUC = 0.57 (0.53, 0.61), breast cancer AUC = 0.56 (0.52, 0.61), and lung cancer AUC = 0.59 (0.51, 0.67), compared with no-cancer AUC = 0.61 (0.60, 0.62). Both the CHA2DS2-VASc score and HAS-BLED score were well calibrated across all study cohorts. Conclusion: Amongst certain cancer cohorts in the AF population, CHA2DS2-VASc performs similarly in predicting stroke to AF patients without cancer. Our findings highlight the importance of cancer diagnosis during the development of risk scores and opportunities to optimize the HAS-BLED risk score to better serve cancer patients with AF.

Bleeding risk prediction after acute myocardial infarction-integrating cancer data: the updated PRECISE-DAPT cancer score.

BACKGROUND AND AIMS: This study assessed the impact of incorporating cancer as a predictor on performance of the PRECISE-DAPT score. METHODS: A nationally linked cohort of ST-elevation myocardial infarction patients between 1 January 2005 and 31 March 2019 was derived from the UK Myocardial Ischaemia National Audit Project and the UK Hospital Episode Statistics Admitted Patient Care registries. The primary outcome was major bleeding at 1 year. A new modified score was generated by adding cancer as a binary variable to the PRECISE-DAPT score using a Cox regression model and compared its performance to the original PRECISE-DAPT score. RESULTS: A total of 216 709 ST-elevation myocardial infarction patients were included, of which 4569 had cancer. The original score showed moderate accuracy (C-statistic .60), and the modified score showed modestly higher discrimination (C-statistics .64; hazard ratio 1.03, 95% confidence interval 1.03-1.04) even in patients without cancer (C-statistics .63; hazard ratio 1.03, 95% confidence interval 1.03-1.04). The net reclassification index was .07. The bleeding rates of the modified score risk categories (high, moderate, low, and very low bleeding risk) were 6.3%, 3.8%, 2.9%, and 2.2%, respectively. According to the original score, 65.5% of cancer patients were classified as high bleeding risk (HBR) and 21.6% were low or very low bleeding risk. According to the modified score, 94.0% of cancer patients were HBR, 6.0% were moderate bleeding risk, and no cancer patient was classified as low or very low bleeding risk. CONCLUSIONS: Adding cancer to the PRECISE-DAPT score identifies the majority of patients with cancer as HBR and can improve its discrimination ability without undermining its performance in patients without cancer.

Temporal trends of in-hospital mortality and its determinants following percutaneous coronary intervention in patients with acute coronary syndrome in England and Wales: A population-based study between 2006 and 2021.

BACKGROUND: There is limited data around drivers of changes in mortality over time. We aimed to examine the temporal changes in mortality and understand its determinants over time. METHODS: 743,149 PCI procedures for patients from the British Cardiovascular Intervention Society (BCIS) database who were aged between 18 and 100 years and underwent Percutaneous Coronary Intervention (PCI) for Acute Coronary Syndrome (ACS) in England and Wales between 2006 and 2021 were included. We decomposed the contributing factors to the difference in the observed mortality proportions between 2006 and 2021 using Fairlie decomposition method. Multiple imputation was used to address missing data. RESULTS: Overall, there was an increase in the mortality proportion over time, from 1.7% (95% CI: 1.5% to 1.9%) in 2006 to 3.1% (95% CI: 3.0% to 3.2%) in 2021. 61.2% of this difference was explained by the variables included in the model. ACS subtypes (percentage contribution: 14.67%; 95% CI: 5.76% to 23.59%) and medical history (percentage contribution: 13.50%; 95% CI: 4.33% to 22.67%) were the strongest contributors to the difference in the observed mortality proportions between 2006 and 2021. Also, there were different drivers to mortality changes between different time periods. Specifically, ACS subtypes and severity of presentation were amongst the strongest contributors between 2006 and 2012 while access site and demographics were the strongest contributors between 2012 and 2021. CONCLUSIONS: Patient factors and the move towards ST-elevated myocardial infarction (STEMI) PCI have driven the short-term mortality changes following PCI for ACS the most.

The prognostic value of mean platelet volume in patients with coronary artery disease: An updated systematic review with meta-analyses.

BACKGROUND: Mean platelet volume (MPV) is a widely available laboratory index, however its prognostic significance in patients with coronary artery disease (CAD) is still unclear. We intended to investigate and pool the evidence on the prognostic utility of admission MPV in predicting clinical outcomes in patients with CAD. METHODS: PubMed, Web of Science, and Scopus were the major databases used for literature search. The risk of bias was assessed using the quality in prognostic factor studies. We used random-effects pairwise analysis with the Knapp and Hartung approach supported further with permutation tests and prediction intervals (PIs). RESULTS: We identified 52 studies with 47,066 patients. A meta-analysis of nine studies with 14,864 patients demonstrated that one femtoliter increase in MPV values was associated with a rise of 29% in the risk of long-term mortality (hazard ratio [HR] 1.29, 95% confidence interval [CI] 1.22-1.37) in CAD as a whole. The results were further supported with PIs, permutation tests and leave-one-out sensitivity analyses. MPV also demonstrated its stable and significant prognostic utility in predicting long-term mortality as a linear variable in patients treated with percutaneous coronary intervention (PCI) and presented with acute coronary syndrome (ACS) (HR 1.29, 95% CI 1.20-1.39, and 1.29, 95% CI 1.19-1.39, respectively). CONCLUSION: The meta-analysis found robust evidence on the link between admission MPV and the increased risk of long-term mortality in patients with CAD patients, as well as in patients who underwent PCI and patients presented with ACS.

Radiation Exposure, Training, and Safety in Cardiology.

Exposure to ionizing radiation is an inherent occupational health hazard in clinical cardiology. Health risks have been reported previously, including predilection to cancer. In addition, orthopedic injury due to prolonged wearing of heavy protective lead aprons, which are mandatory to reduce radiation risk, have been extensively documented. Cardiology as a specialty has grown with rising volumes of increasingly complex procedures. This includes electrophysiological, coronary, and structural intervention, advanced heart failure/transplant management, and diagnostic imaging. Both the operator as well imaging specialists are exposed to radiation, particularly in structural interventions where interventional cardiologists and structural imagers work closely. Increasingly, women interested in cardiology may deselect the field due to radiation concerns. This expert document highlights the risks of radiation exposure in cardiology, including practical tips within various subspecialty fields such as interventional/structural cardiology, electrophysiology, imaging, advanced heart failure, and pediatric cardiology.

Sex differences in Life's Essential Eight and its Association with mortality among US adults without known cardiovascular disease.

Background: The American Heart Association's (AHA) Life's Essential 8 (LE8) score is a helpful tool to quantify cardiovascular health (CVH) metrics. We sought to assess sex differences in relation to LE8 and its components along with association with mortality. Methods: The National Health and Nutrition Examination Survey (NHANES) between 2009 and 2018 was utilized to evaluate the prevalence of health metrics included in LE8 among adult participants > age 18, stratified by sex. We categorized overall CVH, health factors, and health behaviors into 3 levels (low: <50, moderate: 50 -79, high: ≥80) following the AHA's algorithm. Health metrics were further subdivided into health behaviors (diet, physical activity, nicotine exposure, and sleep) and health factors (body mass index, non-high density lipoprotein cholesterol, blood glucose, and blood pressure). LE8 scores were also evaluated based on age, race/ethnicity, and socioeconomic status. Cox proportional hazard models were used to evaluate the association between the levels of CVH and risk of all-cause and cardiovascular mortality, with adjustment for age group and race. Results: Among 22,761 participants, 52 % were female. Overall CVH score was similar in both females and males (65.8 vs. 65.9). Females had higher health factors score (64.3 vs. 63.1, p < 0.001) and lower health behaviors score (67.2 vs 68.6, p < 0.001). Amongst individual metrics, blood pressure score was higher in females (73.2 vs. 67.7, p < 0.001) while males had higher physical activity score (70.6 vs. 54.9, p < 0.001). For individuals under 65 years of age, overall CVH and health factors scores were higher in females while in those age 65 or older, males had higher scores. The most prominent sex differences were noted in non-Hispanic Black females who had significantly lower CVH scores than Black males (62.6 vs. 74.7, respectively, p < 0.001. High LE8 scores vs. low LE8 scores demonstrated lower all-cause (HR 0.37 vs 0.35) and CV mortality (HR 0.35 vs. 0.36) in both males and females, respectively (p-interaction 0.21 and 0.28). High health behaviors scores also demonstrated a significant association with lower all-cause (0.34 vs. 0.24) and CV mortality (HR 0.47 vs. 0.26) in both males and females, respectively (p-interaction 0.20 and 0.11). Conclusions: We demonstrate important sex differences in CVH metrics along with notable variations based on age and race/ethnicity. Furthermore, we highlight that CVH metrics including health factors and health behaviors are associated with mortality in both females and males. These findings underscore the importance of designing and implementing effective strategies for both sexes, aimed at targeting these specific factors.

Impact of Neighborhood Social Deprivation on Delays to Access for Transcatheter Aortic Valve Replacement: Wait-Times and Clinical Consequences.

BACKGROUND: Transcatheter aortic valve replacement (TAVR) has become the standard of care for severe aortic stenosis treatment. Exponential growth in demand has led to prolonged wait times and adverse patient outcomes. Social marginalization may contribute to adverse outcomes. Our objective was to examine the association between different measures of neighborhood-level marginalization and patient outcomes while on the TAVR waiting list. A secondary objective was to understand if sex modifies this relationship. METHODS AND RESULTS: We conducted a population-based retrospective cohort study of 11 077 patients in Ontario, Canada, referred to TAVR from April 1, 2018, to March 31, 2022. Primary outcomes were death or hospitalization while on the TAVR wait-list. Using cause-specific Cox proportional hazards models, we evaluated the relationship between neighborhood-level measures of dependency, residential instability, material deprivation, and ethnic and racial concentration with primary outcomes as well as the interaction with sex. After multivariable adjustment, we found a significant relationship between individuals living in the most ethnically and racially concentrated areas (quintile 4 and 5) and mortality (hazard ratio [HR], 0.64 [95% CI, 0.47-0.88] and HR, 0.73 [95% CI, 0.53-1.00], respectively). There was no significant association between material deprivation, dependency, or residential instability with mortality. Women in the highest ethnic or racial concentration quintiles (4 and 5) had significantly lower risks for mortality (HR values of 0.52 and 0.56, respectively) compared with quintile 1. CONCLUSIONS: Higher neighborhood ethnic or racial concentration was associated with decreased risk for mortality, particular for women on the TAVR waiting list. Further research is needed to understand the drivers of this relationship.

Machine-learning clustering analysis identifies novel phenogroups in patients with ST-elevation acute myocardial infarction.

BACKGROUND: Machine learning clustering of patients with ST-elevation acute myocardial infarction (STEMI) may provide important insights into their risk profile, management and prognosis. METHODS: All adult discharges for STEMI in the National Inpatient Sample (October 2015 to December 2019) were included, excluding patients with prior myocardial infarction. Machine-learning clustering analysis was used to define clusters based on 21 clinical attributes of interest. Main outcomes of the study were cluster-based comparison of risk profile, in-hospital clinical outcomes and utilization of invasive management. Binomial hierarchical multivariable logistic regression with adjusted odds ratios (aOR) and 95% confidence intervals (95% CI) was used to detect the between-cluster differences. RESULTS: Out of overall 470,960 STEMI cases, the machine-learning analysis revealed 4 different clusters with 205,640 (cluster 0: 'behavioural risk cluster'), 146,400 (cluster 1: 'least comorbidity cluster'), 45,100 (cluster 2: 'diabetes with end-organ damage cluster') and 73,820 (cluster 3: 'cardiometabolic cluster') cases. Attributes with the highest importance for clustering were hypertension and diabetes. After multivariable adjustment, patients from 'diabetes with end-organ damage cluster' exhibited the worst mortality, MACCE and ischemic stroke (p < 0.001 for all), as well as the lowest utilization of invasive management (p < 0.001 for all), in comparison to other clusters. Patients from 'behavioural risk cluster' exhibited the best in-hospital prognosis and the highest utilization of invasive management, compared to other clusters (p < 0.001 for all). CONCLUSIONS: Machine learning driven clustering of inpatients with STEMI reveals important population subgroups with distinct prevalence, risk profile, prognosis and management. Data driven approaches may identify high risk phenogroups and warrants further study.

Addressing the Global Burden of Cardiovascular Disease in Women: JACC State-of-the-Art Review.

Cardiovascular diseases (CVDs) are responsible for approximately 35% of all deaths in women. In 2019, the global age-standardized CVD prevalence and mortality of women were 6,403 per 100,000 and 204 per 100,000, respectively. Although the age- and population-adjusted prevalence has decreased globally, opposite trends are evident in regions of socioeconomic deprivation. Cardiovascular health and outcomes are influenced by regional socioeconomic, environmental, and community factors, in addition to health care system and individual factors. Cardiovascular care in women is commonly plagued by delayed diagnoses, undertreatment, and knowledge gaps, particularly in women-specific or women-predominant conditions. In this paper, we describe the global epidemiology of CVD and highlight multilevel determinants of cardiometabolic health. We review knowledge and health care gaps that serve as barriers to improving CVD outcomes in women. Finally, we present national, community, health care system, and research strategies to comprehensively address cardiometabolic risk and improve outcomes in women.

Diabetic myocardial disorder. A clinical consensus statement of the Heart Failure Association of the ESC and the ESC Working Group on Myocardial & Pericardial Diseases.

The association between type 2 diabetes mellitus (T2DM) and heart failure (HF) has been firmly established; however, the entity of diabetic myocardial disorder (previously called diabetic cardiomyopathy) remains a matter of debate. Diabetic myocardial disorder was originally described as the occurrence of myocardial structural/functional abnormalities associated with T2DM in the absence of coronary heart disease, hypertension and/or obesity. However, supporting evidence has been derived from experimental and small clinical studies. Only a minority of T2DM patients are recognized as having this condition in the absence of contributing factors, thereby limiting its clinical utility. Therefore, this concept is increasingly being viewed along the evolving HF trajectory, where patients with T2DM and asymptomatic structural/functional cardiac abnormalities could be considered as having pre-HF. The importance of recognizing this stage has gained interest due to the potential for current treatments to halt or delay the progression to overt HF in some patients. This document is an expert consensus statement of the Heart Failure Association of the ESC and the ESC Working Group on Myocardial & Pericardial Diseases. It summarizes contemporary understanding of the association between T2DM and HF and discuses current knowledge and uncertainties about diabetic myocardial disorder that deserve future research. It also proposes a new definition, whereby diabetic myocardial disorder is defined as systolic and/or diastolic myocardial dysfunction in the presence of diabetes. Diabetes is rarely exclusively responsible for myocardial dysfunction, but usually acts in association with obesity, arterial hypertension, chronic kidney disease and/or coronary artery disease, causing additive myocardial impairment.

Sex differences in transcatheter aortic valve replacement outcomes among patients with bicuspid aortic stenosis.

BACKGROUND: Despite comprising almost half of all patients undergoing valvular repair, data on transcatheter aortic valve replacement (TAVR) in patients with bicuspid aortic stenosis (BAS) are limited. OBJECTIVE: We aimed to evaluate whether there are any sex differences in trends and outcomes of TAVR in this population. METHODS: We utilized the National Inpatient Sample from 2012 to 2020 to identify admissions with BAS who underwent TAVR and analyzed trends and outcomes. Our primary outcome was in-hospital mortality and secondary outcomes were in-hospital complications. We used two models to adjust for demographics (A) and interventions (B). RESULTS: Between 2012 to 2020, there were 76,540 hospitalizations for BAS patients who underwent AVR, among which 6,010 (7.9 %) underwent TAVR. There was an overall increasing trend in number of TAVR cases with a decreasing trend in mortality (2013: 8.7 %, 2020: 1.3 %). TAVR was performed more in males (61.1% vs 38.9 %). Despite the worse baseline characteristics in males, in-hospital mortality (2.4% vs. 1.5 %; OR: 1.584; 95 % CI: 0.621-4.038; p = 0.335) and secondary outcomes were similar across both sexes, even after adjusting for demographics and interventions. CONCLUSION: TAVR in BAS has grown rapidly in the last decade. Males comprised the majority and had more comorbidities, but mortality and complications were similar in both sexes. Despite the increasing number of cases, a decreasing trend in mortality was observed for both sexes ultimately approaching that of SAVR, suggesting that TAVR may be a safe alternative among eligible males and females with bicuspid AS.

The prognostic value of metabolic dysfunction-associated steatotic liver disease in acute myocardial infarction: A propensity score-matched analysis.

AIM: Patients with metabolic dysfunction-associated steatotic liver disease (MASLD) are at increased risk of incident cardiovascular disease. However, the clinical characteristics and prognostic importance of MASLD in patients presenting with acute myocardial infarction (AMI) have yet to be examined. METHODS: This study compared the characteristics and outcomes of patients with and without MASLD presenting with AMI at a tertiary centre in Singapore. MASLD was defined as hepatic steatosis, with at least one of five metabolic criteria. Hepatic steatosis was determined using the Hepatic Steatosis Index. Propensity score matching was performed to adjust for age and sex. The Kaplan-Meier curve was constructed for long-term all-cause mortality. Cox regression analysis was used to investigate independent predictors of long-term all-cause mortality. RESULTS: In this study of 4446 patients with AMI, 2223 patients with MASLD were matched with patients without MASLD using propensity scores. The mean follow-up duration was 3.4 ± 2.4 years. The MASLD group had higher rates of obesity, diabetes and chronic kidney disease than their counterparts. Patients with MASLD had early excess all-cause mortality (6.8% vs. 3.6%, p < .001) at 30 days, with unfavourable mortality rates sustained in the long-term (18.3% vs. 14.5%, p = .001) compared with those without MASLD. After adjustment, MASLD remained independently associated with higher long-term all-cause mortality (hazard ratio 1.330, 95% confidence interval 1.106-1.598, p = .002). CONCLUSION: MASLD embodies a higher burden of metabolic dysfunction and is an independent predictor of long-term mortality in the AMI population. Its early identification may be beneficial for risk stratification and provide therapeutic targets for secondary preventive strategies in AMI.