In adults with ATTR cardiac amyloidosis, patisiran reduced decline in functional capacity at 12 mo.

SOURCE CITATION: Maurer MS, Kale P, Fontana M, et al; APOLLO-B Trial Investigators. Patisiran treatment in patients with transthyretin cardiac amyloidosis. N Engl J Med. 2023;389:1553-1565. 37888916.

Worth Their Weight? An Update on New and Emerging Pharmacologic Agents for Obesity and Their Potential Role for Persons with Cardiac Conditions.

PURPOSE OF REVIEW: Obesity is associated with cardiovascular (CV) conditions, including but not limited to atherosclerotic disease, heart failure, and atrial fibrillation. Despite this, the impact of intentional weight loss on CV outcomes for persons with obesity and established CV conditions remains poorly studied. New and emerging pharmacologic therapies for weight loss primarily targeting the incretin/nutrient sensing axes induce substantial and sustained weight loss. The glucagon-like-peptide 1 receptor agonists (GLP-1 RA) liraglutide and semaglutide have US FDA approval for the treatment of obesity, and the application for an obesity indication for the dual GLP-1/glucose-dependent insulinotropic polypeptide (GIP) receptor agonist tirzepatide is presently under FDA review. Extensive phase II and IIIa randomized controlled trials are underway evaluating permutations of combined GLP-1 RA, GIP receptor agonist, GIP receptor antagonist, and glucagon receptor agonists. Clinical outcome trials of these therapies in persons with obesity at high risk of established CV conditions should make it possible to estimate the role of intentional weight loss in managing CV risk via these medications. RECENT FINDINGS: High-dose once weekly injectable semaglutide (2.4 mg/week) use among persons with obesity and heart failure with preserved ejection fraction was effective at both reducing weight and improving health status; exercise capacity was also improved. Ongoing CV outcome trials of oral semaglutide and once weekly injectable tirzepatide will help to establish the role of these therapies among persons with other CV conditions. In addition to these two therapies targeting a CV claim or indication, many other new therapeutics for weight loss, as reviewed, are currently in development. The impact of pharmacologic-induced weight loss on CV conditions for persons with obesity and established CV conditions is currently under investigation for multiple agents. These therapies may offer new avenues to manage CV risk in persons with obesity and with established or at high risk for CV disease.

Heart Failure Readmission in Patients With ST-Segment Elevation Myocardial Infarction and Active Cancer.

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.

Trends and Outcomes Associated With Bariatric Surgery and Pharmacotherapies With Weight Loss Effects Among Patients With Heart Failure and Obesity.

BACKGROUND: Utilization patterns of bariatric surgery among older patients with heart failure (HF), and the associations with cardiovascular outcomes, are not well known. METHODS: Medicare beneficiaries with HF and at least class II obesity from 2013 to 2020 were identified with Medicare Provider Analysis and Review 100% inpatient files and Medicare 5% outpatient files. Patients who underwent bariatric surgery were matched to controls in a 1:2 ratio (matched on exact age, sex, race, body mass index, HF encounter year, and HF hospitalization rate pre-surgery/matched period). In an exploratory analysis, patients prescribed pharmacotherapies with weight loss effects (semaglutide, liraglutide, naltrexone-bupropion, or orlistat) were identified and matched to controls with a similar strategy in addition to HF medical therapy data. Cox models evaluated associations between weight loss therapies (as a time-varying covariate) and mortality risk and HF hospitalization rate (calculated as the rate of HF hospitalizations following index HF encounter per 100 person-months) during follow-up. RESULTS: Of 298 101 patients with HF and body mass index ≥35 kg/m2, 2594 (0.9%) underwent bariatric surgery (45% men; mean age, 56.2 years; mean body mass index, 51.5 kg/m2). In propensity-matched analyses over a median follow-up of 4.7 years, bariatric surgery was associated with lower risk of all-cause mortality (HR, 0.55 [95% CI, 0.49-0.63]; P<0.001), greater reduction in HF hospitalization rate (rate ratio, 0.72 [95% CI, 0.67-0.77]; P<0.001), and lower atrial fibrillation risk (HR, 0.78 [95% CI, 0.65-0.93]; P=0.006). Use of pharmacotherapies with weight loss effects was low (4.8%), with 96.3% prescribed GLP-1 (glucagon-like peptide-1) agonists (semaglutide, 23.6%; liraglutide, 72.7%). In propensity-matched analysis over a median follow-up of 2.8 years, patients receiving pharmacotherapies with weight loss effects (versus matched controls) had a lower risk of all-cause mortality (HR, 0.82 [95% CI, 0.71-0.95]; P=0.007) and HF hospitalization rate (rate ratio, 0.87 [95% CI, 0.77-0.99]; P=0.04). CONCLUSIONS: Bariatric surgery and pharmacotherapies with weight loss effects are associated with a lower risk of adverse outcomes among older patients with HF and obesity; however, overall utilization remains low.

2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association.

BACKGROUND: The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS: The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS: Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS: The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Prevalence and outcomes of type 2 myocardial infarction in patients with cancer: A retrospective analysis from the National Inpatient Sample dataset.

BACKGROUND: This study aimed to investigate the prevalence, clinical characteristics and outcomes of type 2 myocardial infarction (T2AMI) in patients with versus without cancer. METHODS: All hospitalizations with a primary discharge diagnosis of T2AMI were stratified according to cancer status (secondary diagnosis of any-cancer vs cancer-free) using data from the US National Inpatient Sample (2016-2019). The primary outcome was in-hospital all-cause mortality while secondary outcomes were in-hospital major adverse cardiovascular and cerebrovascular events (MACCE). RESULTS: Among 61,305 included hospitalizations with primary diagnosis of T2AMI, 3745 (6.1%) were associated with a diagnosis of cancer. Patients with T2AMI and cancer presented more frequently with acute respiratory failure (23.2% vs 18.1%), acute pulmonary embolism (3.7% v 1.3%), major bleeding (6.8% vs 4.1%) and renal failure (51.0% vs 46.8%), compared to patients without. On adjusted analysis, diagnosis of cancer was associated with lower odds of invasive coronary angiography (aOR 0.75, 95% CI 0.60 to 0.93, p = 0.009) but greater odds of mortality (aOR 1.95, 95% C.I. 1.26-2.99 p = 0.002). Among the different types of cancer, adjusted risk of all-cause mortality was higher in patients with colorectal (aOR 4.17 95% CI 1.68-10.32, p = 0.002), lung (aOR 3.63, 95% CI 1.83-7.18, p < 0.001) and haematologic (aOR 2.48, 95% CI 1.22-5.05, p = 0.001) cancer. CONCLUSIONS: Patients with cancer presenting with T2AMI have lower odds of management with invasive diagnostic coronary angiography and have higher rates of in-hospital all-cause death. Further studies are warranted to improve overall care and outcomes of cancer patients and cardiovascular diseases.

Polypharmacy and Optimization of Guideline-Directed Medical Therapy in Heart Failure: The GUIDE-IT Trial.

BACKGROUND: Polypharmacy is common among patients with heart failure with reduced ejection fraction (HFrEF). However, its impact on the use of optimal guideline-directed medical therapy (GDMT) is not well established. OBJECTIVES: This study sought to evaluate the association between polypharmacy and odds of receiving optimal GDMT over time among patients with HFrEF. METHODS: The authors conducted a post hoc analysis of the GUIDE-IT (Guiding Evidence-Based Therapy Using Biomarker Intensified Treatment) trial. Polypharmacy was defined as receiving ≥5 medications (excluding HFrEF GDMT) at baseline. The outcome of interest was optimal triple therapy GDMT (concurrent administration of a renin-angiotensin-aldosterone blocker and beta-blocker at 50% of the target dose and a mineralocorticoid receptor antagonist at any dose) achieved over the 12-month follow-up. Multivariable adjusted mixed-effect logistic regression models with multiplicative interaction terms (time × polypharmacy) were constructed to evaluate how polypharmacy at baseline modified the odds of achieving optimal GDMT on follow-up. RESULTS: The study included 891 participants with HFrEF. The median number of non-GDMT medications at baseline was 4 (IQR: 3-6), with 414 (46.5%) prescribed ≥5 and identified as being on polypharmacy. The proportion of participants who achieved optimal GDMT at the end of the 12-month follow-up was lower with vs without polypharmacy at baseline (15% vs 19%, respectively). In adjusted mixed models, the odds of achieving optimal GDMT over time were modified by baseline polypharmacy status (P for interaction < 0.001). Patients without polypharmacy at baseline had increased odds of achieving GDMT (OR: 1.16 [95% CI: 1.12-1.21] per 1-month increase; P < 0.001) but not patients with polypharmacy (OR: 1.01 [95% CI: 0.96-1.06)] per 1-month increase). CONCLUSIONS: Patients with HFrEF who are on non-GDMT polypharmacy have lower odds of achieving optimal GDMT on follow-up.

Association between cancer, CHA2DS2VASc risk, and in-hospital ischaemic stroke in patients hospitalized for atrial fibrillation.

BACKGROUND: Atrial fibrillation (AF) is commonly encountered in cancer patients. We investigated the CHA2DS2VASc score, and its association with in-hospital ischaemic stroke in patients with cancer who were hospitalized for AF. METHODS AND RESULTS: Using the United States National Inpatient Sample, all hospitalizations with principal diagnosis of AF between October 2015 and December 2018 were stratified by cancer diagnosis, type, and CHA2DS2VASc risk categories (low risk, low-moderate risk, moderate-high risk). In-hospital ischaemic stroke and its association with the CHA2DS2VASc risk score was assessed across the groups using hierarchical multivariable logistic regression with adjusted odds ratios (aOR) and 95% confidence intervals (95% CI). Discrimination of CHA2DS2VASc score for in-hospital ischaemic stroke was evaluated with Receiver Operating Characteristic and Area Under the Curve (AUC). Among 1 341 870 included hospitalizations, 71 965 (5.4%) had comorbid cancer. Cancer patients had a higher proportion of moderate-high CHA2DS2VASc risk compared with their non-cancer counterparts (86.5% vs. 82.3%, P < 0.001). Compared with their low CHA2DS2VASc risk counterparts, cancer patients in low-moderate and moderate-high risk scores had similar odds of developing stroke (aOR 1.28 95% CI 0.22-7.63 and aOR 1.78 95% CI 0.41-7.66, respectively). The CHA2DS2VASc risk score had poor discrimination for ischaemic stroke in the cancer group (AUC 0.538 95% CI 0.477-0.598). CONCLUSION: Cancer patients with AF have high CHA2DS2VASc risk. Discrimination of CHA2DS2VASc for ischaemic stroke is lower in cancer than non-cancer patients, and CHA2DS2VASc may not be adequate in determining ischaemic risk in cancer population.

The association between cancer diagnosis, care, and outcomes in 1 million patients hospitalized for acute pulmonary embolism.

OBJECTIVES: To evaluate the clinical care provided to cancer patients hospitalized for acute pulmonary embolism (PE), as well as the association between type of cancer, in-hospital care, and clinical outcomes. METHODS: This study examined the in-hospital care (systemic thrombolysis, catheter-directed thrombolysis, and surgical thrombectomy/embolectomy) and clinical outcomes (mortality, major bleeding, and hemorrhagic stroke) among adults hospitalized due to acute PE between October 2015 to December 2018 using the National Inpatient Sample (NIS). Multivariable logistic regression analysis was used to determine adjusted odds ratios (aOR) with 95% confidence interval (95% CI). RESULTS: Of 1,090,130 hospital records included in the analysis, 216,825 (19.9%) had current cancer diagnoses, including lung (4.7%), hematological (2.5%), colorectal (1.6%), breast (1.3%), prostate (0.8%), and 'other' cancer (9.0%). Cancer patients had lower adjusted odds of receiving systemic thrombolysis, catheter-directed therapy, and surgical thrombectomy/embolectomy compared with their non-cancer counterparts (P < 0.001), except for systemic thrombolysis (aOR 0.96, 95% CI 0.85-1.09, P = 0.553) and catheter-directed therapy (aOR 0.82, 95% CI 0.67-1.00, P = 0.053) for prostate cancer. Cancer patients had greater odds of mortality (P < 0.05). Lung cancer patients had the highest odds of mortality (aOR 2.68, 95% CI 2.61-2.76, P < 0.001) and hemorrhagic stroke (aOR 1.75, 95% CI 1.61-1.90, P < 0.001), while colorectal cancer patients had the greatest odds of bleeding (aOR 2.04, 95% CI 1.94-2.15, P < 0.001). CONCLUSION: Among those hospitalized for PE, cancer diagnoses were associated with lower odds of invasive management and poorer in-hospital outcomes, with metastatic status being an especially important determinant. Appropriateness of care could not be assessed in this study.

Palliative Care Utilization Among Hospitalized Patients With Common Chronic Conditions in the United States.

Objective: Limited data exist around the receipt of palliative care (PC) in patients hospitalized with common chronic conditions. We studied the independent predictors, temporal trends in rates of PC utilization in patients hospitalized with acute exacerbation of common chronic diseases. Methods: Population-based cohort study of all hospitalizations with an acute exacerbation of heart disease (HD), cerebrovascular accident (CVA), cancer (CA), and chronic lower respiratory disease (CLRD). Patients aged ≥18 years or older between January 1, 2004, and December 31, 2017, referred for inpatient PC were extracted from the National Inpatient Sample. Poisson regression analyses were used to estimate temporal trends. Results: Between 2004 and 2017, of 91,877,531 hospitalizations, 55.2%, 13.9%, 17.2%, and 13.8% hospitalizations were related to HD, CVA, CA, and CLRD, respectively. There was a temporal increase in the uptake of PC across all disease groups. Age-adjusted estimated rates of PC per 100,000 hospitalizations/year were highest for CA (2308 (95% CI 2249-2366) to 10,794 (95% CI 10,652-10,936)), whereas the CLRD cohort had the lowest rates of PC referrals (255 (95% CI 231-278) to 1882 (95% CI 1821-1943)) between 2004 and 2017, respectively. In the subgroup analysis of patients who died during hospitalization, the CVA group had the highest uptake of PC per 100,000 hospitalizations/year (4979 (95% CI 4918-5040)) followed by CA (4241 (95% CI 4189-4292)), HD (3250 (95% CI 3211-3289)) and CLRD (3248 (95% CI 3162-3405)). Conclusion: PC service utilization is increasing but remains disparate, particularly in patients that die during hospital admission from common chronic conditions. These findings highlight the need to develop a multidisciplinary, patient-centered approach to improve access to PC services in these patients.

Impact of cancer diagnosis on distribution and trends of cardiovascular hospitalizations in the USA between 2004 and 2017.

BACKGROUND AND AIMS: There is limited data on temporal trends of cardiovascular hospitalizations and outcomes amongst cancer patients. We describe the distribution, trends of admissions, and in-hospital mortality associated with key cardiovascular diseases among cancer patients in the USA between 2004 and 2017. METHODS: Using the Nationwide Inpatient Sample we, identified admissions with five cardiovascular diseases of interest: acute myocardial infarction (AMI), pulmonary embolism (PE), ischaemic stroke, heart failure, atrial fibrillation (AF) or atrial flutter, and intracranial haemorrhage. Patients were stratified by cancer status and type. We estimated crude annual rates of hospitalizations and annual in-hospital all-cause mortality rates. RESULTS: From >42.5 million hospitalizations with a primary cardiovascular diagnosis, 1.9 million (4.5%) had a concurrent record of cancer. Between 2004 and 2017, cardiovascular admission rates increased by 23.2% in patients with cancer, whilst decreasing by 10.9% in patients without cancer. The admission rate increased among cancer patients across all admission causes and cancer types except prostate cancer. Patients with haematological (9.7-13.5), lung (7.4-8.9), and GI cancer (4.6-6.3) had the highest crude rates of cardiovascular hospitalizations per 100 000 US population. Heart failure was the most common reason for cardiovascular admission in patients across all cancer types, except GI cancer (crude admission rates of 13.6-16.6 per 100 000 US population for patients with cancer). CONCLUSIONS: In contrast to declining trends in patients without cancer, primary cardiovascular admissions in patients with cancer is increasing. The highest admission rates are in patients with haematological cancer, and the most common cause of admission is heart failure.

Temporal trends in disease-specific causes of cardiovascular mortality amongst patients with cancer in the USA between 1999 and 2019.

AIMS: We report disease-specific cardiovascular causes of mortality among cancer patients in the USA between 1999 and 2019, considering temporal trends by age, sex, and cancer site. METHODS AND RESULTS: We used the Multiple Cause of Death database, accessed through the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research resource. We included 629 308 decedents with cardiovascular disease (CVD) recorded as the primary cause of death and active malignancy listed as a contributing cause of death. We created disease-specific CVD categories and grouped cancers by site. We calculated the proportion of CVD deaths attributed to each disease category stratified by sex, age, and cancer site. We also examined disease-specific temporal trends by cancer site. Ischaemic heart disease (IHD) was the most common cardiovascular cause of death across all cancer types (55.6%), being more common in men (59.8%), older ages, and in those with lung (67.8%) and prostate (58.3%) cancers. Cerebrovascular disease (12.9%) and hypertensive diseases (7.6%) were other common causes of death. The proportion of deaths due to heart failure was greatest in haematological (7.7%) and breast (6.3%) cancers. There was a decreasing temporal trend in the proportion of cardiovascular deaths attributed to IHD across all cancer types. The proportion of deaths due to hypertensive diseases showed the greatest percentage increase, with the largest change in breast cancer patients (+191.1%). CONCLUSION: We demonstrate differential cardiovascular mortality risk by cancer site and demographics, providing insight into the evolving healthcare needs of this growing high-cardiovascular risk population.

Excess years of life lost to COVID-19 and other causes of death by sex, neighbourhood deprivation, and region in England and Wales during 2020: A registry-based study.

BACKGROUND: Deaths in the first year of the Coronavirus Disease 2019 (COVID-19) pandemic in England and Wales were unevenly distributed socioeconomically and geographically. However, the full scale of inequalities may have been underestimated to date, as most measures of excess mortality do not adequately account for varying age profiles of deaths between social groups. We measured years of life lost (YLL) attributable to the pandemic, directly or indirectly, comparing mortality across geographic and socioeconomic groups. METHODS AND FINDINGS: We used national mortality registers in England and Wales, from 27 December 2014 until 25 December 2020, covering 3,265,937 deaths. YLLs (main outcome) were calculated using 2019 single year sex-specific life tables for England and Wales. Interrupted time-series analyses, with panel time-series models, were used to estimate expected YLL by sex, geographical region, and deprivation quintile between 7 March 2020 and 25 December 2020 by cause: direct deaths (COVID-19 and other respiratory diseases), cardiovascular disease and diabetes, cancer, and other indirect deaths (all other causes). Excess YLL during the pandemic period were calculated by subtracting observed from expected values. Additional analyses focused on excess deaths for region and deprivation strata, by age-group. Between 7 March 2020 and 25 December 2020, there were an estimated 763,550 (95% CI: 696,826 to 830,273) excess YLL in England and Wales, equivalent to a 15% (95% CI: 14 to 16) increase in YLL compared to the equivalent time period in 2019. There was a strong deprivation gradient in all-cause excess YLL, with rates per 100,000 population ranging from 916 (95% CI: 820 to 1,012) for the least deprived quintile to 1,645 (95% CI: 1,472 to 1,819) for the most deprived. The differences in excess YLL between deprivation quintiles were greatest in younger age groups; for all-cause deaths, a mean of 9.1 years per death (95% CI: 8.2 to 10.0) were lost in the least deprived quintile, compared to 10.8 (95% CI: 10.0 to 11.6) in the most deprived; for COVID-19 and other respiratory deaths, a mean of 8.9 years per death (95% CI: 8.7 to 9.1) were lost in the least deprived quintile, compared to 11.2 (95% CI: 11.0 to 11.5) in the most deprived. For all-cause mortality, estimated deaths in the most deprived compared to the most affluent areas were much higher in younger age groups, but similar for those aged 85 or over. There was marked variability in both all-cause and direct excess YLL by region, with the highest rates in the North West. Limitations include the quasi-experimental nature of the research design and the requirement for accurate and timely recording. CONCLUSIONS: In this study, we observed strong socioeconomic and geographical health inequalities in YLL, during the first calendar year of the COVID-19 pandemic. These were in line with long-standing existing inequalities in England and Wales, with the most deprived areas reporting the largest numbers in potential YLL.

Ethnic disparities in care and outcomes of non-ST-segment elevation myocardial infarction: a nationwide cohort study.

AIMS: Little is known about ethnic disparities in care and clinical outcomes of patients admitted with non-ST-segment elevation myocardial infarction (NSTEMI) in national cohorts from universal healthcare systems derived from Europe. METHODS AND RESULTS: We identified 280 588 admissions with NSTEMI in the UK Myocardial Infarction National Audit Project (MINAP), 2010-2017, including White patients (n = 258 364) and Black, Asian, and Minority Ethnic (BAME) patients (n = 22 194). BAME patients were younger (66 years vs. 73 years, P < 0.001) and more frequently had hypertension (66% vs. 54%, P < 0.001), hypercholesterolaemia (49% vs. 34%, P < 0.001), and diabetes (48% vs. 24%, P < 0.001). BAME patients more frequently received invasive coronary angiography (80% vs. 68%, P < 0.001), percutaneous coronary intervention (PCI) (52% vs. 43%, P < 0.001), and coronary artery bypass graft surgery (9% vs. 7%, P < 0.001). Following propensity score matching, BAME compared with White patients had similar in-hospital all-cause mortality [odds ratio (OR) 0.91, confidence interval (CI) 0.76-1.06; P = 0.23], major bleeding (OR 0.99, CI 0.75-1.25; P = 0.95), re-infarction (OR 1.15, CI 0.84-1.46; P = 0.34), and major adverse cardiovascular events (MACE) (OR 0.94, CI 0.80-1.07; P = 0.35). CONCLUSION: BAME patients with NSTEMI had higher cardiometabolic risk profiles and were more likely to undergo invasive angiography and revascularization, with similar clinical outcomes as those of their White counterparts. Among the quality indicators assessed, there is no evidence of care disparities among BAME patients presenting with NSTEMI.

Predictors, Treatments, and Outcomes of Do-Not-Resuscitate Status in Acute Myocardial Infarction Patients (from a Nationwide Inpatient Cohort Study).

Little is known about how frequently do-not-resuscitate (DNR) orders are placed in patients with acute myocardial infarction (AMI), the types of patients in which they are placed, treatment strategies or clinical outcomes of such patients. Using the United States (US) National Inpatient Sample (NIS) database from 2015 to 2018, we identified 2,767,549 admissions that were admitted to US hospitals and during the hospitalization received a principle diagnosis of AMI, of which 339,270 (12.3%) patients had a DNR order (instigated both preadmission and during in-hospital stay). Patients with a DNR status were older (median age 83 vs 65, p < 0.001), more likely to be female (53.4% vs 39.3%, p < 0.001) and White (81.0% vs 73.3%, p < 0.001). Predictors of DNR status included comorbidities such as heart failure (OR: 1.47, 95% CI: 1.45 to 1.48), dementia (OR: 2.53, 95% CI: 2.50 to 2.55), and cancer. Patients with a DNR order were less likely to undergo invasive management or be discharged home (13.5% vs 52.8%), with only 1/3 receiving palliative consultation. In hospital mortality (32.7% vs 4.6%, p < 0.001) and MACCE (37.1% vs 8.8%, p < 0.001) were higher in the DNR group. Factors independently associated with in-hospital mortality among patients with a DNR order included a STEMI presentation (OR: 2.90, 95% CI: 2.84 to 2.96) and being of Black (OR: 1.29, 95% CI: 1.26 to 1.33), Hispanic (OR: 1.36, 95% CI: 1.32 to 1.41) or Asian/Pacific Islander (OR: 1.56, 95% CI:1.49-race. In conclusion, AMI patients with a DNR status were older, multimorbid, less likely to receive invasive management, with only one third of patients with DNR status referred for palliative care.

Trends in cardiovascular mortality of cancer patients in the US over two decades 1999-2019.

BACKGROUND: Cancer is the second most common cause of death globally after cardiovascular disease, and cancer patients are at an increased risk of CV death. This recognition has led to publication of cardio-oncological guidelines and to the widespread adoption of dedicated cardio-oncology services in many institutes. However, it is unclear whether there has been a change in the incidence of CV death in cancer patients. METHODS AND RESULTS: Using Centers for Disease Control and Prevention Wide-Ranging, Online Data for Epidemiologic Research (CDC WONDER) Multiple Cause of Death dataset, we determined national trends in age-standardised mortality rates attributed to cardiovascular diseases in patients with and without cancer, from 1999 to 2019, stratified by cancer type, age, gender, race, and place of residence (state and urbanisation status). Among more than 17.8 million cardiovascular deaths in the United States, 13.6% were patients with a concomitant cancer diagnosis. During the study period, among patients with cancer, the age-adjusted mortality rate dropped by 52% (vs 38% in patients with no cancer). In cancer patients, age-adjusted mortality rate dropped more significantly among patients with gastrointestinal, breast, and prostate malignancy than among patients with haematological malignancy (59%-63% vs. 41%). Similar reduction was observed in both genders (53%-54%), but more prominent reduction was observed in older patients and in those living in metro areas. CONCLUSIONS: Our findings emphasise the role of multidisciplinary management of cancer patients. Widespread adoption of cardio oncology services have the potential to impact the inherent risk of increased CV mortality in both cancer patients and survivors.

Treatment Effect of Percutaneous Coronary Intervention in Men Versus Women With ST-Segment-Elevation Myocardial Infarction.

Background Women are less likely to receive primary percutaneous coronary intervention (pPCI) than men. A potential reason is risk aversion because of the worse outcomes with pPCI among women. However, whether pPCI is associated with a comparable mortality benefit in men and women remains unknown. Methods and Results We selected patients admitted with a principal diagnosis of ST-segment-elevation myocardial infarction in the National Inpatient Sample (2016-2018). We used propensity-score matching to calculate average treatment effects of pPCI for in-hospital mortality, major complications, length of stay, and cost. As a sensitivity analysis, we used logit models followed by a marginal command to calculate the average marginal effect. We included 413 500 weighted hospitalizations (30.7% women, 69.3% men). Women had more comorbidities except smoking and prior sternotomy. Compared with men, women were less likely to undergo angiography (81.0% versus 87.0%; adjusted odds ratio [OR], 0.77; 95% CI, 0.74-0.81; P<0.001) or pPCI (74.0% versus 82.0%; adjusted OR, 0.76; 95% CI, 0.73-0.79; P<0.001). There were no significant differences in average treatment effects of pPCI on mortality between men (-8.4% [-9.3% to -7.6%], P<0.001), and women (-9.5% [-10.8% to -8.3%], P<0.001) (P interaction=0.16). This persisted in age-stratified analyses (≥85, 65-84, 45-64, <45 years) and sensitivity analysis, excluding emergent admissions. The average treatment effects of pPCI on major complications were comparable except for acute stroke, leaving against medical advice, and palliative encounter. There were no differences in the average treatment effects of pPCI on length of stay, but the proportional increase in cost with pPCI was higher in women. Conclusions pPCI results in a comparable reduction in in-hospital mortality in men and women. Nonetheless, risk-adjusted rates of pPCI remain lower in women in contemporary US practice.

Excess deaths from COVID-19 and other causes by region, neighbourhood deprivation level and place of death during the first 30 weeks of the pandemic in England and Wales: A retrospective registry study.

BACKGROUND: Excess deaths during the COVID-19 pandemic compared with those expected from historical trends have been unequally distributed, both geographically and socioeconomically. Not all excess deaths have been directly related to COVID-19 infection. We investigated geographical and socioeconomic patterns in excess deaths for major groups of underlying causes during the pandemic. METHODS: Weekly mortality data from 27/12/2014 to 2/10/2020 for England and Wales were obtained from the Office of National Statistics. Negative binomial regressions were used to model death counts based on pre-pandemic trends for deaths caused directly by COVID-19 (and other respiratory causes) and those caused indirectly by it (cardiovascular disease or diabetes, cancers, and all other indirect causes) over the first 30 weeks of the pandemic (7/3/2020-2/10/2020). FINDINGS: There were 62,321 (95% CI: 58,849 to 65,793) excess deaths in England and Wales in the first 30 weeks of the pandemic. Of these, 46,221 (95% CI: 45,439 to 47,003) were attributable to respiratory causes, including COVID-19, and 16,100 (95% CI: 13,410 to 18,790) to other causes. Rates of all-cause excess mortality ranged from 78 per 100,000 in the South West of England and in Wales to 130 per 100,000 in the West Midlands; and from 93 per 100,000 in the most affluent fifth of areas to 124 per 100,000 in the most deprived. The most deprived areas had the highest rates of death attributable to COVID-19 and other indirect deaths, but there was no socioeconomic gradient for excess deaths from cardiovascular disease/diabetes and cancer. INTERPRETATION: During the first 30 weeks of the COVID-19 pandemic there was significant geographic and socioeconomic variation in excess deaths for respiratory causes, but not for cardiovascular disease, diabetes and cancer. Pandemic recovery plans, including vaccination programmes, should take account of individual characteristics including health, socioeconomic status and place of residence. FUNDING: None.

Impact of cancer diagnosis on causes and outcomes of 5.9 million US patients with cardiovascular admissions.

INTRODUCTION: There are limited data on causes of cardiovascular (CV) admissions and associated outcomes among patients with different cancers. METHODS: All CV admissions from the US National Inpatient Sample between October 2015 to December 2017 were stratified by cancer type as well as metastatic status. Multivariable logistic regression was performed to determine the adjusted odds ratios (aOR) of in-hospital mortality in different groups. RESULTS: From 5,936,014 eligible CV admissions, cancer was present in 265,221 (4.5%) hospitalizations. There was significant variation in the admission diagnoses among the different cancers, with hematological malignancies being principally associated with heart failure (HF), lung cancer with atrial fibrillation (AF), and colorectal and prostate cancer with acute myocardial infarction (AMI). Admission with haemorrhagic stroke has the highest associated mortality across cancers (20.0-38.4%). In-hospital mortality was higher in cancer than non-cancer patients across most CV admissions (P < 0.001) with AF having the worst prognosis. Compared to group without any cancer, the greatest aOR of mortality was associated with lung cancer in AMI (aOR 2.32, 95% CI 2.18-2.47), ischemic stroke (aOR 2.21, 95%CI 2.08-2.34), AF (aOR 4.69, 95%CI 4.32-5.10) and HF (aOR 2.07, 95%CI 1.89-2.27). CONCLUSIONS: The most common causes of CV admission to hospital vary in patients with different types of cancer, with AMI being most common in patients with colon cancer, HF in patients with hematological malignancies and AF in patients with lung cancer. Patients with cancer, particularly lung cancer, have greater mortality than non-cancer patients after admissions with a CV cause.