Search

ImportanceGuideline-directed medical therapy (GDMT) remains underutilized on a global level, with significant disparities in access to treatment worldwide. The potential global benefits of quadruple therapy on patients with heart failure with reduced ejection fraction (HFrEF) have not yet been estimated.ObjectiveTo assess the projected population-level benefit of optimal GDMT use globally among patients with HFrEF.Design, setting, and participantsEstimates for HFrEF prevalence, contraindications to GDMT, treatment rates, and the number needed to treat for all-cause mortality at 12 months were derived from previously published sources. Potential lives saved from optimal implementation of quadruple therapy among patients with HFrEF was calculated globally and a sensitivity analysis was conducted to account for uncertainty in the existing data.Main outcomes and measuresAll-cause mortality.ResultsOf an estimated 28.89 million people with HFrEF worldwide, there were 8 235 063 (95% CI, 6 296 020-10 762 972) potentially eligible for but not receiving β-blockers, 20 387 000 (95% CI, 15 867 004-26 184 996) eligible for but not receiving angiotensin receptor-neprilysin inhibitors, 12 223 700 (95% CI, 9 376 895-15 924 973) eligible for but not receiving mineralocorticoid receptor antagonists, and 21 229 170 (95% CI, 16 537 400-27 242 688) eligible for but not receiving sodium glucose cotransporter-2 inhibitors. Optimal implementation of quadruple GDMT could potentially prevent 1 188 277 (95% CI, 767 933-1 914 561) deaths over 12 months. A large proportion of deaths averted were projected in Southeast Asia, Eastern Mediterranean and Africa, and the Western Pacific regions.Conclusions and relevanceImprovement in use of GDMT could result in substantial mortality benefits on a global scale. Significant heterogeneity also exists across regions, which warrants additional study with interventions tailored to country-level differences for optimization of GDMT worldwide.

The current economic burden of cardiovascular (CV)-related hospitalizations grouped by diagnoses and procedures in the United States has not been well characterized. The objective was to identify current trends in CV-related hospitalizations, procedural utilization, and health care costs using the most recent 6 years of hospitalization data. A retrospective analysis of discharge data from the National Inpatient Sample database was conducted to determine trends in CV-related hospitalizations, costs, and procedures for each year from 2016 to the most recent available dataset, 2021. Total CV-related costs were adjusted to and reported in 2023 dollars. In 2021, there were 4,687,370 CV-related hospitalizations at a cost of $108 billion. Heart failure hospitalizations accounted for the highest costs at $18.5 billion, followed by non-ST-elevation myocardial infarction at $11.2 billion and stroke at $10.9 billion. Significant upward trends in costs from 2016 to 2021 were observed for heart failure, stroke, atrial fibrillation, ST-elevation myocardial infarction, chest pain, hypertensive emergency, ventricular tachycardia, aortic dissection, sudden cardiac death, pericarditis, supraventricular tachycardia, and pulmonary heart disease. Over the 6 observational years, total costs increased by over $10 billion, representing a 10% increase. However, the increases were not linear, as there was a significant increase of 6.5% from 2018 to 2019, then a decrease of over 7% from 2019 to 2020, followed by an increase of approximately 6% from 2020 to 2021. By 2030, total CV-related costs are projected to reach $131.3 billion. For all years, coronary procedures were the most performed, followed by extracorporeal membrane oxygenation, non-bypass peripheral vascular surgery, pacemaker placement, and coronary artery bypass graft surgery. Both transcatheter aortic valve replacement and MitraClip procedures demonstrated significant upward trends from 2016 to 2021. Overall, from the years 2016 to 2021, CV-related hospitalizations, costs, and procedures demonstrated upward trends. In conclusion, CV disease remains a high burden in the hospital setting with tremendous health care costs.

BackgroundSince January 2020, COVID-19 has affected more than 100 million people in the U.S. Previous studies on racial and ethnic disparities related to characteristics and outcomes of COVID-19 patients have been insightful. However, appropriate epidemiologic age-standardization of the disease burden and disparities for hospitalization data are lacking.ObjectiveTo identify and describe racial and ethnic disparities for primary COVID-19 hospitalizations in the U.S. in 2020.MethodsIn this nationally representative observational study, we use the National Inpatient Sample to quantify racial and ethnic disparities in COVID-19 hospitalizations. Descriptive statistics for patient characteristics, common comorbidities, age-standardized hospitalization rates, inpatient complications, and mortality among COVID-19 hospitalizations were contrasted by race and ethnicity.ResultsThere were 1,058,815 primary COVID-19 hospitalizations in 2020. Of those, 47.2% were female, with median age of 66 (IQR, 54, 77). Overall inpatient mortality rate was 11.1%. When compared to White patients, Black, Hispanic, and Native American patients had higher age-standardized hospitalization rate ratios of 2.42 (95% CI 2.40-2.43), 2.26 (2.25-2.28), and 2.51 (2.46-2.56), respectively. Non-White patients had increased age-adjusted rates for procedures and complications. Factors associated with inpatient mortality include age, male sex, Hispanic or Native American race or ethnicity, lower income, Medicaid, heart failure, arrhythmias, coagulopathy, and chronic liver disease.ConclusionsMarginalized populations in the U.S. had over twice the COVID-19 hospitalization rate relative to White patients. Age-adjusted mortality rates were highest for Black, Hispanic, and Native American patients. Careful consideration for vulnerable populations is encouraged during highly communicable respiratory pandemics.

BackgroundHow housing insecurity might affect patients with heart failure (HF) is not well characterized. Housing insecurity increases risks related to both communicable and non-communicable diseases. For patients with HF, housing insecurity likely increases the risk for worse outcomes and rehospitalizations.Methods and resultsWe analyzed U.S. HF hospitalizations using the 2020 National Inpatient Sample (NIS) and Nationwide Readmissions Database (NRD) to evaluate the impacts of housing insecurity on HF outcomes and hospital utilization. Individuals were identified as having housing insecurity using diagnostic ICD-10 codes. Demographics and comorbidities were compared between HF patients with and without housing insecurity. An adjusted logistic regression was performed to evaluate the relationships between housing insecurity and socioeconomic status on in-hospital mortality. Using a Cox proportional hazards model, HF patients with and without housing insecurity were evaluated for the risk of all-cause and HF-specific readmissions over time. Of the 1,003,270 hospitalizations for HF in the U.S. in 2020, 16,150 were identified as having housing insecurity (1.6%) and 987,120 were identified as having no housing insecurity (98.4%). The median age of patients with housing insecurity hospitalized for HF was 57, as compared to 73 in the population with no housing insecurity. A higher proportion of patients in the housing insecurity group were Black (35% vs 20.1%) or Hispanic (11.1% vs 7.3%). Patients with housing insecurity were more likely to carry a diagnosis of alcohol use disorder (15.2% vs 3.3%) or substance use disorder (70.2% vs 17.8%), but were less likely to use tobacco (18.3% vs 28.7%). Patients with housing insecurity were over 4.5 times more likely to have Medicaid (52.4% vs 11.3%). Median length of stay did not differ between patients with housing insecurity versus those without. Patients with housing insecurity were more likely to discharge Against Medical Advice (11.4% vs 2.03%). After adjusting for patient characteristics, housing insecurity was associated with lower in-hospital mortality (OR 0.60, 95% CI 0.39 - 0.92). Housing insecurity was associated with a higher risk of all-cause readmissions at 180 days (HR 1.13, 95% CI 1.12 - 1.14). However, there was no significant difference in the risk of HF-specific readmissions at 180 days (HR 1.07, 95% CI 0.998 - 1.14) CONCLUSIONS: Patients with HF and housing insecurity have distinct demographic characteristics. They are also more likely to be readmitted after their initial hospitalization when compared to those without housing insecurity. Identifying and addressing specific comorbid conditions for patients with housing insecurity who are hospitalized for HF may allow clinicians to provide more focused care, with the goal of preventing morbidity, mortality, and unnecessary readmissions.

Heart failure (HF) is a common disease with increasing prevalence around the world. There is high morbidity and mortality associated with poorly controlled HF along with increasing costs and strain on healthcare systems due to a high rate of rehospitalization and resource utilization. Despite the establishment of clear evidence-based guideline directed medical therapies (GDMT) proven to improve HF morbidity and mortality, there remains significant clinical inertia to optimizing HF patients on GDMT. Only a minority of HF patients are prescribed on all four classes of GDMT. To bridge the gap between the vulnerable population of HF patients and lifesaving GDMT, HF implementation is of increasing importance. HF implementation involves strategies and techniques to improve GDMT optimization along with other modalities to improve HF management. HF implementation meets patients where they are, including at the time of acute decompensation in the inpatient setting, at the vulnerable discharge stage, and at the chronic management stage in the outpatient setting. Inpatient HF implementation strategies include protocolized rapid titration of GDMT, site-level audit-and-feedback, virtual GDMT optimization teams, and electronic health record notifications and alerts. Discharge HF implementation strategies include education at patient and provider levels, discharge summaries, and HF transitional programs. Outpatient HF implementation strategies include digital innovations such as electronic health record utilization and mobile applications, population level strategies such as registries and clinical dashboards), changes in HF team structure and member roles, remote monitoring with implanted devices and telemonitoring, and hospital at home care model. With a growing population of HF patients, there is an increasing need for novel and creative HF implementation and monitoring methods.

Background: The STRONG-HF trial demonstrated substantial reductions in the composite of mortality and morbidity over 6 months among hospitalized heart failure patients who were randomized to intensive guideline-directed medical therapy (GDMT) optimization compared to usual care. Whether an intensive GDMT optimization program would be cost-effective for patients with heart failure with reduced ejection fraction (HFrEF) is unknown. Methods: Using a 2-state Markov model we evaluated the effect of an intensive GDMT optimization program on hospitalized patients with HFrEF. Two population models were created to simulate this intervention, a "Clinical Trial" model, based off the participants in the STRONG-HF trial and a "Real-World" model, based off the Get With The Guidelines-HF Registry of patients admitted with worsening HF. We then modeled the effect of a 6-month intensive triple therapy GDMT optimization program comprised of cardiologists, clinical pharmacists, and registered nurses. Hazard ratios from the intervention arm of the STRONG-HF trial were applied to both populations models to simulate clinical and financial outcomes of an intensive GDMT optimization program from a United States healthcare sector perspective with a lifetime time horizon. Optimal quadruple GDMT use was also modeled. Results: An intensive GDMT optimization program was extremely cost-effective with incremental cost-effectiveness ratios

To evaluate the impact of age and COVID-19 variant time period on morbidity and mortality among those hospitalized with COVID-19.Patients from the American Heart Association's Get With The Guidelines COVID-19 cardiovascular disease registry (January 20, 2020-February 14, 2022) were divided into groups based on whether they presented during periods of wild type/alpha, delta, or omicron predominance. They were further subdivided by age (young: 18-40 years; older: more than 40 years), and characteristics and outcomes were compared.The cohort consisted of 45,421 hospitalized COVID-19 patients (wild type/alpha period: 41,426, delta period: 3349, and omicron period: 646). Among young patients (18-40 years), presentation during delta was associated with increased odds of severe COVID-19 (OR, 1.6; 95% CI, 1.3-2.1), major adverse cardiovascular events (MACE) (OR, 1.8; 95% CI, 1.3-2.5), and in-hospital mortality (OR, 2.2; 95% CI, 1.5-3.3) when compared with presentation during wild type/alpha. Among older patients (more than 40 years), presentation during delta was associated with increased odds of severe COVID-19 (OR, 1.2; 95% CI, 1.1-1.3), MACE (OR, 1.5; 95% CI, 1.4-1.7), and in-hospital mortality (OR, 1.4; 95% CI, 1.3-1.6) when compared with wild type/alpha. Among older patients (more than 40 years), presentation during omicron associated with decreased odds of severe COVID-19 (OR, 0.7; 95% CI, 0.5-0.9) and in-hospital mortality (OR, 0.6; 95% CI, 0.5-0.9) when compared with wild type/alpha.Among hospitalized adults with COVID-19, presentation during a time of delta predominance was associated with increased odds of severe COVID-19, MACE, and in-hospital mortality compared with presentation during wild type/alpha. Among older patients (aged more than 40 years), presentation during omicron was associated with decreased odds of severe COVID-19 and in-hospital mortality compared with wild type/alpha.

BackgroundThe burden of heart failure is growing. Guideline-directed medical therapies (GDMT) reduce adverse outcomes in heart failure with reduced ejection fraction (HFrEF). Whether there is geographic variation in HFrEF quality of care is not well described.ObjectivesThis study evaluated variation nationally for prescription of GDMT within the Veterans Health Administration.MethodsA cohort of Veterans with HFrEF had their address linked to hospital referral regions (HRRs). GDMT prescription was defined using pharmacy data between July 1, 2020, and July 1, 2021. Within HRRs, we calculated the percentage of Veterans prescribed GDMT and a composite GDMT z-score. National choropleth maps were created to evaluate prescription variation. Associations between GDMT performance and demographic characteristics were evaluated using linear regression.ResultsMaps demonstrated significant variation in the HRR composite score and GDMT prescriptions. Within HRRs, the prescription of beta-blockers to Veterans was highest with a median of 80% (IQR: 77.3%-82.2%) followed by angiotensin-converting enzyme inhibitor/angiotensin receptor blocker/angiotensin receptor-neprilysin inhibitors (69.3%; IQR: 66.4%-72.1%), sodium-glucose cotransporter 2 inhibitors (10.3%; IQR: 7.7%-12.8%), mineralocorticoid receptor antagonists (29.2%; IQR: 25.8%-33.9%), and angiotensin receptor-neprilysin inhibitors (12.2%; IQR: 8.6%-15.3%). HRR composite GDMT z-scores were inversely associated with the HRR median Gini coefficient (R = -0.13; P = 0.0218) and the percentage of low-income residents (R = -0.117; P = 0.0413).ConclusionsWide geographic differences exist for HFrEF care. Targeted strategies may be required to increase GDMT prescription for Veterans in lower-performing regions, including those affected by income inequality and poverty.

BackgroundHeart failure is a prevailing diagnosis of hospitalization and readmission within 6 months, and nearly a quarter of these patients die within a year. Guideline-directed medication therapies reduce risk of mortality by 73% over 2 years; however, the implementation of these therapies to their target dose in clinical practice continues to be challenging. In 2020, the Veterans Affairs (VA) Health Care System developed a HF dashboard to monitor and improve outpatient HF management. The DASH-HF (Dashboard Activated Services and Telehealth for Heart Failure) study is a randomized, pragmatic clinical trial to evaluate proactive dashboard-directed telehealth clinics to improve the use and dosing of guideline-directed medication therapy for patients with heart failure with reduced ejection fraction not on optimal guideline-directed medication therapy within the VA.MethodsThree hundred veterans with heart failure with reduced ejection fraction met inclusion criteria with an optimization potential score (OPS) of 5 or less out of 10, representing nonoptimal guideline-directed medication therapy. The primary outcome was a composite score of guideline-directed medical therapy, the OPS, 6 months after the end of the intervention. Secondary outcomes included active prescriptions for each individual guideline-directed medical therapy class, HF-related hospitalizations, deaths, and clinician time per patient during the intervention clinics.ResultsThere was no significant difference between the intervention arm and usual care group in the primary outcome (OPS, 2.9; SD=2.1 versus OPS, 2.6, SD=2.1); adjusted mean difference 0.3 (95% CI, -0.1 to 0.7) or in the prespecified secondary outcomes for hospitalization and all-cause mortality for the intervention of proactive dashboard-based clinics.ConclusionsA dashboard-based clinic intervention did not improve the OPS or secondary outcomes of hospitalization and all-cause mortality. There remains a larger opportunity to better target patients and provide more intensive follow-up to further evaluate the utility of proactive dashboard-based clinics for HF management and quality improvement.RegistrationURL: https://www.Clinicaltrialsgov; Unique identifier: NCT05001165.

Heart failure remains a huge societal concern despite medical advancement, with an annual direct cost of over $30 billion. While guideline-directed medical therapy (GDMT) is proven to reduce morbidity and mortality, many eligible patients with heart failure with reduced ejection fraction (HFrEF) are not receiving one or more of the recommended medications, often due to suboptimal initiation and titration in the outpatient setting. Hospitalization serves as a key point to initiate and titrate GDMT. Four evidence-based therapies have clinical benefit within 30 days of initiation and form a crucial foundation for HFrEF therapy: renin-angiotensin-aldosterone system inhibitors with or without a neprilysin inhibitor, β-blockers, mineralocorticoid-receptor-antagonists, and sodium-glucose cotransporter-2 inhibitors. The authors present a practical guide for the implementation of these four pillars of GDMT during a hospitalization for acute heart failure.

BackgroundThere is a paucity of epidemiological data on the association between long-term variability of blood pressure (BP) and incident atrial fibrillation (AF).ObjectivesThe purpose of this study was to evaluate the association of BP variability with incident AF in a large sample of adults with type 2 diabetes.MethodsWe included participants who had ≥5 BP measurements in the first 24 months of action to control cardiovascular risk in diabetes. The visit-to-visit variability of systolic blood pressure (SBP) and diastolic blood pressure (DBP) was estimated using the coefficient of variation, SD, and variability independent of the mean. Incident AF was recorded using follow-up electrocardiograms. Modified Poisson regression was used to generate risk ratios (RRs) and 95% CI for AF.ResultsA total of 8,399 participants were included (average age 62.6 ± 6.5 years, 38.8% women, 63.2% White). Over a median follow-up of 5 years, 155 developed AF. Compared to the lowest quartile, the highest quartile of BP variability was associated with an increased risk of AF (RR: 1.85 [95% CI: 1.13-3.03] and 1.63 [95% CI: 1.01-2.65] for coefficient of variation of SBP and DBP, respectively). Participants in the highest quartile of both SBP and DBP had a 2-fold higher risk of AF compared to those in the lowest 3 quartiles of both SBP and DBP (RR: 1.94; 95% CI: 1.29-2.93).ConclusionsIn a large cohort of adults with type 2 diabetes, higher variability in SBP and DBP was independently associated with an increased risk of AF.

Background Many patients with heart failure (HF) have severely reduced ejection fraction but do not meet threshold for consideration of advanced therapies (ie, stage D HF). The clinical profile and health care costs associated with these patients in US practice is not well described. Methods and Results We examined patients hospitalized for worsening chronic heart failure with reduced ejection fraction ≤40% from 2014 to 2019 in the GWTG-HF (Get With The Guidelines-Heart Failure) registry, who did not receive advanced HF therapies or have end-stage kidney disease. Patients with severely reduced EF defined as EF ≤30% were compared with those with EF 31% to 40% in terms of clinical profile and guideline-directed medical therapy. Among Medicare beneficiaries, postdischarge outcomes and health care expenditure were compared. Among 113 348 patients with EF ≤40%, 69% (78 589) had an EF ≤30%. Patients with severely reduced EF ≤30% tended to be younger and were more likely to be Black. Patients with EF ≤30% also tended to have fewer comorbidities and were more likely to be prescribed guideline-directed medical therapy ("triple therapy" 28.3% versus 18.2%, P

BackgroundHeart failure with reduced ejection fraction (HFrEF) is one of the most costly and deadly chronic disease states. The cost effectiveness of a comprehensive quadruple therapy regimen for HFrEF has not been studied.ObjectivesThe authors sought to determine the cost-effectiveness of quadruple therapy comprised of beta-blockers, mineralocorticoid receptor antagonists, angiotensin receptor-neprilysin inhibitors, and sodium glucose cotransporter-2 inhibitors vs regimens composed of only beta-blockers, angiotensin-converting enzyme inhibitors, and mineralocorticoid receptor antagonists (triple therapy), and angiotensin-converting enzyme inhibitors and beta-blockers (double therapy).MethodsUsing a 2-state Markov model, the authors performed a cost-effectiveness study using simulated populations of 1,000 patients with HFrEF based on the participants in the PARADIGM-HF (Prospective comparison of ARNI with ACEI to Determine Impact on Global Mortality and morbidity in Heart Failure) trial and compared them by treatment strategy (quadruple therapy vs triple and double therapy) from a United States health care system perspective. The authors also performed 10,000 probabilistic simulations.ResultsTreatment with quadruple therapy resulted in an increase of 1.73 and 2.87 life-years compared with triple therapy and double therapy, respectively, and an increase in quality-adjusted life-years of 1.12 and 1.85 years, respectively. The incremental cost-effectiveness ratios of quadruple therapy vs triple therapy and double therapy were $81,000 and $51,081, respectively. In 91.7% and 99.9% of probabilistic simulations quadruple therapy had an incremental cost-effectiveness ratio of

BackgroundStroke is the leading cause of mortality in China, with limited evidence of in-hospital burden obtained from nationwide surveys. We aimed to monitor and track the temporal trends and rural-urban disparities in cerebrovascular risk factors, management and outcomes from 2005 to 2015.MethodsWe used a two-stage random sampling survey to create a nationally representative sample of patients admitted for ischaemic stroke in 2005, 2010 and 2015. We sampled participating hospitals with an economic-geographical region-stratified random-sampling approach first and then obtained patients with a systematic sampling approach. We weighed our survey data to estimate the national-level results and assess changes from 2005 to 2015.ResultsWe analysed 28 277 ischaemic stroke admissions from 189 participating hospitals. From 2005 to 2015, the estimated national hospital admission rate for ischaemic stroke per 100 000 people increased (from 75.9 to 402.7, Ptrend

Stress cardiomyopathy was noted to occur at a higher incidence during coronavirus disease of 2019 (COVID-19) pandemic. This database analysis has been done to compare the in-hospital outcomes in patients with stress cardiomyopathy and concurrent COVID-19 infection with those without COVID-19 infection. The National Inpatient Sample database for the year 2020 was queried to identify all admissions diagnosed with stress cardiomyopathy. These patients were then stratified based on whether they had concomitant COVID-19 infection or not. A 1:1 propensity score matching was performed. Multivariate logistic regression analysis was done to identify predictors of mortality. We identified 41,290 hospitalizations for stress cardiomyopathy, including 1665 patients with concurrent diagnosis of COVID-19. The female preponderance was significantly lower in patients with stress cardiomyopathy and COVID-19. Patients with concomitant COVID-19 were more likely to be African American, diabetic and have chronic kidney disease. After propensity matching, the incidence of complications, including acute kidney injury (AKI), AKI requiring dialysis, coagulopathy, sepsis, cardiogenic shock, cases with prolonged intubation of >24 h, requirement of vasopressor and inpatient mortality, were noted to be significantly higher in patients with COVID-19. Concomitant COVID-19 infection was independently associated with worse outcomes and increased mortality in patients hospitalized with stress cardiomyopathy.

ObjectiveTo compare clinical characteristics, treatment patterns, and 30-day all-cause readmission and mortality between patients hospitalized for heart failure (HF) before and during the coronavirus disease 2019 (COVID-19) pandemic.Patients and methodsThe study was conducted at 16 hospitals across 3 geographically dispersed US states. The study included 6769 adults (mean age, 74 years; 56% [5033 of 8989] men) with cumulative 8989 HF hospitalizations: 2341 hospitalizations during the COVID-19 pandemic (March 1 through October 30, 2020) and 6648 in the pre-COVID-19 (October 1, 2018, through February 28, 2020) comparator group. We used Poisson regression, Kaplan-Meier estimates, multivariable logistic, and Cox regression analysis to determine whether prespecified study outcomes varied by time frames.ResultsThe adjusted 30-day readmission rate decreased from 13.1% (872 of 6648) in the pre-COVID-19 period to 10.0% (234 of 2341) in the COVID-19 pandemic period (relative risk reduction, 23%; hazard ratio, 0.77; 95% CI, 0.66 to 0.89). Conversely, all-cause mortality increased from 9.7% (645 of 6648) in the pre-COVID-19 period to 11.3% (264 of 2341) in the COVID-19 pandemic period (relative risk increase, 16%; number of admissions needed for one additional death, 62.5; hazard ratio, 1.19; 95% CI, 1.02 to 1.39). Despite significant differences in rates of index hospitalization, readmission, and mortality across the study time frames, the disease severity, HF subtypes, and treatment patterns remained unchanged (P>0.05).ConclusionThe findings of this large tristate multicenter cohort study of HF hospitalizations suggest lower rates of index hospitalizations and 30-day readmissions but higher incidence of 30-day mortality with broadly similar use of HF medication, surgical interventions, and devices during the COVID-19 pandemic compared with the pre-COVID-19 time frame.

BackgroundThe sex differences in use, safety outcomes, and health-care resource use of patients with pulmonary embolism (PE) undergoing percutaneous pulmonary artery thrombectomy are not well characterized.Research questionWhat are the sex differences in outcomes for patients diagnosed with PE who undergo percutaneous pulmonary artery thrombectomy?Study design and methodsThis retrospective cross-sectional study used national inpatient claims data to identify patients in the United States with a discharge diagnosis of PE who underwent percutaneous thrombectomy between January 2016 and December 2018. We evaluated the demographics, comorbidities, safety outcomes (in-hospital mortality), and health-care resource use (discharge to home, length of stay, and hospital charges) of patients with PE undergoing percutaneous thrombectomy.ResultsAmong 1,128,904 patients with a diagnosis of PE between 2016 and 2018, 5,160 patients (0.5%) underwent percutaneous pulmonary artery thrombectomy. When compared with male patients, female patients showed higher procedural bleeding (16.9% vs 11.2%; P < .05), required more blood transfusions (11.9% vs 5.7%; P < .05), and experienced more vascular complications (5.0% vs 1.5%; P < .05). Women experienced higher in-hospital mortality (16.9% vs 9.3%; adjusted OR, 1.9; 95% CI, 1.2-3.0; P = .003) when compared with men. Although length of stay and hospital charges were similar to those of men, women were less likely to be discharged home after surviving hospitalization (47.9% vs 60.3%; adjusted OR, 0.7; 95% CI, 0.50-0.99; P = .04).InterpretationIn this large nationwide cohort, women with PE who underwent percutaneous thrombectomy showed higher morbidity and in-hospital mortality compared with men.

AimsTo describe clinical characteristics and outcomes for those with STEMI and reduced left ventricular ejection fraction (LVEF) in low-income and middle-income countries (LMICs).Methods and resultsAdults presenting with STEMI to two government-owned tertiary care centres in Delhi, India were prospectively enrolled in the North India ST-elevation myocardial infarction (NORIN-STEMI) registry. LVEF was evaluated at presentation and clinical characteristics were compared across LVEF categories. Overall, 3597 patients were included, of whom 468 (13%) had LVEF >50%, 1482 (41%) had mildly reduced LVEF (40-49%), 1357 (38%) had moderately reduced LVEF (30-39%), and 290 (8%) had severely reduced LVEF (24 h, prior MI, and hyperlipidaemia were associated with decreasing LVEF category. Although most patients with reduced LVEF were discharged on appropriate guideline-directed therapies, adherence at 1 year was low (ACE inhibitor/ARB 91% to 41%, beta blocker 98% to 78%, aldosterone receptor antagonist 69% to 6%). After multivariable adjustment, a Cox regression model showed moderately reduced LVEF (HR 1.77, 95% CI 1.20, 2.60) and severely reduced LVEF (HR 3.63, 95% CI 2.41, 5.48) were associated with increased risk of all-cause mortality compared with LVEF ≥50%.ConclusionsOn presentation for STEMI, almost 90% of NORIN-STEMI participants had at least mildly reduced LVEF and almost half had LVEF

BackgroundThe impact of the COVID-19 pandemic on participation in and availability of cardiac rehabilitation (CR) is unknown.MethodsAmong eligible Medicare fee-for-service beneficiaries, we evaluated, by month, the number of CR sessions attended per 100 000 beneficiaries, individuals eligible to initiate CR, and centers offering in-person CR between January 2019 and December 2021. We compared these outcomes between 2 periods: December 1, 2019 through February 28, 2020 (period 1, before declaration of the pandemic-related national emergency) and October 1, 2021 through December 31, 2021 (period 2, the latest period for which data are currently available).ResultsIn period 1, Medicare beneficiaries participated in (mean±SD) 895±84 CR sessions per 100 000 beneficiaries each month. After the national emergency was declared, CR participation sharply declined to 56 CR sessions per 100 000 beneficiaries in April 2020. CR participation recovered gradually through December 2021 but remained lower than prepandemic levels (period 2: 698±29 CR sessions per month per 100 000 beneficiaries, P=0.02). Declines in CR participation were most marked among dual Medicare and Medicaid enrollees and patients residing in rural areas or socially vulnerable communities. There was no statistically significant change in CR eligibility between the 2 periods. Compared with 2618±5 CR centers in period 1, there were 2464±7 in period 2 (P

BackgroundIt remains unclear how the variability of adiposity indices relates to incident HF. This study evaluated the associations of the variability in several adiposity indices with incident heart failure (HF) in individuals with type 2 diabetes (T2DM).MethodsWe included 4073 participants from the Look AHEAD (Action for Health in Diabetes) study. We assessed variability of body mass index (BMI), waist circumference (WC), and body weight across four annual visits using three variability metrics, the variability independent of the mean (VIM), coefficient of variation (CV), and intraindividual standard deviation (SD). Multivariable Cox regression models were used to generate adjusted hazard ratios (aHR) and 95% confidence intervals (CI) for incident HF.ResultsOver a median of 6.7 years, 120 participants developed incident HF. After adjusting for relevant confounders including baseline adiposity levels, the aHR for the highest (Q4) versus lowest quartile (Q1) of VIM of BMI was 3.61 (95% CI 1.91-6.80). The corresponding aHRs for CV and SD of BMI were 2.48 (95% CI 1.36-4.53) and 2.88 (1.52-5.46), respectively. Regarding WC variability, the equivalent aHRs were 1.90 (95% CI 1.11-3.26), 1.79 (95% CI 1.07-3.01), and 1.73 (1.01-2.95) for Q4 versus Q1 of VIM, CV and SD of WC, respectively.ConclusionsIn a large sample of adults with T2DM, a greater variability of adiposity indices was associated with higher risks of incident HF, independently of traditional risk factors and baseline adiposity levels. Registration-URL: https://clinicaltrials.gov/ct2/show/NCT00000620 .

BackgroundData on the relations between kidney function abnormalities and stroke in type 2 diabetes are limited. We evaluated the associations of kidney function abnormalities and chronic kidney disease (CKD) stages with incident stroke in a large sample of adults with type 2 diabetes.MethodsParticipants with type 2 diabetes from the Action to Control Cardiovascular Risk in Diabetes (ACCORD) study without history of stroke at baseline were included. Urine albumin-to-creatinine ratio (UACR) and estimated glomerular filtration rate (eGFR) were assessed at baseline. CKD categories were defined according to the KDIGO (Kidney Disease: Improving Global Outcomes) guidelines. Cox proportional hazards regression models were used to compute hazard ratios (HR) and 95% confidence intervals (CI) for stroke in relation to measures of kidney function and CKD categories.ResultsA total of 9170 participants (mean age 62.8 [SD: 6.6] years, 38.2% women, 62.9% white) were included. Over a median follow-up of 4.9 years (interquartile range: 4.0-5.7), 156 participants developed a stroke (incidence rate 3.6/1000 person-years [95% CI 3.0-4.2]). After adjusting for relevant confounders, higher UACR and lower eGFR were each associated with increased risk of stroke. Compared to UACR

Introduction: In patients with heart failure with reduced ejection fraction (HFrEF), use of guideline directed medical therapies (GDMT) reduces mortality. Whether there is geographic variation in GDMT prescribing is not well-characterized. Hypothesis: We assessed the hypothesis that there is wide geographic variation nationally within the Veterans Affairs (VA) healthcare system for the receipt of GDMT. Methods: We linked the primary residence address of a cohort of Veterans with HFrEF receiving care at VA facilities (n=178,856) to hospital referral regions (HRRs). Using VA and non-VA pharmacy data between July 1, 2020 and July 1, 2021, we defined receipt of GDMT. For each HRR, we calculated the percentage of eligible Veterans that were prescribed each class of GDMT and a composite GDMT z-score. Lastly, we constructed national choropleth maps to depict HRR geographic variation in composite z-scores and prescription of each class of GDMT. Results: There was significant variation in individual GDMT class prescription and composite score across HRRs as shown in choropleth maps ( Figure) . Within HRRs, beta-blocker prescription was highest, with a median 80% of Veterans (interquartile range [IQR] 77.3% to 82.2%), afterload-reducing agents including angiotensin converting enzyme inhibitor / angiotensin receptor blocker / angiotensin receptor-neprilysin inhibitors (ARNI) 69.3% (IQR 66.4% to 72.1%), mineralocorticoid receptor antagonists (MRA) 29.2% (IQR 25.8% to 33.9%), sodium-glucose cotransporter 2 inhibitors (SGLT2I) 10.3% (IQR 7.7% to 12.8%), and ARNI 12.2% (IQR 8.6% to 15.3%). HRRs with the highest and lowest composite scores were often found in the same U.S. Census Regions. Conclusions: In conclusion, wide geographic disparities are present for GDMT prescribing to Veterans across HRRs. Veteran receipt of ARNI, SGLT2I, and MRA is low nationwide. Targeted approaches may be necessary to improve GDMT prescription for Veterans in lower performing HRRs.

Introduction: The COVID-19 pandemic has caused significant cardiovascular (CV) morbidity and mortality. Using a national registry, we evaluate the impact of age and variant on CV outcomes across the three main coronavirus waves. Methods: Using the AHA’s COVID-19 CV Disease Registry, we divided patients hospitalized with COVID-19 into three groups based on dominant variant at the time of admission (Alpha, Delta, Omicron). We further stratified patients based on age (young: 18-40, older: >40 years). Using adjusted logistic regression, we compared rates of major adverse cardiovascular events (MACE: new onset heart failure, myocardial infarction, stroke, or death) and in-patient mortality between the groups. Results: There were 41,426 patients in the alpha wave (young: 5,585, older: 35,841), 3,349 patients in the delta wave (young: 690, older: 2,659), and 646 patients in the omicron wave (young: 213, older: 433). The cohort’s median (25 th -75 th %ile) age was 63 (50-75) years. 46.8% of the patients were female. Rates of MACE in the Alpha, Delta, and Omicron waves were 20.8%, 23.6%, and 15.5%. Rates of death were 14.0%, 14.8% and 6.0%, respectively. Compared to alpha, patients presenting during delta had increased odds of MACE and death (OR: 1.57 [1.42-1.73] and OR: 1.49 [1.34-1.66]). Patients presenting during omicron had decreased odds of death (OR: 0.6 [0.43-0.84]) and similar odds of MACE compared to alpha. When stratifying by age, both young and older patients presenting during delta had increased odds of MACE and death when compared to alpha (Fig 1A). When compared to young patients, older patients had increased odds of MACE in all three waves (Fig 1B). Conclusions: Patients had increased odds of MACE and death during delta compared to alpha. Compared to young patients, older patients had increased odds of MACE across all three waves. These findings help elucidate the differential impact of age and variant on cardiovascular outcomes among those hospitalized with COVID-19.

BackgroundThe United States lacks a timely and accurate nationwide surveillance system for acute ischemic stroke (AIS). We use the Get With The Guidelines-Stroke registry to apply poststratification survey weights to generate national assessment of AIS epidemiology, hospital care quality, and in-hospital outcomes.MethodsClinical data from the Get With The Guidelines-Stroke registry were weighted using a Bayesian interpolation method anchored to observations from the national inpatient sample. To generate a US stroke forecast for 2019, we linearized time trend estimates from the national inpatient sample to project anticipated AIS hospital volume, distribution, and race/ethnicity characteristics for the year 2019. Primary measures of AIS epidemiology and clinical care included patient and hospital characteristics, stroke severity, vital and laboratory measures, treatment interventions, performance measures, disposition, and clinical outcomes at discharge.ResultsWe estimate 552 476 patients with AIS were admitted in 2019 to US hospitals. Median age was 71 (interquartile range, 60-81), 48.8% female. Atrial fibrillation was diagnosed in 22.6%, 30.2% had prior stroke/transient ischemic attack, and 36.4% had diabetes. At baseline, 46.4% of patients with AIS were taking antiplatelet agents, 19.2% anticoagulants, and 46.3% cholesterol-reducers. Mortality was 4.4%, and only 52.3% were able to ambulate independently at discharge. Performance nationally on AIS achievement measures were generally higher than 95% for all measures but the use of thrombolytics within 3 hours of early stroke presentations (81.9%). Additional quality measures had lower rates of receipt: dysphagia screening (84.9%), early thrombolytics by 4.5 hours (79.7%), and statin therapy (80.6%).ConclusionsWe provide timely, reliable, and actionable US national AIS surveillance using Bayesian interpolation poststratification weights. These data may facilitate more targeted quality improvement efforts, resource allocation, and national policies to improve AIS care and outcomes.

The majority of cardiovascular randomized controlled trials (RCTs) test interventions in selected patient populations under explicitly protocol-defined settings. Although these 'explanatory' trial designs optimize conditions to test the efficacy and safety of an intervention, they limit the generalizability of trial findings in broader clinical settings. The concept of 'pragmatism' in RCTs addresses this concern by providing counterbalance to the more idealized situation underpinning explanatory RCTs and optimizing effectiveness over efficacy. The central tenets of pragmatism in RCTs are to test interventions in routine clinical settings, with patients who are representative of broad clinical practice, and to reduce the burden on investigators and participants by minimizing the number of trial visits and the intensity of trial-based testing. Pragmatic evaluation of interventions is particularly important in cardiovascular diseases, where the risk of death among patients has remained fairly stable over the past few decades despite the development of new therapeutic interventions. Pragmatic RCTs can help to reveal the 'real-world' effectiveness of therapeutic interventions and elucidate barriers to their implementation. In this Review, we discuss the attributes of pragmatism in RCT design, conduct and interpretation as well as the general need for increased pragmatism in cardiovascular RCTs. We also summarize current challenges and potential solutions to the implementation of pragmatism in RCTs and highlight selected ongoing and completed cardiovascular RCTs with pragmatic trial designs.

Background Persistence to P2Y12 inhibitors after myocardial infarction (MI) remains low. Out-of-pocket cost is cited as a factor affecting medication compliance. We examined whether a copayment intervention affected 1-year persistence to P2Y12 inhibitors and clinical outcomes. Methods and Results In an analysis of ARTEMIS (Affordability and Real-World Antiplatelet Treatment Effectiveness After Myocardial Infarction Study), patients with MI discharged on a P2Y12 inhibitor were stratified by baseline out-of-pocket medication burden: low ($0-$49 per month), intermediate ($50-$149 per month), and high (≥$150 per month). The impact of the voucher intervention on 1-year P2Y12 inhibitor persistence was examined using a logistic regression model with generalized estimating equations. We assessed the rates of major adverse cardiovascular events among the groups using a Kaplan-Meier estimator. Among 7351 MI-treated patients at 282 hospitals, 54.2% patients were in the low copay group, 32.0% in the middle copay group, and 13.8% in the high copay group. Patients in higher copay groups were more likely to have a history of prior MI, heart failure, and diabetes compared with the low copay group (all P

Sodium-glucose cotransporter-2 inhibitors (SGLT2i) are a recent addition to the pillars of medical therapy for heart failure (HF) with reduced ejection fraction, all of which improve quality of life, morbidity, and mortality. These benefits are evident within the first 30 days of initiation. This review discusses the rationale for SGLT2i initiation in simultaneous or in rapid sequence with other guideline-directed medical therapy (GDMT). We also discuss SGLT2i use and early benefits in HF patients with an ejection fraction greater than 40%.

BackgroundGaps in the receipt and dosing of guideline-directed medical therapy (GDMT) persist for patients with heart failure with reduced ejection fraction (HFrEF) [1]. In 2020, the Veterans Affairs (VA) developed a heart failure (HF) specific population dashboard to monitor care quality and performance on standard HFrEF performance measures [2].MethodsThe Dashboard Activated Services and Telehealth for HF (DASH-HF) study is a pragmatic randomized quality improvement study designed to evaluate the utility of proactive population management clinics using the VA's HF dashboard to optimize GDMT for patients with HFrEF. Panel management telemedicine clinics incorporated multidisciplinary clinicians to perform chart review and impromptu telephone encounters to evaluate current HFrEF management and opportunities to optimize GDMT. The study will evaluate the efficacy of proactive panel management to usual care at 6 months as quantified by the GDMT optimization potential score. Secondary outcomes include hospitalizations, mortality, and clinician time per intervention. The study completed enrollment and randomization of 300 participants. The intervention was performed from September to December 2021.ConclusionDASH-HF will contribute to the literature by evaluating use of the existing VA dashboard to identify HF patients with the lowest adherence to GDMT and proactively target this group for the intervention.Registrationhttps://clinicaltrials.gov/. Unique identifier: NCT05001165.

Background Several cancer therapies have been associated with cardiovascular harm in early-phase clinical trials. However, some cardiovascular harms do not manifest until later-phase trials. To limit interdisease variability, we focused on breast cancer. Thus, we assessed the reporting of cardiovascular safety monitoring and outcomes in phase 2 and 3 contemporary breast cancer clinical trials. Methods and Results We searched Embase and Medline records for phase 2 and 3 breast cancer pharmacotherapy trials. We examined exclusion criterion as a result of cardiovascular conditions, adverse cardiovascular event reporting, and cardiovascular safety assessment through cardiovascular imaging, ECG, troponin, or natriuretic peptides. Fisher's exact test was utilized to compare reporting. Fifty clinical trials were included in our study. Patients were excluded because of cardiovascular conditions in 42 (84%) trials. Heart failure was a frequent exclusion criterion (n=31; 62% trials). Adverse cardiovascular events were reported in 43 (86%) trials. Cardiovascular safety assessments were not reported in 23 (46%) trials, whereas natriuretic peptide and troponin assessments were not reported in any trial. Cardiovascular safety assessments were more frequently reported in industry-funded trials (69.2% versus 0.0%; P

BackgroundWith rising United States health care expenditure, estimating current spending for patients with heart failure (HF) informs the value of preventative health interventions.ObjectivesThe purpose of this study was to estimate current health care expenditure growth for patients with HF in the United States.MethodsThe authors pooled MEPS (Medical Expenditure Panel Survey) data from 2009-2018 to calculate total HF-related expenditure across clinical settings in the United States. A 2-part model adjusted for demographics, comorbidities, and year was used to estimate annual mean and incremental expenditures associated with HF.ResultsIn the United States, an average of $28,950 (2018 inflation-adjusted dollars) is spent per year for health care-related expenditure for individuals with HF compared with $5,727 for individuals without HF. After adjusting for demographics and comorbidities, a diagnosis of HF was associated with $3,594 in annual incremental expenditure compared with those without HF. HF-related expenditure increased from $26,864 annual per person in 2009-2010 to $32,955 in 2017-2018, representing a 23% rise over 10 years. In comparison, expenditure on myocardial infarction, type 2 diabetes mellitus, and cancer grew by 16%, 28%, and 16%, respectively. Most of the cost was related to hospitalization: $12,569 per year. Outpatient office-based care and prescription medications saw the greatest growth in cost over the period, 41% and 24%, respectively. Estimated incremental national expenditure for HF per year was $22.3 billion; total annual expenditure for adults with HF was $179.5 billion.ConclusionsHF is a costly condition for which expenditure is growing faster than that of other chronic conditions.