Circulation. Cardiovascular Quality and Outcomes最新文献

Background: Deep neural networks have been used to estimate age from ECGs, the electrocardiographic age (ECG-age), which predicts adverse outcomes. However, this prediction ability has been restricted to clinical settings or relatively short periods. We hypothesized that ECG-age is associated with death and cardiovascular outcomes in the long-standing community-based FHS (Framingham Heart Study).

Methods: We tested the association of ECG-age with chronological age in the FHS cohorts in ECGs from 1986 to 2021. We calculated the gap between chronological and ECG-age (Δage) and classified individuals as having normal, accelerated, or decelerated aging, if Δage was within, higher, or lower than the mean absolute error of the model, respectively. We assessed the associations of Δage, accelerated and decelerated aging with death or cardiovascular outcomes (atrial fibrillation, myocardial infarction, and heart failure) using Cox proportional hazards models adjusted for age, sex, and clinical factors.

Results: The study population included 9877 FHS participants (mean age, 55±13 years; 54.9% women) with 34 948 ECGs. ECG-age was correlated to chronological age (r=0.81; mean absolute error, 9±7 years). After 17±8 years of follow-up, every 10-year increase of Δage was associated with 18% increase in all-cause mortality (hazard ratio [HR], 1.18 [95% CI, 1.12-1.23]), 23% increase in atrial fibrillation risk (HR, 1.23 [95% CI, 1.17-1.29]), 14% increase in myocardial infarction risk (HR, 1.14 [95% CI, 1.05-1.23]), and 40% increase in heart failure risk (HR, 1.40 [95% CI, 1.30-1.52]), in multivariable models. In addition, accelerated aging was associated with a 28% increase in all-cause mortality (HR, 1.28 [95% CI, 1.14-1.45]), whereas decelerated aging was associated with a 16% decrease (HR, 0.84 [95% CI, 0.74-0.95]).

Conclusions: ECG-age was highly correlated with chronological age in FHS. The difference between ECG-age and chronological age was associated with death, myocardial infarction, atrial fibrillation, and heart failure. Given the wide availability and low cost of ECG, ECG-age could be a scalable biomarker of cardiovascular risk.

Background: Cumulative costs of transcatheter aortic valve replacement (TAVR) differ in the referral, procedural and postprocedural phases depending on patient comorbidities, type of procedure, and procedural complications. Our goal was to determine the association between neighborhood measures of social deprivation and TAVR costs in each of the 3 phases.

Methods: Demographics, patient comorbidities, procedural details, in-hospital complications, and costs for adults undergoing TAVR between 2017 and 2020 in Ontario, Canada were obtained from administrative databases and linked to social deprivation data using the Ontario Marginalization Index. The 3 dimensions of social deprivation assessed were (1) material deprivation, (2) residential instability, and (3) ethnic concentration. Hierarchical generalized linear models were used to determine the association between neighborhood social deprivation and cumulative TAVR costs, reported in 2018 Canadian dollars.

Results: We identified a total of 7617 TAVR referrals with 3784 patients undergoing TAVR within our study period. Cumulative mean costs in the referral, procedural and postprocedural phases were $8116±$11 374, $32 790±$17 766, and $18 901±$32 490, respectively. After adjustment for clinical and demographic variables, higher factor scores in residential instability were associated with greater cumulative costs in the postprocedural phase, whereas higher factor scores in the other 2 dimensions of marginalization were not significantly associated with higher costs in any of the 3 phases.

Conclusions: This analysis shows that residential instability is associated with higher cumulative costs in the postprocedural phase of TAVR. This lays the foundation for future studies to understand the mechanism of this finding and identify potential mitigation policies.

Cardiovascular disease is the leading cause of pregnancy-related death in the United States. American Indian and Alaska Native individuals have some of the highest maternal death and morbidity rates. Data on the causes of cardiovascular disease-related death in American Indian and Alaska Native individuals are limited, and there are several challenges and opportunities to improve maternal cardiovascular health in this population. This scientific statement provides an overview of the current status of cardiovascular health among American Indian and Alaska Native birthing individuals and causes of maternal death and morbidity and describes a stepwise multidisciplinary framework for addressing cardiovascular disease and cerebrovascular disease during the preconception, pregnancy, and postpartum time frame. This scientific statement highlights the American Heart Association's factors for cardiovascular health assessment known collectively as Life's Essential 8 as they pertain to American Indian and Alaska Native birthing individuals. It summarizes the impact of substance use, adverse mental health conditions, and lifestyle and cardiovascular disease risk factors, as well as the cascading effects of institutional and structural racism and the historical trauma faced by American Indian and Alaska Native individuals. It recognizes the possible impact of systematic acts of colonization and dominance on their social determinants of health, ultimately translating into worse health care outcomes. It focuses on the underreporting of American Indian and Alaska Native disaggregated data in pregnancy and postpartum outcomes and the importance of engaging key stakeholders, designing culturally appropriate care, building trust among communities and health care professionals, and expanding the American Indian and Alaska Native workforce in biomedical research and health care settings to optimize the cardiovascular health of American Indian and Alaska Native birthing individuals.

Background: The goal of the Affordable Care Act was to improve health outcomes through expanding insurance, including through Medicaid expansion. We systematically reviewed the available literature on the association of Affordable Care Act Medicaid expansion with cardiac outcomes.

Methods: Consistent with Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines, we performed systematic searches in PubMed, the Cochrane Library, and Cumulative Index to Nursing and Allied Health Literature using the keywords such as Medicaid expansion and cardiac, cardiovascular, or heart to identify titles published from 1/2014 to 7/2022 that evaluated the association between Medicaid expansion and cardiac outcomes.

Results: A total of 30 studies met inclusion and exclusion criteria. Of these, 14 studies (47%) used a difference-in-difference study design and 10 (33%) used a multiple time series design. The median number of postexpansion years evaluated was 2 (range, 0.5-6) and the median number of expansion states included was 23 (range, 1-33). Commonly assessed outcomes included insurance coverage of and utilization of cardiac treatments (25.0%), morbidity/mortality (19.6%), disparities in care (14.3%), and preventive care (41.1%). Medicaid expansion was generally associated with increased insurance coverage, reduction in overall cardiac morbidity/mortality outside of acute care settings, and some increase in screening for and treatment of cardiac comorbidities.

Conclusions: Current literature demonstrates that Medicaid expansion was generally associated with increased insurance coverage of cardiac treatments, improvement in cardiac outcomes outside of acute care settings, and some improvements in cardiac-focused prevention and screening. Conclusions are limited because quasi-experimental comparisons of expansion and nonexpansion states cannot account for unmeasured state-level confounders.

Background: Previous studies demonstrate geographic and racial/ethnic variation in diagnosis and complications of diabetes and peripheral artery disease (PAD). However, recent trends for patients diagnosed with both PAD and diabetes are lacking. We assessed the period prevalence of concurrent diabetes and PAD across the United States from 2007 to 2019 and regional and racial/ethnic variation in amputations among Medicare patients.

Methods: Using Medicare claims from 2007 to 2019, we identified patients with both diabetes and PAD. We calculated period prevalence of concomitant diabetes and PAD and incident cases of diabetes and PAD for every year. Patients were followed to identify amputations, and results were stratified by race/ethnicity and hospital referral region.

Results: 9 410 785 patients with diabetes and PAD were identified (mean age, 72.8 [SD, 10.94] years; 58.6% women, 74.7% White, 13.2% Black, 7.3% Hispanic, 2.8% Asian/API, and 0.6% Native American). Period prevalence of diabetes and PAD was 23 per 1000 beneficiaries. We observed a 33% relative decrease in annual new diagnoses throughout the study. All racial/ethnic groups experienced a similar decline in new diagnoses. Black and Hispanic patients had on average a 50% greater rate of disease compared with White patients. One- and 5-year amputation rates remained stable at ≈1.5% and 3%, respectively. Native American, Black, and Hispanic patients were at greater risk of amputation compared with White patients at 1- and 5-year time points (5-year rate ratio range, 1.22-3.17). Across US regions, we observed differential amputation rates, with an inverse relationship between the prevalence of concomitant diabetes and PAD and overall amputation rates.

Conclusions: Significant regional and racial/ethnic variation exists in the incidence of concomitant diabetes and PAD among Medicare patients. Black patients in areas with the lowest rates of PAD and diabetes are at disproportionally higher risk for amputation. Furthermore, areas with higher prevalence of PAD and diabetes have the lowest rates of amputation.

Background: The 2022 clinical guidelines for management of heart failure with reduced ejection fraction call for quadruple therapy. Quadruple therapy consists of an angiotensin receptor-neprilysin inhibitor (ARNi), sodium-glucose cotransporter-2 inhibitor (SGLT2i), mineralocorticoid receptor antagonist, and beta blocker. The ARNi and sodium-glucose cotransporter-2 inhibitor are newer additions to standard of care with the ARNi replacing ACE (angiotensin-converting enzyme) inhibitors and angiotensin II receptor blockers.

Methods: We investigate the cost-effectiveness of sequentially adding the SGLT2i and ARNi to form quadruple therapy as compared with the previous standard of care with ACE inhibitor/mineralocorticoid receptor antagonist/beta blocker. Using a 2-stage Markov model, we projected the expected lifetime discounted costs and quality-adjusted life years (QALYs) of a simulated cohort of US patients who underwent each treatment option and calculated incremental cost-effectiveness ratios. We assessed incremental cost-effectiveness ratios using criteria for health care value (<$50 000/quality-adjusted life year [QALY] indicating high-value, $50 000-150 000/QALY indicating intermediate value, and >$150 000/QALY indicating low-value) and a standard $100 000/QALY cost-effectiveness threshold.

Results: Compared with the previous standard of care, the SGLT2i addition had an incremental cost-effectiveness ratio of $73 000/QALY and weakly dominated the ARNi addition. The addition of both the ARNi and SGLT2i for quadruple therapy offered 0.68 additional discounted QALYs over the SGLT2i addition alone at a lifetime discounted cost of $66 700, resulting in an incremental cost-effectiveness ratio of $98 500/QALY. In sensitivity analysis varying drug prices, the incremental cost-effectiveness ratio for quadruple therapy ranged from $73 500/QALY using prices available to the US Department of Veterans Affairs to $110 000/QALY using drug list prices.

Conclusions: While quadruple therapy offers intermediate value, it is borderline cost effective compared with adding the SGLT2i alone to previous standard of care. Thus, its cost-effectiveness is sensitive to a payer's ability to negotiate discounts off the increasing list prices for ARNI and SGLT2is. The demonstrated benefits of ARNi and SGLT2is should be weighed against their high prices in payer and policy considerations.