What is the additive value of nutritional deficiency to VA-FI in the risk assessment for heart failure patients?

OBJECTIVES: To assess the impact of adding the Prognostic Nutritional Index (PNI) to the U.S. Veterans Health Administration frailty index (VA-FI) for the prediction of time-to-death and other clinical outcomes in Veterans hospitalized with Heart Failure. METHODS: A retrospective cohort study of veterans hospitalized for heart failure (HF) from October 2015 to October 2018. Veterans ≥50 years with albumin and lymphocyte counts, needed to calculate the PNI, in the year prior to hospitalization were included. We defined malnutrition as PNI ≤43.6, based on the Youden index. VA-FI was calculated from the year prior to the hospitalization and identified three groups: robust (≤0.1), prefrail (0.1-0.2), and frail (>0.2). Malnutrition was added to the VA-FI (VA-FI-Nutrition) as a 32nd deficit with the total number of deficits divided by 32. Frailty levels used the same cut-offs as the VA-FI. We compared categories based on VA-FI to those based on VA-FI-Nutrition and estimated the hazard ratio (HR) for post-discharge all-cause mortality over the study period as the primary outcome and other adverse events as secondary outcomes among patients with reduced or preserved ejection fraction in each VA-FI and VA-FI-Nutrition frailty groups. RESULTS: We identified 37,601 Veterans hospitalized for HF (mean age: 73.4 ± 10.3 years, BMI: 31.3 ± 7.4 kg/m2). In general, VA-FI-Nutrition reclassified 1959 (18.6%) Veterans to a higher frailty level. The VA-FI identified 1,880 (5%) as robust, 8,644 (23%) as prefrail, and 27,077 (72%) as frail. The VA-FI-Nutrition reclassified 382 (20.3%) from robust to prefrail and 1577 (18.2%) from prefrail to frail creating the modified-prefrail and modified-frail categories based on the VA-FI-Nutrition. We observed shorter time-to-death among Veterans reclassified to a higher frailty status vs. those who remained in their original group (Median of 2.8 years (IQR:0.5,6.8) in modified-prefrail vs. 6.3 (IQR:1.8,6.8) years in robust, and 2.2 (IQR:0.7,5.7) years in modified-frail vs. 3.9 (IQR:1.4,6.8) years in prefrail). The adjusted HR in the reclassified groups was also significantly higher in the VA-FI-Nutrition frailty categories with a 38% increase in overall all-cause mortality among modified-prefrail and a 50% increase among modified-frails. Similar trends of increasing adverse events were also observed among reclassified groups for other clinical outcomes. CONCLUSION: Adding PNI to VA-FI provides a more accurate and comprehensive assessment among Veterans hospitalized for HF. Clinicians should consider adding a specific nutrition algorithm to automated frailty tools to improve the validity of risk prediction in patients hospitalized with HF.

Racial and ethnic disparities in cardiovascular disease - analysis across major US national databases.

BACKGROUND: There are several studies that have analyzed disparities in cardiovascular disease (CVD) health using a variety of different administrative databases; however, a unified analysis of major databases does not exist. In this analysis of multiple publicly available datasets, we sought to examine racial and ethnic disparities in different aspects of CVD, CVD-related risk factors, CVD-related morbidity and mortality, and CVD trainee representation in the US. METHODS: We used National Health and Nutrition Examination Survey, National Ambulatory Medical Care Survey, National Inpatient Sample, Centers for Disease Control and Prevention Wide-Ranging OnLine Data for Epidemiologic Research, United Network for Organ Sharing, and American Commission for Graduate Medical Education data to evaluate CVD-related disparities among Non-Hispanic (NH) White, NH Black and Hispanic populations. RESULTS: The prevalence of most CVDs and associated risk factors was higher in NH Black adults compared to NH White adults, except for dyslipidemia and ischemic heart disease (IHD). Statins were underutilized in IHD in NH Black and Hispanic patients. Hospitalizations for HF and stroke were higher among Black patients compared to White patients. All-cause, CVD, heart failure, acute myocardial infarction, IHD, diabetes mellitus, hypertension and cerebrovascular disease related mortality was highest in NH Black or African American individuals. The number of NH Black and Hispanic trainees in adult general CVD fellowship programs was disproportionately lower than NH White trainees. CONCLUSION: Racial disparities are pervasive across the spectrum of CVDs with NH Black adults at a significant disadvantage compared to NH White adults for most CVDs.

Novel Prediction Equations for Absolute Risk Assessment of Total Cardiovascular Disease Incorporating Cardiovascular-Kidney-Metabolic Health: A Scientific Statement From the American Heart Association.

Cardiovascular-kidney-metabolic (CKM) syndrome is a novel construct recently defined by the American Heart Association in response to the high prevalence of metabolic and kidney disease. Epidemiological data demonstrate higher absolute risk of both atherosclerotic cardiovascular disease (CVD) and heart failure as an individual progresses from CKM stage 0 to stage 3, but optimal strategies for risk assessment need to be refined. Absolute risk assessment with the goal to match type and intensity of interventions with predicted risk and expected treatment benefit remains the cornerstone of primary prevention. Given the growing number of therapies in our armamentarium that simultaneously address all 3 CKM axes, novel risk prediction equations are needed that incorporate predictors and outcomes relevant to the CKM context. This should also include social determinants of health, which are key upstream drivers of CVD, to more equitably estimate and address risk. This scientific statement summarizes the background, rationale, and clinical implications for the newly developed sex-specific, race-free risk equations: PREVENT (AHA Predicting Risk of CVD Events). The PREVENT equations enable 10- and 30-year risk estimates for total CVD (composite of atherosclerotic CVD and heart failure), include estimated glomerular filtration rate as a predictor, and adjust for competing risk of non-CVD death among adults 30 to 79 years of age. Additional models accommodate enhanced predictive utility with the addition of CKM factors when clinically indicated for measurement (urine albumin-to-creatinine ratio and hemoglobin A1c) or social determinants of health (social deprivation index) when available. Approaches to implement risk-based prevention using PREVENT across various settings are discussed.

Health data ecosystem in Pakistan: a multisectoral qualitative assessment of needs and opportunities.

OBJECTIVE: Data are essential for tracking and monitoring of progress on health-related sustainable development goals (SDGs). But the capacity to analyse subnational and granular data is limited in low and middle-income countries. Although Pakistan lags behind on achieving several health-related SDGs, its health information capacity is nascent. Through an exploratory qualitative approach, we aimed to understand the current landscape and perceptions on data in decision-making among stakeholders of the health data ecosystem in Pakistan. DESIGN: We used an exploratory qualitative study design. SETTING: This study was conducted at the Aga Khan University, Karachi, Pakistan. PARTICIPANTS: We conducted semistructured, in-depth interviews with multidisciplinary and multisectoral stakeholders from academia, hospital management, government, Non-governmental organisations and other relevant private entities till thematic saturation was achieved. Interviews were recorded and transcribed, followed by thematic analysis using NVivo. RESULTS: Thematic analysis of 15 in-depth interviews revealed three major themes: (1) institutions are collecting data but face barriers to its effective utilisation for decision-making. These include lack of collection of needs-responsive data, lack of a gender/equity in data collection efforts, inadequate digitisation, data reliability and limited analytical ability; (2) there is openness and enthusiasm for sharing data for advancing health; however, multiple barriers hinder this including appropriate regulatory frameworks, platforms for sharing data, interoperability and defined win-win scenarios; (3) there is limited capacity in the area of both human capital and infrastructure, for being able to use data to advance health, but there is appetite to improve and invest in capacity in this area. CONCLUSIONS: Our study identified key areas of focus that can contribute to orient a national health data roadmap and ecosystem in Pakistan.

Demographic and Regional Trends of Cardiovascular Diseases and Diabetes Mellitus-Related Mortality in the United States From 1999 to 2019.

OBJECTIVE: The purpose of this research was to study the contemporary trends in cardiovascular disease (CVD) and diabetes mellitus (DM)-related mortality. METHODS: We used the Centers for Disease Control and Prevention Wide-Ranging OnLine Data for Epidemiologic Research (CDC WONDER) database to identify adults ≥25 years old where both CVD and DM were listed as an underlying or contributing cause of death between 1999 and 2019. Crude and age-adjusted mortality rates per 100,000 population were determined. RESULTS: The overall age-adjusted mortality rate was 99.18 in 1999 and 91.43 in 2019, with a recent increase from 2014-2019 (annual percent change 1.0; 95% confidence interval [CI], 0.3-1.6). Age-adjusted mortality rate was higher for males compared with females, with increasing mortality in males between 2014 and 2019 (annual percent change 1.5; 95% CI, 0.9-2.0). Age-adjusted mortality rate was highest for non-Hispanic Black adults and was ∼2-fold higher compared with non-Hispanic White adults. Young and middle-aged adults (25-69 years) had increasing age-adjusted mortality rates in recent years. There were significant urban-rural disparities, and age-adjusted mortality rates in rural counties increased from 2014 to 2019 (annual percent change 2.2; 95% CI, 1.5-2.9); states in the 90th percentile of mortality had age-adjusted mortality rates that were ∼2-fold higher than those in the bottom 10th percentile of mortality. CONCLUSION: After an initial decrease in DM + CVD-related mortality for a decade, this trend has reversed, with increasing mortality from 2014 to 2019. Significant geographic and demographic disparities persist, requiring targeted health policy interventions to prevent the loss of years of progress.

Sociodemographic determinants of oral anticoagulant prescription in patients with atrial fibrillations: findings from the PINNACLE registry using machine learning.

Background: Current risk scores that are solely based on clinical factors have shown modest predictive ability for understanding of factors associated with gaps in real-world prescription of oral anticoagulation (OAC) in patients with atrial fibrillation (AF). Objective: In this study, we sought to identify the role of social and geographic determinants, beyond clinical factors associated with variation in OAC prescriptions using a large national registry of ambulatory patients with AF. Methods: Between January 2017 and June 2018, we identified patients with AF from the American College of Cardiology PINNACLE (Practice Innovation and Clinical Excellence) Registry. We examined associations between patient and site-of-care factors and prescription of OAC across U.S. counties. Several machine learning (ML) methods were used to identify factors associated with OAC prescription. Results: Among 864,339 patients with AF, 586,560 (68%) were prescribed OAC. County OAC prescription rates ranged from 26.8% to 93%, with higher OAC use in the Western United States. Supervised ML analysis in predicting likelihood of OAC prescriptions and identified a rank order of patient features associated with OAC prescription. In the ML models, in addition to clinical factors, medication use (aspirin, antihypertensives, antiarrhythmic agents, lipid modifying agents), and age, household income, clinic size, and U.S. region were among the most important predictors of an OAC prescription. Conclusion: In a contemporary, national cohort of patients with AF underuse of OAC remains high, with notable geographic variation. Our results demonstrated the role of several important demographic and socioeconomic factors in underutilization of OAC in patients with AF.

Clinical and Economic Profile of Homeless Young Adults with Stroke in the United States, 2002-2017.

Homelessness is a major social determinant of health. We studied the clinical and economic profile of homeless young adults hospitalized with stroke. We studied the National Inpatient Sample database (2002-2017) to evaluate trends of stroke hospitalization, clinical outcomes, and health expenditure in homeless vs non-homeless young adults (<45 years). We identified 3134 homeless individuals out of 648,944 young adults. Homeless patients were more likely to be men, Black adults and had a higher prevalence of cardiometabolic risk factors and psychiatric disorders than non-homeless adults. Both homeless and non-homeless adults had a similar prevalence of ischemic and hemorrhagic stroke. Between 2002 and 2017, hospitalization rates per million increased for both non-homeless (295.8-416.8) and homeless adults (0.5-3.6) (P ≤ 0.01). Between 2003 and 2017, the decline in in-hospital mortality was limited to non-homeless adults (11%-9%), while it has increased in homeless adults (3%-11%) (P < 0.01). The prevalence of acute myocardial infarction (6.8% vs 3.3%, P < 0.01), and acute kidney injury (13.1% vs 9.4%, P < 0.01) was also higher in homeless vs. non-homeless adults. The length of stay and inflation-adjusted care cost were comparable between both study groups. Finally, a higher proportion of homeless patients left the hospital against medical advice than non-homeless adults. Homeless young stroke patients had significant comorbidities, increased hospitalization rates, and adverse clinical outcomes. Therefore, public health interventions should focus on multidisciplinary care to reduce health care disparities among young homeless adults.

Unfavorable social determinants of health are associated with higher burden of financial toxicity among patients with atherosclerotic cardiovascular disease in the US: findings from the National Health Interview Survey.

BACKGROUND: Atherosclerotic cardiovascular disease (ASCVD) is a major cause of financial toxicity, defined as excess financial strain from healthcare, in the US. Identifying factors that put patients at greatest risk can help inform more targeted and cost-effective interventions. Specific social determinants of health (SDOH) such as income are associated with a higher risk of experiencing financial toxicity from healthcare, however, the associations between more comprehensive measures of cumulative social disadvantage and financial toxicity from healthcare are poorly understood. METHODS: Using the National Health Interview Survey (2013-17), we assessed patients with self-reported ASCVD. We identified 34 discrete SDOH items, across 6 domains: economic stability, education, food poverty, neighborhood conditions, social context, and health systems. To capture the cumulative effect of SDOH, an aggregate score was computed as their sum, and divided into quartiles, the highest (quartile 4) containing the most unfavorable scores. Financial toxicity included presence of: difficulty paying medical bills, and/or delayed/foregone care due to cost, and/or cost-related medication non-adherence. RESULTS: Approximately 37% of study participants reported experiencing financial toxicity from healthcare, with a prevalence of 15% among those in SDOH Q1 vs 68% in SDOH Q4. In fully-adjusted regression analyses, individuals in the 2nd, 3rd and 4th quartiles of the aggregate SDOH score had 1.90 (95% CI 1.60, 2.26), 3.66 (95% CI 3.11, 4.35), and 8.18 (95% CI 6.83, 9.79) higher odds of reporting any financial toxicity from healthcare, when compared with participants in the 1st quartile. The associations were consistent in age-stratified analyses, and were also present in analyses restricted to non-economic SDOH domains and to 7 upstream SDOH features. CONCLUSIONS: An unfavorable SDOH profile was strongly and independently associated with subjective financial toxicity from healthcare. This analysis provides further evidence to support policies and interventions aimed at screening for prevalent financial toxicity and for high financial toxicity risk among socially vulnerable groups.

Racial Disparity in Flu Vaccine Uptake Among Asian American Individuals: A National Health Interview Survey Study.

Vaccination coverage rates across Asian American subpopulations with atherosclerotic cardiovascular disease (ASCVD) and diabetes mellitus is not well-studied. We used data from the National Health Interview Survey (NHIS) from 2006 to 2018 and included participants with a history of ASCVD or diabetes. Vaccination coverage in White were compared with Chinese, Asian Indian, Filipino, and "other Asian" (Japanese, Korean, and Vietnamese) adults using univariable and multivariable logistic regression models. We included 50,839 participants, mean age 62.7 ± 0.1 years, 46.3% women, 89.1% US-born. Filipino (59%) and Asian Indian (56%) adults were less likely to receive influenza vaccine than "other Asians" (66%), Chinese (65%), and White (60%) participants (P < 0.001). In multivariable adjusted models, Chinese (OR = 1.66, 1.02-2.69), Asian Indian (OR = 1.50, 1.07-2.10), and "other Asian" ethnicity (OR = 1.81, 1.38-2.36) were associated with higher odds of receiving influenza vaccination compared with White. Influenza vaccine coverage remains suboptimal across all studied races/ethnicities.

The Impact of the Affordable Care Act on Disparities in Utilization of Cardiovascular Preventive Services by Socioeconomic Status.

Disparities in cardiovascular outcomes are persistent in our society. The objective was to track the trends before and after the passage of the Affordable Care Act in socioeconomic status (SES) disparities in utilization of cardiovascular disease (CVD) preventive services among nonelderly adults aged 18-64 years. This study used the National Health Interview Survey (2011-2017) to compare utilization of blood pressure, cholesterol, glycemic screening, and diet and smoking cessation advice over time between groups stratified by SES and race using difference-in-difference analysis. This study also measured the differences over time in specific vulnerable population subgroups (Hispanic, low-income and uninsured vs. White, middle-high-income, and insured). The study population included 176,961 surveyed individuals (mean age 40 [±13] years; 51% female; 67.7% non-Hispanic White) between 2011 and 2017, translating to 194.8 million nonelderly US adults per year. Most individuals were from high-income SES (40.0%), followed by middle-income (28.1%), low-income (13.6%), and lowest income SES (18.3%). The proportion of CVD preventive services increased over all SES categories through the study period. The biggest relative changes were seen among low-income individuals. The difference in blood pressure checks, cholesterol checks, and smoking cessation advise between high- and lowest income groups showed a statistically significant decrease at 5.2%, 4.8%, and 11.2%, respectively, between 2011 and 2017. The findings demonstrate a trend in reduction of CVD preventive care disparities between SES groups. However, a gap still exists, and this study highlights the need for continuous improvement to eliminate SES disparities.

Racial/Ethnic Disparities and Determinants of Sufficient Physical Activity Levels.

Introduction: Adequate physical activity is an integral requirement for achieving cardiovascular health. Physical inactivity is the fourth leading cause of death worldwide. Hence, it is important to identify racial/ethnic groups that are less likely to achieve sufficient physical activity levels, and to address barriers to meeting physical activity requirements. Methods: Cross-sectional data from the 2006-2015 National Health Interview Survey (NHIS) were used to compare self-reported sufficient physical activity among different racial/ethnic groups: non-Hispanic (NH) Whites, NH Blacks, NH Asians, and Hispanics in the United States. Sufficient physical activity was defined as ≥ 150 minutes per week of moderate-intensity physical activity, ≥ 75 minutes per week of vigorous-intensity physical activity, or ≥ 150 minutes per week of moderate and vigorous physical activity. Results: The study sample consisted of 296,802 individuals, mean age ± standard error age 46.4 ± 0.10 years, 52% women, 70% NH White, 12% NH Black, 5% NH Asian, and 14% Hispanic. The prevalence of sufficient physical activity in the overall population was 46%, while it was 48% among NH Whites, 39% among NH Blacks, 45% among NH Asians, and 40% among Hispanics. In multivariable-adjusted models (odds ratio; 95% confidence interval), NH Blacks (0.79; 0.64,0.97), NH Asians (0.72; 0.62,0.85) and Hispanics (0.71; 0.61,0.82) were significantly less likely to engage in sufficient physical activity compared with NH Whites. Older age, women, and low income were inversely associated with sufficient physical activity, while a college education or higher was associated directly with it. Conclusions: NH Black and Asian Americans and Hispanic adults were less likely to engage in sufficient physical activity levels compared with Whites. It is important to address barriers to meeting physical activity thresholds to help achieve optimal cardiovascular health.

State-Level Social Vulnerability Index and Healthcare Access in Patients With Atherosclerotic Cardiovascular Disease (from the BRFSS Survey).

We analyzed the association between social vulnerability index (SVI) and healthcare access among patients with atherosclerotic cardiovascular disease (ASCVD). Using cross-sectional data from the Behavioral Risk Factor Surveillance System 2016 to 2019, we identified measures related to healthcare access in individuals with ASCVD, which included healthcare coverage, presence of primary care clinician, duration since last routine checkup, delay in access to healthcare, inability to see doctor because of cost, and cost-related medication nonadherence. We analyzed the association of state-level SVI (higher SVI denotes higher social vulnerability) and healthcare access using multivariable-adjusted logistic regression models. The study population comprised 203,347 individuals aged 18 years or older who reported a history of ASCVD. In a multivariable-adjusted analysis, prevalence odds ratios (95% confidence interval) for participants residing in states in the third tertile of SVI compared with those in the first tertile (used as reference) were as follows: absence of healthcare coverage = 1.03 (0.85 to 1.24), absence of primary care clinician = 1.33 (1.12 to 1.58), >1 year since last routine checkup = 1.09 (0.96 to 1.23), delay in access to healthcare = 1.39 (1.18, 1.63), inability to see a doctor because of cost = 1.21 (1.06 to 1.40), and cost-related medication nonadherence = 1.10 (0.83 to 1.47). In conclusion, SVI is associated with healthcare access in those with pre-existing ASCVD. Due to the ability of SVI to simultaneously and holistically capture many of the factors of social determinants of health, SVI can be a useful measure for identifying high-risk populations.

National trends and disparities in statin use for ischemic heart disease from 2006 to 2018: Insights from National Ambulatory Medical Care Survey.

BACKGROUND: Statins are a cornerstone guideline-directed medical therapy for secondary prevention of ischemic heart disease (IHD). However, recent temporal trends and disparities in statin utilization for IHD have not been well characterized. METHODS: This retrospective analysis included data from outpatient adult visits with IHD from the National Ambulatory Medical Care Survey (NAMCS) between January 2006 and December 2018. We examined the trends and predictors of statin utilization in outpatient adult visits with IHD. RESULTS: Between 2006 and 2018, we identified a total of 542,704,112 weighted adult ambulatory visits with IHD and of those 46.6% were using or prescribed statin. Middle age (50-74 years) (adjusted odds ratio [aOR] 1.65, 95% confidence interval [CI] 1.28-2.13 P < .001) and old age (≥75 years) (aOR = 1.66, CI 1.26-2.19, P < .001) compared to young age (18-49 years), and male sex (aOR = 1.35, CI 1.23-1.48, P < .001) were associated with greater likelihood of statin utilization, whereas visits with non-Hispanic (NH) Black patients (aOR = 0.75, CI 0.61-0.91, P = .005) and Hispanic patients (aOR = 0.74, CI 0.60-0.92, P = .006) were associated with decreased likelihood of statin utilization compared to NH White patient visits. Compared with private insurance, statin utilization was nominally lower in Medicare (aOR = 0.91, CI 0.80-1.02, P = .112), Medicaid (aOR = 0.78, CI 0.59-1.02, P = .072) and self-pay/no charge (aOR = 0.72, CI 0.48-1.09, P = .122) visits, however did not reach statistical significance. There was no significant uptake in statin utilization from 2006 (44.1%) to 2018 (46.2%) (P = .549). CONCLUSIONS: Substantial gaps remain in statin utilization for patients with IHD, with no significant improvement in use between 2006 and 2018. Persistent disparities in statin prescription remain, with the largest treatment gaps among younger patients, women, and racial/ethnic minorities (NH Blacks and Hispanics).

State-Level Social Vulnerability Index and Healthcare Access: The Behavioral Risk Factor Surveillance System Survey.

INTRODUCTION: Access to health care is affected by social determinants of health. The social vulnerability index encompasses multiple social determinants of health simultaneously and may therefore be associated with healthcare access. METHODS: Cross-sectional data were used from the 2016‒2019 Behavioral Risk Factor Surveillance System, a nationally representative U.S. telephone-based survey of adults aged ≥18 years. State-level social vulnerability index was derived using county-level social vulnerability index estimates from the Centers for Disease Control and Prevention Agency for Toxic Substances and Disease Registry. Analyses were performed in October 2021. Social vulnerability index was ranked according to percentiles, which were divided into tertiles: Tertile 1 (0.10-0.32), Tertile 2 (0.33-0.53), and Tertile 3 (0.54-0.90). RESULTS: In multivariable-adjusted models comparing U.S. states in Tertile 3 with those in Tertile 1 of social vulnerability index, there was a higher prevalence of absence of healthcare coverage (OR=1.39 [95% CI=1.22, 1.58]), absence of primary care provider (OR=1.34 [95% CI=1.22, 1.48]), >1-year duration since last routine checkup (OR=1.18 [95% CI=1.10, 1.27]), inability to see a doctor because of cost (OR=1.38 [95% CI=1.23, 1.54]), and the composite variable of any difficulty in accessing healthcare (OR=1.15 [95% CI=1.08, 1.22]). CONCLUSIONS: State-level social vulnerability is associated with several measures related to healthcare access. These results can help to identify targeted interventions to improve access to health care in U.S. states with high social vulnerability index burden.

Reducing Cardiovascular Risk in the Medicare Million Hearts Risk Reduction Model: Insights From the National Cardiovascular Data Registry PINNACLE Registry.

BACKGROUND: The Million Hearts Cardiovascular Disease Risk Reduction Model provides financial incentives for practices to lower 10-year atherosclerotic cardiovascular disease (ASCVD) risk for high-risk (ASCVD ≥30%) Medicare patients. To estimate average practice-level ASCVD risk reduction, we applied optimal trial outcomes to a real-world population with high ASCVD risk. METHODS: This study uses observational registry data from the National Cardiovascular Data Registry Practice Innovation and Clinical Excellence Registry from January 2013 to June 2016. We modeled ASCVD risk reductions using historical clinical trial data (reducing cholesterol by 26.5%, reducing systolic blood pressure by 10.9%, reducing smoking rates by 21.8%) the average reduction in ASCVD risk associated with individual and combined risk factor modifications, and then percentage of practices achieving the various incentive thresholds for the Million Hearts Model. RESULTS: The final study population included 135 166 patients, with 16 248 (12.0%) with 10-year ASCVD risk of ≥30%, but without existing ASCVD. The mean 10-year ASCVD risk was 41.9% (±1 SD of 11.6). Using risk factor reductions from clinical trials, lowering cholesterol, blood pressure, and smoking rates reduced 10-year ASCVD risk by 3.3% (±3.1), 6.3% (±1.1) and 0.5% (±1.3), respectively. Combining all 3 reductions resulted in a 9.7% (±3.6) reduction, with 67 (27.0%) of practices achieving a patient-level average 10-year ASCVD risk reduction of ≥10%, 181 (73.0%) achieving a 2 to 10% reduction, and no practice achieving <2% reduction. CONCLUSIONS: In cardiology practices, about 1 out of 8 patients have a 10-year ASCVD risk ≥30% and qualify as high risk in the Million Hearts Model. If practices target the three main modifiable risk factors and achieve reductions similar to clinical trial results, ASCVD risk could be substantially lowered and all practices could receive incentive payments. These findings support the potential benefit of the Million Hearts Model and provide guidance to participating practices.

Social Determinants of Health Among Non-Elderly Adults With Stroke in the United States.

OBJECTIVE: To examine the association of social determinants of health (SDOH) on prevalence of stroke in non-elderly adults (<65 years of age). METHODS: We used the National Health Interview Survey (2013-2017) database. The study population was stratified into younger (<45 years of age) and middle age (45 to 64 years of age) adults. For each individual, an SDOH aggregate score was calculated representing the cumulative number of individual unfavorable SDOH (present vs absent), identified from 39 subcomponents across five domains (economic stability, neighborhood, community and social context, food, education, and health care system access) and divided into quartiles (quartile 1, most favorable; quartile 4, most unfavorable). Multivariable models tested the association between SDOH score quartiles and stroke. RESULTS: The age-adjusted prevalence of stroke was 1.4% in the study population (n=123,631; 58.2% (n=71,956) in patients <45 years of age). Young adults reported approximately 20% of all strokes. Participants with stroke had unfavorable responses to 36 of 39 SDOH; nearly half (48%) of all strokes were reported by participants in the highest SDOH score quartile. A stepwise increase in age-adjusted stroke prevalence was observed across increasing quartiles of SDOH (first, 0.6%; second, 0.9%; third, 1.4%; and fourth, 2.9%). After accounting for demographics and cardiovascular disease risk factors, participants in the fourth vs first quartile had higher odds of stroke (odds ratio, 2.78; 95% CI, 2.25 to 3.45). CONCLUSION: Nearly half of all non-elderly individuals with stroke have an unfavorable SDOH profile. Standardized assessment of SDOH risk burden may inform targeted strategies to mitigate disparities in stroke burden and outcomes in this population.

Clinical and Economic Burden of Percutaneous Coronary Intervention in Hospitalized Young Adults in the United States, 2004-2018.

The clinical and economic burden of percutaneous coronary intervention (PCI) in young adults (18-45 years) is understudied. We used the National Inpatient Sample database between 2004 and 2018 to study trends in PCI volume, in-hospital mortality, length of stay (LOS), and health care expenditure among adults aged 18-45 years who underwent PCI. The data were weighted to explore national estimates of the entire US hospitalized population. We identified 558,611 PCI cases, equivalent to 31.4 per 1,000,000 person-years; 25.4% were women, and 69.5% were White adults. Overall, annual PCI volume significantly decreased from 41.6 per 100,000 in 2004 to 21.9 per 100,000 in 2018, mainly due to 83% volume reduction in non-myocardial infarction (MI) cases. The prevalence of cardiometabolic comorbidities, smoking, and drug abuse increased. Overall, in-hospital mortality was 0.87%; women had higher mortality than men (1.12% vs 0.78%; P = 0.01). The crude and risk-adjusted in-hospital mortality significantly increased between 2004 and 2018. Women, STEMI, NSTEMI, drug abuse, heart failure, peripheral vascular disease, and renal failure were associated with higher odds of in-hospital mortality. Inflation-adjusted cost significantly increased over time ($21,567 to $24,173). We noted reduction in PCI volumes but increasing mortality and clinical comorbidities among young patients undergoing PCI. Demographic disparities existed with women having higher in-hospital mortality than men.

Shared decision making and patient reported outcomes among adults with atherosclerotic cardiovascular disease, medical expenditure panel survey 2006-2015.

IMPORTANCE: Shared decision-making (SDM), one of the pillars of patient centered care is strongly encouraged and has been incorporated into the management of atherosclerotic cardiovascular disease (ASCVD) but the expansion of its use has been limited. OBJECTIVE: To determine the association of SDM on patient-reported health status, measures of quality of care, healthcare resource utilization, and healthcare spending among US adults with ASCVD. METHOD: This is a retrospective cohort study in an ambulatory setting, utilizing the Medical Expenditure Panel Survey (MEPS) 2006-2015. Analysis completed in December 2020. Participants included were adults 18 years and over with a diagnosis of ASCVD. We used the average weighted response to self-administered questionnaire evaluating shared-decision-making process as the exposure variable in the regression model. Outcome measures included inpatient hospitalizations, Emergency Department (ED) visits, statin and aspirin use, self-perception of health, and healthcare expenditure. RESULTS: When compared with individuals reporting poor SDM, those with optimal SDM were more likely to report statin and aspirin use [statin use, Odds Ratio (OR) 1.26 (95% CI, 1.09-1.46)], [aspirin use, 1.25 (1.07-1.45)], more likely to have a positive perception of their health and healthcare related quality of life, and were less likely to visit the ED [OR for ≥ 2 ED visits: 0.81 (0.67-0.99)]. There was no difference between groups in annual total or out of pocket healthcare expenditure. CONCLUSION: This study suggests that effective SDM is associated with better utilization of healthcare resources and patient reported health outcomes. We hope these results could provide useful evidence for expanding the use of SDM in patient-centered care among individuals with ASCVD.

Gender disparities in difficulty accessing healthcare and cost-related medication non-adherence: The CDC behavioral risk factor surveillance system (BRFSS) survey.

Ensuring healthcare access is critical to maintain health and prevent illness. Studies demonstrate gender disparities in healthcare access. Less is known about how these vary with age, race/ethnicity, and atherosclerotic cardiovascular disease. We utilized cross-sectional data from 2016 to 2019 CDC Behavioral Risk Factor Surveillance System (BRFSS), a U.S. telephone-based survey of adults (≥18 years). Measures of difficulty accessing healthcare included absence of healthcare coverage, delay in healthcare access, absence of primary care physician, >1-year since last checkup, inability to see doctor due to cost, and cost-related medication non-adherence. We studied the association between gender and these variables using multivariable-adjusted logistic regression models, stratifying by age, race/ethnicity, and atherosclerotic cardiovascular disease status. Our population consisted of 1,737,397 individuals; 54% were older (≥45 years), 51% women, 63% non-Hispanic White, 12% non-Hispanic Black,17% Hispanic, 9% reported atherosclerotic cardiovascular disease. In multivariable-adjusted models, women were more likely to report delay in healthcare access: odds ratio (OR) and (95% confidence interval): 1.26 (1.11, 1.43) [p < 0.001], inability to see doctor due to cost: 1.29 (1.22, 1.36) [p < 0.001], cost-related medication non-adherence: 1.24 (1.01, 1.50) [p = 0.04]. Women were less likely to report lack of healthcare coverage: 0.71 (0.66, 0.75) [p < 0.001] and not having a primary care physician: 0.50 (0.48, 0.52) [p < 0.001]. Disparities were pronounced in younger (<45 years) and Black women. Identifying these barriers, particularly among younger women and Black women, is crucial to ensure equitable healthcare access to all individuals.