Delayed medical care due to transportation barriers among adults with atherosclerotic cardiovascular disease.

BACKGROUND: In patients with atherosclerotic cardiovascular disease (ASCVD), barriers related to transportation may impair access to care, with potential implications for prognosis. Although few studies have explored transportation barriers among patients with ASCVD, the correlates of delayed care due to transportation barriers have not been examined in this population. We aimed to examine this in U.S. patients with ASCVD using nationally representative data. METHODS: Using data from the 2009-2018 National Health Interview Survey, we estimated the self-reported prevalence of delayed medical care due to transportation barriers among adults with ASCVD, overall and by sociodemographic characteristics. Logistic regression was used to examine the association between various sociodemographic characteristics and delayed care due to transportation barriers. RESULTS: Among adults with ASCVD, 4.5% (95% CI; 4.2, 4.8) or ∼876,000 annually reported delayed care due to transportation barriers. Income (low-income: odds ratio [OR] 4.43, 95% CI [3.04, 6.46]; lowest-income: OR 6.35, 95% CI [4.36, 9.23]) and Medicaid insurance (OR 4.53; 95% CI [3.27, 6.29]) were strongly associated with delayed care due to transportation barriers. Additionally, younger individuals, women, non-Hispanic Black adults, and those from the U.S. South or Midwest, had higher odds of reporting delayed care due to transportation barriers. CONCLUSIONS: Approximately 5% of adults with ASCVD experience delayed care due to transportation barriers. Vulnerable groups include young adults, women, low-income people, and those with public/no insurance. Future studies should analyze the feasibility and potential benefits of interventions such as use of telehealth, mobile clinics, and provision of transportation among patients with ASCVD in the U.S.

Houston Methodist cardiovascular learning health system (CVD-LHS) registry: Methods for development and implementation of an automated electronic medical record-based registry using an informatics framework approach.

Objectives: To investigate the potential value and feasibility of creating a listing system-wide registry of patients with at-risk and established Atherosclerotic Cardiovascular Disease (ASCVD) within a large healthcare system using automated data extraction methods to systematically identify burden, determinants, and the spectrum of at-risk patients to inform population health management. Additionally, the Houston Methodist Cardiovascular Disease Learning Health System (HM CVD-LHS) registry intends to create high-quality data-driven analytical insights to assess, track, and promote cardiovascular research and care. Methods: We conducted a retrospective multi-center, cohort analysis of adult patients who were seen in the outpatient settings of a large healthcare system between June 2016 - December 2022 to create an EMR-based registry. A common framework was developed to automatically extract clinical data from the EMR and then integrate it with the social determinants of health information retrieved from external sources. Microsoft's SQL Server Management Studio was used for creating multiple Extract-Transform-Load scripts and stored procedures for collecting, cleaning, storing, monitoring, reviewing, auto-updating, validating, and reporting the data based on the registry goals. Results: A real-time, programmatically deidentified, auto-updated EMR-based HM CVD-LHS registry was developed with ∼450 variables stored in multiple tables each containing information related to patient's demographics, encounters, diagnoses, vitals, labs, medication use, and comorbidities. Out of 1,171,768 adult individuals in the registry, 113,022 (9.6%) ASCVD patients were identified between June 2016 and December 2022 (mean age was 69.2 ± 12.2 years, with 55% Men and 15% Black individuals). Further, multi-level groupings of patients with laboratory test results and medication use have been analyzed for evaluating the outcomes of interest. Conclusions: HM CVD-LHS registry database was developed successfully providing the listing registry of patients with established ASCVD and those at risk. This approach empowers knowledge inference and provides support for efforts to move away from manual patient chart abstraction by suggesting that a common registry framework with a concurrent design of data collection tools and reporting rapidly extracting useful structured clinical data from EMRs for creating patient or specialty population registries.

Multidimensional Poverty and Risk of Atherosclerotic Cardiovascular Disease: A U.S. National Study.

Background: Poverty is associated with atherosclerotic cardiovascular disease (ASCVD). While poverty can be evaluated using income, a unidimensional poverty metric inadequately captures socioeconomic adversity. Objectives: The aim of the study was to examine the association between a multidimensional poverty measure and ASCVD. Methods: Survey data from the National Health Interview Survey was analyzed. Four poverty dimensions were used: income, education, self-reported health, and health insurance status. A weighted deprivation score (c i ) was calculated for each person. The multidimensional poverty index was computed for various cutoffs, k, for total population, and by ASCVD status. The association between multidimensional poverty and ASCVD was examined using Poisson regression. Area under receiver operator characteristics curve analysis was performed to compare the multidimensional poverty measure with the income poverty measure as a classification tool for ASCVD. Results: Among the 328,164 participants, 55.0% were females, the mean age was 46.3 years, 63.1% were non-Hispanic Whites, and 14.1% were non-Hispanic Blacks. Participants with ASCVD (7.95%) experienced greater deprivation at each multidimensional poverty cutoff, k, compared to those without ASCVD. In adjusted models, higher burden of multidimensional poverty was associated with up to 2.4-fold increased prevalence of ASCVD (c i  = 0.25, adjusted prevalence ratio [aPR] = 1.66, P < 0.001; c i  = 0.50, aPR = 1.99; c i  = 0.75, aPR = 2.29; P < 0.001; c i  = 1.00, aPR = 2.38, P < 0.001). Multidimensional poverty exhibited modestly higher discriminant validity, compared to income poverty (area under receiver operator characteristics = 0.62 vs 0.58). Conclusions: There is an association between the multidimensional poverty and ASCVD. Multidimensional poverty index demonstrates slightly better discriminatory power than income alone. Future validation studies are warranted to redefine poverty's role in health outcomes.

National Trends and Outcomes of Surgical Aortic Valve Replacement With Concomitant Mitral Valve Surgery.

BACKGROUND: Incidence of multivalvular heart disease is increasing, with aortic stenosis and mitral regurgitation being the most common. Data are limited on outcomes of patients undergoing multivalvular surgery. The purpose of this study was to evaluate contemporary trends and in-hospital outcomes for combined surgical aortic valve replacement (SAVR) and mitral valve repair (MVr) or replacement (MVR). METHODS: We identified patient hospitalizations aged ≥18 years who underwent SAVR + MVr or MVR between 2004 and 2018 using the National Inpatient Sample. Data were weighted to estimate national estimates of the entire US hospitalized population. Exclusion criteria included endocarditis, history of heart transplant or left ventricular assist device, and any other concomitant valve surgery. RESULTS: Between January 1, 2004, and December 31, 2018, there were 68,882 weighted admissions for SAVR with concomitant mitral valve surgery. Overall, in-hospital mortality was 8.34% with significantly higher inpatient mortality in SAVR + MVR group compared with SAVR + MVr group (9.91% vs 5.57%, p < 0.001). During the study period, adjusted in-hospital mortality decreased in both SAVR + MVr group (p-trend 0.004) and SAVR + MVR group (p-trend <0.001). Age ≥70 years was associated with higher in-hospital mortality compared to those < 70 years (9.95% vs 6.70%, p < 0.001). CONCLUSION: Combined aortic and mitral valve surgery is associated with a high risk of in-hospital mortality, especially in patients ≥ 70 years of age. Further research is needed to assess the role of transcatheter approaches in the treatment of multivalvular heart disease.

Cardiac Arrest in Young Adults With Ischemic Heart Disease in the United States, 2004-2018.

Cardiac arrest (CA) among young adults (<45 y) with ischemic heart disease (IHD) remained understudied. We evaluated the trends in clinical profile, in-hospital mortality, and health care resource utilization in CA-related hospitalizations among young adults with IHD. National Inpatient Sample (2004-2018) was used to identify adults aged 18-45 years. Of 77,359 weighted CA-related hospitalizations (mean age: 39 [0.05] y; 34.3% women), 65% had a myocardial infarction (MI), and 58% had a shockable rhythm. Between 2004 and 2018, CA-related hospitalizations among young adults with IHD increased from 1.8% to 2.4%. Overall, in-hospital mortality was 36.4%, which was higher for women vs men (40.4% vs 34.2%; P < 0.001) and Black vs White adults (43.9% vs 33.3%; P < 0.001). In-hospital mortality increased from 33.5% to 38.1%, with a consistent upward trend in men, White adults, and both MI and non-MI cases. However, in STEMI (40%), in-hospital mortality decreased from 34.6% to 20.2% (p-trend <0.001), while it increased in NSTEMI (14.8%) from 34.3% to 47.5% (p-trend <0.001). Overall mean length of stay (LOS) (7-9 days) and mean inflation-adjusted care cost ($34,431-$44,646) increased over the study duration. CA-related hospitalizations and associated LOS and inflation-adjusted care costs have increased in the last 15 years. In-hospital mortality increased by ∼5% during the study period with a higher mortality in women and among black adults. While increased CA-related hospitalizations may reflect improved pre-hospital care, greater efforts are needed to address improve in-hospital survival in CA among young adults with IHD.