Impact of a dedicated center for atrial fibrillation on resource utilization and costs.

BACKGROUND: Atrial fibrillation (AF) affects millions of Americans each year and can lead to high levels of resource utilization through emergency department (ED) visits and inpatient stays. HYPOTHESIS: We hypothesized that referral of patients to a dedicated Center for AF from the ED would reduce costs of care. METHODS: The University of Pittsburgh Center for AF serves as a rapid referral center for patients with AF to avoid unnecessary inpatient admissions and provide specialized care. Patients that presented to the ED with AF and met prespecified criteria were directed to rapid outpatient follow-up instead of inpatient admission. The primary outcome of interest was 30-day total costs. Secondary outcomes included outpatient costs, inpatient costs, 90-day costs, and inpatient stay characteristics. RESULTS: We identified 96 patients (median age 65, 38% women) referred to the center for AF for a new diagnosis of AF between October 2017 and December 2019 and matched 96 control patients. After 30 days of follow-up, patients referred to the center for AF had a lower average cost ($619 vs. $1252, p < 0.001) compared to controls, driven by lower costs of ED care tempered by slightly higher outpatient costs. Thirty-day admissions and lengths of stay were also lower. These differences were persistent at 90 days. CONCLUSION: Directing patients with AF that present to the ED to follow-up at a dedicated Center for AF significantly reduced overall costs, while reducing subsequent inpatient admissions and total lengths of stay in the hospital.

Outcomes of Blacks Versus Whites with Cardiomyopathy.

Racial disparities in health outcomes have been widely documented in medicine, including in cardiovascular care. While some progress has been made, these disparities have continued to plague our healthcare system. Patients with cardiomyopathy are at an increased risk of death and cardiovascular hospitalizations. In the present analysis, we examined the baseline characteristics and outcomes of black and white men and women with cardiomyopathy. All patients with cardiomyopathy (left ventricular ejection fraction (LVEF) < 50%) cared for at University of Pittsburgh Medical Center (UPMC) between 2011 and 2017 were included in this analysis. Patients were stratified by race, and outcomes were compared between Black and White patients using Cox proportional hazard models. Of a total of 18,003 cardiomyopathy patients, 15,804 were white (88%), 1,824 were black (10%) and 375 identified as other (2%). Over a median follow-up time of 3.4 years, 7,899 patients died. Black patients were on average a decade younger (p <0.001) and demonstrated lower unadjusted all-cause mortality (hazard ratio [HR]: 0.83%; 95% CI 0.77 to 0.90; p < 0.001). However, after adjusting for age and other comorbidities, black patients had higher all-cause mortality compared to white patients (HR: 1.15, 95% CI 1.07 to 1.25; p < 0.001). These differences were seen in both men (HR:1.19, 95% CI 1.08 to 1.33; p < 0.001) and women (HR:1.12, 95% CI 0.99 to 1.25; p = 0.065). In conclusion, our data demonstrate higher all-cause mortality in black compared to white men and women with cardiomyopathy. These findings are likely explained, at least in part, by significantly higher rates of comorbidities in black patients. Earlier interventions targeting these comorbidities may mitigate the risk of progression to heart failure and improve outcomes.

Association of sex, age and education level with patient reported outcomes in atrial fibrillation.

BACKGROUND: In atrial fibrillation (AF), there are known sex and sociodemographic disparities in clinical outcomes such as stroke. We investigate whether disparities also exist with respect to patient-reported outcomes. We explored the association of sex, age, and education level with patient-reported outcomes (AF-related quality of life, symptom severity, and emotional and functional status). METHODS: The PaTH AF cohort study recruited participants (N = 953) with an AF diagnosis and age ≥ 18 years across 4 academic medical centers. We performed longitudinal multiple regression with random effects to determine if individual characteristics were associated with patient-reported outcomes. RESULTS: Women reported poorer functional status (ß - 2.23, 95% CI: -3.52, - 0.94) and AF-related quality of life (ß - 4.12, 95% CI: -8.10, - 0.14), and higher symptoms of anxiety (ß 2.08, 95% CI: 0.76, 3.40), depression (ß 1.44, 95% CI: 0.25, 2.63), and AF (ß 0.29, 95% CI: 0.08, 0.50). Individuals < 60 years were significantly (p < 0.05) more likely to report higher symptoms of depression, anxiety, and AF, and poorer AF-related quality of life. Lack of college education was associated with reporting higher symptoms of AF (ß 0.42, 95% CI: 0.17, 0.68), anxiety (ß 1.86, 95% CI: 0.26, 3.45), and depression (ß 1.11, 95% CI: 0.15, 2.38), and lower AF-related quality of life (ß - 4.41, 95% CI: -8.25, - 0.57) and functional status. CONCLUSION: Women, younger adults, and individuals with lower levels of education reported comparatively poor patient-reported outcomes. These findings highlight the importance of understanding why individuals experience AF differently based on certain characteristics.