Predictors of All-Cause 30-Day Readmissions in Patients with Heart Failure at an Urban Safety Net Hospital: The Importance of Social Determinants of Health and Mental Health.

Introduction: Heart failure (HF) is a frequent cause of readmissions. Despite caring for underresourced patients and dependence on government funding, safety net hospitals frequently incur penalties for failing to meet pay-for-performance readmission metrics. Limited research exists on the causes of HF readmissions in safety net hospitals. Therefore, we sought to investigate predictors of 30-day all-cause readmission in HF patients in the safety net setting. Methods: We performed a retrospective chart review of patients admitted for HF from October 2018 to April 2019. We extracted data on demographics and medical comorbidities and performed patient-specific review of social determinants and mental health in 4 domains: race/ethnicity, housing status, substance use, and mental illness. Multivariable Poisson regression modeling was employed to evaluate associations with 30-day all-cause readmission. Results: The study population included 290 patients, among whom the mean age was 59 years and 71% (n = 207) were male; 42% (120) were Black/African American (AA), 22% (64) were Hispanic/Latino, and 96% (278) had public insurance; 28% (79) were not housed, 19% (56) had a diagnosis of mental illness, and active substance use was common. The 30-day readmission rate was 25.5% (n = 88). Factors that were associated with increased risk of readmission included self-identifying as Black/AA (relative risk 2.28, 95% confidence interval 1.00-5.20) or Hispanic/Latino (2.53, 1.07-6.00), experiencing homelessness (2.07, 1.21-3.56), living in a shelter (3.20, 1.27-8.02), or intravenous drug use (IVDU) (2.00, 1.08-3.70). Conclusion: Race/ethnicity, housing status, and substance use were associated with increased risk of 30-day all-cause readmission in HF patients in a safety net hospital. In contrast to prior studies, medical comorbidities were not associated with increased risk of readmission.

Effect of a Novel, Evidence-Based, Standardized Discharge Checklist on 30-Day All-Cause Readmissions in Patients Hospitalized for Heart Failure in an Urban Safety Net Hospital.

Safety net hospitals frequently incur financial penalties for high readmission rates. Heart failure (HF) is a common driver of readmissions, but effectively lowering readmission rates in patients with HF has proved challenging. There are few evidence-based interventions validated within safety net systems. Between October 2018 and April 2019, we implemented an evidence-based discharge checklist. We evaluated the hypothesis that it would reduce 30-day all-cause readmissions in patients admitted for HF at an urban safety net hospital. We retrospectively compared all-cause 30-day readmission rates between the cohort discharged using the checklist and historical controls. Demographics were similar between the intervention (n = 103) and control (n = 187) groups and reflected the diverse and vulnerable population cared for in the safety net. The mean age was 60 years, 71% were male, 42% were Black, 22% were Hispanic/Latinx, 28% were not housed, 35% used illicit stimulants, and 73% had a left ventricular ejection fraction ≤40%. Use of the checklist was associated with a 12.4% absolute reduction in the 30-day readmission rate (29.9% vs 17.5%, p = 0.02). The intervention group was more likely to be discharged on appropriate guideline-directed medical therapy for reduced systolic function, including ß blockers (93% vs 73%, p = 0.0004), angiotensin-converting enzyme inhibitor/angiotensin receptor blockers (92% vs 66%, p <0.0001) and mineralocorticoid receptor antagonists (50% vs 27%, p = 0.0007). Multivariable analysis demonstrated that using the discharge checklist was associated with a lower risk of 30-day all-cause readmission (risk ratio 0.54, 0.33 to 0.90). Therefore, a low-cost, novel, evidence-based discharge checklist significantly reduced 30-day all-cause readmission rates in patients hospitalized for HF at a safety net hospital.

Atrial arrhythmia prevalence and characteristics for human immunodeficiency virus-infected persons and matched uninfected controls.

BACKGROUND: Human Immunodeficiency Virus-Infected (HIV+) persons have elevated risks for various manifestations of cardiovascular disease (CVD). No studies to our knowledge have compared atrial fibrillation (AF) and atrial flutter (AFL) prevalence and associated characteristics for HIV+ persons and matched uninfected controls. METHODS AND FINDINGS: Persons with diagnoses of HIV receiving care at a large urban academic medical center were frequency-matched 1:2 on age, sex, race, zip code, and clinic location with uninfected persons. Possible AF/AFL was screened for using administrative codes and diagnoses of AF/AFL were subsequently adjudicated using electrocardiography and physician notes; adjudication was performed given the inconsistent validity of administrative code-derived AF diagnoses found in previous studies. There were 101 confirmed AF/AFL cases (2.00%) among 5,052 HIV+ patients and 159 confirmed AF/AFL cases (1.57%) among 10,121 uninfected controls [Odds Ratio (OR) 1.27, 95% Confidence Interval (CI) 0.99-1.64; p = 0.056]. The association between HIV serostatus and AF/AFL was attenuated after adjustment for demographics and CVD risk factors. Among HIV+ persons, nadir CD4+ T cell count <200 cells/mm3 was associated with approximately twofold elevated odds of AF/AFL even after adjustment for demographics and CVD risk factors (Multivariable-adjusted OR 1.98, 95% CI 1.21-3.25). There was no significant association between log10 of peak HIV viral load and AF/AFL (Multivariable-adjusted OR 1.03, 95% CI 0.86-1.24). Older age, diabetes, hypertension, and chronic obstructive pulmonary disease were associated with similarly elevated odds of AF/AFL for HIV+ persons and uninfected controls. CONCLUSION: HIV-related immunosuppression (nadir CD4 T cell count <200 cells/mm3) and traditional CVD risk factors are associated with significantly elevated odds of AF/AFL among HIV+ persons. Although atrial fibrillation and flutter was more common among HIV+ versus uninfected persons in this cohort, this difference was attenuated by adjustment for demographics and CVD risk factors.

Adjudicated Heart Failure in HIV-Infected and Uninfected Men and Women.

Background HIV is associated with elevated risk of heart failure ( HF ). Despite poor agreement between automated, administrative code-based HF definitions and physician-adjudicated HF , no studies have evaluated incident adjudicated HF for people living with HIV ( PLWH ). Methods and Results We analyzed PLWH and uninfected controls receiving care in an urban medical system from January 1, 2000, to July 12, 2016. Physicians reviewed data from medical records to adjudicate HF diagnoses. We used multivariable-adjusted Cox models to analyze incident HF for PLWH versus controls and HIV -related factors associated with incident HF . We also analyzed the performance of automated versus physician-adjudicated HF definitions. Incident adjudicated HF occurred in 97 of 4640 PLWH (2.1%; mean: 6.8 years to HF ) and 55 of 4250 controls (1.3%; mean: 6.7 years to HF ; multivariable-adjusted hazard ratio: 2.10; 95% confidence interval, 1.38-3.21). Among PLWH , higher HIV viral load ( hazard ratio per log10 higher time-updated viral load: 1.22; 95% confidence interval, 1.11-1.33) was associated with greater HF risk and higher CD 4+ T cell count was associated with lower HF risk ( hazard ratio per 100 cells/mm3 higher time-updated CD 4 count: 0.80; 95% confidence interval, 0.69-0.92). In exploratory analyses, the most accurate automated HF definitions had sensitivities of 67% to 75% and positive predictive values of 54% to 60%. Conclusions In a cohort with rigorous HF adjudication, PLWH had greater risks of HF than uninfected people after adjustment for demographics and cardiovascular risk factors. Higher HIV viral load and lower CD 4+ T cell count were associated with higher HF risk among PLWH . Automated methods of HF ascertainment exhibited poor accuracy for PLWH and uninfected people.

Clinical characteristics of HIV-infected patients with adjudicated heart failure.

Aims HIV-infected persons may have elevated risks for heart failure, but factors associated with heart failure in the modern era of HIV therapy are insufficiently understood. Despite substantial disagreement between physician-adjudicated heart failure and heart failure diagnosis codes, few studies of HIV cohorts have evaluated adjudicated heart failure. We evaluated associations of HIV viremia, immunosuppression, and cardiovascular risk factors with physician-adjudicated heart failure. Methods and results We analyzed clinical characteristics associated with heart failure in a cohort of 5041 HIV-infected patients receiving care at an urban hospital system between 2000 and 2016. We also evaluated characteristics of HIV-infected patients who screened negative for heart failure, screened positive for possible heart failure but did not have heart failure after adjudication, and had adjudicated heart failure. HIV-infected patients with heart failure ( N = 216) were older and more likely to be black, hypertensive, and have diabetes than HIV-infected patients without heart failure; heart failure with reduced ejection fraction was more common than heart failure with preserved ejection fraction. In our primary analyses restricted to HIV-infected patients whose heart failure diagnoses did not precede their HIV diagnoses ( N = 149), peak HIV viral load ≥100,000 copies/mL (odds ratio (OR) 2.12, 1.28-3.52) and nadir CD4 T-cell count <200 cells/mm3 (OR 2.35, 1.04-5.31) were associated with significantly elevated odds of heart failure. Overall, 30.6% of patients with any diagnosis code of heart failure had adjudicated heart failure. Conclusion Higher peak HIV viremia and lower CD4 cell nadir are associated with significantly elevated odds of heart failure for HIV-infected persons. Physician adjudication of heart failure may be helpful in HIV cohorts.