Understanding the Burden of 30-Day Readmission in Patients With Both Primary and Secondary Diagnoses of Heart Failure: Causes, Timing, and Impact of Co-Morbidities

Although efforts to reduce 30-day readmission rates have mainly focused on patients with heart failure (HF) as a primary diagnosis at index hospitalization, patients with HF as a secondary diagnosis remain common, costly, and understudied. This study aimed to determine the incidence, etiology, and patterns of 30-day readmissions after discharge for HF as a primary and secondary diagnosis and investigate the impact of co-morbidities on HF readmission. The National Readmission Database from 2014 to 2016 was used to identify HF patients with a linked 30-day readmission. Patient and hospital characteristics, admission features, and Elixhauser-related co-morbidities were compared between the 2 groups. Readmitted patients in both groups were younger, male, with lower household income, higher mortality risk, and higher hospitalization costs. Over 60% of readmissions were for reasons other than HF, and greater than 1/3 had more than 2 readmissions within 30 days, with a median time to readmission of 12 days. Both cohorts had high readmission rates and high rates of readmission for causes other than HF. Our findings suggest that efforts to reduce 30-day readmission rates should be extended to patients with secondary HF diagnosis, with surveillance extending to 2 weeks postdischarge to identify patients at risk.

Predictors of 30-Day Readmission in Patients Hospitalized With Heart Failure as a Primary Versus Secondary Diagnosis

Short-term rehospitalizations are common, costly, and detrimental to patients with heart failure (HF). Current research and policy have focused primarily on 30-day readmissions for patients with HF as a primary diagnosis at index hospitalization, whereas a much larger population of patients are admitted with HF as a secondary diagnosis. This study aims to compare patients initially hospitalized for HF as either a primary or a secondary diagnosis, and to identify the most important factors in predicting 30-day readmission. Patients admitted with HF between 2014 and 2016 in the Nationwide Readmissions Database were included and divided into 2 cohorts: those admitted with a primary and secondary diagnosis of HF. Multivariable logistic regression was performed to predict 30-day readmission. Statistically significant predictors in multivariable logistic regression were used for dominance analysis to rank these factors by relative importance. Co-morbidities were the major driver of increased risk of 30-day readmission in both groups. Individual Elixhauser co-morbidities and the Elixhauser co-morbidity indexes were significantly associated with an increase in 30-day readmission. The 5 most important predictors of 30-day readmission according to dominance analysis were age, Elixhauser co-morbidity indexes of co-morbidity complications and readmission, number of diagnoses, and renal failure. These 5 factors accounted for 68% of the 30-day readmission risk. Measures of patient co-morbidities were among the strongest predictors of readmission risk. This study highlights the importance of expanding predictive models to include a broader set of clinical measures to create better-performing models of readmission risk for HF patients.

Updates in heart failure 30-day readmission prevention

Heart failure (HF) and HF 30-day readmission rates have been a major focus of efforts to reduce health care cost in the recent era. Since the implementation of the Affordable Care Act (ACA) in 2012 and the Hospital Readmission Reduction Program (HRRP), concerted efforts have focused on reduction of 30-day HF readmissions and other admission diagnoses targeted by the HRRP. Hospitals and organizations have instituted wide-ranging programs to reduce short-term readmissions, but the data supporting these programs is often mixed. In this review, we will discuss the challenges associated with reducing HF readmissions and summarize the rationale and effect of specific programs on HF 30-day readmission rates, ranging from medical therapy and adherence to remote hemodynamic monitoring. Finally, we will review the effect that the focus on reducing 30-day HF readmissions has had on the care of the HF patient.

Clinical Overlap Between Myopericarditis and Stress Induced Cardiomyopathy: A Diagnostic and Therapeutic Challenge

Patient: Female, 47

Final Diagnosis: Stress induced cardiomyopathy

Symptoms: Chest pain

Medication: —

Clinical Procedure: Catch • echo

Specialty: Cardiology

Impaired right ventricular reserve predicts adverse cardiac outcomes in adults with congenital right heart disease

Objective

The prevalence of heart failure (HF) among adult patients with congenital heart disease (ACHD) is rising. Right ventricle (RV) exercise reserve and its relationship to outcomes have not been characterised. We aim to evaluate the prognostic impact of impaired RV reserve in an ACHD population referred for cardiopulmonary exercise testing (CPET).

Methods

This retrospective study evaluates patients with ACHD who underwent CPET (n=147) with first-pass radionuclide ventriculography at a single tertiary care centre. RV reserve was categorised as normal, mild to moderately or severely impaired. The primary composite clinical outcome included clinical right HF, arrhythmia, transplantation or death.

Results

Patients were median age 41±13 years, 50% were female and median follow-up was 1.1 (IQR: 0.7–2.0) years. Exercise RV reserve was impaired in 103 patients (70%), of whom 32% were asymptomatic. Resting RV systolic function poorly predicted RV reserve, with 52% of patients with severe impairment having a qualitatively normal echocardiographic assessment. The severely impaired reserve group had lower peak oxygen consumption (VO2)(17.2 vs 22.5 mL/kg/min, p<0.0001) compared with the normal reserve group, and was more likely to develop the composite outcome (48% vs 9%, log-rank p<0.001). Severely impaired RV reserve predicted event-free survival after adjusting for peak VO2, age, sex, RV pathology, QRS duration, New York Heart Association class, resting RV ejection fraction and RV dilation by echocardiography or MRI (HR 3.7, 95% CI 1.1 to 13.0, p=0.039).

Conclusion

Impaired RV reserve, occurred in asymptomatic patients, was not well predicted by resting systolic function assessment, and strongly predicted adverse cardiovascular outcomes.

Assessing mitral regurgitation in the prediction of clinical outcome after cardiac resynchronization therapy

BACKGROUND

Cardiac resynchronization therapy (CRT) has been shown to reduce mitral regurgitation (MR), although the clinical impact of this improvement remains uncertain.

OBJECTIVES

We sought to evaluate the impact of MR improvement on clinical outcome after CRT and to assess predictors and mechanism for change in MR.

METHODS

This was a cohort study of patients undergoing CRT for conventional indications with baseline and follow-up echocardiography (at 6 months). MR severity was classified into 4 grades. The primary end point was time to all-cause death or time to first heart failure (HF) hospitalization assessed at 3 years.

RESULTS

A total of 439 patients were included: median age was 70.2 years, 90 (20.5%) were women, 255 (58.1%) with ischemic cardiomyopathy, and mean QRS width was 162 ms. Worsening severity of baseline MR was independently predictive of HF or all-cause mortality (hazard ratio 1.33; 95% confidence interval 1.01-1.75; P = .042). Reduction in MR after CRT was significantly associated with lower HF hospitalization and improved survival (hazard ratio 0.65; 95% confidence interval 0.49-0.85; P = .002). Degree of baseline MR and longer surface QRS to left ventricular lead time were significant predictors of MR change. Patients with MR reduction exhibited lower mitral valve tenting area (P < .001) and coaptation height (P < .001) than those with stable or worsening MR, suggestive of improved ventricular geometry as a mechanism for change in MR.

CONCLUSION

Degree of baseline MR and change in MR after CRT predicted all-cause mortality and HF hospitalization at 3 years. Longer surface QRS to left ventricular lead time at implant may be a means to target MR improvement.