Importance of Predictors of Rehospitalisation in Heart Failure: A Survey of Heart Failure Experts

Association Between Nurse-Led Multidisciplinary Education and Cardiac Events in Patients With Heart Failure: A Retrospective Chart Review

PURPOSE

This study examined the modifiable factors, including nurse-led multidisciplinary education and in/out-of-hospital rehabilitation, to predict cardiac events in patients with heart failure (HF) in South Korea.

METHODS

A retrospective review of the medical records was conducted using data of patients admitted for HF between June 2021 and April 2022. A total of 342 patients were included in this study. Information related to HF education, cardiac rehabilitation, and demographic and clinical characteristics were collected. Cardiac events, including emergency department visits, readmissions, and deaths, were defined as a composite of events. After adjusting for covariates, a multivariate Cox proportional hazard regression model was used to explore the association between modifiable factors and cardiac events in patients with HF.

RESULTS

During the follow-up period (median, 823 days), 123 patients (36.0%) experienced at least one cardiac event. In the Cox regression model, patients who received nurse-led multidisciplinary HF education during hospitalization were less likely to experience cardiac events (hazard ratio: 0.487; 95% confidence interval [CI]:0.239-0.993). Additionally, high NT-pro BNP levels were associated with an increased risk of cardiac events.

CONCLUSIONS

The education led by nurses on HF was a factor that reduced adverse prognoses in patients with HF. Our results highlight the importance of a nurse-led multidisciplinary approach during hospitalization.

Risk factors for 30-day readmission in patients with congestive heart failure

BACKGROUND

Risk of readmission is elevated in patients congestive heart failure (CHF), and clinical decision makers need to better understand risk factors for 30-day readmissions.

OBJECTIVE

To identify risk factors for readmission in patients with CHF.

METHODS

We studied all admissions for patients with CHF during 2011 using a statewide discharge data set from Pennsylvania. The primary outcome was readmission to any Pennsylvania hospital within 30 days of discharge.

RESULTS

Of 155,146 CHF patients admitted, 35,294 (22.8%) were readmitted within 30 days. Male sex, black race, coverage by Medicare, comorbidities, discharge to a skilled nursing facility or with a home nurse, a longer length of stay (LOS), admission from another facility, and emergent admission (all p < 0.001) were significant risk factors.

CONCLUSIONS

Comorbidities, sociodemographic factors including male sex, age, black race and Medicare coverage, and prolonged length of stay are associated with increased risk of readmission in patients with CHF.

Patient and clinical characteristics that heighten risk for heart failure readmission

BACKGROUND

Within 30 days of hospital discharge, heart failure (HF) readmission rates nationally accumulate to more than 20%. Due to this high rate of unplanned re-hospitalization, predictive models are needed to identify patients who pose the highest readmission risk.

OBJECTIVE

To evaluate the diagnosis and timing and to identify patient and clinical characteristics associated with 30 day readmissions among HF patients.

METHODS

A retrospective analysis of electronic health records was conducted to study HF admissions during the period October 2008 to November 2014. Patients with a primary discharge diagnosis consistent with HF were included. Descriptive statistics were used to compare the readmitted and non-readmitted cohorts. Logistic regression was used to develop a predictive model to determine patient and clinical variables associated with 30 day readmission.

RESULTS

Characteristics of the study cohort (n = 2420) are: a mean age of 72, predominantly male (55%), white (55%), currently not employed (91%), and utilizing Medicare as a payer (68%). Overall, 42% were married. Over the study time period there were 394 (16.3%) 30 day readmissions after 2420 hospitalizations. The 3 most common reasons for readmission were HF (36.0%), renal disorders (8.4%), and other cardiac diseases (6.9%). Analysis showed that 11.9% of patients readmitted during days 0-3, 15.2% during days 4-7, 31.5% during days 8-15, and 41.4% during days 16-30. The final multivariate predictive model included 5 variables that were associated with an increased risk for 30-day readmission: employment status as retired or disabled, > 1 emergency department visit in the past 90 days, length of stay >5 days during index visit, and a BUN value > 45 mg/dL.

CONCLUSION

This study provides a deeper understanding of patient and clinical characteristics that are associated with readmission in HF. Evaluation of these characteristics will provide additional information to guide strategies meant to reduce HF readmission rates.