Abstract 16883: Validation of Readmission Risk Score and Readmission Rate in Heart Failure Patients at a Quaternary Hospital
Background: Heart failure is the most common cause of readmission. Among different methods of identifying patients with risk of readmission, Readmission Risk Calculator® smart phone application developed by Yale New Haven Hospital is simple and easy to identify patients at increased risk for readmission. However, its utility in clinical practice has not been validated.
Methods: We included patients admitted with the primary discharge diagnosis of heart failure, between September, 2010 and August 2012. We compared the clinical and lab characteristics as well as the readmission risk score itself between the patients that were readmitted within 30-days and those did not. T-test and chi-square were used to compared continuous and categorical variables, respectively. An ROC graph was constructed and exploratory analysis was performed to examine a cut-off value for high risk of readmission.
Results: A total of 1044 admissions met the inclusion criteria. Of these 367 were readmitted within 30-days of discharge. Table-1 presents the clinical and laboratory characteristics between the two groups. As shown patients who got readmitted were more likely to have a history of heart failure , coronary artery disease , aortic stenois , as well as lower admission systolic blood pressure , lower plasma sodium level , and lower hematocrit , and higher readmission risk score . Figure 1 shows a Receiver operator curve (ROC) of the risk score. Area under the curve of is 0.61. There was no clear cut-off value to discriminate patients with high risk of readmission.
Conclusion: Patients with CHF readmitted within 30-days had a higher risk score but the clinical utility of this application remains unknown.
- © 2013 by American Heart Association, Inc.