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Abstract 242: Incidence, Predictors, Causes, and Costs for 30-day Readmission After In-Hospital Cardiopulmonary Resuscitation Discharge in United States

Authors :
Yusuke Morita
Tetsuya Haruna
Yoshisumi Haruna
Eisaku Nakane
Yuhei Yamaji
Hideyuki Hayashi
Michiya Hanyu
Moriaki Inoko
Source :
Circulation. 138
Publication Year :
2018
Publisher :
Ovid Technologies (Wolters Kluwer Health), 2018.

Abstract

Background: Readmissions after in-hospital cardiopulmonary resuscitation (ICPR) are common and contribute to increased health care utilization and costs. This is the first study to estimate the burden and patterns of 30-day readmission after ICPR from Nationwide Readmission Database (NRD). Methods and Results: Patients undergoing ICPR (International Classification of Diseases-Ninth Revision-Clinical Modification codes 99.60 and 99.63) between January and November 2014 from NRD were included. Incidence, predictors, causes, and costs of 30-day readmission were analyzed using discharge weights to obtain national estimates. Among estimated 27278 index admissions survived to hospital discharges after ICPR, 5439 (20.0%) were readmitted within 30 days. Length of stay (LOS) ≧15 days during index hospitalization (hazard ratio [HR], 1.29; 95% confidence interval [CI], 1.16-1.42), Medicare or Medicaid insurance (HR, 1.34; 95% CI, 1.19-1.51), heart failure (HR, 1.2; 95% CI, 1.1-1.32), and discharge of metropolitan teaching hospital (HR, 1.19; 95% CI, 1.07-1.33) were independent predictors of 30-day readmission. Among 5439 readmissions, Sepsis (13.7%), heart failure (10.8%), respiratory failure (6.4%), and cardiac dysrhythmias (5.2%) were the most common causes. Estimated total costs of readmission were $102 million and mean of $19122 ±30201, which is accounted for 25.7% of total episode of care (index+readmission). The mean LOS was 8.0 ±10.5 days. The patients with readmission revealed high mortality rate of 10.1%. Conclusions: Thirty-day readmissions after ICPR are frequent and are related to baseline comorbidities and hospital characteristics. Awareness of these predictors can help identify and target high-risk patients for interventions, to reduce readmissions and costs.

Details

ISSN :
15244539 and 00097322
Volume :
138
Database :
OpenAIRE
Journal :
Circulation
Accession number :
edsair.doi...........f29859d3efeb9805ff0d4ea04303b046
Full Text :
https://doi.org/10.1161/circ.138.suppl_2.242