Author + information
- Uvesh Mansuri,
- Smit Patel,
- Neel Patel,
- Rajvee Patel,
- Ronak Soni,
- Mohit Pahuja,
- Dhara Patel and
- Vinshi Naz Khan
Background: The national estimates of 30-day readmission in AMI (acute myocardial infarction) patients are unknown in the United States (US). Our objective is to identify 30-day readmission rates, causes, predictors, and financial burden of readmission in the AMI patients.
Methods: We used national readmission dataset (NRD 2013), a subset of Healthcare Cost and Utilization Project (HCUP) to analyze the 30-day readmission estimates from January to December 2013 after excluding the elective readmission. The AMI patients were identified by ICD-9 diagnosis code 410. Logistic Regression analysis was used to identify independent predictors of unplanned 30-day readmission after adjusting for the stratified cluster design of NRD. The cost of readmission was calculated by multiplying total charges with the cost to charge ratio provided by HCUP.
Results: The NRD contained 206,970 unique AMI patients with 212,644 admissions (weighted N = 478,487) in 2013. The all-cause 30-day readmission rate was 13.4%. The multivariate predictors for 30-day readmission and top causes of rehospitalization in acute MI patients are shown in table 1. The total cost of unplanned 30-day readmission in AMI patients was approximately $854 million for 2013.
Conclusion: Reducing all causes 30-day unplanned readmission rates will improve outcomes of MI patients and lower the financial weight on the social insurance framework in the US.
Poster Hall, Hall C
Saturday, March 18, 2017, 3:45 p.m.-4:30 p.m.
Session Title: Acute Coronary Syndromes, Diagnosis, Management and Outcomes
Abstract Category: 2. Acute and Stable Ischemic Heart Disease: Clinical
Presentation Number: 1253-327
- 2017 American College of Cardiology Foundation