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Surgical Swine Model of Chronic Cardiac Ischemia Treated by Off-Pump Coronary Artery Bypass Graft Surgery
Published on: March 27, 2018
Predictors of readmission for complications of coronary artery bypass graft surgery
Edward L Hannan1, Michael J Racz, Gary Walford
1Department of Health Policy, Management, and Behavior, School of Public Health, University at Albany, State University of New York, Albany 12144-3456, USA. elh03@health.state.ny.us
Coronary artery bypass graft (CABG) readmissions within 30 days are common, often due to infection or heart failure. Older age, comorbidities, and specific provider factors increase this risk.
Area of Science:
- Cardiovascular Surgery
- Health Services Research
Background:
- Perioperative mortality after coronary artery bypass graft (CABG) surgery is well-studied.
- Factors influencing early readmissions post-CABG remain less clear.
Purpose of the Study:
- To identify significant predictors of 30-day readmission following CABG surgery.
- To understand the causes and associated risk factors for early CABG readmissions.
Main Methods:
- A retrospective analysis of 16,325 patients undergoing CABG in New York from 1999-2000.
- Investigated patient demographics, preoperative risk factors, complications, operative/postoperative factors, and provider characteristics.
- Examined causes for readmission within 30 days of discharge.
Main Results:
- 12.9% of patients were readmitted within 30 days post-CABG.
- Most common readmission causes were postsurgical infection (28%) and heart failure (16%).
- Eleven risk factors, including older age, female sex, African American race, greater body surface area, recent myocardial infarction, and six comorbidities, were associated with higher readmission rates. Provider characteristics (low surgeon volume, high hospital mortality rate) and postoperative factors (discharge to facility, prolonged length of stay) also predicted readmission.
Conclusions:
- Thirty-day readmission is a significant adverse outcome after CABG.
- Readmission rates can potentially supplement mortality data in assessing provider quality.
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