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Updated: Jan 30, 2026

A New Murine Model of Endovascular Aortic Aneurysm Repair
Published on: July 7, 2013
Predicting Postoperative Destination Through Preoperative Evaluation in Elective Open Aortic Aneurysm Repair
Laura T Boitano1, James C Iannuzzi2, Adam Tanious1
1Division of Vascular and Endovascular Surgery, Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts.
Predicting nonhome discharge after open abdominal aortic aneurysm repair is possible using preoperative factors. Older age, partial dependence, female sex, bleeding disorders, and longer operative times increase risk, but do not correlate with complications.
Area of Science:
- Vascular Surgery
- Health Services Research
Background:
- Limited data exist for preoperative counseling regarding discharge destination after open abdominal aortic aneurysm repair (OAR).
- Identifying patients at risk for nonhome discharge (NHD) is crucial for resource allocation and patient expectations.
Purpose of the Study:
- To determine preoperative predictors for nonhome discharge (NHD) following elective open abdominal aortic aneurysm repair (OAR).
Main Methods:
- A retrospective analysis of the National Surgical Quality Improvement Program Vascular Procedure Targeted database (2011-2015).
- Inclusion of patients undergoing elective OAR.
- Multivariable logistic regression to identify preoperative factors associated with NHD, defining complex surgery as high operative time.
Main Results:
- Out of 510 patients, 17.1% required NHD.
- Independent predictors for NHD included age ≥70 years, partial dependence, female sex, history of bleeding disorder, and high operative time.
- NHD was not associated with increased major postdischarge complications or unplanned readmissions.
Conclusions:
- Preoperative factors such as age, functional status, sex, bleeding disorder history, and operative complexity can predict NHD after OAR.
- NHD following OAR does not appear to increase the risk of major postdischarge complications or readmissions.
- Understanding these predictors can improve preoperative counseling and patient expectation management.
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