Patient and Aneurysm Characteristics Predicting Prolonged Length of Stay After Elective Open AAA Repair in the Endovascular Era.

INTRODUCTION

Open aortic aneurysm repair (AAA) repair can be resource intensive and associated with a prolonged length of stay (LOS). We sought to examine patient and aneurysm predictors of prolonged LOS to better identify those at risk in the preoperative setting.

METHODS

Patient data were obtained from the targeted AAA American College of Surgery National Surgical Quality Improvement Program database from 2012 to 2014 of patients undergoing open AAA repair. Multivariable logistic regression was used to determine predictors of prolonged postoperative LOS defined as greater than 10 days (75th percentile).

RESULTS

There were 1172 open AAA repairs identified. The majority (54%) of patients were older than 70 years and male (74%). Surgical approach was transperitoneal (70.9%) and retroperitoneal (29.1%). Aneurysms were 51.4% infrarenal, 33% juxtarenal, 5.7% pararenal, 7.4% suprarenal, and 2.5% type IV thoracoabdominal. Mean and median LOS were 9.1 ± 7.4 and 7 (0-72) days, respectively. Independently associated with extended LOS factors were visceral revascularization (odds ratio [OR]: 5.32, 95% confidence interval [CI]: 2.77-10.22, P < .001), type IV thoracoabdominal extent (OR: 3.09, 95% CI: 1.01-9.46, P = .048), suprarenal extent (OR: 1.89, 95% CI: 1.07-3.34, P = .029) and juxtarenal (OR: 1.43, 95% CI: 1.01-2.02, P = .004), non-Caucasian race (OR: 2.80, 95% CI: 1.77-4.41, P < .001), chronic obstructive pulmonary disease (OR: 1.76, 95% CI: 1.20-2.59, P = .004), not-from-home admission (OR: 1.91, 95% CI: 1.13-3.24), and age greater than 70 (OR: 1.49, 95% CI: 1.08-2.05, P = .014).

CONCLUSION

We identified patient and aneurysm characteristics independently associated with protracted LOS following open AAA repair. Prospective identification of high-risk patients may allow physicians and hospitals to engage in multidisciplinary collaborations preoperatively to try to improve LOS in this resource-intensive population.