Novel risk score model for prediction of survival following elective endovascular abdominal aortic aneurysm repair

Albeir Y. Mousa*, Joseph Bozzay, Mike Broce, Michael Yacoub, Patrick A. Stone, Aravinda Najundappa, Mark C. Bates, Ali F. AbuRahma

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

15 Scopus citations


Objective: The purpose of this study was to identify significant predictors of long-term mortality after elective endovascular abdominal aortic aneurysm repair (EVAR). Methods: We included all cases with elective EVAR based on a national data set from the Society for Vascular Surgery Patient Safety Organization. Clinical and anatomic variables were analyzed with a Kaplan-Meier and Cox-regression model to determine predictors of mortality and develop a score equation to categorize patients into low, medium, and high long-term mortality risk. Results: A total of 5678 patients with EVAR were included with an average age of 73.6 ± 8.2 years. The majority were male (81.6%) with a history of smoking (86.1%). There were 3 deaths within 30 days (0.1%). Several factors were associated with poor survival: unstable angina (hazard ratio [HR], 2.8; P =.008), dialysis (HR, 3.7; P <.001), estimated glomerular filtration rate (eGFR) <30 (HR, 1.7; P =.044), eGFR 30 to 59 (HR, 1.4; P =.002), age >80 (HR, 3.2; P <.001), age 75 to 79 (HR, 2.2; P <.001), chronic obstructive pulmonary disease on oxygen (HR, 3.3; P <.001), aortic diameter >5.8 cm (HR, 1.2; P =.043), and high risk for surgery (HR, 1.4; P =.043). Preoperative aspirin use and body mass index 25 to 35 were both found to be protective (HR, 0.78; P =.017 and HR, 0.8; P =.024, respectively). With our scoring model, 5- and 10-year survival rates for patients with low, medium, and high risk were 89.2%, 80.7%, and 64.1% and 77.2%, 60.1%, and 40.1%, respectively (P <.001). Conclusion: Ten-year survival following EVAR in patients with a high-risk score utilizing the model provided was 40.1%. Patients with multiple comorbidities at risk for decreased long-term survival can be identified with our model, which is more applicable for high-volume contemporary institutions.

Original languageEnglish
Pages (from-to)261-269
Number of pages9
JournalVascular and Endovascular Surgery
Issue number4
StatePublished - May 2016
Externally publishedYes


  • AAA
  • aneurysm
  • endovascular
  • model
  • mortality
  • prediction
  • risk
  • surgery
  • survival
  • vascular


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