Preoperative Risk Score for Mortality Within 3 Years of Elective Aortobifemoral Artery Bypass

Bailey Damore1, Jericho Hallare1, Pranav Akhand1

  • 1Loyola University Chicago, Stritch School of Medicine, Loyola University Health System, Division of Vascular Surgery and Endovascular Therapy, Maywood, IL.

PubMed

Insights

A new risk score predicts three-year mortality after aorto-bifemoral bypass surgery for aorto-iliac occlusive disease. This tool aids physicians in selecting optimal surgical approaches for individual patients, improving outcomes.

Area of Science:

  • Vascular Surgery
  • Cardiovascular Medicine
  • Health Outcomes Research

Background:

  • Aorto-iliac arterial occlusive disease necessitates surgical intervention, often via aorto-bifemoral bypass.
  • Predicting long-term mortality after such procedures is crucial for patient management and treatment selection.
  • Existing risk stratification tools may not fully capture preoperative factors influencing outcomes.

Purpose of the Study:

  • To develop and validate a predictive risk score for three-year mortality following elective aorto-bifemoral artery bypass.
  • To identify key preoperative clinical variables associated with increased mortality risk.
  • To aid clinical decision-making regarding surgical strategy for aorto-iliac occlusive disease.

Main Methods:

  • Utilized data from 5912 patients in the Vascular Quality Initiative (VQI).
  • Multivariable Cox regression analysis identified significant predictors of three-year mortality (P < .05).
  • A weighted risk score was constructed, incorporating factors like non-metropolitan residence, female sex, low BMI, diabetes, CHF, ESRD, renal insufficiency, anemia, ischemic rest pain, and distal anastomosis site characteristics.
  • Machine learning (ML) analysis, including XG Boost, was performed for comparative accuracy.

Main Results:

  • Key predictors of mortality included non-metropolitan residence, female sex, high disadvantage index, low BMI, young age (<40), non-insulin dependent diabetes, CHF, ESRD on dialysis, renal insufficiency, anemia, ischemic rest pain, and need for outflow endarterectomy.
  • Mortality risk significantly escalated with increasing risk score; patients with scores >16 had a 43.8% three-year mortality rate compared to 2.6% for negative scores.
  • The risk score demonstrated good model accuracy (92.1%) and strong internal validation within the VQI dataset, with ML methods like XG Boost showing high predictive power (AUC .843).

Conclusions:

  • A validated risk score accurately predicts three-year mortality after elective aorto-bifemoral bypass using preoperative variables.
  • This tool can assist physicians in selecting appropriate surgical interventions (open reconstruction, endovascular therapy, or extra-anatomic bypass) based on individual patient risk profiles.
  • The findings support the use of this risk score for enhanced clinical decision-making in managing aorto-iliac occlusive disease.
Abstract

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