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Related Experiment Videos

Ruptured abdominal aortic aneurysms: selecting patients for surgery.

S E Prance1, Y G Wilson, C M Cosgrove

  • 1Vascular Surgical Unit, Derriford Hospital, Plymouth, U.K.

European Journal of Vascular and Endovascular Surgery : the Official Journal of the European Society for Vascular Surgery
|March 4, 1999
PubMed
Summary

This study validates a model predicting mortality in ruptured abdominal aortic aneurysm (RAAA) patients. Identifying high-risk factors preoperatively can guide surgical decisions, potentially reducing suffering and improving resource allocation.

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Area of Science:

  • Vascular Surgery
  • Surgical Outcomes Research
  • Aortic Aneurysm Management

Background:

  • Mortality rates for ruptured abdominal aortic aneurysms (RAAA) remain critically high.
  • Surgical intervention for RAAA presents ethical challenges when patients have a poor prognosis.
  • A previously proposed model identified five preoperative risk factors for RAAA mortality.

Purpose of the Study:

  • To independently validate a predictive model for patient selection in ruptured abdominal aortic aneurysm (RAAA) surgery.
  • To assess the efficacy of preoperative risk stratification in RAAA management.
  • To determine the impact of identified risk factors on operative mortality.

Main Methods:

  • Retrospective analysis of a consecutive series of patients undergoing RAAA surgery.

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  • Inclusion of five preoperative risk factors: advanced age, elevated creatinine, low hemoglobin, loss of consciousness, and ischemic ECG changes.
  • Recording of 30-day operative mortality and the presence of each risk factor.

    • Main Results:

    • Operative mortality for RAAA was 43% in the studied cohort (n=69).
    • Mortality increased cumulatively with the number of risk factors: 18% (0 factors), 28% (1 factor), and 48% (2 factors).
    • All patients (eight) with three or more risk factors experienced fatal outcomes.

    Conclusions:

    • The findings support the validity of the predictive model for RAAA patient selection.
    • Applying this model may help avoid futile surgery, reducing patient suffering and optimizing resource utilization.
    • Preoperative risk stratification can significantly impact RAAA management and outcomes.