Cardiac morbidity and operative mortality following lower-extremity amputation: the significance of multiple Eagle criteria

Ann Vasc Surg. 1999 Mar;13(2):204-8. doi: 10.1007/s100169900243.

Abstract

The ability of the Eagle criteria (age >70 years, angina, diabetes, Q wave on EKG, history of congestive heart failure) to predict adverse cardiac events following major vascular surgery has previously been demonstrated. However, the utility of these criteria for lower-extremity amputation is not well established. To determine the value of the Eagle criteria for predicting cardiac morbidity and operative mortality following major lower-extremity amputation, we reviewed 214 consecutive procedures performed at two institutions over a 3-year period. Mean age was 62.7 years and 85% of the patients were male. Diabetes was the most frequent Eagle criterion (74%). The mean number of Eagle criteria was 1.6. Fifty-six percent of the amputations were below the knee, 24% were above the knee, and 20% were guillotine. On multivariate regression analysis, the presence of two or more Eagle criteria (16% vs. 4%, p = 0.04) and decompensated heart failure (39% vs. 7%, p = 0.003) were predictive of adverse cardiac events. The only predictor of postoperative mortality was the presence of two or more Eagle criteria (15% vs. 4%, p = 0.004). Our evaluation of the results of this study led us to conclude that patients requiring major lower-extremity amputation for major vascular disease who have multiple Eagle criteria or decompensated congestive heart failure are at high risk for adverse cardiac events and postoperative death. These findings should be used to guide perioperative cardiac evaluation and therapy.

Publication types

  • Multicenter Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Amputation, Surgical / adverse effects
  • Amputation, Surgical / mortality*
  • Case-Control Studies
  • Female
  • Heart Diseases / epidemiology*
  • Heart Diseases / mortality
  • Hospital Mortality
  • Humans
  • Leg
  • Male
  • Middle Aged
  • Morbidity
  • Predictive Value of Tests
  • Regression Analysis
  • Risk Factors