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ACC/AHA guidelines as predictors of postoperative cardiac outcomes
M J Ali1, P Davison, W Pickett
1Department of Anaesthesia, Queens University, Toronto, Ontario, Canada. mja@post.queensu.ca
Insights
The American College of Cardiology - American Heart Association (ACC-AHA) guidelines effectively predict adverse cardiac events after non-cardiac surgery. Medical predictors showed high sensitivity, while surgical risks offered greater specificity.
Area of Science:
- Cardiology
- Perioperative Medicine
- Clinical Risk Stratification
Background:
- The American College of Cardiology - American Heart Association (ACC-AHA) recently released guidelines for preoperative cardiovascular evaluation.
- These guidelines include an algorithm for assessing patients undergoing non-cardiac surgery.
- Accurate prediction of adverse cardiac events is crucial for patient safety.
Purpose of the Study:
- To evaluate the ACC-AHA guidelines' ability to predict adverse cardiac events within seven days post-surgery.
- To compare the predictive power of medical clinical predictors versus surgical risk factors for cardiac events.
Main Methods:
- Retrospective review of 119 cardiology and anesthesia consultations.
- Patients were categorized based on ACC-AHA medical predictor and surgical risk groups.
- Logistic regression analysis quantified associations between predictors and cardiac outcomes (myocardial infarction, ischemia, angina, heart failure, arrhythmia, death, or surgery cancellation).
Main Results:
- Diabetes, Canadian Cardiovascular Class (CCS) III or IV angina, and recent myocardial infarction (MI) were significant predictors.
- Combined medical predictors and surgical risks achieved 93% sensitivity and 46-51% specificity.
- Medical predictors alone demonstrated 87-89% sensitivity, while surgical risks alone showed 89% specificity.
Conclusions:
- Medical predictors within the ACC-AHA scheme are highly sensitive for identifying patients at risk of adverse post-operative cardiac events.
- Surgical risk factors are more specific in predicting these events.
- Further prospective studies are recommended to validate these findings.
Purpose:
Recently, the American College of Cardiology - American Heart Association (ACC-AHA) published guidelines and an associated algorithm for preoperative cardiovascular evaluation of patients undergoing non-cardiac surgery. Our purpose was to (i) test guideline's ability to predict adverse cardiac events within seven days after surgery, (ii) determine whether medical clinical predictors or surgical risks was a better predictor of cardiac events.
Methods:
Retrospective review of 119 cardiology and anesthesia consultations over 15 mo, ending March 31, 1998. Patients were classified into their respective medical clinical predictor and surgical risk groups, as outlined in ACC-AHA guidelines. Associations between the medical predictor and surgical risk scores and adverse cardiac outcomes were quantified via multiple logistic regression analysis. Two outcomes were employed. Outcome I, included: myocardial infarction/ischemia; angina; congestive heart failure, arrhythmia or death. Outcome 2 expanded the definition to include "cancellation of surgery due to cardiac risk" as a negative cardiac outcome.
Results:
Diabetes, Canadian Cardiovascular Class (CCS) III or IV angina, and MI within six months before surgery were strongly associated with the two cardiac outcomes. For outcome 1 and 2, medical predictors and surgical risks, considered simultaneously, performed with a sensitivity of 93% and specificity of 46-51%. When considered separately, major clinical medical predictors had a sensitivity of 87-89%, while surgical risks showed a specificity of 89% in predicting the two outcomes.
Conclusion:
Medical predictors in ACC-AHA classification scheme were highly sensitive whereas surgical risks were more specific in predicting adverse post-operative cardiac events. Prospective study is needed to confirm these observations.