Examining Risk: A Systematic Review of Perioperative Cardiac Risk Prediction Indices
Douglas E Wright1, Steven J Knuesel1, Amulya Nagarur1
1Core Educator Faculty, Department of Medicine, Massachusetts General Hospital, Boston.
Insights
This systematic review analyzed cardiac risk indices for noncardiac surgery patients. Combining high-accuracy and broad-range indices, alongside clinical judgment, aids perioperative cardiac risk assessment.
Area of Science:
- Cardiology
- Anesthesiology
- Evidence-Based Medicine
Background:
- Assessing perioperative cardiac risk is crucial for patients undergoing noncardiac surgery.
- Numerous cardiac risk indices exist, but their clinical utility and accuracy vary.
- Physicians require guidance on selecting appropriate risk assessment tools.
Purpose of the Study:
- To systematically review cardiac risk indices for noncardiac surgery.
- To provide evidence-based recommendations for clinical use.
- To enhance perioperative cardiac risk assessment.
Main Methods:
- Systematic literature search (1999-2018) across major databases (MEDLINE, PubMed, Embase, CINAHL, Web of Science).
- Inclusion of studies developing models for cardiac complications post-noncardiac surgery.
- Citation chaining to identify additional relevant publications.
Main Results:
- Eleven risk indices involving over 2.9 million patients were analyzed.
- Key predictors of adverse cardiac outcomes include heart failure, surgery type, creatinine, diabetes, stroke history, and emergency status.
- Advancing age, ASA physical status, functional status, and hypertension are also significant risk factors.
Conclusions:
- Cardiac risk indices generally fall into high-accuracy/narrow-outcome or lower-accuracy/broad-outcome categories.
- A combination of indices from both groups may offer the most clinical utility.
- Clinical judgment remains essential for comprehensive perioperative cardiac risk assessment.
Objective:
To conduct a systematic review of published cardiac risk indices relevant to patients undergoing noncardiac surgery and to provide clinically meaningful recommendations to physicians regarding the use of these indices.
Methods:
A literature search of articles published from January 1, 1999, through December 28, 2018, was conducted in Ovid (MEDLINE), PubMed, Embase, CINAHL, and Web of Science. Publications describing models predicting risk of cardiac complications after noncardiac surgery were included and citation chaining was used to identify additional studies for inclusion.
Results:
Eleven risk indices involving 2,910,297 adult patients were included in this analysis. Studies varied in size, population, quality, risk of bias, outcome event definitions, risk factors identified, index outputs, accuracy, and clinical usefulness. Studies considered 6 to 83 variables to develop their models. Among the identified models, the factors with the highest predictiveness for adverse cardiac outcomes included congestive heart failure, type of surgery, creatinine, diabetes, history of stroke or transient ischemic attack, and emergency surgery. Substantial data from the large studies also supports advancing age, American Society of Anesthesiology physical status classification, functional status, and hypertension as additional risks.
Conclusion:
The risk indices identified generally fell into two groups - those with higher accuracy for predicting a narrow range of cardiac outcomes and those with lower accuracy for predicting a broader range of cardiac outcomes. Using one index from each group may be the most clinically useful approach. Risk factors identified varied widely among studies. In addition to judicious use of predictive indices, reasoned clinical judgment remains indispensable in assessing perioperative cardiac risk.
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