Gupta Perioperative Cardiac Risk Model
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Provides a risk estimate of perioperative myocardial infarction or cardiac arrest
Gupta Perioperative Cardiac Risk Model was developed from a prospective database of patients undergoing surgery identified from the American College of Surgeons’ 2007 National Surgical Quality Improvement Program (NSQIP) database.
The database was used to determine risk factors associated with perioperative myocardial infarction or cardiac arrest (MICA). Among 257,385 patients included in the analysis, 0.65 percent developed perioperative MICA.
On multivariate logistic regression analysis, five factors were identified as predictors of MI or cardiac arrest:
- Type of surgery
- Dependent functional status
- Abnormal creatinine
- American Society of Anesthesiologists’ (ASA) class
The risk model had a relatively high predictive accuracy (C statistic of 0.874) and outperformed the Revised cardiac risk index (RCRI) (C statistic of 0.747).
Detailed information regarding Gupta Perioperative Cardiac Risk Model methodology and risk calculator modeling can be found in the original article.
|1.||Gupta PK, Gupta H, Sundaram A, et al. Development and validation of a risk calculator for prediction of cardiac risk after surgery. Circulation. 2011;124(4):381-7. Full text|
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Developer: Sirikarn Napan, MD, FACC