Clinical inputs
Understand the result,
not just the number.
Cleveland Clinic Risk Model: Explanation and Clinical Context The Cleveland Clinic Risk Model is a validated tool used to estimate the risk of major adverse cardiac events or mortality in patients undergoing cardiac surgery. It incorporates patient-specific variables including age, sex, history of heart failure, serum creatinine, and urgency of surgery to calculate a logistic regression-based probability. The model provides a quantitative estimate of perioperative cardiac risk, aiding clinicians in preoperative risk stratification, shared decision-making, and planning for perioperative management.
A higher calculated percentage indicates a greater predicted risk, which may inform the need for intensified monitoring, optimization of medical therapy, or alternative surgical strategies.
- Source 1
O'Connor GT, et al. Multivariable prediction of perioperative cardiac risk for patients undergoing cardiac surgery. Circulation. 1992;85(3): 816-827. doi:10.1161/01.CIR.85.3.816
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