About the Gupta MICA (Perioperative Cardiac Risk) Score
The Gupta MICA calculator estimates the probability that a patient will have a myocardial infarction (heart attack) or cardiac arrest within 30 days of surgery. Published by Gupta and colleagues in Circulation in 2011, the model was derived and validated on more than 200,000 patients in the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) database. It uses five preoperative variables that are almost always known before surgery, which is why it is widely cited alongside the Revised Cardiac Risk Index as a preoperative cardiac risk tool.
How the score is built
The model is a logistic regression. Each variable contributes a fixed point value, all five are summed with a constant, and that sum is converted into a probability:
- Age: contributes 0.02 points per year.
- Functional status: 0 points if totally independent, 0.65 if partially dependent, 1.03 if totally dependent on others for daily activities.
- ASA physical status class: ranges from -5.17 for ASA I (healthy) to 0 for ASA V (moribund) — each higher class adds more points because it reflects more severe baseline illness.
- Serum creatinine: 0 points if 1.5 mg/dL or below, 0.61 if above 1.5 mg/dL, or -0.10 if not measured.
- Procedure type: each of the 21 published surgical categories carries its own point value, from -1.61 for breast surgery to 1.6 for aortic surgery, reflecting how much cardiac stress that category of operation typically places on the body.
The five contributions are added together with a constant of -5.25 to get a linear predictor, x. The predicted risk is then 100 x e^x / (1 + e^x) — the standard logistic transformation that turns any linear predictor into a probability between 0% and 100%.
Putting the result in context
In the original validation, a risk estimate at or above roughly 1% is often treated as an elevated signal worth discussing further, while most low-risk outpatient-type procedures fall well under 1%. These are population-level estimates from the NSQIP derivation cohort — they describe the average outcome for patients with similar inputs, not a guarantee for any one person, and they do not replace a full preoperative cardiac evaluation.
When to consult a professional
This tool performs the published Gupta MICA arithmetic for education and planning. It does not diagnose, does not select anesthesia technique, and does not decide whether further cardiac testing is needed. Any decision about preoperative workup or surgical risk should be made with the surgical, anesthesia, and (when relevant) cardiology team, who can weigh the score alongside the full history and planned procedure.