Guideline decision tool · Cardiology
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Gupta Perioperative Cardiac Risk MICA (framework) — free guideline decision tool

The Gupta Perioperative Cardiac Risk (MICA) model predicts the probability of 30-day postoperative myocardial infarction or cardiac arrest using five preoperative factors and a procedure-specific logistic regression. This page frames the inputs and threshold and links to the official calculator.

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Computed locally — no data uploaded. For licensed clinicians.
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Guideline-based

Implements the decision logic from published clinical guidelines.

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Runs in your browser

No installation. Enter the patient's values and get a guideline recommendation instantly.

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Data stays local

Nothing is uploaded. Results are for licensed clinicians only.

Common questions

What does Gupta Perioperative Cardiac Risk MICA (framework) do?

Use in preoperative cardiac risk assessment, alongside RCRI and functional capacity, to decide whether further cardiac testing is warranted. A predicted risk ≥ 1% commonly triggers additional evaluation.

How is the result calculated?

x = 0.02×age + functional-status coefficient + ASA coefficient + creatinine coefficient + procedure coefficient − 5.25; risk = eˣ/(1+eˣ). The −5.25 intercept and 0.02 age coefficient are published; per-procedure coefficients are numerous, so use the official calculator for the precise value.

Is this a substitute for clinical judgement?

No. All results are decision-support only, for licensed clinicians. They must be individualized to the whole patient and the latest guideline version.

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Run Gupta Perioperative Cardiac Risk MICA (framework) now

The Gupta Perioperative Cardiac Risk (MICA) model predicts the probability of 30-day postoperative myocardial infarction or cardiac arrest using five preoperative factors and a procedure-specific logistic regression. This page frames the inputs and threshold and links to the official calculator.

Open guideline tool →

For licensed clinicians. Not a substitute for clinical judgement.

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For use by licensed clinicians and clinical researchers. Computed locally in your browser — no data is uploaded. Not a substitute for clinical judgement.