🫀 Gupta Perioperative Cardiac Risk MICA (framework)
UseUse in preoperative cardiac risk assessment, alongside RCRI and functional capacity, to decide whether furthe…
SourceGupta PK, et al. Development and Validation of a Risk Calculator for Prediction of Cardiac Risk Aft…
This-shift next steps
After scoring: open the scene pack, peer scores, and the matching pathway. Local reference — no HIS write.
Paste the link in Slack, Teams, X, or LinkedIn — the preview image comes from this page’s Open Graph card.
Methodology · worked example, guidelines & full notes
Because per-procedure coefficients dominate the result and are numerous, this tool deliberately lists the five inputs and a threshold rather than outputting an invented probability. (original synthesis · not guideline verbatim)
When to use
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 it works
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.
Key points
- Because per-procedure coefficients dominate the result and are numerous, this tool deliberately lists the five inputs and a threshold rather than outputting an invented probability. (original synthesis · not guideline verbatim)
- The five inputs are age, ASA class, functional status, serum creatinine > 1.5 mg/dL, and procedure category.
- Published examples span ~0.08% (low-risk young ASA II) to ~30% (elderly ASA V dependent, pancreaticoduodenectomy), illustrating how procedure weight drives risk.
References
Worked calculation
The values below come from this tool's own example placeholders and are computed server-side with the formula shown on this page, so the arithmetic can be checked quickly. It demonstrates how to substitute values only — it is not clinical advice and not a real case.
| Age | 65 yr |
|---|---|
| ASA class | III |
| Functional status | Partially dependent |
| Serum creatinine > 1.5 mg/dL (> 133 μmol/L) | Yes/elevated |
| Procedure category (e.g. aortic/brain/peripheral vascular/pancreaticoduodenal) | Intermediate (e.g. abdominal/orthopedic/urologic) |
→Gupta MICAReference framework (use official calculator)
- Nature：Gupta MICA uses logistic regression to convert 5 preoperative factors into a 30-day MI/cardiac-arrest probability; the model contains per-procedure coefficients (high-risk procedures such as aortic carry far greater weight than e.g. breast). The per-procedure coefficients are numerous, so to avoid fabricating a precise probability this tool lists the required 5 items and provides the official calculator; it does not output a computed result
- Model structure：x = 0.02×age + functional-status coefficient + ASA coefficient + creatinine coefficient + procedure coefficient − 5.25; risk = eˣ/(1+eˣ). Intercept −5.25 and age coefficient 0.02 are published; for the remaining coefficients (especially per-procedure) defer to the official source
- Threshold：A predicted risk ≥ 1% is generally used as the trigger threshold for further cardiac evaluation (combined with RCRI, functional capacity, guidelines)
Verification & sources · governance
FAQ
Frequently asked questions
- What are the limits and cautions when using Gupta Perioperative Cardiac Risk MICA (framework)?
- For licensed clinicians and clinical researchers. Interpret results with history, investigations and local protocols; not a diagnosis or prescription, and not a substitute for multidisciplinary decision-making or local guidelines.
- Does Gupta Perioperative Cardiac Risk MICA (framework) upload patient data? Where is it calculated?
- Calculation runs locally in the browser; inputs and results are not uploaded. For licensed clinicians only; interpret with history, investigations and local protocols — not a diagnosis or prescription.