Coronary Artery Disease Scores

Mayo Clinic Risk Score for PCI

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Preprocedural Risk Assessment

Enter the patient's clinical variables before coronary angiography or PCI.

—Total score

Patient characteristics

Patient age at the time of PCI. The published nomogram spans 30–90 years.

years

Used only for the published missing-creatinine adjustment.

Laboratory and cardiac function

Enter mg/dL. Leave blank only if the value is unavailable. Published nomogram range: 0.5–5.0 mg/dL.

mg/dL

Enter percentage. Leave blank only if unavailable. Published nomogram range: 10–80%.

%

Clinical variables

Preprocedural cardiogenic shock

Shock present before the procedure.

Myocardial infarction within 24 hours

Acute MI occurring within 24 hours before PCI.

Congestive heart failure (CHF) on presentation

Count CHF only when the patient is not presenting with MI or cardiogenic shock.

Peripheral artery disease (PAD)

History or documented presence of peripheral vascular disease.

For unknown variables, the published figure specifies no points for unknown risk factors, with separate adjustment rules for unavailable creatinine and LVEF. The calculator applies those rules where applicable.

—Risk score
Estimated in-hospital mortality
—
Model-estimated probability during the index hospitalization

Score breakdown

VariablePoints

About the Mayo Clinic Risk Score

The Mayo Clinic Risk Score (MCRS) described by Singh and colleagues is a preprocedural risk model developed to estimate the probability of in-hospital death after percutaneous coronary intervention (PCI). It uses seven clinical and non-invasive variables available before coronary angiography.

Variables and scoring

  • Age, serum creatinine, and LVEF are converted to integer points using the published nomogram.
  • Preprocedural cardiogenic shock: 9 points.
  • Myocardial infarction within 24 hours: 4 points.
  • CHF on presentation, only without MI or shock: 3 points.
  • Peripheral artery disease: 2 points.

Probability calculation

The published equation is: Log-odds = −6.082 + (0.2883 × total score). The estimated probability is calculated by converting the log-odds using the logistic function: 1 / [1 + exp(−log-odds)] × 100.

Interpretation

The result is a continuous estimate of in-hospital mortality. The original model does not establish universally accepted low-, intermediate-, or high-risk score categories; therefore, this calculator reports the numerical probability without inventing categorical thresholds.

Population and limitations

The score was developed in a Mayo Clinic PCI registry and externally validated in the National Cardiovascular Data Registry. The original model's calibration may vary across populations, eras, and PCI practices. It should not replace contemporary institutional risk models or clinical assessment.

References

Singh M, Rihal CS, Lennon RJ, Spertus J, Rumsfeld JS, Holmes DR Jr. Bedside estimation of risk from percutaneous coronary intervention: the new Mayo Clinic risk scores. Mayo Clinic Proceedings. 2007;82(6):701–708. DOI: 10.4065/82.6.701.
Singh M, Peterson ED, Milford-Beland S, Rumsfeld JS, Spertus JA. Validation of the Mayo clinic risk score for in-hospital mortality after percutaneous coronary interventions using the national cardiovascular data registry. Circulation: Cardiovascular Interventions. 2008;1(1):36–44. DOI: 10.1161/CIRCINTERVENTIONS.107.755991.
Singh M, Gersh BJ, Li S, et al. Mayo Clinic risk score for percutaneous coronary intervention predicts in-hospital mortality in patients undergoing coronary artery bypass graft surgery. Circulation. 2008;117:356–362. DOI: 10.1161/CIRCULATIONAHA.107.711523. This paper reproduces the scoring nomogram and missing-data instructions.
Clinical disclaimer: This calculator provides an estimate from a published prediction model and is intended for use by healthcare professionals. It does not provide a definitive prognosis or determine whether PCI should be performed. Interpret the result alongside the patient's clinical condition, contemporary guidelines, local outcomes, and validated institutional risk-assessment tools.
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