How is the TIMI (Thrombolysis In Myocardial Infarction) risk score calculated?

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Last updated: September 15, 2026 • View editorial policy

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TIMI Risk Score Calculation

TIMI Risk Score for NSTE-ACS (Non-ST-Elevation Acute Coronary Syndromes)

The TIMI risk score for unstable angina/NSTEMI is calculated by assigning 1 point for each of 7 baseline variables present, then summing them to create a simple arithmetic score ranging from 0-7 1, 2, 3.

The 7 Variables (1 point each):

  1. Age ≥65 years
  2. ≥3 risk factors for coronary artery disease (hypertension, diabetes, hyperlipidemia, family history, current smoking)
  3. Prior coronary stenosis ≥50% (known CAD)
  4. ST-segment deviation ≥0.5 mm on presenting ECG
  5. ≥2 anginal events in prior 24 hours (severe anginal symptoms)
  6. Use of aspirin in prior 7 days
  7. Elevated serum cardiac biomarkers (troponin or CK-MB)

Risk Stratification and Outcomes:

The score directly correlates with 14-day risk of death, MI, or severe recurrent ischemia requiring urgent revascularization 1, 3:

  • Score 0-1: 4.7% event rate
  • Score 2: 8.3% event rate
  • Score 3: 13.2% event rate
  • Score 4: 19.9% event rate
  • Score 5: 26.2% event rate
  • Score 6-7: 40.9% event rate

Clinical Application:

This scoring system should be used at presentation for all patients with suspected NSTE-ACS to guide therapeutic decision-making 1. The score has been validated across multiple international trials and demonstrates that higher-risk patients (scores ≥4) derive greater benefit from aggressive therapies including low-molecular-weight heparins, glycoprotein IIb/IIIa inhibitors, and early invasive strategies 2, 3.


TIMI Risk Score for STEMI (ST-Elevation Myocardial Infarction)

For STEMI patients eligible for fibrinolysis, a different TIMI risk score exists using 10 baseline variables weighted according to their prognostic importance, creating a score that predicts 30-day mortality 4. This score shows a >40-fold graded increase in mortality from lowest to highest risk categories and captures 97% of the predictive capacity of complex multivariable models while remaining clinically practical at the bedside 4.

Professional Medical Disclaimer

This information is intended for healthcare professionals. Any medical decision-making should rely on clinical judgment and independently verified information. The content provided herein does not replace professional discretion and should be considered supplementary to established clinical guidelines. Healthcare providers should verify all information against primary literature and current practice standards before application in patient care. Dr.Oracle assumes no liability for clinical decisions based on this content.