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Global Registry of Acute Coronary Events 2.0

Global2003Acute Coronary Syndrome

Overview

Risk model for predicting 6-month mortality in patients with acute coronary syndromes.

Clinical Use

Risk stratification in acute coronary syndrome patients

Risk Output

6-month mortality risk (%)

Risk Factors

Age
Heart Rate
Systolic BP
Creatinine
Killip Class
Cardiac Arrest
ST Deviation
Elevated Enzymes

Validation

Developed from GRACE registry with over 15,000 patients

Limitations

Designed for hospital use, not primary prevention

Clinical Guidelines

ESC NSTEMI/STEMI Guidelines

Python Usage

class="operator"><span <span class="keyword">class</span>="import">from</span> cvd_risk <span <span class="keyword">class</span>="import">import</span> GRACE2, PatientData

patient class="operator">= PatientData(
    ageclass="operator">=<span class="number">65</span>,
    sexclass="operator">=<span <span class="keyword">class</span>="string">'male'</span>,
    heart_rateclass="operator">=<span class="number">90</span>,
    systolic_bpclass="operator">=<span class="number">120</span>,
    creatinineclass="operator">=<span class="number">1.2</span>,
    killip_classclass="operator">=<span class="number">2</span>,
    cardiac_arrestclass="operator">=<span class="keyword">False</span>,
    st_deviationclass="operator">=<span class="keyword">True</span>,
    elevated_enzymesclass="operator">=<span class="keyword">True</span>
class="bracket">)

model class="operator">= GRACE2()
result class="operator">= model.<span class="function">calculate</span>(patient)
class="operator"><span class="function">print</span>(f<span <span class="keyword">class</span>="string">"<span class="number">6</span>-month mortality risk: {result.risk_score:.1f}%"</span>)

Model Information

Model Name:

GRACE2

Publication Year:

2003

Region:

Global

Category:

Acute Coronary Syndrome