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INTERHEART Study

Global2004Global Risk Assessment

Overview

A global case-control study that identified nine modifiable risk factors that account for over 90% of the risk of myocardial infarction worldwide.

Clinical Use

Global cardiovascular risk assessment across all populations

Risk Output

Population-attributable risk for myocardial infarction

Risk Factors

Smoking
Abnormal Lipids
Hypertension
Diabetes
Abdominal Obesity
Stress
Low Fruit/Vegetable Intake
Regular Alcohol
Lack of Physical Activity

Validation

52 countries, 15,152 cases and 14,820 controls

Limitations

Focuses on myocardial infarction rather than total CVD

Clinical Guidelines

WHO CVD Risk Management Package

Python Usage

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

patient class="operator">= PatientData(
    ageclass="operator">=<span class="number">55</span>,
    sexclass="operator">=<span <span class="keyword">class</span>="string">'male'</span>,
    smokingclass="operator">=<span class="keyword">True</span>,
    abnormal_lipidsclass="operator">=<span class="keyword">True</span>,
    hypertensionclass="operator">=<span class="keyword">True</span>,
    diabetesclass="operator">=<span class="keyword">True</span>
class="bracket">)

model class="operator">= INTERHEART()
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">"Risk factors present: {result.risk_score}"</span>)

Model Information

Model Name:

INTERHEART

Publication Year:

2004

Region:

Global

Category:

Global Risk Assessment