Prediction of myocardial infarction using coronary risk scores among Japanese male workers: 3M Study

Area of Science:

• Cardiovascular Disease Epidemiology
• Preventive Cardiology

Background:

• The predictive value of coronary risk factors for myocardial infarction (MI) in Japanese populations remains insufficiently understood.
• Understanding these factors is crucial for developing targeted preventive strategies.

Purpose of the Study:

• To investigate the contribution of various coronary risk factors to the prediction of myocardial infarction (MI) in Japanese middle-aged male workers.
• To identify key modifiable risk factors for MI in this demographic.

Main Methods:

• A nested case-control study was conducted within the Morbidity of Myocardial Infarction Multicenter Study in Japan (3M Study) from 1997 to 2000.
• Two hundred four myocardial infarction cases were analyzed against two age-matched controls per case.
• Conditional logistic regression models were used to calculate odds ratios and construct risk predictive models.

Main Results:

• High LDL-cholesterol (OR 2.33), low HDL-cholesterol (OR 4.16), and current smoking (OR 2.95) were significantly associated with increased myocardial infarction risk.
• Excluding high LDL-cholesterol, low HDL-cholesterol, and current smoking substantially reduced the predictive value of the MI risk models.
• High blood pressure and high triglycerides showed moderate associations with MI risk.

Conclusions:

• High LDL-cholesterol, low HDL-cholesterol, and current smoking are significant predictors of myocardial infarction in Japanese middle-aged male workers.
• These lipid parameters and smoking status are vital components for accurate MI risk prediction in this population.
• Targeting these modifiable risk factors may reduce the incidence of myocardial infarction.