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Prediction of the population at risk for atherothrombotic disease

William E Feeman1

  • 1The Bowling Green Study of the Primary and Secondary Prevention of Atherothrombotic Disease.

Experimental and Clinical Cardiology
|July 31, 2009
PubMed

Insights

Predicting atherothrombotic disease (ATD) risk is highly accurate using cholesterol retention fraction (CRF) and systolic blood pressure (SBP). Cigarette smoking further refines ATD risk prediction in this study.

Area of Science:

  • Cardiovascular Medicine
  • Public Health
  • Biostatistics

Background:

  • Atherothrombotic disease (ATD) poses a significant health burden.
  • Accurate prediction of ATD risk is crucial for preventative strategies.

Purpose of the Study:

  • To evaluate the accuracy of predicting ATD risk using key risk factors.
  • To establish a predictive model based on cholesterol retention fraction (CRF) and systolic blood pressure (SBP).

Main Methods:

  • Utilized the Bowling Green Study database.
  • Developed a global risk factor graph plotting CRF against SBP.
  • Defined a threshold line on the CRF-SBP plot to categorize risk levels.

Main Results:

  • Eighty-five percent of ATD patients were identified above the CRF-SBP threshold line.
  • Most patients below the threshold were cigarette smokers.
  • Only 6% of ATD cases remained unpredictable by these combined factors.

Conclusions:

  • CRF and SBP are highly effective predictors of ATD risk.
  • Cigarette smoking status further refines ATD risk stratification.
  • This model offers a powerful tool for identifying populations at high risk for ATD.

Keywords:
Atherothrombotic diseaseCholesterol thresholdGlobal risk factor graphSystolic blood pressure

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