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3-year risk prediction of Coronary Heart Disease in hypertension patients: A preliminary study

Runge Chen, Yujie Yang, Fen Miao

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |October 25, 2017
    PubMed

    Insights

    Hypertension patients face higher risks of coronary heart disease (CHD). This study identified psychological health and sleep quality as significant, non-traditional risk factors for CHD in this population.

    Area of Science:

    • Cardiology
    • Public Health
    • Medical Big Data Analytics

    Background:

    • Hypertension significantly increases morbidity and mortality associated with Coronary Heart Disease (CHD).
    • Identifying specific risk factors for CHD development in hypertensive individuals is crucial for targeted prevention strategies.
    • Existing research often focuses on general populations, leaving a gap in understanding risk factors unique to hypertensive patients.

    Purpose of the Study:

    • To investigate traditional and nontraditional risk factors contributing to Coronary Heart Disease (CHD) in a population with hypertension.
    • To quantitatively assess the predictive value of these risk factors for 3-year CHD events.
    • To provide insights for preventing CHD in hypertensive patients.

    Main Methods:

    • Utilized data from Shenzhen's regional medical big data system, including 3395 hypertension patients (aged 30-79).
    • Employed logistic regression modeling to analyze risk factors and predict 3-year CHD event risk.
    • Assessed traditional factors (age, BMI, diabetes, hyperlipemia, CKD) and nontraditional factors (mental/emotional disorders, sleep disorders).

    Main Results:

    • Traditional CHD risk factors (age, BMI, diabetes, hyperlipemia, chronic kidney disease) remained significant predictors in hypertensive patients.
    • Nontraditional risk factors showed significant associations: emotional/mental disorders (OR 1.54, 95% CI 1.19-2.01) and sleep disorders (OR 1.69, 95% CI 1.21-2.34).
    • The predictive model demonstrated strong discriminative performance with an Area Under the Curve (AUC) of 0.839.

    Conclusions:

    • Psychological health and sleep quality are important, previously underestimated, risk factors for CHD in hypertensive patients.
    • Maintaining psychological well-being and good sleep hygiene may help prevent CHD in individuals with hypertension.
    • Controlling identified traditional and nontraditional risk factors holds substantial potential for preventing CHD in high-risk hypertensive populations.

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