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Epidemiological study of calcified aortic valve stenosis in a Chinese community population

Jun Chen1,2, Lingchun Lyu1, Jiayi Shen1

  • 1Department of Cardiology, Lishui Central Hospital and Fifth Affiliated Hospital of Wenzhou Medical College, Lishui, Zhejiang, China.

Postgraduate Medical Journal
|April 28, 2023
PubMed

Insights

Calcified aortic valve stenosis (CAVS) is common in older adults. Key risk factors include age, pulse pressure, HbA1c, uric acid, and lipoprotein(a), while HDL-C is protective.

Area of Science:

  • Cardiovascular Medicine
  • Epidemiology
  • Geriatrics

Background:

  • Calcified aortic valve disease is the most prevalent cardiac valve disorder, particularly in an aging global population.
  • Calcified aortic valve stenosis (CAVS) represents a significant health concern requiring investigation into its prevalence and risk factors.

Purpose of the Study:

  • To determine the prevalence of CAVS in a Chinese population.
  • To identify independent risk factors associated with CAVS.
  • To develop and validate a predictive model for CAVS risk.

Main Methods:

  • Cross-sectional baseline survey of 3067 participants from the PRECISE study.
  • Logistic regression models (univariable and multivariable) to identify CAVS risk factors.
  • Development of a prediction model using a nomogram, assessed by ROC curve and calibration analysis.

Main Results:

  • CAVS prevalence increased with age: 4.1% ( <60), 10.3% (60-70), and 21.9% ( >70).
  • Independent risk factors identified: age, pulse pressure, uric acid, glycosylated hemoglobin (HbA1c), and lipoprotein(a).
  • High-density lipoprotein cholesterol (HDL-C) was found to be a protective factor.
  • The prediction model demonstrated good discrimination (AUC = 0.743).

Conclusions:

  • CAVS is highly prevalent in the elderly Chinese population.
  • Age, pulse pressure, HbA1c, lower HDL-C, lipoprotein(a), and uric acid are significant independent risk factors for CAVS.
  • The developed prediction model offers a valuable tool for assessing CAVS risk.
Abstract

Keywords:
cardiac epidemiologycardiologyepidemiologyrisk managementvalvular heart disease

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