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

Author:

Chen Jun12ORCID,Lyu Lingchun1,Shen Jiayi1,Pan Yuesong3,Jing Jing3,Wang Yong-Jun3,Wei Tiemin1

Affiliation:

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

2. Department of Cardiology, First Clinical Medical College, Zhejiang Chinese Medical University , Hangzhou, Zhejiang , China

3. Department of Neurology, Beijing Tiantan Hospital , Beijing , China

Abstract

Abstract Background and aims Due to the ageing global population, calcified aortic valve disease is currently the most common cardiac valve disorder. This study aimed to investigate the prevalence and the risk factors for calcified aortic valve stenosis (CAVS), and develop a prediction model for predicting CAVS risk. Methods and results This study was derived from the cross-sectional baseline survey of the PRECISE study (NCT03178448). The demographic, clinical and laboratory information of each participant was obtained. Univariable and multivariable logistic regression models were used to determine CAVS risk factors. A prediction model for predicting CAVS risk based on risk factors was developed and the result was performed by nomogram. The discrimination of the prediction model was assessed by receiver operating characteristic curve analysis. The degree of fitting for the prediction model was assessed by calibration curve analysis. A total of 3067 participants (1427 men and 1640 women) were included. The prevalence of CAVS among those aged below 60 years old, 60–70 years old and over 70 years old was 4.1%, 10.3% and 21.9%, respectively. Multivariable regression analysis revealed that age (OR: 1.099; 95% CI: 1.076 to 1.123, p<0.001), pulse pressure (OR: 1.020; 95% CI: 1.009 to 1.031, p<0.001), uric acid (OR: 1.003; 95% CI: 1.001 to 1.004, p<0.001), glycosylated haemoglobin (HbA1c) (OR: 1.152; 95% CI: 1.028 to 1.292, p=0.015) and lipoprotein(a) (OR: 1.002; 95% CI: 1.001 to 1.002, p<0.001) were independent risk factors for CAVS. High-density lipoprotein cholesterol (HDL-C) was a protective factor for CAVS (OR: 0.539; 95% CI: 0.349 to 0.831, p=0.005). The prediction model including the above risk factors showed a risk prediction of CAVS with good discrimination. The area under the curve value was found to be 0.743 (95% CI: 0.711 to 0.775). Conclusion CAVS is currently prevalent in the elderly Chinese population. Age, pulse pressure, HbA1c, lower-level HDL-C, lipoprotein(a) and uric acid are the independent risk factors for CAVS.

Funder

National Natural Science Foundation of China

Zhejiang public welfare technology research project

Lishui public welfare project

Publisher

Oxford University Press (OUP)

Subject

General Medicine

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