期刊论文详细信息
BMC Cardiovascular Disorders
Increased arterial pressure volume index and cardiovascular risk score in China
Research
Mengjiao Zhang1  Liping Liu2  Lin Jin3  Mengmeng Cao4  Cuiqin Shen4  Lanyue Tong4  Qingqing Chen4  Lei Sha4  Zhaojun Li5  Lianfang Du6 
[1] Department of Medical Imaging, Weifang Medical University, 261053, Weifang, Shandong, China;Department of Ultrasound, First Hospital of Shanxi Medical University, 030001, Taiyuan, Shanxi, China;Department of Ultrasound, Guanghua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, 200052, Shanghai, China;Department of Ultrasound, First Hospital of Shanxi Medical University, 030001, Taiyuan, Shanxi, China;Department of Ultrasound, Shanghai General Hospital Jiading Branch, Shanghai Jiaotong University School of Medicine, 201803, Shanghai, China;Department of Ultrasound, Shanghai General Hospital Jiading Branch, Shanghai Jiaotong University School of Medicine, 201803, Shanghai, China;Department of Ultrasound, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, 100 Haining Road, Hongkou District, 200080, Shanghai, China;Department of Ultrasound, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, 100 Haining Road, Hongkou District, 200080, Shanghai, China;
关键词: Arterial stiffness;    Cardiovascular disease;    Arterial pressure volume index;    Risk assessment;   
DOI  :  10.1186/s12872-022-03035-4
 received in 2022-08-25, accepted in 2022-12-30,  发布年份 2022
来源: Springer
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【 摘 要 】

Background and objectiveThe new non-invasive arterial stiffness indices, arterial pressure volume index (API) is explored as a novel marker of residual stress in the wall of the peripheral muscular arteries at zero-stress state in clinical settings. The present study aimed to study the association of API with cardiovascular disease (CVD) risk in China (China-PAR).MethodsAccording to China-PAR score, participants were divided into three groups: low risk (< 5%), medium risk (5–9.9%), and high risk (≥ 10.0%). API ≥ 31 was defined as high API, and the incidences of high API were compared. Logistic regression models were used to analyze the risk factors of high API and high risk China-PAR categories. The association between China-PAR and API was analyzed by restrictive cubic spline.ResultsThe study included 4311 participants. After adjustments for confounding factors, high API was independent factor associated with high risk China-PAR categories, and the probability of high API was 1.366 times higher than that in normal API subjects. While, the independent factors associated with high API were BMI, blood pressure and heart rate. Furthermore, API had a significant U-shaped association with China-PAR. CVD risk was lowest with API of 19 units, the fastest increase at 26 units and the flattest starting point at 59 units.ConclusionAPI, an indicator of arterial stiffness and residual stress, had a U-shaped association with China-PAR score and might play an important role in predicting CVD risk in Chinese natural populations.

【 授权许可】

CC BY   
© The Author(s) 2023

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