Chen Jianxiong, Jin Lin, Sha Lei, Cao Mengmeng, Du Lianfang, Li Zhaojun, Luo Xianghong
Department of Ultrasound, Shanghai General Hospital of Nanjing Medical University, 200080 Shanghai, China.
Department of Ultrasound, Mindong Hospital Affiliated to Fujian Medical University, 355000 Ningde, Fujian, China.
Rev Cardiovasc Med. 2024 Aug 16;25(8):289. doi: 10.31083/j.rcm2508289. eCollection 2024 Aug.
Arterial pressure volume index (API) offers a non-invasive measurement of brachial artery residual stress. This study investigated API distribution characteristics and correlations with cardiovascular disease risk (CVD) factors in a large Chinese population sample.
This cross-sectional study surveyed a total of 7620 participants. We analyzed the relationships between API and factors influencing CVD, using regression-based stepwise backward selection and restrictive cubic spline models to express relationships as standardized beta values.
Multiple linear regression analysis identified many independent factors influencing API including age, sex, body mass index (BMI), pulse pressure (PP), heart rate (HR), hemoglobin, uric acid (UA), estimated glomerular filtration rate (eGFR), triglyceride (TC), and a history of hypertension. Notably, API values increased at 33 and escalated with advancing age. Increases in API were associated with rises in PP and UA increases, particularly when PP reached 60 mmHg and the UA reached 525 units. Conversely, API was found to decrease with elevated HR and eGFR. Furthermore, there was a significant inverted U-shaped relationship between API and BMI.
This study was the first to describe API distribution characteristics in a large sample of the Chinese population, providing references for evaluating API changes in the assessment of residual stress variations in diverse diseases. Notably, API displayed a U-shaped relationship with age and was closely related to traditional CVD risk factors, underscoring its potential as a non-invasive tool for risk assessment in vascular health.
This research was registered with the China Clinical Trial Registration Center (Registration Number: ChiCTR2000035937).
动脉压力容积指数(API)提供了一种无创测量肱动脉残余应力的方法。本研究调查了中国大量人群样本中API的分布特征及其与心血管疾病风险(CVD)因素的相关性。
这项横断面研究共调查了7620名参与者。我们使用基于回归的逐步向后选择和限制性立方样条模型分析了API与影响CVD的因素之间的关系,以标准化β值表示关系。
多元线性回归分析确定了许多影响API的独立因素,包括年龄、性别、体重指数(BMI)、脉压(PP)、心率(HR)、血红蛋白、尿酸(UA)、估计肾小球滤过率(eGFR)、甘油三酯(TC)和高血压病史。值得注意的是,API值在33岁时开始升高,并随着年龄的增长而上升。API的增加与PP和UA的增加相关,特别是当PP达到60 mmHg且UA达到525单位时。相反,发现API随着HR和eGFR的升高而降低。此外,API与BMI之间存在显著的倒U形关系。
本研究首次描述了中国大量人群样本中API的分布特征,为评估各种疾病残余应力变化时API的变化提供了参考。值得注意的是,API与年龄呈U形关系,并且与传统的CVD风险因素密切相关,凸显了其作为血管健康风险评估无创工具的潜力。
本研究已在中国临床试验注册中心注册(注册号:ChiCTR2000035937)。