Zhao Guanghui, Guo Zhiyu, Zheng Peng
Department of Vascular Surgery, Jinhua Central Hospital, Jinhua City, Zhejiang Province 321000, People's Republic of China.
Physiol Meas. 2025 Jan 6;45(12). doi: 10.1088/1361-6579/ad9ce6.
To investigate how severe abdominal aortic calcification (SAAC) and estimated pulse wave velocity (ePWV) relate to each other and to all-cause and cardiovascular disease (CVD) mortalities.National Health and Nutrition Examination Survey 2013-2014 data were analyzed. ePWV, computed using age and mean blood pressure, served as an independent variable. Dependent variable SAAC (AAC score >6) was quantified using dual-energy x-ray absorptiometry and Kauppila grading. A weighted logistic regression model, interaction terms, and restricted cubic spline analysis examined relationship between ePWV and SAAC. Kaplan-Meier curves were drawn among SAAC people. A weighted Cox regression model was built to examine associations of ePWV with all-cause and CVD mortalities.2849 individuals were included. A strong positive connection (odds ratio (OR) > 1,< 0.05) was seen between ePWV and SAAC risk. Interaction term-value indicated that only ethnicity (< 0.05) had an impact on this link but smoking, alcohol use, age, sex, body mass index, or hypertension did not. SAAC patients showed greater ePWV, all-cause and CVD mortalities (< 0.05) than non-SAAC subjects. Greater ePWV (>12.00 m s) was associated with higher risks of all-cause and CVD mortalities in SAAC participants (hazard ratio (HR) > 1,< 0.05). SignificanceThis study, for the first time based on the NHANES database, reveals a positive correlation between ePWV and SAAC, and identifies ePWV as an independent predictor of all-cause and cardiovascular mortality risk in patients with SAAC, providing a new biomarker for the prevention and early intervention of cardiovascular diseases.
为研究严重腹主动脉钙化(SAAC)与估计脉搏波速度(ePWV)之间的相互关系以及它们与全因死亡率和心血管疾病(CVD)死亡率的关系。对2013 - 2014年美国国家健康和营养检查调查数据进行了分析。使用年龄和平均血压计算得出的ePWV作为自变量。通过双能X线吸收法和考皮拉分级对因变量SAAC(腹主动脉钙化评分>6)进行量化。采用加权逻辑回归模型、交互项和受限立方样条分析来研究ePWV与SAAC之间的关系。为SAAC人群绘制了Kaplan - Meier曲线。构建加权Cox回归模型以检验ePWV与全因死亡率和CVD死亡率之间的关联。纳入了2849名个体。ePWV与SAAC风险之间存在强正相关(优势比(OR)>1,<0.05)。交互项值表明只有种族(<0.05)对这种关联有影响,而吸烟、饮酒、年龄、性别、体重指数或高血压则没有影响。SAAC患者的ePWV、全因死亡率和CVD死亡率均高于非SAAC受试者(<0.05)。在SAAC参与者中,较高的ePWV(>12.00 m/s)与全因死亡率和CVD死亡率的较高风险相关(风险比(HR)>1,<0.05)。意义本研究首次基于美国国家健康和营养检查调查(NHANES)数据库,揭示了ePWV与SAAC之间的正相关关系,并确定ePWV是SAAC患者全因和心血管死亡风险的独立预测因子,为心血管疾病的预防和早期干预提供了一种新的生物标志物。