[1]张丽杰 周喆 张建宁 丘雨旻 刘张弛 徐诗岳 王妍 陶军.估计的脉搏波传导速度判断心血管风险与预后的可行性与实践[J].心血管病学进展,2024,(12):1123.[doi:10.16806/j.cnki.issn.1004-3934.2024.02.015]
　ZHANG Lijie,ZHOU Zhe,ZHANG Jianning,et al.Feasibility and Practice of Assessing Cardiovascular Risk Through Estimated Pulse Wave Velocity[J].Advances in Cardiovascular Diseases,2024,(12):1123.[doi:10.16806/j.cnki.issn.1004-3934.2024.02.015]
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估计的脉搏波传导速度判断心血管风险与预后的可行性与实践()
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《心血管病学进展》[ISSN:51-1187/R/CN:1004-3934]

卷:
期数:
2024年12期
页码:
1123
栏目:
论著
出版日期:
2024-12-25

文章信息/Info

Title:
Feasibility and Practice of Assessing Cardiovascular Risk Through Estimated Pulse Wave Velocity
作者:
张丽杰1 周喆2 张建宁2 丘雨旻2 刘张弛2 徐诗岳2 王妍2 陶军2
(1.珠海市妇幼保健院,广东 珠海 519000;2.中山大学附属第一医院高血压血管病科,广东 广州 518100)
Author(s):
ZHANG Lijie1; ZHOU Zhe2; ZHANG Jianning2; QIU Yumin2; LIU Zhangchi2; XU Shiyue2; WANG Yan2; TAO Jun2
(1. Zhuhai center for maternal and child health care, Zhuhai 519000,Guangdong,China;2. Department of Hypertension and Vascular disease , First Affiliated Hospital of Sun Yat-sen University, Guangzhou 518100,Guangdong,China)
关键词:
估计的脉搏波传导速度; 心血管病危险因素; 弗雷明汉风险评分; 临床结局
Keywords:
Estimated pulse wave velocity;  Cardiovascular risk factor;  Framingham risk Score;  Clinical outcome
DOI:
10.16806/j.cnki.issn.1004-3934.2024.02.015
摘要:
目的 评估估计的脉搏波传导速度（ePWV）预测心血管风险与预后的可行性及其临床应用。方法 分析了1999年—2018年美国国家健康和营养调查数据，通过收集心血管风险因素与弗雷明汉风险评分（FRS）计算，分别使用全因死亡和心血管死亡事件作为结局指标进行Cox分析，以判断ePWV是否与临床预后独立相关。此外，使用Harrell’s C统计量以判断ePWV能否为心血管风险因素或FRS模型提供额外的预后预测价值。结果 ePWV与临床结局之间的关系独立于心血管风险因素（全因死亡风险：HR=1.33，95% CI 1.21～1.50；心血管死亡风险：HR=1.51，95% CI 1.30～1.78）和FRS模型（全因死亡风险：HR=1.22，95% CI 1.12～1.32；心血管死亡风险：HR=1.32，95% CI 1.10～1.59）。在预测价值方面，添加ePWV后预测模型的Harrell’s C统计量高于仅使用心血管风险因素或FRS的模型（P < 0.01）。 结论 ePWV可以作为一种无创、便捷、实用评价心血管风险与预后的临床参数。
Abstract:
Objective Assessing the feasibility of estimated pulse wave velocity (ePWV) in predicting cardiovascular risk and prognosis, and its clinical applications. Methods Data from the National Health and Nutrition Examination Survey ( 1999–2018) were analyzed. Cardiovascular risk factors were assessed, and the Framingham Risk Score ( FRS) was calculated. Cox proportional hazards models were used with all-cause mortality and cardiovascular mortality as outcomes. Harrell’s C-statistic was employed to evaluate the additional predictive value of ePWV. Results The association between ePWV and outcomes remained significant after adjusting for cardiovascular risk factors (HR=1.33,95% CI 1.21～1.50 f or all-cause mortality, HR=1.51 ,95% CI 1.30～1.78 for cardiovascular mortality) and FRS ( HR=1.22,95% CI 1.12～1.32 for all-cause mortality,HR=1.32 95% CI 1.10 ～1.59 for cardiovascular mortality). The model incorporating ePWV showed a higher Harrell’s C-statistic compared to models with FRS or cardiovascular risk factors alone(P＜0.01). Conclusions ePWV could serve as a non-invasive , convenient, and practical clinical parameter for assessing cardiovascular risk and prognosis

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更新日期/Last Update: 2025-01-08