Hsu Po-Chao, Lee Wen-Hsien, Tsai Wei-Chung, Chi Nai-Yu, Chang Ching-Tang, Chiu Cheng-An, Chu Chun-Yuan, Lin Tsung-Hsien, Lai Wen-Ter, Sheu Sheng-Hsiung, Su Ho-Ming
Division of Cardiology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan; Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
Division of Cardiology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan; Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan; Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung, Taiwan.
Am J Med Sci. 2021 Apr;361(4):479-484. doi: 10.1016/j.amjms.2020.10.023. Epub 2020 Oct 26.
Pulse wave velocity (PWV) is an excellent index of arterial stiffness and can be used to predict long-term cardiovascular (CV) outcome. In recent years, estimated PWV (ePWV), calculated by equations using age and mean blood pressure, was also reported to be a significant predictor of CV outcomes. However, there was no literature discussing about usefulness of ePWV in patients of acute myocardial infarction (AMI) for prediction of long-term CV and overall mortality. Therefore, we conducted this study for further evaluation.
A total of 187 patients with AMI admitted to cardiac care unit were enrolled. ePWV were calculated by the equations for each patient.
The median follow-up to mortality was 73 months (25th-75th percentile: 8-174 months). There were 35 and 125 patients documented as CV and overall mortality, respectively. Under univariable analysis, ePWV could independently predict long-term CV and overall mortality. However, after multivariable analysis, ePWV could only predict long-term CV mortality in AMI patients.
To the best of our knowledge, our study was the first to evaluate the usefulness of ePWV in AMI patients for prediction of long-term CV and overall mortality. Our study showed ePWV was not only easy to calculate by formula, but also an independent predictor for long-term CV mortality in univariable and multivariable analyses. Therefore, ePWV was a simple and useful tool to measure arterial stiffness and to predict CV mortality outcome in AMI patients without the necessity for equipment to measure PWV.
脉搏波速度(PWV)是动脉僵硬度的一个优良指标,可用于预测长期心血管(CV)结局。近年来,通过使用年龄和平均血压的公式计算得出的估计PWV(ePWV),也被报道为CV结局的一个重要预测指标。然而,尚无文献讨论ePWV在急性心肌梗死(AMI)患者中预测长期CV和全因死亡率的效用。因此,我们开展了本研究以进行进一步评估。
共纳入187例入住心脏监护病房的AMI患者。为每位患者通过公式计算ePWV。
至死亡的中位随访时间为73个月(第25 - 75百分位数:8 - 174个月)。分别有35例和125例患者记录有CV死亡和全因死亡。在单变量分析中,ePWV可独立预测长期CV和全因死亡率。然而,经过多变量分析后,ePWV仅能预测AMI患者的长期CV死亡率。
据我们所知,我们的研究是首个评估ePWV在AMI患者中预测长期CV和全因死亡率效用的研究。我们的研究表明,ePWV不仅易于通过公式计算,而且在单变量和多变量分析中均为长期CV死亡率的独立预测指标。因此,ePWV是一种简单且有用的工具,无需测量PWV的设备即可测量动脉僵硬度并预测AMI患者的CV死亡结局。