Investigating non-invasive hemodynamic indicators in hypertension patients with coronary atherosclerotic heart disease.

IF 3.5 4区医学 Q3 PERIPHERAL VASCULAR DISEASE

Clinical and Experimental Hypertension Pub Date : 2025-12-31 Epub Date: 2025-10-06 DOI:10.1080/10641963.2025.2564296

Xiaofen Tian, Yuanlin Zou, Yuyang Zhou, Yan Zhang, Zhe Huang, Nan Ding, Yang Yu

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引用次数: 0

Abstract

Objective: To evaluate the clinical utility of non-invasive hemodynamic indicators in assessing cardiovascular risk among hypertensive patients with coronary atherosclerotic heart disease (CAD), and to explore their correlation with lipid metabolism disorders.

Methods: A cross-sectional study was conducted on 598 hypertensive patients (312 hypertension-only vs. 286 hypertension-CAD). Participants underwent non-invasive hemodynamic monitoring (BioZ-Standard device) and lipid profiling. Group comparisons were performed using t-tests, and Pearson correlation was used to analyze associations between hemodynamics, lipids, and CAD. Receiver operating characteristic (ROC) curve analysis was used to assess diagnostic utility.

Results: The combined group demonstrated significantly impaired hemodynamic function compared to the hypertension-only group, with a lower CO (3.41 ± 0.45 vs 4.38 ± 0.51 L/min), SV (44.09 ± 4.38 vs 50.91 ± 4.63 mL), and CI (1.94 ± 0.25 vs 2.49 ± 0.29 L min^-1 m^-2) (all p < 0.001). Lipid profiles were markedly worse in patients with CAD, showing higher TC (4.76 ± 0.34 vs 4.35 ± 0.31 mmol/L) and LDL-C (3.32 ± 0.39 vs 2.89 ± 0.42 mmol/L) and lower HDL-C (1.09 ± 0.21 vs 1.23 ± 0.19 mmol/L) (all p < 0.001). Strong negative correlations were detected between the hemodynamic parameters and CAD status (CO: r = -0.672, p < 0.001; SV: r = -0.589, p < 0.001), and positive correlations were detected between dyslipidemia and CAD (LDL-C: r = 0.458, p < 0.001; HDL-C: r = -0.381, p < 0.001).

Conclusion: Non-invasive hemodynamic monitoring, particularly the measurement of CO and SV, combined with lipid profiling, offers quantitative markers for risk stratification in hypertensive patients. The significant correlations and diagnostic potential indicated by ROC analysis (AUC > 0.75 for key parameters) suggest that these measures can aid in the early detection and management of CAD in this high-risk population.

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高血压合并冠状动脉粥样硬化性心脏病患者无创血流动力学指标的研究

目的：评价无创血流动力学指标在高血压合并冠心病（CAD）患者心血管危险评估中的临床应用，并探讨其与脂质代谢紊乱的相关性。方法：对598例高血压患者进行横断面研究（单纯高血压312例与高血压合并冠心病286例）。参与者接受无创血流动力学监测（BioZ-Standard设备）和血脂分析。采用t检验进行组间比较，Pearson相关性分析血流动力学、血脂和CAD之间的关系。采用受试者工作特征（ROC）曲线分析评估诊断效用。结果：与单纯高血压组相比，联合组血流动力学功能明显受损，CO(3.41±0.45 vs 4.38±0.51 L/min)， SV(44.09±4.38 vs 50.91±4.63 mL)， CI(1.94±0.25 vs 2.49±0.29 L min-1 m-2) （p p r = -0.672, p r = -0.589, p r = 0.458, p r = -0.381, p p r = -0.381）。无创血流动力学监测，特别是CO和SV的测量，结合血脂分析，为高血压患者的危险分层提供了定量标记。ROC分析显示的显著相关性和诊断潜力（关键参数的AUC为0.75）表明，这些措施有助于在这一高危人群中早期发现和管理CAD。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Clinical and Experimental Hypertension 医学-外周血管病

CiteScore

3.90

自引率

0.80%

发文量

审稿时长

6-12 weeks

期刊介绍： Clinical and Experimental Hypertension is a reputable journal that has converted to a full Open Access format starting from Volume 45 in 2023. While previous volumes are still accessible through a Pay to Read model, the journal now provides free and open access to its content. It serves as an international platform for the exchange of up-to-date scientific and clinical information concerning both human and animal hypertension. The journal publishes a wide range of articles, including full research papers, solicited and unsolicited reviews, and commentaries. Through these publications, the journal aims to enhance current understanding and support the timely detection, management, control, and prevention of hypertension-related conditions. One notable aspect of Clinical and Experimental Hypertension is its coverage of special issues that focus on the proceedings of symposia dedicated to hypertension research. This feature allows researchers and clinicians to delve deeper into the latest advancements in this field. The journal is abstracted and indexed in several renowned databases, including Pharmacoeconomics and Outcomes News (Online), Reactions Weekly (Online), CABI, EBSCOhost, Elsevier BV, International Atomic Energy Agency, and the National Library of Medicine, among others. These affiliations ensure that the journal's content receives broad visibility and facilitates its discoverability by professionals and researchers in related disciplines.