Non-invasive assessment of stroke volume and cardiovascular parameters based on peripheral pressure waveform.

IF 4.3 2区 生物学 PLoS Computational Biology Pub Date : 2024-04-18 DOI:10.1371/journal.pcbi.1012013
Kamil Wołos, L. Pstras, M. Debowska, Wojciech Dabrowski, Dorota Siwicka-Gieroba, Jan Poleszczuk
{"title":"Non-invasive assessment of stroke volume and cardiovascular parameters based on peripheral pressure waveform.","authors":"Kamil Wołos, L. Pstras, M. Debowska, Wojciech Dabrowski, Dorota Siwicka-Gieroba, Jan Poleszczuk","doi":"10.1371/journal.pcbi.1012013","DOIUrl":null,"url":null,"abstract":"Cardiovascular diseases are the leading cause of death globally, making the development of non-invasive and simple-to-use tools that bring insights into the state of the cardiovascular system of utmost importance. We investigated the possibility of using peripheral pulse wave recordings to estimate stroke volume (SV) and subject-specific parameters describing the selected properties of the cardiovascular system. Peripheral pressure waveforms were recorded in the radial artery using applanation tonometry (SphygmoCor) in 35 hemodialysis (HD) patients and 14 healthy subjects. The pressure waveforms were then used to estimate subject-specific parameters of a mathematical model of pulse wave propagation coupled with the elastance-based model of the left ventricle. Bioimpedance cardiography measurements (PhysioFlow) were performed to validate the model-estimated SV. Mean absolute percentage error between the simulated and measured pressure waveforms was 4.0% and 2.8% for the HD and control group, respectively. We obtained a moderate correlation between the model-estimated and bioimpedance-based SV (r = 0.57, p<0.05, and r = 0.58, p<0.001, for the control group and HD patients, respectively). We also observed a correlation between the estimated end-systolic elastance of the left ventricle and the peripheral systolic pressure in both HD patients (r = 0.84, p<0.001) and the control group (r = 0.70, p<0.01). These preliminary results suggest that, after additional validation and possibly further refinement to increase accuracy, the proposed methodology could support non-invasive assessment of stroke volume and selected heart function parameters and vascular properties. Importantly, the proposed method could be potentially implemented in the existing devices measuring peripheral pressure waveforms.","PeriodicalId":49688,"journal":{"name":"PLoS Computational Biology","volume":" 4","pages":"e1012013"},"PeriodicalIF":4.3000,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"PLoS Computational Biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1371/journal.pcbi.1012013","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Cardiovascular diseases are the leading cause of death globally, making the development of non-invasive and simple-to-use tools that bring insights into the state of the cardiovascular system of utmost importance. We investigated the possibility of using peripheral pulse wave recordings to estimate stroke volume (SV) and subject-specific parameters describing the selected properties of the cardiovascular system. Peripheral pressure waveforms were recorded in the radial artery using applanation tonometry (SphygmoCor) in 35 hemodialysis (HD) patients and 14 healthy subjects. The pressure waveforms were then used to estimate subject-specific parameters of a mathematical model of pulse wave propagation coupled with the elastance-based model of the left ventricle. Bioimpedance cardiography measurements (PhysioFlow) were performed to validate the model-estimated SV. Mean absolute percentage error between the simulated and measured pressure waveforms was 4.0% and 2.8% for the HD and control group, respectively. We obtained a moderate correlation between the model-estimated and bioimpedance-based SV (r = 0.57, p<0.05, and r = 0.58, p<0.001, for the control group and HD patients, respectively). We also observed a correlation between the estimated end-systolic elastance of the left ventricle and the peripheral systolic pressure in both HD patients (r = 0.84, p<0.001) and the control group (r = 0.70, p<0.01). These preliminary results suggest that, after additional validation and possibly further refinement to increase accuracy, the proposed methodology could support non-invasive assessment of stroke volume and selected heart function parameters and vascular properties. Importantly, the proposed method could be potentially implemented in the existing devices measuring peripheral pressure waveforms.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于外周压力波形的无创卒中量和心血管参数评估。
心血管疾病是导致全球死亡的主要原因,因此开发能深入了解心血管系统状态的无创且简单易用的工具至关重要。我们研究了使用外周脉搏波记录来估算每搏量(SV)和描述心血管系统选定特性的特定受试者参数的可能性。我们使用眼压计(SphygmoCor)记录了 35 名血液透析(HD)患者和 14 名健康受试者桡动脉的外周压力波形。然后利用压力波形估算脉搏波传播数学模型和基于弹性的左心室模型的特定受试者参数。生物阻抗心动图测量(PhysioFlow)对模型估计的 SV 进行了验证。对于 HD 组和对照组,模拟压力波形和测量压力波形之间的平均绝对百分比误差分别为 4.0% 和 2.8%。模型估计的 SV 与基于生物阻抗的 SV 之间存在中度相关性(对照组和 HD 患者的相关性分别为 r = 0.57,p<0.05;r = 0.58,p<0.001)。我们还观察到,HD 患者(r = 0.84,p<0.001)和对照组(r = 0.70,p<0.01)的左心室收缩末期弹性估计值与外周收缩压之间存在相关性。这些初步结果表明,经过进一步验证和可能的进一步改进以提高准确性后,所建议的方法可支持对卒中量和选定的心脏功能参数及血管特性进行无创评估。重要的是,建议的方法有可能在现有的外周压力波形测量设备中实施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
PLoS Computational Biology
PLoS Computational Biology 生物-生化研究方法
CiteScore
7.10
自引率
4.70%
发文量
820
期刊介绍: PLOS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery. Research articles must be declared as belonging to a relevant section. More information about the sections can be found in the submission guidelines. Research articles should model aspects of biological systems, demonstrate both methodological and scientific novelty, and provide profound new biological insights. Generally, reliability and significance of biological discovery through computation should be validated and enriched by experimental studies. Inclusion of experimental validation is not required for publication, but should be referenced where possible. Inclusion of experimental validation of a modest biological discovery through computation does not render a manuscript suitable for PLOS Computational Biology. Research articles specifically designated as Methods papers should describe outstanding methods of exceptional importance that have been shown, or have the promise to provide new biological insights. The method must already be widely adopted, or have the promise of wide adoption by a broad community of users. Enhancements to existing published methods will only be considered if those enhancements bring exceptional new capabilities.
期刊最新文献
Real-time forecasting of COVID-19-related hospital strain in France using a non-Markovian mechanistic model. Ten simple rules for teaching an introduction to R Evolutionary analyses of intrinsically disordered regions reveal widespread signals of conservation. A weak coupling mechanism for the early steps of the recovery stroke of myosin VI: A free energy simulation and string method analysis. Validity conditions of approximations for a target-mediated drug disposition model: A novel first-order approximation and its comparison to other approximations.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1