Noninvasive Outflow Graft Flow Waveform Assessment Using Echocardiography and the HeartMate 3 Snoopy: A Mock Loop Study.

IF 2.2 3区 医学 Q2 ENGINEERING, BIOMEDICAL
ASAIO Journal Pub Date : 2026-10-01 Epub Date: 2025-12-22 DOI:10.1097/MAT.0000000000002610
Ricardo C Deveza, Mina Saweris, Desiree Robson, Pankaj Jain, Sumita Barua, Christian Said, Theodore Abart, Gregor Widhalm, Kavitha Muthiah, Thomas Schlöglhofer, Christopher Hayward
{"title":"Noninvasive Outflow Graft Flow Waveform Assessment Using Echocardiography and the HeartMate 3 Snoopy: A Mock Loop Study.","authors":"Ricardo C Deveza, Mina Saweris, Desiree Robson, Pankaj Jain, Sumita Barua, Christian Said, Theodore Abart, Gregor Widhalm, Kavitha Muthiah, Thomas Schlöglhofer, Christopher Hayward","doi":"10.1097/MAT.0000000000002610","DOIUrl":null,"url":null,"abstract":"<p><p>The instantaneous left ventricular assist device (LVAD) flow waveform of the HeartWare ventricular assist device (HVAD) device was previously used to assess hemodynamic parameters, which is not possible with the HeartMate 3 (HM3). The purpose of this study was to assess the ability of pulsed wave Doppler interrogation of the outflow graft (PWOG) and of a novel noninvasive pump data acquisition system (HM3 Snoopy) to obtain noninvasive flow waveforms (NIFW) and to determine whether these predict hemodynamic changes. The study was conducted using a fluid-filled, biventricular failure mock loop model with a flow probe (FP) placed around the distal outflow. Five different pump speeds, two distinct hematocrits, and preload and afterload changes were used to create 56 unique hemodynamic states. Noninvasive flow waveform parameters were assessed for correlation against FP-derived parameters. Subsequently, NIFW parameters were assessed for their predictive capabilities for preload and afterload changes. There was moderate correlation between NIFW and FP-derived systolic waveform parameters ( r range: 0.43-0.81), and strong correlation for diastolic parameters ( r range: 0.87-0.99). Flow waveform amplitude as obtained by echocardiography was the best preload predictor ( r2 = 0.67). A multiple linear regression model of NIFW parameters provided adequate prediction of afterload ( r2 = 0.85). HeartMate 3 Snoopy and PWOG are promising tools for generating flow waveform surrogates and detecting hemodynamic changes.</p>","PeriodicalId":8844,"journal":{"name":"ASAIO Journal","volume":" ","pages":"812-818"},"PeriodicalIF":2.2000,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13608275/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ASAIO Journal","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1097/MAT.0000000000002610","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/12/22 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0

Abstract

The instantaneous left ventricular assist device (LVAD) flow waveform of the HeartWare ventricular assist device (HVAD) device was previously used to assess hemodynamic parameters, which is not possible with the HeartMate 3 (HM3). The purpose of this study was to assess the ability of pulsed wave Doppler interrogation of the outflow graft (PWOG) and of a novel noninvasive pump data acquisition system (HM3 Snoopy) to obtain noninvasive flow waveforms (NIFW) and to determine whether these predict hemodynamic changes. The study was conducted using a fluid-filled, biventricular failure mock loop model with a flow probe (FP) placed around the distal outflow. Five different pump speeds, two distinct hematocrits, and preload and afterload changes were used to create 56 unique hemodynamic states. Noninvasive flow waveform parameters were assessed for correlation against FP-derived parameters. Subsequently, NIFW parameters were assessed for their predictive capabilities for preload and afterload changes. There was moderate correlation between NIFW and FP-derived systolic waveform parameters ( r range: 0.43-0.81), and strong correlation for diastolic parameters ( r range: 0.87-0.99). Flow waveform amplitude as obtained by echocardiography was the best preload predictor ( r2 = 0.67). A multiple linear regression model of NIFW parameters provided adequate prediction of afterload ( r2 = 0.85). HeartMate 3 Snoopy and PWOG are promising tools for generating flow waveform surrogates and detecting hemodynamic changes.

使用超声心动图和HeartMate 3 Snoopy进行无创流出性移植物血流波形评估:模拟环路研究。
心脏辅助装置(HVAD)装置的瞬时左室辅助装置(LVAD)血流波形先前被用于评估血液动力学参数,这在HeartMate 3 (HM3)中是不可能的。本研究的目的是评估脉冲波多普勒对流出移植物(PWOG)和一种新型无创泵数据采集系统(HM3 Snoopy)获得无创血流波形(NIFW)的能力,并确定这些波形是否能预测血流动力学变化。该研究采用充满液体的双心室衰竭模拟环模型,在远端流出处放置血流探针(FP)。五种不同的泵速,两种不同的血细胞比容,以及负荷前和负荷后的变化,用于创建56种独特的血流动力学状态。评估无创血流波形参数与fp衍生参数的相关性。随后,评估了NIFW参数对预载和后载变化的预测能力。NIFW与fp衍生的收缩期波形参数有中度相关性(r范围:0.43-0.81),与舒张期参数有强相关性(r范围:0.87-0.99)。超声心动图获得的血流波形幅值是最佳的预负荷预测因子(r2 = 0.67)。NIFW参数的多元线性回归模型可以很好地预测后负荷(r2 = 0.85)。Snoopy和PWOG是很有前途的工具,用于生成血流波形替代品和检测血流动力学变化。
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 求助全文
来源期刊
ASAIO Journal
ASAIO Journal 医学-工程:生物医学
CiteScore
6.60
自引率
7.10%
发文量
651
审稿时长
4-8 weeks
期刊介绍: ASAIO Journal is in the forefront of artificial organ research and development. On the cutting edge of innovative technology, it features peer-reviewed articles of the highest quality that describe research, development, the most recent advances in the design of artificial organ devices and findings from initial testing. Bimonthly, the ASAIO Journal features state-of-the-art investigations, laboratory and clinical trials, and discussions and opinions from experts around the world. The official publication of the American Society for Artificial Internal Organs.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书