• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

左心室时变弹性的微创、个性化、逐搏估计。

Minimally invasive, patient specific, beat-by-beat estimation of left ventricular time varying elastance.

作者信息

Davidson Shaun, Pretty Chris, Pironet Antoine, Kamoi Shun, Balmer Joel, Desaive Thomas, Chase J Geoffrey

机构信息

Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.

GIGA-Cardiovascular Sciences, University of Liège, Liège, Belgium.

出版信息

Biomed Eng Online. 2017 Apr 13;16(1):42. doi: 10.1186/s12938-017-0338-7.

DOI:10.1186/s12938-017-0338-7
PMID:28407773
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5390429/
Abstract

BACKGROUND

The aim of this paper was to establish a minimally invasive method for deriving the left ventricular time varying elastance (TVE) curve beat-by-beat, the monitoring of which's inter-beat evolution could add significant new data and insight to improve diagnosis and treatment. The method developed uses the clinically available inputs of aortic pressure, heart rate and baseline end-systolic volume (via echocardiography) to determine the outputs of left ventricular pressure, volume and dead space volume, and thus the TVE curve. This approach avoids directly assuming the shape of the TVE curve, allowing more effective capture of intra- and inter-patient variability.

RESULTS

The resulting TVE curve was experimentally validated against the TVE curve as derived from experimentally measured left ventricular pressure and volume in animal models, a data set encompassing 46,318 heartbeats across 5 Piétrain pigs. This simulated TVE curve was able to effectively approximate the measured TVE curve, with an overall median absolute error of 11.4% and overall median signed error of -2.5%.

CONCLUSIONS

The use of clinically available inputs means there is potential for real-time implementation of the method at the patient bedside. Thus the method could be used to provide additional, patient specific information on intra- and inter-beat variation in heart function.

摘要

背景

本文的目的是建立一种微创方法,逐搏推导左心室时变弹性(TVE)曲线,监测其逐搏演变可为改善诊断和治疗提供重要的新数据和见解。所开发的方法利用临床上可获得的主动脉压力、心率和基线收缩末期容积(通过超声心动图)来确定左心室压力、容积和死腔容积的输出,从而得到TVE曲线。这种方法避免了直接假设TVE曲线的形状,能够更有效地捕捉患者内和患者间的变异性。

结果

所得的TVE曲线通过与动物模型中实验测量的左心室压力和容积推导得到的TVE曲线进行实验验证,该数据集涵盖了5头皮特兰猪的46318次心跳。这种模拟的TVE曲线能够有效地逼近测量得到的TVE曲线,总体中位绝对误差为11.4%,总体中位符号误差为-2.5%。

结论

使用临床上可获得的输入意味着该方法有可能在患者床边实时实施。因此,该方法可用于提供有关心功能患者内和逐搏变化的额外的、针对患者的信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/557e/5390429/bd830c04348a/12938_2017_338_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/557e/5390429/ad5158f78cfa/12938_2017_338_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/557e/5390429/65cddc6cf479/12938_2017_338_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/557e/5390429/ec5545040071/12938_2017_338_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/557e/5390429/8f86de85032e/12938_2017_338_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/557e/5390429/b89cb74ff32e/12938_2017_338_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/557e/5390429/9f3b05853333/12938_2017_338_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/557e/5390429/bd830c04348a/12938_2017_338_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/557e/5390429/ad5158f78cfa/12938_2017_338_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/557e/5390429/65cddc6cf479/12938_2017_338_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/557e/5390429/ec5545040071/12938_2017_338_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/557e/5390429/8f86de85032e/12938_2017_338_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/557e/5390429/b89cb74ff32e/12938_2017_338_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/557e/5390429/9f3b05853333/12938_2017_338_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/557e/5390429/bd830c04348a/12938_2017_338_Fig7_HTML.jpg

相似文献

1
Minimally invasive, patient specific, beat-by-beat estimation of left ventricular time varying elastance.左心室时变弹性的微创、个性化、逐搏估计。
Biomed Eng Online. 2017 Apr 13;16(1):42. doi: 10.1186/s12938-017-0338-7.
2
Beat-by-Beat Estimation of the Left Ventricular Pressure-Volume Loop Under Clinical Conditions.临床条件下左心室压力-容积环的逐拍估计。
Ann Biomed Eng. 2018 Jan;46(1):171-185. doi: 10.1007/s10439-017-1947-9. Epub 2017 Oct 25.
3
Minimally invasive estimation of ventricular dead space volume through use of Frank-Starling curves.通过使用弗兰克-斯塔林曲线对心室死腔容积进行微创估计。
PLoS One. 2017 Apr 27;12(4):e0176302. doi: 10.1371/journal.pone.0176302. eCollection 2017.
4
Single-beat estimation of end-systolic elastance using bilinearly approximated time-varying elastance curve.使用双线性近似时变弹性曲线进行单搏收缩末期弹性的估计。
Circulation. 2000 Oct 17;102(16):1983-9. doi: 10.1161/01.cir.102.16.1983.
5
Evolutive algorithms for beat-by-beat estimation of left ventricular mechanics.
Ann Ist Super Sanita. 2004;40(4):401-9.
6
Left ventricular function: time-varying elastance and left ventricular aortic coupling.左心室功能:时变弹性与左心室-主动脉耦合
Crit Care. 2016 Sep 10;20(1):270. doi: 10.1186/s13054-016-1439-6.
7
Beat-to-beat systolic time-interval measurement from heart sounds and ECG.心音和心电图的逐搏收缩时间间隔测量。
Physiol Meas. 2012 Feb;33(2):177-94. doi: 10.1088/0967-3334/33/2/177. Epub 2012 Jan 19.
8
Continuous left ventricular ejection fraction monitoring by aortic pressure waveform analysis.通过主动脉压力波形分析进行连续左心室射血分数监测。
Ann Biomed Eng. 2009 Jun;37(6):1055-68. doi: 10.1007/s10439-009-9675-4. Epub 2009 Mar 24.
9
Continuous Rapid Quantification of Stroke Volume Using Magnetohydrodynamic Voltages in 3T Magnetic Resonance Imaging.在3T磁共振成像中使用磁流体动力学电压连续快速定量测定每搏输出量
Circ Cardiovasc Imaging. 2015 Dec;8(12). doi: 10.1161/CIRCIMAGING.115.003282.
10
Single-beat estimation of the ventricular pumping mechanics in terms of the systolic elastance and resistance.基于收缩期弹性和阻力对心室泵血力学进行单搏估计。
J Theor Biol. 1997 Nov 7;189(1):89-95. doi: 10.1006/jtbi.1997.0498.

引用本文的文献

1
Model based care in the ICU: A review of potential combined cardio-pulmonary models.基于模型的 ICU 护理:潜在心肺联合模型的综述。
PLoS One. 2024 Oct 24;19(10):e0306925. doi: 10.1371/journal.pone.0306925. eCollection 2024.
2
A guide for assessment of myocardial stiffness in health and disease.健康与疾病状态下心肌僵硬度评估指南。
Nat Cardiovasc Res. 2022 Jan;1(1):8-22. doi: 10.1038/s44161-021-00007-3. Epub 2022 Jan 12.
3
Shortening the thick filament by partial deletion of titin's C-zone alters cardiac function by reducing the operating sarcomere length range.

本文引用的文献

1
Minimally invasive estimation of ventricular dead space volume through use of Frank-Starling curves.通过使用弗兰克-斯塔林曲线对心室死腔容积进行微创估计。
PLoS One. 2017 Apr 27;12(4):e0176302. doi: 10.1371/journal.pone.0176302. eCollection 2017.
2
Heart Disease and Stroke Statistics-2016 Update: A Report From the American Heart Association.《2016年心脏病和中风统计数据更新:美国心脏协会报告》
Circulation. 2016 Jan 26;133(4):e38-360. doi: 10.1161/CIR.0000000000000350. Epub 2015 Dec 16.
3
Recommendations for cardiac chamber quantification by echocardiography in adults: an update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging.
通过部分缺失肌联蛋白 C 区来缩短粗肌丝会改变心脏功能,减少工作肌节长度范围。
J Mol Cell Cardiol. 2022 Apr;165:103-114. doi: 10.1016/j.yjmcc.2022.01.002. Epub 2022 Jan 11.
4
Blood pressure waveform contour analysis for assessing peripheral resistance changes in sepsis.用于评估脓毒症外周阻力变化的血压波形轮廓分析。
Biomed Eng Online. 2018 Nov 20;17(1):171. doi: 10.1186/s12938-018-0603-4.
超声心动图成人左心室容量和射血分数测量:美国超声心动图学会和欧洲心血管影像协会的更新建议。
J Am Soc Echocardiogr. 2015 Jan;28(1):1-39.e14. doi: 10.1016/j.echo.2014.10.003.
4
Continuous stroke volume estimation from aortic pressure using zero dimensional cardiovascular model: proof of concept study from porcine experiments.使用零维心血管模型从主动脉压力连续估计每搏输出量:来自猪实验的概念验证研究
PLoS One. 2014 Jul 17;9(7):e102476. doi: 10.1371/journal.pone.0102476. eCollection 2014.
5
Evaluation of a model-based hemodynamic monitoring method in a porcine study of septic shock.评价一种基于模型的血流动力学监测方法在脓毒性休克猪研究中的应用。
Comput Math Methods Med. 2013;2013:505417. doi: 10.1155/2013/505417. Epub 2013 Mar 25.
6
Beat-to-beat estimation of the continuous left and right cardiac elastance from metrics commonly available in clinical settings.从临床常用指标实时估计连续的左、右心僵硬度。
Biomed Eng Online. 2012 Sep 21;11:73. doi: 10.1186/1475-925X-11-73.
7
Algorithmic processing of pressure waveforms to facilitate estimation of cardiac elastance.算法处理压力波型,以方便估计心脏弹性能。
Biomed Eng Online. 2012 Jun 15;11:28. doi: 10.1186/1475-925X-11-28.
8
Validation of subject-specific cardiovascular system models from porcine measurements.从猪的测量数据中验证特定于主体的心血管系统模型。
Comput Methods Programs Biomed. 2013 Feb;109(2):197-210. doi: 10.1016/j.cmpb.2011.10.013. Epub 2011 Nov 27.
9
Single-beat estimation of the left ventricular end-systolic pressure-volume relationship in patients with heart failure.心力衰竭患者的单次心跳左心室收缩末期压力-容积关系的估计。
Acta Physiol (Oxf). 2010 Jan;198(1):37-46. doi: 10.1111/j.1748-1716.2009.02040.x. Epub 2009 Sep 6.
10
Dynamic correction for parallel conductance, GP, and gain factor, alpha, in invasive murine left ventricular volume measurements.动态校正心肌容积测量中的并行电导、GP 和增益系数 α 对鼠左心室的影响。
J Appl Physiol (1985). 2009 Dec;107(6):1693-703. doi: 10.1152/japplphysiol.91322.2008. Epub 2009 Aug 20.