Literature DB >> 21245360

Noninvasive estimation of the rate of relaxation by the analysis of intraventricular pressure gradients.

Raquel Yotti1, Javier Bermejo, Yolanda Benito, J Carlos Antoranz, M Mar Desco, Daniel Rodríguez-Pérez, Cristina Cortina, Teresa Mombiela, Alicia Barrio, Jaime Elízaga, Francisco Fernández-Avilés.   

Abstract

BACKGROUND: During late ejection, myocardial relaxation causes systolic flow to decelerate and stop, and this phenomenon is coupled with the generation of a pressure gradient inside the left ventricle (LV). We hypothesized that the peak reverse ejection intraventricular pressure difference (REIVPD) between the LV apex and the outflow tract could be a useful method to improve the assessment of LV relaxation using Doppler echocardiography. METHODS AND
RESULTS: Three sets of animal experiments and 1 clinical study were designed. In 6 pigs, a close relationship between REIVPD and the intensity of the relaxation wave (R(rm)=0.89) was demonstrated using wave intensity analysis of high-fidelity pressure-volume-velocity data. In 19 animals, REIVPD sensitively detected modifications of the lusotropic state and closely correlated with the time constant of LV relaxation (τ) within animals (R(rm)=-0.93). Load-dependence analysis in 5 pigs showed that REIVPD remained stable up to values of 35% to 40% acute preload reduction. Clinical validation was tested in 50 patients (23 with normal systolic function) undergoing simultaneous Doppler echocardiography and high-fidelity LV pressure measurements on the same beat. REIVPD and tissue Doppler mitral annulus velocity (e') were independently related to τ, but the REIVPD · e' product correlated better with τ than either variable separately (bootstrap-corrected correlation coefficients: R=-0.84 versus -0.71, and -0.70, respectively, P<0.05). Area under the receiver operating characteristic curve to predict impaired relaxation (τ>50 ms) for e' · REIVPD was 0.96 (95% confidence interval, 0.85 to 0.99).
CONCLUSIONS: The Doppler-derived REIVPD provides a sensitive, reliable, reproducible, and relatively load-independent index of the rate of LV relaxation. Combined with tissue Doppler measurements of longitudinal function, this method improves noninvasive assessment of LV relaxation in the clinical setting.

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Year:  2011        PMID: 21245360     DOI: 10.1161/CIRCIMAGING.110.960369

Source DB:  PubMed          Journal:  Circ Cardiovasc Imaging        ISSN: 1941-9651            Impact factor:   7.792


  12 in total

1.  Validation of noninvasive indices of global systolic function in patients with normal and abnormal loading conditions: a simultaneous echocardiography pressure-volume catheterization study.

Authors:  Raquel Yotti; Javier Bermejo; Yolanda Benito; Ricardo Sanz-Ruiz; Cristina Ripoll; Pablo Martínez-Legazpi; Candelas Pérez del Villar; Jaime Elízaga; Ana González-Mansilla; Alicia Barrio; Rafael Bañares; Francisco Fernández-Avilés
Journal:  Circ Cardiovasc Imaging       Date:  2013-10-30       Impact factor: 7.792

2.  Echocardiography derived intra-ventricular pressure gradients: a window to the temporal and spatial components of diastolic dysfunction.

Authors:  Georgios K Chalikias; Dimitrios N Tziakas
Journal:  Int J Cardiovasc Imaging       Date:  2021-07-20       Impact factor: 2.357

Review 3.  MRI Assessment of Diastolic and Systolic Intraventricular Pressure Gradients in Heart Failure.

Authors:  Snigdha Jain; Francisco J Londono; Patrick Segers; Thierry C Gillebert; Marc De Buyzere; Julio A Chirinos
Journal:  Curr Heart Fail Rep       Date:  2016-02

4.  Development of suction force during early diastole from the left atrium to the left ventricle in infants, children, and adolescents.

Authors:  Ken Takahashi; Masaki Nii; Kiyohiro Takigiku; Manatomo Toyono; Satoru Iwashima; Nao Inoue; Noboru Tanaka; Kotoko Matsui; Sachie Shigemitsu; Mariko Yamada; Maki Kobayashi; Kana Yazaki; Keiichi Itatani; Toshiaki Shimizu
Journal:  Heart Vessels       Date:  2018-08-28       Impact factor: 2.037

5.  Diastolic chamber properties of the left ventricle assessed by global fitting of pressure-volume data: improving the gold standard of diastolic function.

Authors:  Javier Bermejo; Raquel Yotti; Candelas Pérez del Villar; Juan C del Álamo; Daniel Rodríguez-Pérez; Pablo Martínez-Legazpi; Yolanda Benito; J Carlos Antoranz; M Mar Desco; Ana González-Mansilla; Alicia Barrio; Jaime Elízaga; Francisco Fernández-Avilés
Journal:  J Appl Physiol (1985)       Date:  2013-06-06

Review 6.  Images as drivers of progress in cardiac computational modelling.

Authors:  Pablo Lamata; Ramón Casero; Valentina Carapella; Steve A Niederer; Martin J Bishop; Jürgen E Schneider; Peter Kohl; Vicente Grau
Journal:  Prog Biophys Mol Biol       Date:  2014-08-10       Impact factor: 3.667

7.  In vivo MRI and ex vivo histological assessment of the cardioprotection induced by ischemic preconditioning, postconditioning and remote conditioning in a closed-chest porcine model of reperfused acute myocardial infarction: importance of microvasculature.

Authors:  Tamás Baranyai; Zoltán Giricz; Zoltán V Varga; Gábor Koncsos; Dominika Lukovic; András Makkos; Márta Sárközy; Noémi Pávó; András Jakab; Csilla Czimbalmos; Hajnalka Vágó; Zoltán Ruzsa; Levente Tóth; Rita Garamvölgyi; Béla Merkely; Rainer Schulz; Mariann Gyöngyösi; Péter Ferdinandy
Journal:  J Transl Med       Date:  2017-04-01       Impact factor: 5.531

8.  Echocardiographic evidence of left ventricular untwisting-filling interplay.

Authors:  Amir Hodzic; Damien Garcia; Eric Saloux; Paula A B Ribeiro; Amélie Ethier; James D Thomas; Paul Milliez; Hervé Normand; Francois Tournoux
Journal:  Cardiovasc Ultrasound       Date:  2020-02-19       Impact factor: 2.062

9.  Aortic relative pressure components derived from four-dimensional flow cardiovascular magnetic resonance.

Authors:  Pablo Lamata; Alex Pitcher; Sebastian Krittian; David Nordsletten; Malenka M Bissell; Thomas Cassar; Alex J Barker; Michael Markl; Stefan Neubauer; Nicolas P Smith
Journal:  Magn Reson Med       Date:  2013-11-18       Impact factor: 4.668

10.  Understanding the need of ventricular pressure for the estimation of diastolic biomarkers.

Authors:  Jiahe Xi; Wenzhe Shi; Daniel Rueckert; Reza Razavi; Nicolas P Smith; Pablo Lamata
Journal:  Biomech Model Mechanobiol       Date:  2013-10-04
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