Literature DB >> 31109184

Left Ventricular Flow Analysis.

Victoria M Stoll1, Aaron T Hess1, Christopher T Rodgers1,2, Malenka M Bissell1, Petter Dyverfeldt3,4, Tino Ebbers3,4, Saul G Myerson1, Carl-Johan Carlhäll3,4,5,6, Stefan Neubauer1.   

Abstract

BACKGROUND: Cardiac remodeling, after a myocardial insult, often causes progression to heart failure. The relationship between alterations in left ventricular blood flow, including kinetic energy (KE), and remodeling is uncertain. We hypothesized that increasing derangements in left ventricular blood flow would relate to (1) conventional cardiac remodeling markers, (2) increased levels of biochemical remodeling markers, (3) altered cardiac energetics, and (4) worsening patient symptoms and functional capacity. Methods Thirty-four dilated cardiomyopathy patients, 30 ischemic cardiomyopathy patients, and 36 controls underwent magnetic resonance including 4-dimensional flow, BNP (brain-type natriuretic peptide) measurement, functional capacity assessment (6-minute walk test), and symptom quantification. A subgroup of dilated cardiomyopathy and control subjects underwent cardiac energetic assessment. Left ventricular flow was separated into 4 components: direct flow, retained inflow, delayed ejection flow, and residual volume. Average KE throughout the cardiac cycle was calculated.
RESULTS: Patients had reduced direct flow proportion and direct-flow average KE compared with controls ( P<0.0001). The residual volume proportion and residual volume average KE were increased in patients ( P<0.0001). Importantly, in a multiple linear regression model to predict the patient's 6-minute walk test, the independent predictors were age (β=-0.3015; P=0.019) and direct-flow average KE (β=0.280, P=0.035; R2 model, 0.466, P=0.002). In contrast, neither ejection fraction nor left ventricular volumes were independently predictive.
CONCLUSIONS: This study demonstrates an independent predictive relationship between the direct-flow average KE and a prognostic measure of functional capacity. Intracardiac 4-dimensional flow parameters are novel biomarkers in heart failure and may provide additive value in monitoring new therapies and predicting prognosis.

Entities:  

Keywords:  biomarkers; heart failure; magnetic resonance imaging; prognosis; walk test

Mesh:

Substances:

Year:  2019        PMID: 31109184      PMCID: PMC6544522          DOI: 10.1161/CIRCIMAGING.118.008130

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


  27 in total

1.  Chronic unloading by left ventricular assist device reverses contractile dysfunction and alters gene expression in end-stage heart failure.

Authors:  P M Heerdt; J W Holmes; B Cai; A Barbone; J D Madigan; S Reiken; D L Lee; M C Oz; A R Marks; D Burkhoff
Journal:  Circulation       Date:  2000-11-28       Impact factor: 29.690

Review 2.  Passing strange: flow in the failing ventricle.

Authors:  Carl Johan Carlhäll; Ann Bolger
Journal:  Circ Heart Fail       Date:  2010-03       Impact factor: 8.790

3.  Single breath-hold slice-following CSPAMM myocardial tagging.

Authors:  M Stuber; M A Spiegel; S E Fischer; M B Scheidegger; P G Danias; E M Pedersen; P Boesiger
Journal:  MAGMA       Date:  1999-10       Impact factor: 2.310

Review 4.  The failing heart--an engine out of fuel.

Authors:  Stefan Neubauer
Journal:  N Engl J Med       Date:  2007-03-15       Impact factor: 91.245

Review 5.  Cardiac plasticity.

Authors:  Joseph A Hill; Eric N Olson
Journal:  N Engl J Med       Date:  2008-03-27       Impact factor: 91.245

6.  Self-rating of quality of life provides additional prognostic information in heart failure. Insights into the EPICAL study.

Authors:  François Alla; Serge Briançon; Francis Guillemin; Yves Juillière; Paul-Michel Mertès; Jean-Pierre Villemot; Faiez Zannad
Journal:  Eur J Heart Fail       Date:  2002-06       Impact factor: 15.534

Review 7.  Return to the fetal gene program: a suggested metabolic link to gene expression in the heart.

Authors:  Heinrich Taegtmeyer; Shiraj Sen; Deborah Vela
Journal:  Ann N Y Acad Sci       Date:  2010-02       Impact factor: 5.691

8.  B-type natriuretic peptide predicts sudden death in patients with chronic heart failure.

Authors:  Rudolf Berger; Martin Huelsman; Karin Strecker; Anja Bojic; Petra Moser; Brigitte Stanek; Richard Pacher
Journal:  Circulation       Date:  2002-05-21       Impact factor: 29.690

9.  Semi-automatic quantification of 4D left ventricular blood flow.

Authors:  Jonatan Eriksson; Carl Johan Carlhäll; Petter Dyverfeldt; Jan Engvall; Ann F Bolger; Tino Ebbers
Journal:  J Cardiovasc Magn Reson       Date:  2010-02-12       Impact factor: 5.364

10.  Flow and myocardial interaction: an imaging perspective.

Authors:  Guang-Zhong Yang; Robert Merrifield; Sharmeen Masood; Philip J Kilner
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2007-08-29       Impact factor: 6.237

View more
  12 in total

Review 1.  Cardiac Magnetic Resonance Quantification of Structure-Function Relationships in Heart Failure.

Authors:  Kim-Lien Nguyen; Peng Hu; J Paul Finn
Journal:  Heart Fail Clin       Date:  2020-10-28       Impact factor: 3.179

2.  Altered Aortic Hemodynamics and Relative Pressure in Patients with Dilated Cardiomyopathy.

Authors:  David Marlevi; Jorge Mariscal-Harana; Nicholas S Burris; Julio Sotelo; Bram Ruijsink; Myrianthi Hadjicharalambous; Liya Asner; Eva Sammut; Radomir Chabiniok; Sergio Uribe; Reidar Winter; Pablo Lamata; Jordi Alastruey; David Nordsletten
Journal:  J Cardiovasc Transl Res       Date:  2021-12-09       Impact factor: 4.132

3.  Ex vivo biomechanical analysis of the Ross procedure using the modified inclusion technique in a 3-dimensionally printed left heart simulator.

Authors:  Yuanjia Zhu; Mateo Marin-Cuartas; Matthew H Park; Annabel M Imbrie-Moore; Robert J Wilkerson; Sarah Madira; Danielle M Mullis; Y Joseph Woo
Journal:  J Thorac Cardiovasc Surg       Date:  2021-09-16       Impact factor: 5.209

4.  Characteristics of Right Ventricular Blood Flow in Patients With Chronic Thromboembolic Pulmonary Hypertension: An Analysis With 4-Dimensional Flow Cardiovascular Magnetic Resonance Imaging.

Authors:  Wenqing Xu; Xuebiao Sun; Xincao Tao; Dingyi Wang; Yanan Zhen; Xiaopeng Liu; Jing An; Wanmu Xie; Min Liu
Journal:  Front Cardiovasc Med       Date:  2022-06-15

5.  Surrogate models provide new insights on metrics based on blood flow for the assessment of left ventricular function.

Authors:  Dario Collia; Giulia Libero; Gianni Pedrizzetti; Valentina Ciriello
Journal:  Sci Rep       Date:  2022-05-24       Impact factor: 4.996

6.  Analysis of right ventricular flow with 4-dimensional flow cardiovascular magnetic resonance imaging in patients with pulmonary arterial hypertension.

Authors:  Lei Wang; Min Liu; Pei Yao Zhang; Jin Zhu Dai; Hai Yi Ma; Xin Cao Tao; Wan Mu Xie; Jun Wan; An Jing
Journal:  Quant Imaging Med Surg       Date:  2021-08

7.  Assessment of sex differences in ventricular-vascular coupling of left ventricular and aortic flow derived from 4D flow MRI in healthy, young adults.

Authors:  Ryan Pewowaruk; David Rutkowski; Cody Johnson; Amanda Wolfinger; Alejandro Roldán-Alzate
Journal:  J Biomech       Date:  2021-01-28       Impact factor: 2.712

8.  Assessment of ventricular flow dynamics by 4D-flow MRI in patients following surgical repair of d-transposition of the great arteries.

Authors:  Fraser M Callaghan; Barbara Burkhardt; Emanuela R Valsangiacomo Buechel; Christian J Kellenberger; Julia Geiger
Journal:  Eur Radiol       Date:  2021-03-30       Impact factor: 5.315

9.  Left Ventricular Flow Distribution as a Novel Flow Biomarker in Atrial Fibrillation.

Authors:  Hansuk Kim; Hana Sheitt; Stephen B Wilton; James A White; Julio Garcia
Journal:  Front Bioeng Biotechnol       Date:  2021-11-25

10.  Stent interventions for pulmonary artery stenosis improve bi-ventricular flow efficiency in a swine model.

Authors:  Ryan J Pewowaruk; Gregory P Barton; Cody Johnson; J Carter Ralphe; Christopher J Francois; Luke Lamers; Alejandro Roldán-Alzate
Journal:  J Cardiovasc Magn Reson       Date:  2021-02-25       Impact factor: 5.364

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.