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Left Ventricular Flow Analysis

Authors :
Victoria M, Stoll
Aaron T, Hess
Christopher T, Rodgers
Malenka M, Bissell
Petter, Dyverfeldt
Tino, Ebbers
Saul G, Myerson
Carl-Johan, Carlhäll
Stefan, Neubauer
Source :
Circulation. Cardiovascular imaging. 12(5)
Publication Year :
2019

Abstract

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.Patients had reduced direct flow proportion and direct-flow average KE compared with controls ( P0.0001). The residual volume proportion and residual volume average KE were increased in patients ( P0.0001). 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; RThis 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.

Details

ISSN :
19420080
Volume :
12
Issue :
5
Database :
OpenAIRE
Journal :
Circulation. Cardiovascular imaging
Accession number :
edsair.pmid..........80d0229bf1bcde2b8f0637ec31e7cdaf