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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/27650

Title: Current animal models for the study of congestion in heart failure: an overview
Authors: Cops, Jirka
Haesen, Sibren
De Moor, Bart
Mullens, Wilfried
Hansen, Dominique
Issue Date: 2019
Citation: HEART FAILURE REVIEWS, 24 (3), p. 387-397
Status: Early View
Abstract: Congestion (i.e., backward failure) is an important culprit mechanism driving disease progression in heart failure. Nevertheless, congestion remains often underappreciated and clinicians underestimate the importance of congestion on the pathophysiology of decompensation in heart failure. In patients, it is however difficult to study how isolated congestion contributes to organ dysfunction, since heart failure and chronic kidney disease very often coexist in the so-called cardiorenal syndrome. Here, we review the existing relevant and suitable backward heart failure animal models to induce congestion, induced in the left- (i.e., myocardial infarction, rapid ventricular pacing) or right-sided heart (i.e., aorta-caval shunt, mitral valve regurgitation, and monocrotaline), and more specific animal models of congestion, induced by saline infusion or inferior vena cava constriction. Next, we examine critically how representative they are for the clinical situation. After all, a relevant animal model of isolated congestion offers the unique possibility of studying the effects of congestion in heart failure and the cardiorenal syndrome, separately from forward failure (i.e., impaired cardiac output). In this respect, new treatment options can be discovered.
Notes: Cops, J (reprint author), Hasselt Univ, Fac Med & Life Sci, BIOMED Biomed Res Inst, Diepenbeek, Belgium. Hasselt Univ, Doctoral Sch Med & Life Sci, Diepenbeek, Belgium. Hasselt Univ, BIOMED, Martelarenlaan 42, B-3500 Hasselt, Belgium. jirka.cops@uhasselt.be
URI: http://hdl.handle.net/1942/27650
DOI: 10.1007/s10741-018-9762-4
ISI #: 000465250100009
ISSN: 1382-4147
Category: A1
Type: Journal Contribution
Appears in Collections: PhD theses
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