Literature DB >> 21097819

Use of cardiovascular magnetic resonance for risk stratification in chronic heart failure: prognostic value of late gadolinium enhancement in patients with non-ischaemic dilated cardiomyopathy.

Stephanie Lehrke1, Dirk Lossnitzer, Michael Schöb, Henning Steen, Constanze Merten, Helmut Kemmling, Regina Pribe, Philipp Ehlermann, Christian Zugck, Grigorios Korosoglou, Evangelos Giannitsis, Hugo A Katus.   

Abstract

OBJECTIVE: Owing to its variable clinical course, risk stratification is of paramount importance in non-ischaemic dilated cardiomyopathy (DCM). The goal of this study was to investigate the long-term prognostic significance of late gadolinium enhancement (LGE) as detected by contrast-enhanced cardiovascular magnetic resonance (CE-CMR) in patients with DCM.
DESIGN: Observational cohort study. Setting University hospital. PATIENTS: 184 consecutive patients with DCM. MEASUREMENTS: CE-CMR was performed on a 1.5 T clinical scanner. Presence, extent and patterns of LGE were determined by two independent observers. OUTCOME MEASURES: Patients were followed for the composite end point of cardiac death, hospitalisation for decompensated heart failure, or appropriate implantable cardioverter defibrillator discharge for a mean±SEM of 685±30 days.
RESULTS: LGE was detected in 72/184 patients (39%) and was associated with a lower left ventricular (LV) ejection fraction (31% (20.9-42.2%) vs 44% (33.1-50.9%), p<0.001), higher LV end-diastolic volume index (133 (116-161) ml/m(2) vs 109 (92.7-137.6) ml/m(2), p<0.001) and higher LV mass (80 (67.1-94.8) g/m(2) vs 65.8 (55.2-82.9) g/m(2), p<0.001). Patients in whom LGE was present were more likely to experience the composite end point (15/72 vs 6/112, p=0.002). Receiver operating characteristic curve analysis revealed a LGE of >4.4% of LV mass as optimal discriminator for the composite end point. When entered into multivariate Cox regression analysis, LGE retained its independent predictive value, yielding an associated HR of 3.4 (95% CI 1.26 to 9).
CONCLUSION: The presence of LGE in this large DCM patient cohort is associated with pronounced LV remodelling, functional impairment and an adverse outcome. Further research is necessary to determine whether these findings will aid the clinical management of DCM patients.

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Year:  2010        PMID: 21097819     DOI: 10.1136/hrt.2010.205542

Source DB:  PubMed          Journal:  Heart        ISSN: 1355-6037            Impact factor:   5.994


  73 in total

1.  Cardiovascular magnetic resonance tagging imaging correlates with myocardial dysfunction and T2 mapping in idiopathic dilated cardiomyopathy.

Authors:  Atsushi K Kono; Pierre Croisille; Tatsuya Nishii; Koya Nishiyama; Katsusuke Kyotani; Mayumi Shigeru; Sachiko Takamine; Sei Fujiwara; Kazuro Sugimura
Journal:  Int J Cardiovasc Imaging       Date:  2014-08-26       Impact factor: 2.357

Review 2.  Non-invasive evaluation of arrhythmic risk in dilated cardiomyopathy: From imaging to electrocardiographic measures.

Authors:  Massimo Iacoviello; Francesco Monitillo
Journal:  World J Cardiol       Date:  2014-07-26

Review 3.  Distribution of late gadolinium enhancement in various types of cardiomyopathies: Significance in differential diagnosis, clinical features and prognosis.

Authors:  Hiroshi Satoh; Makoto Sano; Kenichiro Suwa; Takeji Saitoh; Mamoru Nobuhara; Masao Saotome; Tsuyoshi Urushida; Hideki Katoh; Hideharu Hayashi
Journal:  World J Cardiol       Date:  2014-07-26

4.  Cardiac computed tomography : A new player in the imaging portfolio for myocardial fibrosis.

Authors:  M Noutsias; S Mavrogeni; F Spillmann; C Tschöpe
Journal:  Herz       Date:  2016-12-19       Impact factor: 1.443

5.  Assessment of coronary flow reserve predicts long-term outcome of responders to cardiac resynchronization therapy.

Authors:  Kunio Yufu; Hidekazu Kondo; Tetsuji Shinohara; Yumi Ishii; Seiichiro Yoshimura; Ichitaro Abe; Shotaro Saito; Akira Fukui; Norihiro Okada; Hidefumi Akioka; Yasushi Teshima; Mikiko Nakagawa; Naohiko Takahashi
Journal:  Heart Vessels       Date:  2018-11-27       Impact factor: 2.037

Review 6.  The MOGE(S) classification for cardiomyopathies: current status and future outlook.

Authors:  Julian G Westphal; Angelos G Rigopoulos; Constantinos Bakogiannis; Sarah E Ludwig; Sophie Mavrogeni; Boris Bigalke; Torsten Doenst; Matthias Pauschinger; Carsten Tschöpe; P Christian Schulze; Michel Noutsias
Journal:  Heart Fail Rev       Date:  2017-11       Impact factor: 4.214

Review 7.  Heart failure in patients with normal coronary anatomy: diagnostic algorithm and disease pattern of various etiologies as defined by cardiac MRI.

Authors:  Ralf Wassmuth
Journal:  Cardiovasc Diagn Ther       Date:  2012-06

8.  Contrast-enhanced T1 mapping-based extracellular volume fraction independently predicts clinical outcome in patients with non-ischemic dilated cardiomyopathy: a prospective cohort study.

Authors:  Jong-Chan Youn; Yoo Jin Hong; Hye-Jeong Lee; Kyunghwa Han; Chi Young Shim; Geu-Ru Hong; Young Joo Suh; Jin Hur; Young Jin Kim; Byoung Wook Choi; Seok-Min Kang
Journal:  Eur Radiol       Date:  2017-04-24       Impact factor: 5.315

Review 9.  The prognostic value of late gadolinium enhancement CMR in nonischemic cardiomyopathies.

Authors:  Theodoros D Karamitsos; Stefan Neubauer
Journal:  Curr Cardiol Rep       Date:  2013-01       Impact factor: 2.931

10.  Cardiac magnetic resonance and galectin-3 level as predictors of prognostic outcomes for non-ischemic cardiomyopathy patients.

Authors:  Da-Jun Hu; Jing Xu; Wei Du; Jian-Xin Zhang; Min Zhong; Ya-Nan Zhou
Journal:  Int J Cardiovasc Imaging       Date:  2016-08-26       Impact factor: 2.357

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