Literature DB >> 24829369

Extensive late gadolinium enhancement on cardiovascular magnetic resonance predicts adverse outcomes and lack of improvement in LV function after steroid therapy in cardiac sarcoidosis.

Takayuki Ise1, Takuya Hasegawa1, Yoshiaki Morita2, Naoaki Yamada2, Akira Funada1, Hiroyuki Takahama1, Makoto Amaki1, Hideaki Kanzaki1, Hideo Okamura1, Shiro Kamakura1, Wataru Shimizu1, Toshihisa Anzai1, Masafumi Kitakaze3.   

Abstract

BACKGROUND: Gadolinium-enhanced cardiovascular magnetic resonance is an emerging tool for the diagnosis of cardiac sarcoidosis (CS); however, the correlations between extent of late gadolinium enhancement (LGE) and efficacy of steroid therapy and adverse outcomes in patients with CS remain unclear.
OBJECTIVE: We aimed to clarify the prognostic impact of extent of LGE in patients with CS.
METHODS: Before the start of steroid therapy, 43 consecutive LGE-positive patients with CS were divided into two groups based on the extent of LGE by a median value: small-extent LGE (LGE mass <20% of LV mass; n=21) and large-extent LGE (LGE mass ≥20% of LV mass; n=22). We examined the correlations between extent of LGE and outcomes after steroid therapy.
RESULTS: Among the 6 patients who died from heart disorders, 11 patients who were hospitalised because of heart failure and 6 patients who suffered life-threatening arrhythmia during the follow-up period, large-extent LGE predicted higher incidences of cardiac mortality and hospitalisation for heart failure. Multivariate Cox regression analysis showed that large-extent LGE was independently associated with combined adverse outcomes including cardiac death, hospitalisation for heart failure, and life-threatening arrhythmias. In the small-extent LGE group, LV end-diastolic volume index significantly decreased and LVEF significantly increased after steroid therapy, whereas in the large-extent LGE group, neither LV volume nor LVEF changed substantially.
CONCLUSIONS: Large-extent LGE correlates with absence of LV functional improvement and high incidence of adverse outcomes in patients with CS after steroid therapy. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

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Keywords:  Myocardial Disease

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Year:  2014        PMID: 24829369     DOI: 10.1136/heartjnl-2013-305187

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


  32 in total

1.  Prognostic significance of late gadolinium enhancement quantification in cardiac magnetic resonance imaging of hypertrophic cardiomyopathy with systolic dysfunction.

Authors:  Akira Funada; Hideaki Kanzaki; Teruo Noguchi; Yoshiaki Morita; Yasuo Sugano; Takahiro Ohara; Takuya Hasegawa; Hiromi Hashimura; Hatsue Ishibashi-Ueda; Masafumi Kitakaze; Satoshi Yasuda; Hisao Ogawa; Toshihisa Anzai
Journal:  Heart Vessels       Date:  2015-03-28       Impact factor: 2.037

2.  A joint procedural position statement on imaging in cardiac sarcoidosis: from the Cardiovascular and Inflammation & Infection Committees of the European Association of Nuclear Medicine, the European Association of Cardiovascular Imaging, and the American Society of Nuclear Cardiology.

Authors:  Riemer H J A Slart; Andor W J M Glaudemans; Patrizio Lancellotti; Fabien Hyafil; Ron Blankstein; Ronald G Schwartz; Wael A Jaber; Raymond Russell; Alessia Gimelli; François Rouzet; Marcus Hacker; Olivier Gheysens; Sven Plein; Edward J Miller; Sharmila Dorbala; Erwan Donal
Journal:  J Nucl Cardiol       Date:  2018-02       Impact factor: 5.952

Review 3.  Impact of cardiac magnetic resonance imaging in non-ischemic cardiomyopathies.

Authors:  Kevin Kalisz; Prabhakar Rajiah
Journal:  World J Cardiol       Date:  2016-02-26

Review 4.  Pathophysiology and clinical management of cardiac sarcoidosis.

Authors:  Nabeel Hamzeh; David A Steckman; William H Sauer; Marc A Judson
Journal:  Nat Rev Cardiol       Date:  2015-02-24       Impact factor: 32.419

5.  Delayed contrast-enhanced computed tomography in patients with known or suspected cardiac sarcoidosis: A feasibility study.

Authors:  Tadao Aikawa; Noriko Oyama-Manabe; Masanao Naya; Hiroshi Ohira; Ayako Sugimoto; Ichizo Tsujino; Masahiko Obara; Osamu Manabe; Kohsuke Kudo; Hiroyuki Tsutsui; Nagara Tamaki
Journal:  Eur Radiol       Date:  2017-04-05       Impact factor: 5.315

6.  Assessment of the 2017 AHA/ACC/HRS Guideline Recommendations for Implantable Cardioverter-Defibrillator Implantation in Cardiac Sarcoidosis.

Authors:  Felipe Kazmirczak; Ko-Hsuan Amy Chen; Selcuk Adabag; Lisa von Wald; Henri Roukoz; David G Benditt; Osama Okasha; Afshin Farzaneh-Far; Jeremy Markowitz; Prabhjot S Nijjar; Pratik S Velangi; Maneesh Bhargava; David Perlman; Sue Duval; Mehmet Akçakaya; Chetan Shenoy
Journal:  Circ Arrhythm Electrophysiol       Date:  2019-08-21

7.  Predicting adverse cardiac events in sarcoidosis: deep learning from automated characterization of regional myocardial remodeling.

Authors:  Chenying Lu; Yi Grace Wang; Fahim Zaman; Xiaodong Wu; Mehul Adhaduk; Amanda Chang; Jiansong Ji; Tiemin Wei; Promporn Suksaranjit; Georgios Christodoulidis; Ernest Scalzetti; Yuchi Han; David Feiglin; Kan Liu
Journal:  Int J Cardiovasc Imaging       Date:  2022-02-22       Impact factor: 2.357

8.  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

Review 9.  Prognostic Value of Myocardial Scarring on CMR in Patients With Cardiac Sarcoidosis.

Authors:  G Cameron Coleman; Peter W Shaw; Pelbreton C Balfour; Jorge A Gonzalez; Christopher M Kramer; Amit R Patel; Michael Salerno
Journal:  JACC Cardiovasc Imaging       Date:  2016-07-20

10.  Myocardial contractile patterns predict future cardiac events in sarcoidosis.

Authors:  Jian Chen; Juan Lei; Ernest Scalzetti; Mary McGrath; David Feiglin; Robert Voelker; Jingfeng Wang; Michael C Iannuzzi; Kan Liu
Journal:  Int J Cardiovasc Imaging       Date:  2017-09-09       Impact factor: 2.357

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