Literature DB >> 28087564

Right Ventricular Ejection Fraction Is Incremental to Left Ventricular Ejection Fraction for the Prediction of Future Arrhythmic Events in Patients With Systolic Dysfunction.

Yoko Mikami1, Umjeet Jolly1, Bobak Heydari1, Mingkai Peng1, Fahad Almehmadi1, Mohammed Zahrani1, Mahmoud Bokhari1, John Stirrat1, Carmen P Lydell1, Andrew G Howarth1, Raymond Yee1, James A White2.   

Abstract

BACKGROUND: Left ventricular ejection fraction remains the primary risk stratification tool used in the selection of patients for implantable cardioverter defibrillator therapy. However, this solitary marker fails to identify a substantial portion of patients experiencing sudden cardiac arrest. In this study, we examined the incremental value of considering right ventricular ejection fraction for the prediction of future arrhythmic events in patients with systolic dysfunction using the gold standard of cardiovascular magnetic resonance. METHODS AND
RESULTS: Three hundred fourteen consecutive patients with ischemic cardiomyopathy or nonischemic dilated cardiomyopathy undergoing cardiovascular magnetic resonance were followed for the primary outcome of sudden cardiac arrest or appropriate implantable cardioverter defibrillator therapy. Blinded quantification of left ventricular and right ventricular (RV) volumes was performed from standard cine imaging. Quantification of fibrosis from late gadolinium enhancement imaging was incrementally performed. RV dysfunction was defined as right ventricular ejection fraction ≤45%. Among all patients (164 ischemic cardiomyopathy, 150 nonischemic dilated cardiomyopathy), the mean left ventricular ejection fraction was 32±12% (range, 6-54%) with mean right ventricular ejection fraction of 48±15% (range, 7-78%). At a median of 773 days, 49 patients (15.6%) experienced the primary outcome (9 sudden cardiac arrest, 40 appropriate implantable cardioverter defibrillator therapies). RV dysfunction was independently predictive of the primary outcome (hazard ratio=2.98; P=0.002). Among those with a left ventricular ejection fraction >35% (N=121; mean left ventricular ejection fraction, 45±6%), RV dysfunction provided an adjusted hazard ratio of 4.2 (P=0.02).
CONCLUSIONS: RV dysfunction is a strong, independent predictor of arrhythmic events. Among patients with mild to moderate LV dysfunction, a cohort greatly contributing to global sudden cardiac arrest burden, this marker provides robust discrimination of high- versus low-risk subjects.
© 2017 American Heart Association, Inc.

Entities:  

Keywords:  arrhythmias, cardiac; death, sudden, cardiac; magnetic resonance imaging; prognosis; ventricular dysfunction, right

Mesh:

Substances:

Year:  2017        PMID: 28087564     DOI: 10.1161/CIRCEP.116.004067

Source DB:  PubMed          Journal:  Circ Arrhythm Electrophysiol        ISSN: 1941-3084


  9 in total

Review 1.  Fibroblasts and the extracellular matrix in right ventricular disease.

Authors:  Nikolaos G Frangogiannis
Journal:  Cardiovasc Res       Date:  2017-10-01       Impact factor: 10.787

2.  Using Deep-Learning Algorithms to Simultaneously Identify Right and Left Ventricular Dysfunction From the Electrocardiogram.

Authors:  Akhil Vaid; Kipp W Johnson; Marcus A Badgeley; Sulaiman S Somani; Mesude Bicak; Isotta Landi; Adam Russak; Shan Zhao; Matthew A Levin; Robert S Freeman; Alexander W Charney; Atul Kukar; Bette Kim; Tatyana Danilov; Stamatios Lerakis; Edgar Argulian; Jagat Narula; Girish N Nadkarni; Benjamin S Glicksberg
Journal:  JACC Cardiovasc Imaging       Date:  2021-10-13

3.  Machine Learning Patient-Specific Prediction of Heart Failure Hospitalization Using Cardiac MRI-Based Phenotype and Electronic Health Information.

Authors:  Aidan K Cornhill; Steven Dykstra; Alessandro Satriano; Dina Labib; Yoko Mikami; Jacqueline Flewitt; Easter Prosio; Sandra Rivest; Rosa Sandonato; Andrew G Howarth; Carmen Lydell; Cathy A Eastwood; Hude Quan; Nowell Fine; Joon Lee; James A White
Journal:  Front Cardiovasc Med       Date:  2022-06-16

Review 4.  Multimodality imaging predictors of sudden cardiac death.

Authors:  Fancesco Bandera; Lilit Baghdasaryan; Giulia Elena Mandoli; Matteo Cameli
Journal:  Heart Fail Rev       Date:  2020-05       Impact factor: 4.214

5.  Characteristics and prognostic value of right ventricular (dys)function in patients with non-ischaemic dilated cardiomyopathy assessed with cardiac magnetic resonance imaging.

Authors:  Marthe A J Becker; Anne-Lotte C J van der Lingen; Marc Wubben; Peter M van de Ven; Albert C van Rossum; Jan H Cornel; Cornelis P Allaart; Tjeerd Germans
Journal:  ESC Heart Fail       Date:  2021-02-09

6.  Clinical impact of visually assessed right ventricular dysfunction in patients with septic shock.

Authors:  Hiroaki Hiraiwa; Daisuke Kasugai; Masayuki Ozaki; Yukari Goto; Naruhiro Jingushi; Michiko Higashi; Kazuki Nishida; Toru Kondo; Kenji Furusawa; Ryota Morimoto; Takahiro Okumura; Naoyuki Matsuda; Shigeyuki Matsui; Toyoaki Murohara
Journal:  Sci Rep       Date:  2021-09-22       Impact factor: 4.379

7.  CinE caRdiac magneTic resonAnce to predIct veNTricular arrhYthmia (CERTAINTY).

Authors:  Katherine C Wu; Hiroshi Ashikaga; Julian Krebs; Tommaso Mansi; Hervé Delingette; Bin Lou; Joao A C Lima; Susumu Tao; Luisa A Ciuffo; Sanaz Norgard; Barbara Butcher; Wei H Lee; Ela Chamera; Timm-Michael Dickfeld; Michael Stillabower; Joseph E Marine; Robert G Weiss; Gordon F Tomaselli; Henry Halperin
Journal:  Sci Rep       Date:  2021-11-22       Impact factor: 4.996

8.  Assessment of right ventricular size and function from cardiovascular magnetic resonance images using artificial intelligence.

Authors:  Shuo Wang; Daksh Chauhan; Hena Patel; Alborz Amir-Khalili; Isabel Ferreira da Silva; Alireza Sojoudi; Silke Friedrich; Amita Singh; Luis Landeras; Tamari Miller; Keith Ameyaw; Akhil Narang; Keigo Kawaji; Qiang Tang; Victor Mor-Avi; Amit R Patel
Journal:  J Cardiovasc Magn Reson       Date:  2022-04-11       Impact factor: 6.903

Review 9.  Forgotten No More-The Role of Right Ventricular Dysfunction in Heart Failure with Reduced Ejection Fraction: An Echocardiographic Perspective.

Authors:  Aura Vijiiac; Sebastian Onciul; Claudia Guzu; Alina Scarlatescu; Ioana Petre; Diana Zamfir; Roxana Onut; Silvia Deaconu; Maria Dorobantu
Journal:  Diagnostics (Basel)       Date:  2021-03-19
  9 in total

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