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Feature Tracking Myocardial Strain Incrementally Improves Prognostication in Myocarditis Beyond Traditional CMR Imaging Features.
Fischer, Kady; Obrist, Sarah J; Erne, Sophie A; Stark, Anselm W; Marggraf, Maximilian; Kaneko, Kyoichi; Guensch, Dominik P; Huber, Adrian T; Greulich, Simon; Aghayev, Ayaz; Steigner, Michael; Blankstein, Ron; Kwong, Raymond Y; Gräni, Christoph.
Affiliation
  • Fischer K; Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland; Department of Anaesthesiology and Pain Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Obrist SJ; Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Erne SA; Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Stark AW; Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Marggraf M; Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Kaneko K; Non-invasive Cardiovascular Imaging, Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
  • Guensch DP; Department of Anaesthesiology and Pain Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland; Department of Diagnostic, Interventional and Paediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Huber AT; Department of Diagnostic, Interventional and Paediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Greulich S; Department of Cardiology and Angiology, University of Tübingen, Tübingen, Germany.
  • Aghayev A; Non-invasive Cardiovascular Imaging, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
  • Steigner M; Non-invasive Cardiovascular Imaging, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
  • Blankstein R; Non-invasive Cardiovascular Imaging, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
  • Kwong RY; Non-invasive Cardiovascular Imaging, Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
  • Gräni C; Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland; Non-invasive Cardiovascular Imaging, Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts. Electronic address: christoph.gra
JACC Cardiovasc Imaging ; 13(9): 1891-1901, 2020 09.
Article in En | MEDLINE | ID: mdl-32682718
ABSTRACT

OBJECTIVES:

This study investigated the association of cardiovascular cardiac magnetic resonance (CMR) feature tracking (FT) with outcome in a patient cohort with myocarditis and evaluated the possible incremental prognostic benefit beyond clinical features and traditional CMR features.

BACKGROUND:

CMR is used to diagnose and risk stratify patients with myocarditis. CMR-FT allows quantitative strain analysis of myocardial function; however, its prognostic benefit in myocarditis is unknown.

METHODS:

Consecutive patients with clinically suspected myocarditis and presence of midmyocardial or epicardial late gadolinium enhancement (LGE) and/or myocardial edema in CMR were included. Clinical and CMR features were analyzed with regard to major adverse cardiovascular events (MACE) (i.e., hospitalization for heart failure, sustained ventricular tachycardia, and all-cause mortality).

RESULTS:

Of 740 patients with clinically suspected myocarditis, 455 (61%) met our final diagnostic criteria based on CMR tissue characterization. At a median follow-up of 3.9 years, MACE occurred in 74 (16%) patients. In the univariable analysis, CMR-FT global longitudinal peak strain (GLS) was significantly associated with MACE. In a multivariable model adjusting for clinical variables (age, sex, body mass index, and acuteness of symptoms) and traditional CMR features (left ventricular ejection fraction [LVEF] and LGE extent), GLS remained independently associated with outcome (GLS hazard ratio 1.21; 95% confidence interval 1.08 to 1.36; p = 0.001) and incrementally improved prognostication (chi-square increases from 42.6 to 79.8 to 88.5; p < 0.001).

CONCLUSIONS:

Myocardial strain using CMR-FT provides independent and incremental prognostic value over clinical features, LVEF, and LGE in patients with myocarditis. CMR-FT may serve as a novel marker to improve risk stratification in myocarditis. (CMR Features in Patients With Suspected Myocarditis [CMRMyo]; NCT03470571).
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Myocarditis Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: JACC Cardiovasc Imaging Journal subject: ANGIOLOGIA / CARDIOLOGIA / DIAGNOSTICO POR IMAGEM Year: 2020 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Myocarditis Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: JACC Cardiovasc Imaging Journal subject: ANGIOLOGIA / CARDIOLOGIA / DIAGNOSTICO POR IMAGEM Year: 2020 Document type: Article Affiliation country:
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