Literature DB >> 29398688

Late Gadolinium Enhancement for Prediction of Mutation-Positive Hypertrophic Cardiomyopathy on the Basis of Panel-Wide Sequencing.

Ryota Teramoto1, Noboru Fujino1, Tetsuo Konno1, Akihiro Nomura1, Yoji Nagata1, Toyonobu Tsuda1, Hayato Tada1, Kenji Sakata1, Masakazu Yamagishi1, Kenshi Hayashi1, Masa-Aki Kawashiri1.   

Abstract

BACKGROUND: Cardiac magnetic resonance (CMR) with late gadolinium enhancement (LGE) revealed a substantial variation in the extent of myocardial scarring, a pathological hallmark of hypertrophic cardiomyopathy (HCM). However, few data exist regarding the relationship between the presence of gene mutations and the extent of LGE. Therefore, we aimed to investigate whether variations in the extent of LGE in HCM patients can be explained by the presence or absence of disease-causing mutations.Methods and 
Results: We analyzed data from 82 unrelated HCM patients who underwent both LGE-CMR and next-generation sequencing. We identified disease-causing sarcomere gene mutations in 44 cases (54%). The extent of LGE on CMR was an independent factor for predicting mutation-positive HCM (odds ratio 2.12 [95% confidence interval 1.51-3.83], P<0.01). The area under the curve of %LGE was greater than that of the conventional Toronto score for predicting the presence of a mutation (0.96 vs. 0.69, P<0.01). Sensitivity, specificity, positive predictive value, and negative predictive value of %LGE (cutoff >8.1%) were 93.2%, 89.5%, 91.1%, and 91.9%, respectively.
CONCLUSIONS: The results demonstrated that %LGE clearly discriminated mutation-positive from mutation-negative HCM in a clinically affected HCM population. HCM with few or no myocardial scars may be genetically different from HCM with a higher incidence of myocardial scars.

Entities:  

Keywords:  Cardiac magnetic resonance imaging; Fibrosis; Hypertrophic cardiomyopathy

Mesh:

Substances:

Year:  2018        PMID: 29398688     DOI: 10.1253/circj.CJ-17-1012

Source DB:  PubMed          Journal:  Circ J        ISSN: 1346-9843            Impact factor:   2.993


  3 in total

1.  Distinct Subgroups in Hypertrophic Cardiomyopathy in the NHLBI HCM Registry.

Authors:  Stefan Neubauer; Paul Kolm; Carolyn Y Ho; Raymond Y Kwong; Milind Y Desai; Sarahfaye F Dolman; Evan Appelbaum; Patrice Desvigne-Nickens; John P DiMarco; Matthias G Friedrich; Nancy Geller; Andrew R Harper; Petr Jarolim; Michael Jerosch-Herold; Dong-Yun Kim; Martin S Maron; Jeanette Schulz-Menger; Stefan K Piechnik; Kate Thomson; Cheng Zhang; Hugh Watkins; William S Weintraub; Christopher M Kramer
Journal:  J Am Coll Cardiol       Date:  2019-11-12       Impact factor: 24.094

2.  Derivation and Validation of a Screening Model for Hypertrophic Cardiomyopathy Based on Electrocardiogram Features.

Authors:  Lanyan Guo; Chao Gao; Weiping Yang; Zhiling Ma; Mengyao Zhou; Jianzheng Liu; Hong Shao; Bo Wang; Guangyu Hu; Hang Zhao; Ling Zhang; Xiong Guo; Chong Huang; Zhe Cui; Dandan Song; Fangfang Sun; Liwen Liu; Fuyang Zhang; Ling Tao
Journal:  Front Cardiovasc Med       Date:  2022-05-24

Review 3.  Fibrosis in hypertrophic cardiomyopathy: role of novel echo techniques and multi-modality imaging assessment.

Authors:  Efstathios D Pagourelias; Georgios M Alexandridis; Vassilios P Vassilikos
Journal:  Heart Fail Rev       Date:  2021-05-15       Impact factor: 4.214

  3 in total

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