Cardiac MRI in Duchenne and Becker Muscular Dystrophy.


Journal

Annals of Indian Academy of Neurology
ISSN: 0972-2327
Titre abrégé: Ann Indian Acad Neurol
Pays: India
ID NLM: 101273955

Informations de publication

Date de publication:
30 Sep 2024
Historique:
received: 09 11 2023
accepted: 11 08 2024
medline: 30 9 2024
pubmed: 30 9 2024
entrez: 30 9 2024
Statut: aheadofprint

Résumé

Cardiovascular magnetic resonance imaging (CMRI) is the noninvasive technique of choice for early detection of cardiac involvement in Duchenne and Becker muscular dystrophy (DMD and BMD, respectively), but is seldom used in routine clinical practice in the Indian context. We sought to determine the prevalence of CMRI abnormalities in patients with DMD and BMD and to compare the CMRI parameters with the phenotypic and genotypic characteristics. A prospective, observational study was conducted on patients genetically diagnosed with DMD and BMD who could complete CMRI between March 2020 and March 2022. Abnormal CMRI was the presence of any late gadolinium enhancement (LGE) that signifies myocardial fibrosis (LGE positivity), regional wall motion abnormality, or reduced left ventricular ejection fraction (LVEF <55%). A total of 46 patients were included: 38 patients with DMD and eight with BMD. Cardiac abnormality was seen in 23 (50%) patients. LGE was more common than impaired LVEF in DMD (16, 42.1%), while impaired LVEF was more common in BMD (5, 62.5%). LGE was most frequently found in lateral wall (18/19) followed by inferior (6/19), septal (5/19), anterior (2/19), and apex (1/19). Among the various clinicodemographic parameters, only age (r = 0.495, P = 0.002) and disease duration (r = 0.407, P = 0.011) were found to significantly correlate with LGE in patients with DMD. No association was found between the various CMRI parameters and the genotype. The current study highlights the differences in myocardial fibrosis and LV dysfunction between DMD and BMD, along with other CMRI parameters. Notably, a genotype-CMRI correlation was not found in the current cohort, which needs to be further explored.

Sections du résumé

BACKGROUND AND OBJECTIVES OBJECTIVE
Cardiovascular magnetic resonance imaging (CMRI) is the noninvasive technique of choice for early detection of cardiac involvement in Duchenne and Becker muscular dystrophy (DMD and BMD, respectively), but is seldom used in routine clinical practice in the Indian context. We sought to determine the prevalence of CMRI abnormalities in patients with DMD and BMD and to compare the CMRI parameters with the phenotypic and genotypic characteristics.
METHODS METHODS
A prospective, observational study was conducted on patients genetically diagnosed with DMD and BMD who could complete CMRI between March 2020 and March 2022. Abnormal CMRI was the presence of any late gadolinium enhancement (LGE) that signifies myocardial fibrosis (LGE positivity), regional wall motion abnormality, or reduced left ventricular ejection fraction (LVEF <55%).
RESULTS RESULTS
A total of 46 patients were included: 38 patients with DMD and eight with BMD. Cardiac abnormality was seen in 23 (50%) patients. LGE was more common than impaired LVEF in DMD (16, 42.1%), while impaired LVEF was more common in BMD (5, 62.5%). LGE was most frequently found in lateral wall (18/19) followed by inferior (6/19), septal (5/19), anterior (2/19), and apex (1/19). Among the various clinicodemographic parameters, only age (r = 0.495, P = 0.002) and disease duration (r = 0.407, P = 0.011) were found to significantly correlate with LGE in patients with DMD. No association was found between the various CMRI parameters and the genotype.
CONCLUSIONS CONCLUSIONS
The current study highlights the differences in myocardial fibrosis and LV dysfunction between DMD and BMD, along with other CMRI parameters. Notably, a genotype-CMRI correlation was not found in the current cohort, which needs to be further explored.

Identifiants

pubmed: 39344256
doi: 10.4103/aian.aian_988_23
pii: 02223306-990000000-00260
doi:

Types de publication

Journal Article

Langues

eng

Informations de copyright

Copyright © 2024 Copyright: © 2024 Annals of Indian Academy of Neurology.

Auteurs

Manu Santhappan Girija (MS)

Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.

Deepak Menon (D)

Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.

Kiran Polavarapu (K)

Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
Children's Hospital of Eastern Ontario Research Institute, Division of Neurology, Department of Medicine, The Ottawa Hospital, Brain and Mind Research Institute, University of Ottawa, Ottawa, ON, Canada.

Veeramani Preethish-Kumar (V)

Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.

Seena Vengalil (S)

Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.

Saraswati Nashi (S)

Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.

Madassu Keertipriya (M)

Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.

Mainak Bardhan (M)

Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.

Priya Treesa Thomas (PT)

Department of Psychiatric Social Work, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.

Valasani Ravi Kiran (VR)

Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.

Vikas Nishadham (V)

Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.

Arun Sadasivan (A)

Department of Psychiatric Social Work, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.

Akshata Huddar (A)

Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.

Gopi Krishnan Unnikrishnan (GK)

Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.

Ashita Barthur (A)

Department of Radiology, Sri Jayadeva Institute of Cardiovascular Sciences and Research, Bengaluru, Karnataka, India.

Atchayaram Nalini (A)

Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.

Classifications MeSH