Lagrue E, Dogan C, De Antonio M, Audic F, Bach N, Barnerias
C, Bellance R, Cances C, Chabrol B, Cuisset JM, Desguerre I, Durigneux J,
Espil C, Fradin M, Héron D, Isapof A, Jacquin-Piques A, Journel H,
Laroche-Raynaud C, Laugel V, Magot A, Manel V, Mayer M, Péréon Y, Perrier-Boeswillald J,
Peudenier S, Quijano-Roy S, Ragot-Mandry S, Richelme C, Rivier F,
Sabouraud P, Sarret C, Testard H, Vanhulle C, Walther-Louvier U, Gherardi R,
Hamroun D, Bassez G. A large multicenter study of pediatric myotonic dystrophy type
1 for evidence-based management. Neurology. 2019 Feb 19;92(8):e852-e865.
Abstract
OBJECTIVE:
To genotypically and phenotypically characterize a large
pediatric myotonic dystrophy type 1 (DM1) cohort to provide a solid frame of
data for future evidence-based health management.
METHODS:
Among the 2,697 patients with genetically confirmed DM1
included in the French DM-Scope registry, children were enrolled between
January 2010 and February 2016 from 24 centers. Comprehensive cross-sectional
analysis of most relevant qualitative and quantitative variables was performed.
RESULTS:
We studied 314 children (52% females, with 55% congenital,
31% infantile, 14% juvenile form). The age at inclusion was inversely
correlated with the CTG repeat length. The paternal transmission rate was
higher than expected, especially in the congenital form (13%). A continuum of
highly prevalent neurodevelopmental alterations was observed, including
cognitive slowing (83%), attention deficit (64%), written language (64%), and
spoken language (63%) disorders. Five percent exhibited autism spectrum
disorders. Overall, musculoskeletal impairment was mild. Despite low
prevalence, cardiorespiratory impairment could be life-threatening, and
frequently occurred early in the first decade (25.9%). Gastrointestinal
symptoms (27%) and cataracts (7%) were more frequent than expected, while
endocrine or metabolic disorders were scarce.
CONCLUSIONS:
The pedDM-Scope study details the main genotype and
phenotype characteristics of the 3 DM1 pediatric subgroups. It highlights
striking profiles that could be useful in health care management (including
transition into adulthood) and health policy planning.
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