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Autism spectrum disorders are prevalent among patients with dystrophinopathies

Overview of attention for article published in Neurological Sciences, March 2018
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Title
Autism spectrum disorders are prevalent among patients with dystrophinopathies
Published in
Neurological Sciences, March 2018
DOI 10.1007/s10072-018-3341-2
Pubmed ID
Authors

Haruo Fujino, Toshio Saito, Tsuyoshi Matsumura, Saki Shibata, Yuko Iwata, Harutoshi Fujimura, Osamu Imura

Abstract

Recent studies have reported a higher prevalence of autism spectrum disorders among patients with dystrophinopathies. The aim of this study was to investigate the prevalence of autism spectrum disorder (ASD) among those with dystrophinopathies. The possible role of dystrophin isoforms in patients was also explored. Fifty-six patients recruited from Toneyama National Hospital were included in this study (mean age = 12.9 years, SD = 5.2 years). Autistic symptoms were evaluated using the Pervasive Developmental Disorders/Autism Spectrum Disorders Rating Scale (PARS), a clinician rating scale. Eleven patients (19.6%; 95% confidence interval 10.2-32.4) met the criteria for ASD based on their PARS scores. Patients were separated into two groups based on the cumulative loss of dystrophin isoforms predicted from the mutation location. The prevalence of ASD was examined between these groups. Infantile and current autistic symptoms did not differ between the groups, except on one subscale of the PARS. This study revealed that there was a high prevalence of ASD in patients with dystrophinopathies.

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The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 21%
Student > Master 10 18%
Student > Ph. D. Student 6 11%
Student > Doctoral Student 3 5%
Unspecified 3 5%
Other 8 14%
Unknown 15 26%
Readers by discipline Count As %
Psychology 10 18%
Medicine and Dentistry 7 12%
Nursing and Health Professions 5 9%
Neuroscience 4 7%
Unspecified 3 5%
Other 11 19%
Unknown 17 30%