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Characterization of individuals with selected muscular dystrophies from the expanded pilot of the Muscular Dystrophy Surveillance, Tracking and Research Network (MD STARnet) in the United States.
Wallace, Bailey; Smith, K Tiffany; Thomas, Shiny; Conway, Kristin M; Westfield, Christina; Andrews, Jennifer G; Weinert, Richard O; Do, Thuy Quynh N; Street, Natalie.
Afiliação
  • Wallace B; Oak Ridge Institute for Science and Education, Atlanta, Georgia, USA.
  • Smith KT; Centers for Disease Control and Prevention (CDC), National Center on Birth Defects and Developmental Disabilities, Atlanta, Georgia, USA.
  • Thomas S; Centers for Disease Control and Prevention (CDC), National Center on Birth Defects and Developmental Disabilities, Atlanta, Georgia, USA.
  • Conway KM; Carter Consulting, Inc., Atlanta, Georgia, USA.
  • Westfield C; New York State Department of Health, Albany, New York, USA.
  • Andrews JG; Department of Epidemiology, The University of Iowa, Iowa City, Iowa, USA.
  • Weinert RO; Department of Pediatrics, University of Arizona, Tucson, Arizona, USA.
  • Do TQN; Department of Pediatrics, University of Arizona, Tucson, Arizona, USA.
  • Street N; Colorado Department of Public Health and Environment (CDPHE), Denver, Colorado, USA.
Birth Defects Res ; 113(7): 560-569, 2021 04 15.
Article em En | MEDLINE | ID: mdl-32710484
ABSTRACT

INTRODUCTION:

Data on muscular dystrophies (MDs), a heterogeneous group of heritable diseases hallmarked by progressive muscle deterioration, are scarce.

OBJECTIVE:

We describe cross-sectional sociodemographic and clinical characteristics of individuals with congenital, distal, Emery-Dreifuss, facioscapulohumeral, limb-girdle, myotonic, or oculopharyngeal MD.

METHODS:

The study was conducted in four sites (Arizona, Colorado, Iowa, and 12 western New York counties) as a pilot expansion of the Muscular Dystrophy Surveillance, Tracking and Research Network, funded by the Centers for Disease Control and Prevention. MDs were detected in healthcare facilities and administrative data sources using International Classification of Disease codes. Our sample contains 1,723 individuals with a MD diagnosis and a healthcare encounter between January 1, 2007 and December 31, 2011. RESULTS AND

CONCLUSIONS:

Individuals were mostly non-Hispanic and white. Median ages ranged from 9.2 to 66.0 years. Most (98%) had health insurance. The proportion of individuals who were disabled or unable to work increased with age (range 8.6-46.4%). People with limb-girdle MD aged ≥18 years were more likely to be nonambulatory (range 24.5-44.7%). The percentages of individuals with documented clinical interventions during the surveillance period were low. The most common cause of death was respiratory causes (46.3-57.1%); an ICD-10 code for MD (G71.1 or G71.0) was reported for nearly one-half. Our findings show wide variability in sociodemographic and clinical characteristics across MDs.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Distrofia Muscular de Duchenne País/Região como assunto: America do norte Idioma: En Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Distrofia Muscular de Duchenne País/Região como assunto: America do norte Idioma: En Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos