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An electronic health record cohort of Veterans with amyotrophic lateral sclerosis.
Reimer, Richard J; Goncalves, Andre; Soper, Braden; Cadena, Jose; Wilson, Jennifer L; Gryshuk, Amy L; Suarez, Paola; Osborne, Thomas F; Grimes, Kevin V; Ray, Priyadip.
Afiliação
  • Reimer RJ; Department of Neurology and Neurological Sciences, Stanford and Division of Neurology, Stanford University School of Medicine, Veterans Affairs Palo Alto Health Care System, Stanford, CA, USA.
  • Goncalves A; Computational Engineering, Engineering Directorate, Lawrence Livermore National Laboratory, Livermore, CA, USA.
  • Soper B; Center for Applied Scientific Computing, Computing Directorate, Lawrence Livermore National Laboratory, Livermore, CA, USA.
  • Cadena J; Computational Engineering, Engineering Directorate, Lawrence Livermore National Laboratory, Livermore, CA, USA.
  • Wilson JL; Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA.
  • Gryshuk AL; Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA, USA.
  • Suarez P; National Center for Collaborative Healthcare Innovation, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA.
  • Osborne TF; Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
  • Grimes KV; National Center for Collaborative Healthcare Innovation and Division of Radiology, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA, and.
  • Ray P; Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA, USA.
Article em En | MEDLINE | ID: mdl-37555559
ABSTRACT

Objective:

To assemble and characterize an electronic health record (EHR) dataset for a large cohort of US military Veterans diagnosed with ALS (Amyotrophic Lateral Sclerosis).

Methods:

An EHR dataset for 19,662 Veterans diagnosed with ALS between January 1, 2000 to December 31, 2020 was compiled from the Veterans Health Administration (VHA) EHR database by a query for ICD9 diagnosis (335.20) or ICD10 diagnosis (G12.21) for Amyotrophic Lateral Sclerosis.

Results:

The cohort is predominantly male (98.94%) and white (72.37%) with a median age at disease onset of 68 years and median survival from the date of diagnosis of 590 days. With the designation of ALS as a compensable illness in 2009, there was a subsequent increase in the number of Veterans diagnosed per year in the VHA, but no change in median survival. The cohort included a greater-than-expected proportion of individuals whose branch of service at the time of separation was the Army.

Conclusions:

The composition of the cohort reflects the VHA population who are at greatest risk for ALS. The greater than expected proportion of individuals whose branch of service at the time of separation was the Army suggests the possibility of a branch-specific risk factor for ALS.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Revista: Amyotroph Lateral Scler Frontotemporal Degener Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Revista: Amyotroph Lateral Scler Frontotemporal Degener Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos