An electronic health record cohort of Veterans with amyotrophic lateral sclerosis
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - year:2023 |
|---|---|
| Enthalten in: |
Amyotrophic lateral sclerosis & frontotemporal degeneration - (2023) vom: 09. Aug., Seite 1-7 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Reimer, Richard J [VerfasserIn] |
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| Links: |
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| Themen: |
Amyotrophic lateral sclerosis |
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| Anmerkungen: |
Date Revised 09.08.2023 published: Print-Electronic Citation Status Publisher |
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| doi: |
10.1080/21678421.2023.2239300 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM360551831 |
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| 100 | 1 | |a Reimer, Richard J |e verfasserin |4 aut | |
| 245 | 1 | 3 | |a An electronic health record cohort of Veterans with amyotrophic lateral sclerosis |
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| 500 | |a Date Revised 09.08.2023 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status Publisher | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Amyotrophic lateral sclerosis | |
| 650 | 4 | |a electronic health records | |
| 650 | 4 | |a veteran health | |
| 700 | 1 | |a Goncalves, Andre |e verfasserin |4 aut | |
| 700 | 1 | |a Soper, Braden |e verfasserin |4 aut | |
| 700 | 1 | |a Cadena, Jose |e verfasserin |4 aut | |
| 700 | 1 | |a Wilson, Jennifer L |e verfasserin |4 aut | |
| 700 | 1 | |a Gryshuk, Amy L |e verfasserin |4 aut | |
| 700 | 1 | |a Suarez, Paola |e verfasserin |4 aut | |
| 700 | 1 | |a Osborne, Thomas F |e verfasserin |4 aut | |
| 700 | 1 | |a Grimes, Kevin V |e verfasserin |4 aut | |
| 700 | 1 | |a Ray, Priyadip |e verfasserin |4 aut | |
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