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April 08, 2014; 82 (10 Supplement) April 29, 2014

Amyotrophic Lateral Sclerosis (ALS) Estimates from National Databases in the United States - 2001-2010 (P2.072)

Marchelle Sanchez, Paul Mehta, Wendy Kaye, Vinicius Antao, D. Kevin Horton
First published April 9, 2014,
Marchelle Sanchez
1ATSDR/CDC Atlanta GA United States
2ATSDR/CDC Atlanta GA United States
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Paul Mehta
1ATSDR/CDC Atlanta GA United States
2ATSDR/CDC Atlanta GA United States
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Wendy Kaye
3McKing Consulting Corporation Atlanta GA United States
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Vinicius Antao
1ATSDR/CDC Atlanta GA United States
2ATSDR/CDC Atlanta GA United States
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D. Kevin Horton
1ATSDR/CDC Atlanta GA United States
2ATSDR/CDC Atlanta GA United States
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Citation
Amyotrophic Lateral Sclerosis (ALS) Estimates from National Databases in the United States - 2001-2010 (P2.072)
Marchelle Sanchez, Paul Mehta, Wendy Kaye, Vinicius Antao, D. Kevin Horton
Neurology Apr 2014, 82 (10 Supplement) P2.072;

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Abstract

Objective - To present preliminary ALS estimates from national databases in the United States. Background - The uncertainty about the incidence and prevalence of amyotrophic lateral sclerosis (ALS) in the United States, as well as lack of knowledge about the role of environmental exposures in the etiology of ALS, have created a need for data collection through a national ALS registry. In 2008, the Agency for Toxic Substances and Disease Registry (ATSDR) conducted four pilot projects to determine the feasibility of creating a national registry. It showed that approximately 80% of ALS patients can be found through national databases. The first approach utilizes existing national administrative databases to identify prevalent cases. The second approach uses a secure web portal to identify cases not included in the national databases. This latter approach allows patients to self-identify and enroll in the ALS registry and take risk factor surveys. Design/Methods - We sought to identify U.S. residents with ALS in Medicare, Medicaid, Veterans Health Administration (VHA), and Veterans Benefits Administration (VBA) databases for the years 2001-2010. Records were searched and identified in these databases for ALS and Motor Neuron Disease (MND) codes. Results - A total of 147,889 individuals, with any MND code, were identified across the four national databases. Medicare contributed the largest number of individuals. The total number of individuals identified having ALS was 36,547, which is 24.7% of the total number of individuals identified with any MND. Conclusions - This is the first effort to identify ALS cases for a national registry. The number of individuals identified via the national administrative databases is not a prevalence estimate; however, it does indicate that a large portion of ALS individuals can be identified for the National ALS Registry by using the national databases selected.

Disclosure: Dr. Sanchez has nothing to disclose. Dr. Mehta has nothing to disclose. Dr. Kayehas received personal compensation for activities with McKing Consulting Corporation as an employee. Dr. Antao has nothing to disclose. Dr. Horton has nothing to disclose.

Tuesday, April 29 2014, 7:30 am-11:00 am

  • Copyright © 2014 by AAN Enterprises, Inc.

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