Abstract Details

Title Population Based Surveillance and Survival Characteristics of Amyotrophic Lateral Sclerosis (ALS) Cases in the Atlanta Metropolitan Area, 2009 – 2011

Topic Neuromuscular and Clinical Neurophysiology (EMG)

Presentation(s) P4 - Poster Session 4 (5:30 PM-6:30 PM)

Poster/Presentation
Number 12-025

Objective To understand incidence, prevalence, and survival characteristics of ALS cases in the Atlanta Metropolitan area.

Background ALS is a rare and difficult to diagnose neurological disease with unknown etiology. ATSDR maintains the National ALS Registry and funded state and metropolitan surveillance projects (SMSP) to better describe ALS in 11 defined geographic areas.

Design/Methods As a part of SMSP, neurologists in the Atlanta Metropolitan area (Clayton, Cobb, DeKalb, Fulton, and Gwinnett counties) completed case reports for ALS patients in their care from January 1, 2009 through December 31, 2011. National Death Index (NDI) data on vital status and date of death were used for the prevalence and incidence calculations. Incidence and prevalence rates were calculated for 2009, 2010 and 2011 by sex, race, and ethnicity. Using NDI data, survival time was calculated for age group, sex, race, ethnicity, and El Escorial diagnosis criteria group.

Results There were 281 unique cases of ALS reported with the majority of cases being white, male, non-Hispanic, and ages 50-59. The crude incidence rates for 2009, 2010, and 2011 were 1.49, 1.66, and 1.46 per 100,000 person-years, respectively, with an overall incidence rate of 1.54. The prevalence rate increased from 5.05 per 100,000 population in 2009 to 5.56 in 2011. Those cases in the 18-39 age group, males, Asians, and non-Hispanics had the highest median survival times. As of December 31, 2015, 72.6% of the cases were deceased, with an overall median survival time of 23 months and a median survival time of 34.6 months. The log-rank tests for homogeneity across strata indicate a statistical significance between strata for the age category for survival time.

Conclusions This project has similar findings to other population-based studies in the US. Although Atlanta was selected to over-represent a minority population, the greatest predictor of survival time was age at diagnosis.

Authors/Disclosures
Alex Exuzides PRESENTER	Alex Exuzides has nothing to disclose.
Wendy E. Kaye, PhD (McKing Consulting Corp)	Dr. Kaye has received personal compensation for serving as an employee of McKing Consulting Corporation. Dr. Kaye has received personal compensation in the range of $500-$4,999 for serving as a Consultant for Association for the Protection of Human Research Participants.
Laurie Wagner (McKing Consulting Corporation)	Laurie Wagner has nothing to disclose.
	No disclosure on file

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