A geographical study on amyotrophic lateral sclerosis in Rio Grande Do Norte, Brazil, from 2005 to 2018

Amyotroph Lateral Scler Frontotemporal Degener. 2023 Feb;24(1-2):117-124. doi: 10.1080/21678421.2022.2102429. Epub 2022 Aug 2.

Abstract

Objective: amyotrophic lateral sclerosis (ALS) is a rare and fatal neurodegenerative disorder with variable incidence and prevalence worldwide. However, clinical-epidemiological studies on ALS are scarce in Brazil. Thus, this study investigated whether ALS incidence had uniform spatial distribution in population-based cluster analysis in Rio Grande do Norte state (Brazil), from 2005 to 2018.

Methods: new cases of ALS were identified in a database of the ALS multidisciplinary care center of the Onofre Lopes University Hospital in Natal (Rio Grande do Norte, Brazil). Approaches were based on incidence (empirical Bayes estimator and Moran's I analysis) and cluster analyses (Moran scatter plot and spatial correlogram).

Results: a total of 177 patients (59% males) participated in the study; the mean age of ALS onset was 57 years. Mean annual incidence of ALS was 0.3769 per 100,000 inhabitants (95% confidence interval of 0.0889), higher in males than in females (0.4516 per 100,000 vs. 0.3044 per 100,000). According to spatial statistics, patients were homogeneously distributed throughout the studied area.

Conclusion: a low estimate was observed compared with other populations. Results did not indicate areas of increased risk or significant spatial geographic dependence, suggesting a random ALS incidence in Rio Grande do Norte.

Keywords: Amyotrophic lateral sclerosis; epidemiology; incidence; motor neuron disease; spatial analysis.

MeSH terms

  • Amyotrophic Lateral Sclerosis* / epidemiology
  • Bayes Theorem
  • Brazil / epidemiology
  • Female
  • Humans
  • Incidence
  • Male
  • Middle Aged
  • Prevalence