Rurality modifies the association between symptoms and the diagnosis of amyotrophic lateral sclerosis

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OBJECTIVE: We utilized national claims-based data to identify the change in odds of diagnosis of ALS following possible-ALS-symptoms-and whether the change varies in urban/rural areas. METHODS: Insurance claims were obtained from the Merative MarketScan databases, 2001-2021 in the United States. Individuals with incident ALS were identified and matched on age, sex, and enrollment period to individuals without ALS. For all individuals, claims for 8 possible-ALS-symptoms in the time before any ALS diagnosis were identified. We then used conditional logistic regression to estimate the odds of being diagnosed with ALS following these symptoms and whether the association varied by urban/rural location. RESULTS: 19,226 individuals with ALS were matched to 96,126 controls. Patients with ALS were more likely to live in an urban area (87.0% vs 84.5%). Of those with ALS 84% had 1+ of our 8 possible-ALS-symptom compared to 51% of controls. After adjustment for confounders, having possible-ALS-symptoms increased the odds of a future ALS diagnosis by nearly 5-fold. A dose-response pattern was present with increasing odds as the number of symptoms increased. In all models, urban areas were associated with increased odds of diagnosis with ALS while the effect of having a symptom was smaller in urban places. Urban cases of ALS are diagnosed at younger ages. CONCLUSIONS: These results suggest symptoms may appear and be noted years before the diagnosis of ALS. Additionally, rural patients are diagnosed at later ages with a greater dependence on symptoms than urban patients. These results highlight potential improvements for screening for ALS.

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