Background: In amyotrophic lateral sclerosis (ALS), gait abnormalities contribute to poor mobility and represent a relevant risk for falls. To date, gait studies in ALS patients have focused on the motor dimension of the disease, underestimating the cognitive aspects. Methods: Using a wearable gait analysis device, we compared gait patterns in ambulatory ALS patients with mild cognitive impairment (ALS MCI+; n = 18), and without MCI (ALS MCI-; n = 24), and healthy subjects (HS; n = 16) under two conditions: (1) normal gait (single task) and (2) walking while counting backward (dual task). Finally, we examined if the occurrence and number of falls in the 3 months following the baseline test were related to cognition. Results: In the single task condition, ALS patients, regardless of cognition, displayed higher gait variability than HS, especially for stance and swing time (p < 0.001). The dual task condition revealed additional differences in gait variability parameters between ALS MCI+ and ALS MCI- for cadence (p = 0.005), stance time (p = 0.04), swing time (p = 0.04) and stability index (p = 0.02). Moreover, ALS MCI+ showed a higher occurrence (p = 0.001) and number of falls (p < 0.001) at the follow-up. Regression analyses demonstrated that MCI condition predicted the occurrence of future falls (β = 3.649; p = 0.01) and, together with executive dysfunction, was associated with the number of falls (cognitive impairment: β = 0.63; p < 0.001; executive dysfunction: β = 0.39; p = 0.03), regardless of motor impairment at clinical examination. Conclusion: In ALS, MCI is associated with exaggerated gait variability and predicts the occurrence and number of short-term falls.


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    Titel :

    Cognitive impairment is associated with gait variability and fall risk in amyotrophic lateral sclerosis


    Beteiligte:
    Raffaele Dubbioso (Autor:in) / Myriam Spisto (Autor:in) / Jeffrey M. Hausdorff (Autor:in) / Gabriella Aceto (Autor:in) / Valentina Virginia Iuzzolino (Autor:in) / Gianmaria Senerchia (Autor:in) / Stefania De (Autor:in) / Marco (Autor:in) / Laura Marcuccio (Autor:in) / Cinzia Femiano (Autor:in)

    Erscheinungsdatum :

    2023-01-01



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629



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