TY - JOUR
T1 - Cognitive impairment is associated with gait variability and fall risk in amyotrophic lateral sclerosis
AU - Dubbioso, Raffaele
AU - Spisto, Myriam
AU - Hausdorff, Jeffrey M.
AU - Aceto, Gabriella
AU - Iuzzolino, Valentina Virginia
AU - Senerchia, Gianmaria
AU - De Marco, Stefania
AU - Marcuccio, Laura
AU - Femiano, Cinzia
AU - Iodice, Rosa
AU - Salvatore, Elena
AU - Santangelo, Gabriella
AU - Trojano, Luigi
AU - Moretta, Pasquale
N1 - Publisher Copyright:
© 2023 The Authors. European Journal of Neurology published by John Wiley & Sons Ltd on behalf of European Academy of Neurology.
PY - 2023/10
Y1 - 2023/10
N2 - 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.
AB - 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.
KW - amyotrophic lateral sclerosis
KW - cognition
KW - falls
KW - gait analysis
KW - wearable sensors
UR - http://www.scopus.com/inward/record.url?scp=85163033909&partnerID=8YFLogxK
U2 - 10.1111/ene.15936
DO - 10.1111/ene.15936
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C2 - 37335396
AN - SCOPUS:85163033909
SN - 1351-5101
VL - 30
SP - 3056
EP - 3067
JO - European Journal of Neurology
JF - European Journal of Neurology
IS - 10
ER -