Hip and knee replacement in patients with neurodegenerative disease: A nationwide register-based case-control study

Introduction.– It is still difficult to predict which MCI patients will develop AD. This work shows that an accelerometer could help the clinician to early identify gait parameters that predict AD conversion. Methods.–Gait parametersmeasured in simple task (ST) and in dual task (DT) (counting backward) were studied in MCI subjects followed up from 2007 to 2011.At baseline (2007), gait parameters were assessedwith an accelerometer (Locometrix®). Patients were considered as converters when they developed AD (between 2007 and 2011); and non-converters if not. Baseline gait parameters were compared between these two groups using Mann-Whitney non-parametric U-Test. Results.– In all, 23MCI patientswere studied. Among them15 experienced conversion into AD. In ST, gait speedwas 1.29m/s in the NC group versus 1.15m/s in C group, and cadencewas 0.95 intoNCversus 0.89 cycle/s into C. In DT, gait speedwas 1.18m/s intoNC versus 1.01m/s into C, and cadence was 0.89 versus 0.80 cycle/s into NC and symmetry (which expresses the similarity between left strides to right strides) was 201 in NC and 220 in C. All these comparisons present a P-value <0.05. Conclusions.– In our population, gait parameters obtained with an accelerometer (especially the gait speed and the cadence) could predict the risk to develop AD in the MCI patients.