Abstract

Given the limited power of neuropsychological tests, there is a need for a simple, reliable means, such as gait, to identify mild dementia and its subtypes. However, gait characteristics of patients with post-stroke dementia (PSD) and Alzheimer’s disease (AD) are unclear. We sought to describe their gait signatures and to explore gait parameters distinguishing PSD from post-stroke non-dementia (PSND) and patients with AD. We divided 3-month post-stroke patients into PSND and PSD groups based on the Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), and the activity of daily living (ADL). Thirty-one patients with AD and thirty-two healthy controls (HCs) were also recruited. Ten gait parameters in one single and two dual-task gait tests (counting-backward or naming-animals while walking) were compared among the groups, with adjustment for baseline demographic covariates and the MMSE score. The area under the receiver operating characteristic curve (AUC) was used to identify parameters discriminating PSD from individuals with PSND and AD. Patients with PSD and patients with AD showed impaired stride length, velocity, stride time, and cadence while patients with PSD had altered stance and swing phase proportions (all p ≤ 0.01, post hoc). Patients with AD had smaller toe-off (ToA) and heel-to-ground angles (HtA) (p ≤ 0.01) than HCs in dual-task gait tests. Individuals with PSD had a shorter stride length, slower velocity, and altered stance and swing phase percentages in all tests (p ≤ 0.01), but a higher coefficient of variation of stride length (CoVSL) and time (CoVST) only in the naming animals-task gait test (p ≤ 0.001) than individuals with PSND. ToA and HtA in the naming animals-task gait test were smaller in individuals with AD than those with PSD (p ≤ 0.01). Statistical significance persisted after adjusting for demographic covariates, but not for MMSE. The pace and the percentage of stance or swing phase in all tests, CoVST in the dual-task paradigm, and CoVSL only in the naming animals-task gait test (moderate accuracy, AUC > 0.700, p ≤ 0.01) could distinguish PSD from PSND. Furthermore, the ToA and HtA in the naming animals-task gait paradigm discriminated AD from PSD (moderate accuracy, AUC > 0.700, p ≤ 0.01). Thus, specific gait characteristics could allow early identification of PSD and may allow non-invasive discrimination between PSD and AD, or even other subtypes of dementia.

Highlights

  • 50 million people suffer from dementia (WHO, 2018)

  • We introduced parameters, i.e., the toe-off angle (ToA) and heel-to-ground angle (HtA), respectively, measured at the moment of initiation or end of the swing phase, which has not been reported in previous studies of post-stroke dementia (PSD) and Alzheimer’s disease (AD), to the best of our knowledge

  • The activities of daily living of PSD and AD were significantly different from healthy control subjects (HCs) and post-stroke non-dementia (PSND), respectively (p ≤ 0.001, post hoc, Table 1)

Read more

Summary

Introduction

50 million people suffer from dementia (WHO, 2018). It is one of the major causes of disability and mortality among aging adults (WHO, 2018). Diagnosis depends on the temporal relationship of the disease symptoms with imaging examination findings and neuropsychological tests (Emrani et al, 2020; Ismail et al, 2020). Early diagnosis of post-stroke dementia (PSD) and mild AD is difficult because of the limited sensitivity of the cognitive function scales, under repetitive interview conditions. Overlapping symptoms and imaging manifestations, multifactorial causes, and homogeneity of the histopathology limit the accuracy of distinguishing among dementia subtypes. There is no specific biomarker that can robustly identify vulnerable patients with PSD from patients with post-ischemic stroke or non-PSD dementia subtypes. There is a need to identify safe, reliable, and effective clinical markers to enhance diagnostic accuracy

Objectives
Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call