Clinical value of video oculomotor evaluation in the differential diagnosis of multiple system atrophy and Parkinson's disease

Author:

Zhou Dongxiao1ORCID,Ma Qian2,Huang Haiwei1,Xu Xue1

Affiliation:

1. Department of Neurology, The First Affiliated Hospital, Sun Yat‐sen University, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases National Key Clinical Department and Key Discipline of Neurology Guangzhou China

2. Department of Neurology, The Fifth Affiliated Hospital Sun Yat‐sen University Zhuhai China

Abstract

AbstractBackgroundMultiple system atrophy (MSA) is a neurodegenerative disease that progresses rapidly and has a poor prognosis. This study aimed to assess the value of video oculomotor evaluation (VOE) in the differential diagnosis of MSA and Parkinson's disease (PD).MethodsIn total, 28 patients with MSA, 31 patients with PD, and 30 age‐ and sex‐matched healthy controls (HC) were screened and included in this study. The evaluation consisted of a gaze‐holding test, smooth pursuit eye movement (SPEM), random saccade, and optokinetic nystagmus (OKN).ResultsThe MSA and PD groups had more abnormalities and decreased SPEM gain than the HC group (64.29%, 35.48%, 10%, < .001). The SPEM gain in the MSA group was significantly lower than that in the PD group at specific frequencies. Patients with MSA and PD showed prolonged latencies in all saccade directions compared with those with HC. However, the two diseases had no significant differences in the saccade parameters. The OKN gain gradually decreased from the HC to the PD and the MSA groups (< .05). Compared with the PD group, the gain in the MSA group was further decreased in the OKN test at 30°/s (Left, = .010; Right = .016). Receiver operating characteristic curves showed that the combination of oculomotor parameters with age and course of disease could aid in the differential diagnosis of patients with MSA and PD, with a sensitivity of 89.29% and a specificity of 70.97%.ConclusionsThe combination of oculomotor parameters and clinical data may aid in the differential diagnosis of MSA and PD. Furthermore, VOE is vital in the identification of neurodegenerative diseases.

Funder

Guangzhou Municipal Science and Technology Project

Basic and Applied Basic Research Foundation of Guangdong Province

National Natural Science Foundation of China

Publisher

Wiley

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