Estimation of Visual Acuity after Recovery from Different Degrees of Ocular Trauma Using Pattern Visual Evoked Potential.
Year: 2024
Type: article
Study design: Observational Study
Abstract: OBJECTIVES: To provide a reference for visual assessment in complex ocular trauma by studying the characteristics of visual evoked potential (VEP) in patients with different degrees of ocular trauma. METHODS: Based on the severity of ocular trauma, 231 patients with monocular visual impairment were selected and divided into groups A (no open surgery, relatively mild injury), B (open surgery, which may have a certain impact on the visual acuity after recovery) and C (multiple open surgeries, multiple intraocular surgeries or further treatment after surgery, and serious impact on the visual acuity after recovery). At the same time, according to the best corrected visual acuity (BCVA) after recovery, they were divided into four grades: Ⅰ, visual<4.0; Ⅱ, 4.0≤visual acuity<4.5; Ⅲ, 4.5≤visual acuity<4.7; Ⅳ, visual acuity≥4.7. The pattern visual evoked potential (PVEP) of these patients with stable visual acuity was collected, and the amplitude and peak time of P100 wave stimulated at 1° and 15' spatial frequency were recorded. The correlations between the characteristics of VEP and the degree of ocular trauma in different groups were evaluated, and the data of abnormal peak time and amplitude in each group were analyzed. RESULTS: =-0.488). CONCLUSIONS: The PVEP can be used to distinguish between groups A and C, groups B and C with different degrees of eye trauma, but it cannot distinguish between group A and B at the 1° and 15' spatial frequency stimulation. The abnormality of the P100 amplitudes after eye trauma can provide a certain basis for the visual evaluation of patients with different degrees of ocular trauma.
Source: PubMed
Authors: Hong-Xia Hao, Jie-Min Chen, Xiao-Ying Yu, Meng Wang, Zhi-Lu Zhou, Yan-Liang Sheng, Wen-Tao Xia
Language: English
Subfield: Ophthalmology
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W4407908480