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在颈痛障碍患者的平滑追踪颈部扭转试验中,眼球运动控制改变是否与主观视觉主诉有关?

Is Altered Oculomotor Control during Smooth Pursuit Neck Torsion Test Related to Subjective Visual Complaints in Patients with Neck Pain Disorders?

机构信息

Faculty of Sport, University of Ljubljana, 1000 Ljubljana, Slovenia.

Department of Orthopaedic Surgery, University Medical Centre Ljubljana, 1000 Ljubljana, Slovenia.

出版信息

Int J Environ Res Public Health. 2022 Mar 23;19(7):3788. doi: 10.3390/ijerph19073788.

Abstract

Subjective visual complaints are commonly reported in patients with neck pain, but their relation to objectively measured oculomotor functions during smooth pursuit neck torsion tests (SPNTs) has not yet been investigated. The aim of the study was to analyse classification accuracy of visual symptom intensity and frequency based on SPNT results. Forty-three patients with neck pain were referred by orthopaedic outpatient clinics where they were required to fill out 16-item proformas of visual complaints. Infrared video-oculography was used to measure smooth pursuit eye movements during neutral and neck torsion positions. Parameters of gain and SPNT difference (SPNT) were taken into the Naïve Bayes model as classifiers, while intensity and frequency of visual symptoms were taken as predicted class. Intensity and, to a lesser degree, frequency of visual symptoms previously associated with neck pain or focal vision disorders (computer vision syndrome) showed better classification accuracy using gain at neck torsion position, indicating cervical driven visual disturbances. Moreover, SPNT presented with slightly lower classification accuracy as compared to gain at neck torsion position. Our study confirmed the relationship between cervical driven oculomotor deficits and some visual complaints (concentrating to read, words moving on page, blurred vision, difficulty judging distance, sore eyes, heavy eyes, red eyes, and eyes strain).

摘要

患者有颈部疼痛时常会主观报告视觉不适,但目前尚不清楚这些症状与平滑追踪颈扭转试验(SPNT)中客观测量的眼动功能之间的关系。本研究旨在分析基于 SPNT 结果的视觉症状强度和频率的分类准确性。43 例颈部疼痛患者由骨科门诊转介,他们需要填写 16 项视觉症状预测表单。使用红外视频眼动仪测量中立位和颈部扭转位的平滑追踪眼动。增益和 SPNT 差值(SPNT)作为分类器纳入 Naive Bayes 模型,而视觉症状的强度和频率则作为预测类别。先前与颈部疼痛或局灶性视力障碍(计算机视觉综合征)相关的视觉症状的强度和程度较低,使用颈部扭转位置的增益显示出更好的分类准确性,表明与颈部相关的视觉障碍。此外,与颈部扭转位置的增益相比,SPNT 的分类准确性略低。本研究证实了颈椎驱动性眼动功能障碍与某些视觉症状(阅读时集中注意力、页面上的文字移动、视力模糊、判断距离困难、眼睛酸痛、眼睛沉重、眼睛发红和眼睛疲劳)之间的关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/611d/8997387/e8a758600ca5/ijerph-19-03788-g001.jpg

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