眼动参数作为帕金森病患者诊断及左旋多巴反应性的生物标志物
Eye movement parameters as biomarkers for diagnosis and levodopa responsiveness in patients with Parkinson's disease.
作者信息
Luo Qibing, Gao Ziqi, Qi Qi, Rong Siming, Yang Rui, He Chentao, Cai Mengfei, Zhang Piao, Zhang Yuhu
机构信息
Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong Province, 510080, China.
Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, No. 106 Zhongshan Er Road, Guangdong Province, Guangzhou, 510080, China.
出版信息
Aging Clin Exp Res. 2025 Jun 6;37(1):182. doi: 10.1007/s40520-025-03089-2.
BACKGROUND
Abnormalities in characteristic eye movements have been identified in Parkinson's disease (PD) patients.
AIM
To determine if eye movement parameters can serve as biomarkers for diagnosing PD and predicting therapeutic responses to levodopa.
METHODS
We enrolled 128 PD patients and 28 healthy controls, assessing eye movements before and after levodopa administration.
RESULTS
Specific eye movement parameters robustly differentiated PD patients from controls, with an AUC of 0.856, and maintained robustness post-levodopa. Correlations were found between changes in eye movement parameters and motor symptom improvements, leading to a predictive model for levodopa responsiveness with an AUC of 0.783.
DISCUSSION AND CONCLUSIONS
Eye movement assessments offer an objective tool for PD diagnosis and levodopa responsiveness prediction.
背景
帕金森病（PD）患者已被发现存在特征性眼球运动异常。
目的
确定眼球运动参数是否可作为诊断PD和预测左旋多巴治疗反应的生物标志物。
方法
我们招募了128例PD患者和28名健康对照者，在给予左旋多巴前后评估眼球运动。
结果
特定的眼球运动参数能有力地区分PD患者和对照者，曲线下面积（AUC）为0.856，且在左旋多巴治疗后仍保持稳健性。发现眼球运动参数的变化与运动症状改善之间存在相关性，从而建立了一个左旋多巴反应性预测模型，AUC为0.783。
讨论与结论
眼球运动评估为PD诊断和左旋多巴反应性预测提供了一种客观工具。
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