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一种用于白内障逆转患者分类的电生理生物标志物:一项病例对照研究。

An electrophysiological biomarker for the classification of cataract-reversal patients: A case-control study.

作者信息

Sourav Suddha, Bottari Davide, Shareef Idris, Kekunnaya Ramesh, Röder Brigitte

机构信息

Biological Psychology and Neuropsychology, University of Hamburg, Hamburg, Germany.

IMT School for Advanced Studies Lucca, Lucca, Italy.

出版信息

EClinicalMedicine. 2020 Oct 6;27:100559. doi: 10.1016/j.eclinm.2020.100559. eCollection 2020 Oct.

Abstract

BACKGROUND

Untreated congenital blindness through cataracts leads to lasting visual brain system changes, including substantial alterations of extrastriate visual areas. Consequently, late-treated individuals (> 5 months of age) with dense congenital bilateral cataracts (CC) exhibit poorer visual function recovery compared to individuals with bilateral developmental cataracts (DC). Reliable methods to differentiate between patients with congenital and developmental cataracts are often lacking, impeding efficient rehabilitation management and introducing confounds in clinical and basic research on recovery prognosis and optimal timing of surgery. A persistent reduction of the P1 wave of visual event-related potentials (VERPs), associated with extrastriate visual cortical activity, has been reported in CC but not in DC individuals. Using two experiments, this study developed and validated P1-based biomarkers for diagnosing a history of congenital blindness in cataract-reversal individuals.

METHODS

Congenital and developmental cataract-reversal individuals as well as typically sighted matched controls took part in a first experiment used for exploring an electrophysiological biomarker (  = 13,  = 13,  = 26). Circular stimuli containing gratings were presented in one of the visual field quadrants while visual event-related potentials (VERPs) were recorded. Two biomarkers were derived from the P1 wave of the VERP: (1) The mean of the normalized P1 amplitude at posterior electrodes, and (2) a classifier obtained from a linear support vector machine (SVM). A second experiment with partially new CC/DC individuals and their matched controls (  = 14,  = 15,  = 29) was consecutively used to validate the classification based on both biomarkers. Performance of the classifiers were evaluated using receiver operating characteristic (ROC) curve analyses. All cataract-reversal individuals were tested after at least one year of vision recovery.

FINDINGS

The normalized P1 amplitude over posterior electrodes allowed a successful classification of the CC from the DC individuals and typically sighted controls (area under ROC curve, AUC = 0.803 and 0.929 for the normalized P1 amplitude and the SVM-based biomarker, respectively). The validation for both biomarkers in experiment 2 again resulted in a high classification success (AUC = 0.800 and 0.883, respectively for the normalized P1 amplitude and the SVM-based biomarker). In the most conservative scenario involving classification of CC from DC individuals in a group of only cataract-reversal individuals, excluding typically sighted controls, the SVM-based biomarker was found to be superior to the mean P1 amplitude based biomarker (AUC = 0.852 compared to 0.757 for the mean P1 based biomarker in validation). Minimum specificity obtained was 80% across all biomarkers.

INTERPRETATION

A persistent reduction of the P1 wave provides a highly specific method for classifying cataract patients post-surgically as having suffered from bilateral congenital vs. bilateral developmental cataracts. We suggest that using the P1 based non-invasive electrophysiological biomarker will augment existing clinical classification criteria for individuals with a history of bilateral congenital cataracts, aiding clinical and basic research, recovery prognosis, and rehabilitation efforts.

FUNDING

German Research Foundation (DFG) and the European Research Council (ERC).

摘要

背景

未经治疗的先天性白内障导致的失明会使视觉脑系统发生永久性变化,包括纹外视觉区域的显著改变。因此,与双侧发育性白内障(DC)患者相比,患有致密性先天性双侧白内障(CC)且治疗较晚(>5个月大)的个体视觉功能恢复较差。目前常常缺乏区分先天性和发育性白内障患者的可靠方法,这阻碍了有效的康复管理,并在恢复预后和最佳手术时机的临床及基础研究中引入了混淆因素。据报道,CC患者视觉事件相关电位(VERP)的P1波持续降低,这与纹外视觉皮层活动有关,而DC个体中未出现这种情况。本研究通过两个实验开发并验证了基于P1波的生物标志物,用于诊断白内障复明个体的先天性失明病史。

方法

先天性和发育性白内障复明个体以及视力正常的匹配对照参与了第一个用于探索电生理生物标志物的实验(先天性白内障组n = 13,发育性白内障组n = 13,对照组n = 26)。在一个视野象限中呈现包含光栅的圆形刺激,同时记录视觉事件相关电位(VERP)。从VERP的P1波中得出两个生物标志物:(1)后电极处标准化P1波幅的平均值,以及(2)从线性支持向量机(SVM)获得的分类器。随后进行的第二个实验纳入了部分新的CC/DC个体及其匹配对照(先天性白内障组n = 14,发育性白内障组n = 15,对照组n = 29),以验证基于这两种生物标志物的分类。使用受试者工作特征(ROC)曲线分析评估分类器的性能。所有白内障复明个体均在视力恢复至少一年后进行测试。

结果

后电极处标准化P1波幅能够成功区分CC个体与DC个体以及视力正常的对照(ROC曲线下面积分别为,标准化P1波幅为0.803,基于SVM的生物标志物为0.929)。实验2中对两种生物标志物的验证再次取得了较高的分类成功率(标准化P1波幅和基于SVM的生物标志物的ROC曲线下面积分别为0.800和0.883)。在最保守的情况下,即在仅包含白内障复明个体(不包括视力正常对照)的一组中区分CC个体与DC个体,发现基于SVM的生物标志物优于基于P1波幅平均值的生物标志物(验证时,基于SVM的生物标志物的ROC曲线下面积为0.852,基于P1波幅平均值的生物标志物为0.757)。所有生物标志物获得的最低特异性为80%。

解读

P1波的持续降低为术后将白内障患者分类为患有双侧先天性白内障还是双侧发育性白内障提供了一种高度特异的方法。我们建议,使用基于P1波的非侵入性电生理生物标志物将增强现有的针对有双侧先天性白内障病史个体的临床分类标准,有助于临床和基础研究、恢复预后评估及康复工作。

资助

德国研究基金会(DFG)和欧洲研究理事会(ERC)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01bd/7548424/4c750634816d/gr1.jpg

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