手持式视网膜电图测试对青光眼的诊断性能

IF 3.2 Q1 OPHTHALMOLOGY
Anika Kumar BA , Nathan Sanchez MD , Alan W. Kong MD , Benjamin F. Arnold PhD, MPH , Yvonne Ou MD
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引用次数: 0

摘要

目的评价手持式视网膜电图(ERG)装置在不同频率下正弦闪烁刺激试验对青光眼患者的诊断效果。DesignA横断面研究于2019年6月至2022年10月在加州大学旧金山分校进行。青光眼患者从青光眼诊所招募,如果他们被诊断为开角型青光眼,表现为视神经损伤或可重复性视野缺陷。对照受试者视神经正常,眼压≤21 mmHg,从验光诊所招募。方法采用手持式ERG记录系统RETeval (LKC Technologies)在1 ~ 50 Hz范围内调制14个频率的正弦闪烁刺激,采集一阶谐波频率响应幅值。以青光眼诊断为结果的Logistic回归模型使用来自67%参与者的数据进行训练;然后对剩下的33%进行模型测试。生成显示模型在测试集上性能的受试者工作特征曲线,并计算受试者工作特征曲线下面积(AUC)。使用改进的DeLong算法比较模型的诊断性能以及扩张眼与非扩张眼的性能差异。结果该研究纳入了72名参与者的117只眼睛(对照组18只,青光眼54只;平均年龄[标准差{SD}] = 70.4[12.2]岁;51.4%的女性)。青光眼的平均(SD)偏差为- 4.61(5.55)分贝。在评估所有频率振幅响应综合效应的模型中,AUC为0.57(95%置信区间[CI]: 0.37-0.78)。然而,在关注频率≥30 Hz的模型中,OFF通路可能受到更大的影响,AUC提高到0.81 (95% CI: 0.66-0.97)。在这个更高频率的模型中,Youden J截止点的敏感性为80%,特异性为74%。这些发现为手持式ERG在诊断青光眼方面的潜在应用提供了证据,通过评估视网膜对频率在30 - 50 Hz之间的正弦闪烁刺激的振幅反应。这支持了OFF通路在青光眼中可能更脆弱的假设。财务披露专有或商业披露可在本文末尾的脚注和披露中找到。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diagnostic Performance of a Handheld Electroretinography Test for Glaucoma

Purpose

To evaluate the diagnostic performance of a sinusoidal flicker stimulus test at various frequencies using a handheld electroretinography (ERG) device in glaucoma versus control participants.

Design

A cross-sectional study conducted between June 2019 and October 2022 at the University of California, San Francisco.

Participants

Participants with glaucoma were recruited from glaucoma clinics if they had a diagnosis of open-angle glaucoma, as demonstrated by optic nerve damage or reproducible visual field defects. Control participants had normal optic nerves and intraocular pressures of ≤21 mmHg and were recruited from optometry clinics.

Methods

The RETeval device (LKC Technologies), a handheld ERG recording system, was used to administer a sinusoidal flicker stimulus modulated at 14 frequencies from 1 to 50 Hz, and the first harmonic frequency response amplitudes were collected. Logistic regression models with glaucoma diagnosis as the outcome were trained using data from 67% of participants; models were then tested on the remaining 33%.

Main Outcome Measures

Receiver operating characteristic curves demonstrating model performance on the testing set were generated, and area under the receiver operating characteristic curve (AUC) was calculated. The improved DeLong algorithm was used to compare diagnostic performance of the models and differences in performance in dilated versus nondilated eyes.

Results

The study included 117 eyes from 72 participants (18 control, 54 glaucoma; mean age [standard deviation {SD}] = 70.4 [12.2] years; 51.4% female). Among glaucomatous eyes, average (SD) mean deviation was −4.61 (5.55) decibels. In a model assessing the combined effects of amplitude responses across all frequencies, the AUC was 0.57 (95% confidence interval [CI]: 0.37–0.78). However, in a model focusing on frequencies of ≥30 Hz, where the OFF pathway may be more affected, the AUC improved to 0.81 (95% CI: 0.66–0.97). In this higher frequency model, sensitivity was 80% and specificity was 74% at the Youden J cutoff.

Conclusions

These findings provide evidence of the potential use of handheld ERG in diagnosing glaucoma by assessing retinal amplitude responses to sinusoidal flicker stimuli at frequencies between 30 and 50 Hz. This supports the hypothesis that the OFF pathway may be more vulnerable in glaucoma.

Financial Disclosure(s)

Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
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来源期刊
Ophthalmology science
Ophthalmology science Ophthalmology
CiteScore
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