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基于临床青光眼队列的纵向逐点敏感性变化的视野模拟模型的开发。

Development of a Visual Field Simulation Model of Longitudinal Point-Wise Sensitivity Changes From a Clinical Glaucoma Cohort.

作者信息

Wu Zhichao, Medeiros Felipe A

机构信息

Duke Eye Center and Department of Ophthalmology, Duke University School of Medicine, Durham, NC, USA.

University of California, San Diego, Department of Ophthalmology, La Jolla, CA, USA.

出版信息

Transl Vis Sci Technol. 2018 Jun 22;7(3):22. doi: 10.1167/tvst.7.3.22. eCollection 2018 Jun.

Abstract

PURPOSE

To develop a new visual field simulation model that can recreate real-world longitudinal results at a point-wise level from a clinical glaucoma cohort.

METHODS

A cohort of 367 glaucoma eyes from 265 participants seen over 10.1 ± 2.5 years were included to obtain estimates of "true" longitudinal visual field point-wise sensitivity and estimates of measurement variability. These two components were then combined to reconstruct visual field results in a manner that accounted for correlated measurement error. To determine how accurately the simulated results reflected the clinical cohort, longitudinal variability estimates of mean deviation (MD) were determined by calculating the SD of the residuals from linear regression models fitted to the MD values over time for each eye in the simulated and clinical cohorts. The new model was compared to a previous model that does not account for spatially correlated errors.

RESULTS

The SD of all the residuals for the clinical and simulated cohorts was 1.1 dB (95% confidence interval [CI]: 1.1-1.2 dB) and 1.1 dB (95% CI: 1.1-1.1 dB), respectively, whereas it was 0.4 dB (95% CI: 0.4-0.4 dB) using the previous simulation model that did not account for correlated errors.

CONCLUSIONS

A new simulation model accounting for correlated measurement errors between visual field locations performed better than a previous model in estimating visual field variability in glaucoma.

TRANSLATIONAL RELEVANCE

This model can provide a powerful framework to better understand use of visual field testing in clinical practice and trials and to evaluate new methods for detecting progression.

摘要

目的

开发一种新的视野模拟模型,该模型能够从临床青光眼队列中逐点重现真实世界的纵向结果。

方法

纳入了265名参与者的367只青光眼眼睛,这些眼睛在10.1±2.5年的时间里接受了观察,以获得“真实”纵向视野逐点敏感度的估计值以及测量变异性的估计值。然后将这两个组成部分结合起来,以一种考虑相关测量误差的方式重建视野结果。为了确定模拟结果反映临床队列的准确程度,通过计算模拟队列和临床队列中每只眼睛随时间变化的平均偏差(MD)线性回归模型残差的标准差,来确定MD的纵向变异性估计值。将新模型与之前未考虑空间相关误差的模型进行比较。

结果

临床队列和模拟队列所有残差的标准差分别为1.1 dB(95%置信区间[CI]:1.1 - 1.2 dB)和1.1 dB(95% CI:1.1 - 1.1 dB),而使用之前未考虑相关误差的模拟模型时,该值为0.4 dB(95% CI:0.4 - 0.4 dB)。

结论

在估计青光眼视野变异性方面,一种考虑视野位置间相关测量误差的新模拟模型比之前的模型表现更好。

转化相关性

该模型可以提供一个强大的框架,以更好地理解视野检测在临床实践和试验中的应用,并评估检测病情进展的新方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/310c/6016506/c380b2a4b0d2/i2164-2591-7-3-22-f01.jpg

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