Comparison of Visual Field Point-Wise Event-Based and Global Trend-Based Analysis for Detecting Glaucomatous Progression

比较基于点事件的视野分析和基于全局趋势的分析在检测青光眼进展中的应用

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Abstract

PURPOSE: To compare global trend-based and point-wise event-based analysis for detecting visual field progression in eyes with glaucoma. METHODS: The study included a cohort of 367 glaucoma eyes from 265 participants seen over a mean follow-up period of 10 years to develop a computer simulation model of "real-world" visual field results. Progression was evaluated with point-wise event-based analysis using the Guided Progression Analysis (GPA) and global trend-based analysis using the mean deviation (MD) and visual field index (VFI) measures. The specificities of the methods were matched based on a simulated dataset of stable glaucoma eyes, to allow an adequate comparison of their sensitivities for detecting progression. RESULTS: The 5-year cumulative false-positive rate for the GPA alert of "possible progression" and "likely progression" (significant change from baseline at two and three consecutive visits, respectively) were 34.0% and 7.0%, respectively. At matched specificities, 27.7% eyes were detected as having progressed after 5 years using the GPA "likely progression" criterion, while 24.6% and 23.8% were detected as having progressed using the global trend-based analysis with MD and VFI, respectively. There was a moderate level of agreement between the GPA and global trend-based analyses. CONCLUSIONS: Pointwise event-based and global trend-based methods had similar performances to detect glaucoma progression when rigorously matched for specificity. TRANSLATIONAL RELEVANCE: Although both point-wise event- and global trend-based analyses perform similarly, they could provide complementary information that could be exploited to improve the overall detection of progression in clinical practice and clinical trials.

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