Journal of ophthalmology · 2026
Factors Associated With Long-Term Visual Field Variability in Patients With Normal-Tension Glaucoma.
СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Ha Seunghee, Moon Sangwoo, Kim EunAh, Jeong Sanghun, Yang Hojin, Lee Jiwoong
Аннотация
PURPOSE: To investigate the factors associated with variability in the longitudinal visual field (VF) test in patients with normal-tension glaucoma (NTG).
METHODS: This retrospective study enrolled patients with NTG who underwent ≥ 12 reliable VF tests over a follow-up period of ≥ 6 years. For each eye, 52 total deviation values (TDVs) were linearly regressed against time (years), while the root-mean-squared error (RMSE) of the residuals was calculated to quantify the long-term VF variability. Hierarchical cluster analysis using squared Spearman correlation coefficients was conducted to assess collinearity and select variables. Six linear mixed-effects models were constructed, each including clinical parameters such as intraocular pressure (IOP), retinal nerve fiber layer thickness (RNFLT), and VF parameters. Mixed-effects regression was applied to evaluate the factors associated with long-term VF variability, adjusting for intereye correlation.
RESULTS: The study analyzed 114 eyes of 77 patients with NTG. In models including baseline RNFLT, lower baseline IOP, lower mean IOP, greater IOP fluctuation, thinner baseline RNFLT, and a steeper mean deviation (MD) slope were significantly associated with increased long-term VF variability (all p ≤ 0.031). In models that included baseline MD, worse baseline MD and a steeper MD slope were significantly associated with increased long-term VF variability (all p ≤ 0.004).
CONCLUSIONS: Lower baseline and mean IOP, greater IOP fluctuation, thinner baseline RNFLT, worse baseline MD, and steeper MD slope are all associated with a greater long-term VF variability in patients with NTG. NTG eyes with thin RNFL or rapid VF deterioration may require more frequent VF testing to avoid misinterpreting fluctuation as true progression.
METHODS: This retrospective study enrolled patients with NTG who underwent ≥ 12 reliable VF tests over a follow-up period of ≥ 6 years. For each eye, 52 total deviation values (TDVs) were linearly regressed against time (years), while the root-mean-squared error (RMSE) of the residuals was calculated to quantify the long-term VF variability. Hierarchical cluster analysis using squared Spearman correlation coefficients was conducted to assess collinearity and select variables. Six linear mixed-effects models were constructed, each including clinical parameters such as intraocular pressure (IOP), retinal nerve fiber layer thickness (RNFLT), and VF parameters. Mixed-effects regression was applied to evaluate the factors associated with long-term VF variability, adjusting for intereye correlation.
RESULTS: The study analyzed 114 eyes of 77 patients with NTG. In models including baseline RNFLT, lower baseline IOP, lower mean IOP, greater IOP fluctuation, thinner baseline RNFLT, and a steeper mean deviation (MD) slope were significantly associated with increased long-term VF variability (all p ≤ 0.031). In models that included baseline MD, worse baseline MD and a steeper MD slope were significantly associated with increased long-term VF variability (all p ≤ 0.004).
CONCLUSIONS: Lower baseline and mean IOP, greater IOP fluctuation, thinner baseline RNFLT, worse baseline MD, and steeper MD slope are all associated with a greater long-term VF variability in patients with NTG. NTG eyes with thin RNFL or rapid VF deterioration may require more frequent VF testing to avoid misinterpreting fluctuation as true progression.