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英国青光眼治疗研究中眼压波动与视野进展率的关系。

Relationship between Intraocular Pressure Fluctuation and Visual Field Progression Rates in the United Kingdom Glaucoma Treatment Study.

机构信息

NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom; Ophthalmology Unit, University Hospital Maggiore della Carità, Novara, Italy; Department of Health Sciences, University of Eastern Piedmont "A. Avogadro," Novara, Italy.

NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom; Optometry and Visual Sciences, City University of London, London, United Kingdom.

出版信息

Ophthalmology. 2024 Aug;131(8):902-913. doi: 10.1016/j.ophtha.2024.02.008. Epub 2024 Feb 13.


DOI:10.1016/j.ophtha.2024.02.008
PMID:38354911
Abstract

PURPOSE: To investigate whether intraocular pressure (IOP) fluctuation is associated independently with the rate of visual field (VF) progression in the United Kingdom Glaucoma Treatment Study. DESIGN: Randomized, double-masked, placebo-controlled multicenter trial. PARTICIPANTS: Participants with ≥5 VFs (213 placebo, 217 treatment). METHODS: Associations between IOP metrics and VF progression rates (mean deviation [MD] and five fastest locations) were assessed with linear mixed models. Fluctuation variables were mean Pascal ocular pulse amplitude (OPA), standard deviation (SD) of diurnal Goldmann IOP (diurnal fluctuation), and SD of Goldmann IOP at all visits (long-term fluctuation). Fluctuation values were normalized for mean IOP to make them independent from the mean IOP. Correlated nonfluctuation IOP metrics (baseline, peak, mean, supine, and peak phasing IOP) were combined with principal component analysis, and principal component 1 (PC1) was included as a covariate. Interactions between covariates and time from baseline modeled the effect of the variables on VF rates. Analyses were conducted separately in the two treatment arms. MAIN OUTCOME MEASURES: Associations between IOP fluctuation metrics and rates of MD and the five fastest test locations. RESULTS: In the placebo arm, only PC1 was associated significantly with the MD rate (estimate, -0.19 dB/year [standard error (SE), 0.04 dB/year]; P < 0.001), whereas normalized IOP fluctuation metrics were not. No variable was associated significantly with MD rates in the treatment arm. For the fastest five locations in the placebo group, PC1 (estimate, -0.58 dB/year [SE, 0.16 dB/year]; P < 0.001), central corneal thickness (estimate, 0.26 dB/year [SE, 0.10 dB/year] for 10 μm thicker; P = 0.01) and normalized OPA (estimate, -3.50 dB/year [SE, 1.04 dB/year]; P = 0.001) were associated with rates of progression; normalized diurnal and long-term IOP fluctuations were not. In the treatment group, only PC1 (estimate, -0.27 dB/year [SE, 0.12 dB/year]; P = 0.028) was associated with the rates of progression. CONCLUSIONS: No evidence supports that either diurnal or long-term IOP fluctuation, as measured in clinical practice, are independent factors for glaucoma progression; other aspects of IOP, including mean IOP and peak IOP, may be more informative. Ocular pulse amplitude may be an independent factor for faster glaucoma progression. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

摘要

目的:研究眼内压(IOP)波动是否与英国青光眼治疗研究中的视野(VF)进展率独立相关。 设计:随机、双盲、安慰剂对照的多中心试验。 参与者:≥5 个视野(213 个安慰剂,217 个治疗)的参与者。 方法:使用线性混合模型评估 IOP 指标与 VF 进展率(平均偏差[MD]和五个最快位置)之间的关系。波动变量为平均帕斯卡眼脉冲幅度(OPA)、日间 Goldmann IOP 的标准差(SD)(日间波动)和所有就诊时的 Goldmann IOP 的标准差(长期波动)。为了使波动值与平均 IOP 独立,对波动值进行了平均 IOP 的归一化。相关的非波动 IOP 指标(基线、峰值、平均、仰卧位和峰值相位 IOP)通过主成分分析进行了组合,并将主成分 1(PC1)作为协变量纳入。根据从基线到时间的协变量相互作用,模拟了变量对 VF 率的影响。在两个治疗组中分别进行了分析。 主要观察指标:IOP 波动指标与 MD 率和五个最快测试位置之间的关系。 结果:在安慰剂组中,只有 PC1 与 MD 率显著相关(估计值为-0.19dB/年[标准误差(SE)为 0.04dB/年];P<0.001),而归一化的 IOP 波动指标则没有。在治疗组中,只有 PC1(估计值为-0.27dB/年[SE 为 0.12dB/年];P=0.028)与进展率相关。 结论:没有证据表明,在临床实践中测量的日间或长期 IOP 波动是青光眼进展的独立因素;眼压的其他方面,包括平均眼压和峰值眼压,可能更具信息性。眼脉冲幅度可能是青光眼进展更快的一个独立因素。 金融披露:本文结尾的脚注和披露中可能包含专有或商业披露。

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[5]
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