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使用接触镜传感器 24 小时监测眼压波动:青光眼进展的诊断性能。

24-Hour Monitoring of Intraocular Pressure Fluctuations Using a Contact Lens Sensor: Diagnostic Performance for Glaucoma Progression.

机构信息

CHU Bordeaux, Department of Ophthalmology, Bordeaux, France.

IHU Liryc, Electrophysiology and Heart Modeling Institute, Hôpital Xavier ArnozanPessac, France.

出版信息

Invest Ophthalmol Vis Sci. 2023 Mar 1;64(3):3. doi: 10.1167/iovs.64.3.3.

DOI:10.1167/iovs.64.3.3
PMID:36862120
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9983699/
Abstract

PURPOSE

The purpose of this study was to compare 24-hour intraocular pressure (IOP) related fluctuations monitoring between 2 groups of visual field progression rates in patients with open angle glaucoma (OAG).

METHODS

Cross-sectional study performed at Bordeaux University Hospital. Twenty-four-hour monitoring was performed using a contact lens sensor (CLS; Triggerfish; SENSIMED, Etagnières, Switzerland). Progression rate was calculated using a linear regression of the mean deviation (MD) parameter of the visual field test (Octopus; HAAG-STREIT, Switzerland). Patients were allocated into two groups: group 1 with an MD progression rate <-0.5 dB/year and group 2 with an MD progression rate ≥-0.5 dB/year. An automatic signal-processing program was developed and a frequency filtering of the monitoring by wavelet transform analysis was used to compare the output signal between the two groups. A multivariate classifier was performed for prediction of the faster progression group.

RESULTS

Fifty-four eyes of 54 patients were included. The mean progression rate was -1.09 ± 0.60 dB/year in group 1 (n = 22) and -0.12 ± 0.13 dB/year in group 2 (n = 32). Twenty-four-hour magnitude and absolute area under the monitoring curve were significantly higher in group 1 than in group 2 (group 1: 343.1 ± 62.3 millivolts [mVs] and 8.28 ± 2.10 mVs, respectively, group 2: 274.0 ± 75.0 mV and 6.82 ± 2.70 mVs respectively, P < 0.05). Magnitude and area under the wavelet curve for short frequency periods ranging from 60 to 220 minutes were also significantly higher in group 1 (P < 0.05).

CONCLUSIONS

The 24-hour IOP related fluctuations characteristics, as assessed by a CLS, may act as a risk factor for progression in OAG. In association with other predictive factors of glaucoma progression, the CLS may help adjust treatment strategy earlier.

摘要

目的

本研究旨在比较两组开角型青光眼(OAG)患者的视野进展率的 24 小时眼压(IOP)相关波动监测。

方法

在波尔多大学医院进行的横断面研究。使用接触镜传感器(CLS;Triggerfish;SENSIMED,Etagnières,瑞士)进行 24 小时监测。使用视野测试(Octopus;HAAG-STREIT,瑞士)的平均偏差(MD)参数的线性回归计算进展率。患者被分为两组:组 1 的 MD 进展率<-0.5dB/年,组 2 的 MD 进展率≥-0.5dB/年。开发了一种自动信号处理程序,并使用小波变换分析对监测信号进行频率滤波,以比较两组之间的输出信号。进行了多变量分类器以预测进展较快的组。

结果

共纳入 54 例 54 只眼。组 1(n=22)的平均进展率为-1.09±0.60dB/年,组 2(n=32)为-0.12±0.13dB/年。组 1 的 24 小时幅度和监测曲线下绝对面积明显高于组 2(组 1:343.1±62.3 毫伏[mV]和 8.28±2.10 mV,分别为 274.0±75.0 mV 和 6.82±2.70 mV,P<0.05)。短时间范围内(60-220 分钟)的幅度和小波曲线下面积也明显高于组 1(P<0.05)。

结论

CLS 评估的 24 小时 IOP 相关波动特征可能是 OAG 进展的危险因素。与青光眼进展的其他预测因素相结合,CLS 可能有助于更早地调整治疗策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f88/9983699/08cbbe9b012d/iovs-64-3-3-f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f88/9983699/f1409e17aa1a/iovs-64-3-3-f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f88/9983699/6c7d0c977cf6/iovs-64-3-3-f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f88/9983699/03d121e669b8/iovs-64-3-3-f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f88/9983699/08cbbe9b012d/iovs-64-3-3-f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f88/9983699/f1409e17aa1a/iovs-64-3-3-f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f88/9983699/6c7d0c977cf6/iovs-64-3-3-f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f88/9983699/03d121e669b8/iovs-64-3-3-f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f88/9983699/08cbbe9b012d/iovs-64-3-3-f004.jpg

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J Glaucoma. 2019 Sep;28(9):808-810. doi: 10.1097/IJG.0000000000001318.
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Mathematical modeling of circadian rhythms.
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