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青光眼的黄斑和视神经头血管密度与进行性视网膜神经纤维层丢失。

Macular and Optic Nerve Head Vessel Density and Progressive Retinal Nerve Fiber Layer Loss in Glaucoma.

机构信息

Hamilton Glaucoma Center, Shiley Eye Institute, Department of Ophthalmology, University of California, San Diego, La Jolla, California; Tehran University of Medical Sciences, Tehran, Iran.

Hamilton Glaucoma Center, Shiley Eye Institute, Department of Ophthalmology, University of California, San Diego, La Jolla, California.

出版信息

Ophthalmology. 2018 Nov;125(11):1720-1728. doi: 10.1016/j.ophtha.2018.05.006. Epub 2018 Jun 12.

Abstract

PURPOSE

To investigate prospectively the relationship between macular and peripapillary vessel density and progressive retinal nerve fiber layer (RNFL) loss in patients with mild to moderate primary open-angle glaucoma.

DESIGN

Prospective, observational study.

PARTICIPANTS

One hundred thirty-two eyes of 83 patients with glaucoma followed up for at least 2 years (average: 27.3±3.36 months).

METHODS

Measurements of macular whole image vessel density (m-wiVD) and optic nerve head whole image vessel density (onh-wiVD) were acquired at baseline using OCT angiography. RNFL, minimum rim width (MRW), and ganglion cell plus inner plexiform layer (GCIPL) thickness were obtained semiannually using spectral-domain OCT. Random-effects models were used to investigate the relationship between baseline vessel density parameters and rates of RNFL loss after adjusting for the following confounding factors: baseline visual field mean deviation, MRW, GCIPL thickness, central corneal thickness (CCT), and mean intraocular pressure during follow-up and disc hemorrhage, with or without including baseline RNFL.

MAIN OUTCOME MEASURES

Effects of m-wiVD and onh-wiVD on rates of RNFL loss over time.

RESULTS

Average baseline RNFL thickness was 79.5±14.8 μm, which declined with a mean slope of -1.07 μm/year (95% confidence interval, -1.28 to -0.85). In the univariate model, including only a predictive factor and time and their interaction, each 1% lower m-wiVD and onh-wiVD was associated with a 0.11-μm/year (P < 0.001) and 0.06-μm/year (P = 0.031) faster rate of RNFL decline, respectively. A similar relationship between low m-wiVD and onh-wiVD and faster rates of RNFL loss was found using different multivariate models. The association between vessel density measurements and rate of RNFL loss was weak (r = 0.125 and r = 0.033 for m-wiVD and onh-wiVD, respectively). Average CCT also was a predictor for faster RNFL decline in both the univariate (0.11 μm/year; P < 0.001) and multivariate models.

CONCLUSIONS

Lower baseline macular and optic nerve head (ONH) vessel density are associated with a faster rate of RNFL progression in mild to moderate glaucoma. Assessment of ONH and macular vessel density may add significant information to the evaluation of the risk of glaucoma progression and prediction of rates of disease worsening.

摘要

目的

前瞻性研究轻度至中度原发性开角型青光眼患者的黄斑和视盘周围血管密度与进行性视网膜神经纤维层(RNFL)丢失之间的关系。

设计

前瞻性、观察性研究。

参与者

83 例青光眼患者的 132 只眼随访至少 2 年(平均:27.3±3.36 个月)。

方法

使用 OCT 血管造影术在基线时测量黄斑全像血管密度(m-wiVD)和视神经头全像血管密度(onh-wiVD)。使用频域 OCT 每半年测量一次 RNFL、最小边缘宽度(MRW)和节细胞内丛状层(GCIPL)厚度。使用随机效应模型,在调整以下混杂因素后,研究基线血管密度参数与 RNFL 丢失率之间的关系:基线视野平均偏差、MRW、GCIPL 厚度、中央角膜厚度(CCT)和随访期间的平均眼内压以及视盘出血,包括或不包括基线 RNFL。

主要观察指标

m-wiVD 和 onh-wiVD 对随时间推移的 RNFL 丢失率的影响。

结果

平均基线 RNFL 厚度为 79.5±14.8 μm,以每年-1.07 μm 的平均斜率下降(95%置信区间,-1.28 至-0.85)。在单变量模型中,仅包括预测因子和时间及其相互作用,m-wiVD 和 onh-wiVD 每降低 1%,与 0.11-μm/年(P < 0.001)和 0.06-μm/年(P=0.031)更快的 RNFL 下降速度相关。使用不同的多变量模型,发现低 m-wiVD 和 onh-wiVD 与更快的 RNFL 丢失率之间存在类似的关系。血管密度测量值与 RNFL 丢失率之间的相关性较弱(m-wiVD 和 onh-wiVD 的 r 值分别为 0.125 和 0.033)。平均 CCT 也是单变量(0.11 μm/年;P < 0.001)和多变量模型中 RNFL 下降更快的预测因素。

结论

基线黄斑和视盘(ONH)血管密度较低与轻度至中度青光眼的 RNFL 进展速度较快有关。评估 ONH 和黄斑血管密度可能会为评估青光眼进展风险和预测疾病恶化速度提供重要信息。

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