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使用回弹式眼压计测量的中央和周边眼压。

Central and peripheral intraocular pressure measured by a rebound tonometer.

作者信息

Yamashita Tsutomu, Miki Atsushi, Ieki Yoshiaki, Kiryu Junichi, Yaoeda Kiyoshi, Shirakashi Motohiro

机构信息

Department of Sensory Science, Faculty of Health Science and Technology, Kawasaki University of Medical Welfare.

出版信息

Clin Ophthalmol. 2011;5:1113-8. doi: 10.2147/OPTH.S23143. Epub 2011 Aug 10.

Abstract

PURPOSE

We investigated at which corneal region the intraocular pressure as measured by the Icare(®) rebound tonometer (Finland Oy, Espoo, Finland) (hereinafter referred to as IC) was closest to the intraocular pressure as measured by the Goldmann applanation tonometer (hereinafter referred to as GT). We also investigated which parameters would be best for preparing the most suitable model for predicting GT.

METHODS

A total of 102 normal eyes in 102 subjects were enrolled. IC measurements were carried out at the central, superior, inferior, temporal, and nasal regions of the cornea (ICC, ICS, ICI, ICT, and ICN, respectively), followed by GT calculations. Differences between GT and IC were analyzed using the Bland-Altman method. Stepwise multiple regression analysis was performed using GT as the objective variable, and age, laterality of eye, spherical equivalent refractive error, corneal radius, axial length, central corneal thickness, GT, ICC, ICS, ICI, ICT, and ICN as the explanatory variables.

RESULTS

IC was higher than GT at all of the corneal regions, but the region with the least bias was ICC, followed by ICT. In the multiple regression analysis, the following prediction formula was calculated: GT = (0.445 × ICC) + (0.198 × ICN) + 3.022. When ICC was excluded from the explanatory variables, ICT had the highest partial correlation coefficient with GT.

CONCLUSION

ICC was closest to GT, but GT could be explained better by adding ICN to the prediction model. Moreover, in instances where ICC cannot be calculated or where reliability is clearly poor due to abnormal ocular rigidity, ICT was the closest to GT measured in the central corneal region.

摘要

目的

我们研究了Icare(®)回弹式眼压计(芬兰Oy公司,埃斯波,芬兰)(以下简称IC)所测眼压在角膜的哪个区域最接近Goldmann压平眼压计(以下简称GT)所测眼压。我们还研究了哪些参数最适合用于构建预测GT的最佳模型。

方法

共纳入102名受试者的102只正常眼。在角膜的中央、上方、下方、颞侧和鼻侧区域分别进行IC测量(分别为ICC、ICS、ICI、ICT和ICN),随后计算GT。采用Bland-Altman方法分析GT与IC之间的差异。以GT为目标变量,年龄、眼别、等效球镜度、角膜半径、眼轴长度、中央角膜厚度、GT、ICC、ICS、ICI、ICT和ICN为解释变量进行逐步多元回归分析。

结果

在所有角膜区域,IC均高于GT,但偏差最小的区域是ICC,其次是ICT。在多元回归分析中,计算出以下预测公式:GT =(0.445×ICC)+(0.198×ICN)+ 3.022。当从解释变量中排除ICC时,ICT与GT的偏相关系数最高。

结论

ICC最接近GT,但在预测模型中加入ICN能更好地解释GT。此外,在无法计算ICC或由于眼硬度异常导致可靠性明显较差的情况下,ICT最接近中央角膜区域所测的GT。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c79/3162289/83bf652a2280/opth-5-1113f1.jpg

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