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在办公时间估算青光眼治疗患者24小时眼压曲线特征的策略。

Strategies to estimate the characteristics of 24-hour IOP curves of treated glaucoma patients during office hours.

作者信息

Colombo Leonardo, Fogagnolo Paolo, Montesano Giovanni, De Cillà Stefano, Orzalesi Nicola, Rossetti Luca

机构信息

Eye Clinic, San Paolo Hospital, University of Milan, Via A. Di Rudinì 8, 20142, Milan, Italy.

出版信息

BMC Ophthalmol. 2016 Jan 27;16:15. doi: 10.1186/s12886-016-0191-7.

Abstract

BACKGROUND

It is known that office-hour measurements might not adequately estimate IOP mean, peaks and fluctuations in healthy subjects. The purpose of the present study is to verify whether office-hour measurements in patients in different body positions can estimate the characteristics of 24-hour intraocular pressure (IOP) in treated POAG patients.

METHODS

The 24-hour IOP curves of 70 eyes of 70 caucasian patients with treated glaucoma were analyzed. Measurements were taken at 9 AM; 12, 3, 6, and 9 PM; and 12, 3, and 6 AM, both in the supine (TonoPen XL) and sitting (Goldmann tonometer) positions. The ability of five strategies to estimate IOP mean, peak and fluctuation was evaluated. Each method was analyzed both with regression of the estimate error on the real value and with "hit or miss" analysis.

RESULTS

The least biased estimate of the Peak IOP was obtained using measurements from both supine and sitting positions, also yielding the highest rate of correct predictions (which was significantly different from 3 of the remaining 4 strategies proposed, p < 0.05). Strategies obtained from the combination of supine, sitting and peak measurements resulted to be least biased for the Mean IOP and the IOP Fluctuation estimate, but all strategies were not found significantly different in terms of correct prediction rate (the only significant difference being between the two strategies based on sitting or supine measurements only, with the former being the one with the highest correct prediction rate).

CONCLUSIONS

The results of this study remark the concept that IOP is a dynamic parameter and that intensive measurement is helpful in determining its characteristics. All office-hour strategies showed a very poor performance of in correctly predicting the considered parameters within the thresholds used in this paper, all scoring a correct prediction rate below 52%.

摘要

背景

众所周知,在健康受试者中,办公时间测量可能无法充分估计眼压均值、峰值及波动情况。本研究的目的是验证不同体位患者的办公时间测量能否估计治疗后原发性开角型青光眼(POAG)患者的24小时眼压(IOP)特征。

方法

分析了70例白种人青光眼患者70只眼的24小时眼压曲线。测量时间为上午9点;下午12点、3点、6点和9点;以及凌晨12点、3点和6点,测量体位分别为仰卧位(使用TonoPen XL眼压计)和坐位(使用Goldmann眼压计)。评估了五种策略估计眼压均值、峰值和波动的能力。每种方法均通过估计误差与实际值的回归分析以及“命中或未命中”分析进行分析。

结果

仰卧位和坐位测量相结合可获得对眼压峰值最无偏差的估计,同时正确预测率也最高(与其余4种策略中的3种有显著差异,p < 0.05)。仰卧位、坐位和峰值测量相结合的策略对眼压均值和眼压波动估计的偏差最小,但在正确预测率方面,所有策略均无显著差异(唯一显著差异存在于仅基于坐位或仰卧位测量的两种策略之间,前者的正确预测率最高)。

结论

本研究结果表明眼压是一个动态参数,密集测量有助于确定其特征。所有办公时间测量策略在正确预测本文所用阈值内的参数方面表现都很差,所有策略的正确预测率均低于52%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c40a/4728814/62dce0efe2a0/12886_2016_191_Fig1_HTML.jpg

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