Intraocular pressure change over a habitual 24-hour period after changing posture or drinking water and related factors in normal tension glaucoma.
Intraocular pressure change over a habitual 24-hour period after changing posture or drinking water and related factors in normal tension glaucoma.
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正常眼压性青光眼改变姿势或饮水后习惯性 24 小时内的眼压变化及相关因素。
DOI：
10.1167/iovs.13-11792
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发表时间：
2013
影响因子：
4.4
通讯作者：
Araie M.
中科院分区：
文献类型：
--
作者：
Sakata R;Aihara M;Murata H;Saito H;Iwase A;Yasuda N;Araie M.
目的：我们研究了习惯性姿势（白天坐、夜间仰卧）的 24 小时眼压 (H24h-IOP) 与姿势改变测试 (PCT-IOP) 和饮水测试 (WDT-IOP) 后的眼压之间的相关性。我们还调查了正常眼压性青光眼 (NTG) 患者的眼部和全身因素。方法：日本 NTG 患者在 24 小时内接受 H24h-IOP、PCT-IOP 和 WDT-IOP 测量。使用回归分析研究 H24h-IOP、PCT-IOP 和 WDT-IOP 之间的相关性以及眼部/全身影响因素。结果：纳入 33 名患者。峰值 H24h-IOP 与峰值 PCT-IOP 和峰值 WDT-IOP 呈正相关（估计值 = 0.422 和 0.419，P≤ 0.010），并且峰值 PCT-IOP 与 WDT-IOP 呈正相关（0.44，P= 0.002）。峰值 H24h-IOP 与屈光度相关（0.36，P= 0.048），与平均偏差呈负相关（MD,− 0.066，P= 0.031）。 MD和基线IOP（H24h-IOP平均值）与H24h-IOP波动呈负相关（− 0.058和− 0.58，P≤0.050）。屈光度、基线 IOP、平均血压 (mBP) 和体重指数 (BMI) 与峰值 PCT-IOP 相关（分别为 0.23、0.52、0.097 和 0.32，P≤ 0.038）。 PCT-IOP 差异与屈光度和 mBP 相关（0.31 和 0.093，P≤ 0.016），与年龄呈负相关（− 0.069，P= 0.003）。中央角膜厚度、基线IOP、年龄和BMI与峰值WDT-IOP相关（0.030、0.40、0.088和0.26，P≤0.050）。年龄和BMI与WDT-IOP差值相关（0.086和0.20，P<0.032）。结论：H24h-、PCT-和WDT-IOP峰值之间呈正相关。 NTG 中视野较差与 H24h-IOP 峰值较高和波动较大相关。一些眼部/全身因素对于解释 H24h-、PCT- 和 WDT-IOP 很重要。
Purpose.: We investigated the correlation between 24-hour IOP in the habitual (sitting during day and supine during night) position (H24h-IOP) and IOP after a postural-change test (PCT-IOP) and a water-drinking test (WDT-IOP). We also investigated ocular and systemic factors related with them in patients with normal tension glaucoma (NTG).Methods.: Japanese NTG patients underwent H24h-IOP, PCT-IOP, and WDT-IOP measurements during a 24-hour period. Correlations among H24h-IOP, PCT-IOP, and WDT-IOP, and contributing ocular/systemic factors were investigated using regression analysis.Results.: There were 33 patients included. Peak H24h-IOP correlated positively with peak PCT-IOP and peak WDT-IOP (estimate= 0.422 and 0.419, P≤ 0.010), and peak PCT-IOP with WDT-IOP (0.44, P= 0.002). Peak H24h-IOP correlated with refraction (0.36, P= 0.048) and negatively with the mean deviation (MD,− 0.066, P= 0.031). MD and baseline IOP (the mean of H24h-IOP) correlated negatively with the H24h-IOP fluctuation (− 0.058 and− 0.58, P≤ 0.050). Refraction, baseline IOP, mean blood pressure (mBP), and body mass index (BMI) correlated with peak PCT-IOP (0.23, 0.52, 0.097, and 0.32, respectively, P≤ 0.038). PCT-IOP difference correlated with refraction and mBP (0.31 and 0.093, P≤ 0.016) and negatively with age (− 0.069, P= 0.003). Central corneal thickness, baseline IOP, age, and BMI correlated with peak WDT-IOP (0.030, 0.40, 0.088, and 0.26, P≤ 0.050). Age and BMI correlated with WDT-IOP difference (0.086 and 0.20, P< 0.032).Conclusions.: Positive correlation was found among the peaks of H24h-, PCT-, and WDT-IOP. A worse visual field was associated with higher peak and greater fluctuation of H24h-IOP in NTG. Several ocular/systemic factors were important in interpreting H24h-, PCT-, and WDT-IOP.