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Factors Influencing Intraocular Pressure Changes after Laser In Situ Keratomileusis with Flaps Created by Femtosecond Laser or Mechanical Microkeratome

机译:飞秒激光或机械微角膜刀产生的皮瓣激光原位角膜磨镶术后影响眼压变化的因素

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摘要

The aim of this study is to describe factors that influence the measured intraocular pressure (IOP) change and to develop a predictive model after myopic laser in situ keratomileusis (LASIK) with a femtosecond (FS) laser or a microkeratome (MK). We retrospectively reviewed preoperative, intraoperative, and 12-month postoperative medical records in 2485 eyes of 1309 patients who underwent LASIK with an FS laser or an MK for myopia and myopic astigmatism. Data were extracted, such as preoperative age, sex, IOP, manifest spherical equivalent (MSE), central corneal keratometry (CCK), central corneal thickness (CCT), and intended flap thickness and postoperative IOP (postIOP) at 1, 6 and 12 months. Linear mixed model (LMM) and multivariate linear regression (MLR) method were used for data analysis. In both models, the preoperative CCT and ablation depth had significant effects on predicting IOP changes in the FS and MK groups. The intended flap thickness was a significant predictor only in the FS laser group (P < .0001 in both models). In the FS group, LMM and MLR could respectively explain 47.00% and 18.91% of the variation of postoperative IOP underestimation (R2 = 0.47 and R2 = 0.1891). In the MK group, LMM and MLR could explain 37.79% and 19.13% of the variation of IOP underestimation (R2 = 0.3779 and 0.1913 respectively). The best-fit model for prediction of IOP changes was the LMM in LASIK with an FS laser.
机译:这项研究的目的是描述影响测量的眼内压(IOP)变化的因素,并开发用飞秒(FS)激光或微角膜刀(MK)进行近视激光原位角膜磨镶术(LASIK)后的预测模型。我们回顾性分析了1309例行FS激光或MK LASIK治疗近视和近视散光的1309例患者的2485眼的术前,术中和术后12个月的病历。提取数据,例如术前年龄,性别,眼压,明显球当量(MSE),中央角膜角膜曲率法(CCK),中央角膜厚度(CCT)以及预期的皮瓣厚度和术后IOP(postIOP),分别为1、6和12个月。线性混合模型(LMM)和多元线性回归(MLR)方法用于数据分析。在两种模型中,术前CCT和消融深度对预测FS和MK组眼压的变化均具有显着影响。仅在FS激光组中,预期的皮瓣厚度才是重要的预测指标(两个模型中的P <.0001)。在FS组,LMM和MLR可以分别解释术后眼压低估的47.00%和18.91%(R 2 = 0.47和R 2 = 0.1891)。在MK组中,LMM和MLR可以解释IOP低估变化的37.79%和19.13%(R 2 分别为0.3779和0.1913)。预测IOP变化的最合适模型是FSIK激光在LASIK中的LMM。

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