A Predictive Model for Postoperative Intraocular Pressure Among Patients Undergoing Laser in Situ Keratomileusis (LASIK)

The aim of this study was to develop a predictive model based on preoperative variables for estimating postoperative intraocular pressure (IOP) of those eyes undergoing LASIK surgery, to predict the amount of underestimated IOP after LASIK for myopia and myopic astigmatism. Pretest-post-test longitu...

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Veröffentlicht in:American journal of ophthalmology 2006-03, Vol.141 (3), p.530-536.e1
Hauptverfasser: Yang, Chia-Ching, Wang, I.-Jong, Chang, Yue-Cune, Lin, Luke Long-Kuang, Chen, Tony Hsiu-Hsi
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container_issue 3
container_start_page 530
container_title American journal of ophthalmology
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creator Yang, Chia-Ching
Wang, I.-Jong
Chang, Yue-Cune
Lin, Luke Long-Kuang
Chen, Tony Hsiu-Hsi
description The aim of this study was to develop a predictive model based on preoperative variables for estimating postoperative intraocular pressure (IOP) of those eyes undergoing LASIK surgery, to predict the amount of underestimated IOP after LASIK for myopia and myopic astigmatism. Pretest-post-test longitudinal study. Both eyes of 193 eligible subjects who underwent LASIK procedures at the Department of Ophthalmology, National Taiwan University Hospital, from July 2000 to December 2002 for myopia and myopic astigmatism were identified to build up the predictive models. IOPs were measured with noncontact air-puff tonometry. Information on age, gender, preoperative central corneal thickness (CCT), preoperative central corneal curvature (CCK), preoperative spherical equivalent refractive error, and ablation depth was collected and applied for predicting postoperative IOP after LASIK based on linear mixed model. Significant predictors for postoperative IOP after myopic LASIK procedures included age, gender, preoperative IOP, ablation depth, preoperative CCT, and preoperative spherical equivalent refractive errors. The linear mixed model, taking into account these significant preoperative correlates and the correlation of IOPs between both eyes of the same patient, explained 91% of the variation of postoperative IOP. A statistical model was developed for predicting the amount of underestimated IOP after LASIK for myopia and myopic astigmatism, which is of clinical importance to uncover ocular hypertension among patients whose information on postoperative IOP immediately after LASIK is not available.
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subjects Adult
Age
Age Factors
Astigmatism
Astigmatism - surgery
Biological and medical sciences
Cornea - surgery
Female
Gender
Glaucoma
Hospitals
Humans
Intraocular Pressure
Keratomileusis, Laser In Situ
Lasers
Longitudinal Studies
Male
Medical sciences
Miscellaneous
Models, Statistical
Myopia - surgery
Ocular Hypertension - diagnosis
Ophthalmology
Patients
Postoperative Period
Sex Factors
Surgical Flaps
Tonometry, Ocular
title A Predictive Model for Postoperative Intraocular Pressure Among Patients Undergoing Laser in Situ Keratomileusis (LASIK)
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