A Predictive Model for Potoperative Intraocular Preure Among Patient Undergoing Laer in itu Keratomileui (LAIK) Original Reearch Article

Purpoe The aim of thi tudy wa to develop a predictive model baed on preoperative variable for etimating potoperative intraocular preure (IOP) of thoe eye undergoing LAIK urgery, to predict the amount of underetimated IOP after LAIK for myopia and myopic atigmatim. Deign Pretet-pot-tet longitudinal tudy. Method Both eye of 193 eligible ubject who underwent LAIK procedure at the Department of Ophthalmology, National Taiwan Univerity Hopital, from July 2000 to December 2002 for myopia and myopic atigmatim were identified to build up the predictive model. IOP were meaured with noncontact air-puff tonometry. Information on age, gender, preoperative central corneal thickne (CCT), preoperative central corneal curvature (CCK), preoperative pherical equivalent refractive error, and ablation depth wa collected and applied for predicting potoperative IOP after LAIK baed on linear mixed model. Reult ignificant predictor for potoperative IOP after myopic LAIK procedure included age, gender, preoperative IOP, ablation depth, preoperative CCT, and preoperative pherical equivalent refractive error. The linear mixed model, taking into account thee ignificant preoperative correlate and the correlation of IOP between both eye of the ame patient, explained 91% of the variation of potoperative IOP. Concluion A tatitical model wa developed for predicting the amount of underetimated IOP after LAIK for myopia and myopic atigmatim, which i of clinical importance to uncover ocular hypertenion among patient whoe information on potoperative IOP immediately after LAIK i not available.