Modeling and Prediction of the Immediate and Short-Term Effect of Myopic Orthokeratology.

Sánchez-García, Alicia; Molina-Martín, Ainhoa; Ariza-Gracia, Miguel Ángel; Piñero, David P (2023). Modeling and Prediction of the Immediate and Short-Term Effect of Myopic Orthokeratology. Eye & contact lens, 49(2), pp. 77-82. Wolters Kluwer 10.1097/ICL.0000000000000962

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PURPOSE

To characterize the clinical changes occurring in the initial phase of the orthokeratology (OK) treatment for myopia correction, developing a model of prediction of the refractive changes in such phase.

METHODS

Prospective study enrolling 64 eyes of 32 patients (range, 20-40 years) undergoing myopic OK treatment with the reverse geometry contact lens CRT (Paragon Vision Science). Changes in uncorrected visual acuity (UCVA) and best-corrected visual acuity (BCVA), refraction, corneal topography, ocular aberrations, and corneal epithelial thickness were evaluated during the first hour of OK lens wear and after 1 week of OK treatment. Multiple linear regression analysis was used to obtain a model to predict the short-term refractive effect of OK.

RESULTS

The UCVA improved at each visit, reaching normal visual acuity values after a week (P<0.001) of OK treatment, which was consistent with the significant spherical equivalent (SE) reduction and central flattening (P<0.001). Multiple linear regression analysis revealed that one night change in refraction (ΔR×1N) could be predicted according to the following expression (P<0.001, R2=0.686): ΔR×1N=1.042+0.028×Age+1.014×BCET (baseline central epithelium thickness)-0.752×BKm (baseline mean keratometry)-1.405×BSE (baseline SE)+1.032×ΔR×1 h (change in SE after 1 hr of OK lens use). Similarly, a statistically relevant linear relationship was obtained for predicting the refractive change after 1 week (ΔR×1W) of OK use (P<0.001, R2=0.928): ΔR×1W=3.470-1.046×BSE-1.552×BBCVA (baseline BCVA)-0.391×BKm+0.450×ΔR×1 h.

CONCLUSIONS

The immediate and short-term refractive effects of myopic OK with the reverse geometry contact lens CRT can be predicted with enough accuracy from baseline and first trial visits data.

Item Type:

Journal Article (Original Article)

Division/Institute:

10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - Computational Bioengineering

UniBE Contributor:

Ariza Gracia, Miguel Angel

ISSN:

1542-233X

Publisher:

Wolters Kluwer

Language:

English

Submitter:

Pubmed Import

Date Deposited:

31 Jan 2023 09:31

Last Modified:

11 Jul 2024 15:21

Publisher DOI:

10.1097/ICL.0000000000000962

PubMed ID:

36694311

BORIS DOI:

10.48350/177910

URI:

https://boris.unibe.ch/id/eprint/177910

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