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Photorefractive keratectomy (PRK) Prediction, Examination, tReatment, Follow-up, Evaluation, Chronic Treatment (PERFECT) protocol - A new algorithmic approach for managing post PRK haze

PURPOSE: The aim of this study was to discuss the possible risk factors predisposing to post photorefractive keratectomy (PRK) haze formation and develop and validate a risk scoring system, so that this could be applied to our clinical practice as an algorithmic approach. METHODS: Study was divided...

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Autores principales: Kundu, Gairik, D'Souza, Sharon, Lalgudi, Vaitheeswaran Ganesan, Arora, Vishal, Chhabra, Aishwarya, Deshpande, Kalyani, Shetty, Rohit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7857001/
https://www.ncbi.nlm.nih.gov/pubmed/33229676
http://dx.doi.org/10.4103/ijo.IJO_2623_20
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author Kundu, Gairik
D'Souza, Sharon
Lalgudi, Vaitheeswaran Ganesan
Arora, Vishal
Chhabra, Aishwarya
Deshpande, Kalyani
Shetty, Rohit
author_facet Kundu, Gairik
D'Souza, Sharon
Lalgudi, Vaitheeswaran Ganesan
Arora, Vishal
Chhabra, Aishwarya
Deshpande, Kalyani
Shetty, Rohit
author_sort Kundu, Gairik
collection PubMed
description PURPOSE: The aim of this study was to discuss the possible risk factors predisposing to post photorefractive keratectomy (PRK) haze formation and develop and validate a risk scoring system, so that this could be applied to our clinical practice as an algorithmic approach. METHODS: Study was divided into 2 arms, in the retrospective arm we looked at 238 eyes of patients undergoing PRK where certain presumed risk factors from literature and clinical experience were identified and statistical significance of association was studied in the development of corneal haze. The risk scoring system was applied to the 450 eyes in the prospective arm for validation. This was then used to formulate an algorithmic approach to manage post-PRK haze. RESULTS: 22 out of 238 eyes in the retrospective arm developed haze where risk factors such as contact lens intolerance, altered tear film break up time, meibomian gland drop out and vitamin d levels were significantly associated with post-PRK haze (p < 0.05) and these factors were identified in the prospective arm. Treatment of these modifiable factors led to a significant reduction in post-PRK haze. CONCLUSION: Thus identifying and treating risk factors of haze in patients undergoing PRK could improve surgical outcomes and patient satisfaction.
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spelling pubmed-78570012021-02-05 Photorefractive keratectomy (PRK) Prediction, Examination, tReatment, Follow-up, Evaluation, Chronic Treatment (PERFECT) protocol - A new algorithmic approach for managing post PRK haze Kundu, Gairik D'Souza, Sharon Lalgudi, Vaitheeswaran Ganesan Arora, Vishal Chhabra, Aishwarya Deshpande, Kalyani Shetty, Rohit Indian J Ophthalmol Original Article PURPOSE: The aim of this study was to discuss the possible risk factors predisposing to post photorefractive keratectomy (PRK) haze formation and develop and validate a risk scoring system, so that this could be applied to our clinical practice as an algorithmic approach. METHODS: Study was divided into 2 arms, in the retrospective arm we looked at 238 eyes of patients undergoing PRK where certain presumed risk factors from literature and clinical experience were identified and statistical significance of association was studied in the development of corneal haze. The risk scoring system was applied to the 450 eyes in the prospective arm for validation. This was then used to formulate an algorithmic approach to manage post-PRK haze. RESULTS: 22 out of 238 eyes in the retrospective arm developed haze where risk factors such as contact lens intolerance, altered tear film break up time, meibomian gland drop out and vitamin d levels were significantly associated with post-PRK haze (p < 0.05) and these factors were identified in the prospective arm. Treatment of these modifiable factors led to a significant reduction in post-PRK haze. CONCLUSION: Thus identifying and treating risk factors of haze in patients undergoing PRK could improve surgical outcomes and patient satisfaction. Wolters Kluwer - Medknow 2020-12 2020-11-23 /pmc/articles/PMC7857001/ /pubmed/33229676 http://dx.doi.org/10.4103/ijo.IJO_2623_20 Text en Copyright: © 2020 Indian Journal of Ophthalmology http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Kundu, Gairik
D'Souza, Sharon
Lalgudi, Vaitheeswaran Ganesan
Arora, Vishal
Chhabra, Aishwarya
Deshpande, Kalyani
Shetty, Rohit
Photorefractive keratectomy (PRK) Prediction, Examination, tReatment, Follow-up, Evaluation, Chronic Treatment (PERFECT) protocol - A new algorithmic approach for managing post PRK haze
title Photorefractive keratectomy (PRK) Prediction, Examination, tReatment, Follow-up, Evaluation, Chronic Treatment (PERFECT) protocol - A new algorithmic approach for managing post PRK haze
title_full Photorefractive keratectomy (PRK) Prediction, Examination, tReatment, Follow-up, Evaluation, Chronic Treatment (PERFECT) protocol - A new algorithmic approach for managing post PRK haze
title_fullStr Photorefractive keratectomy (PRK) Prediction, Examination, tReatment, Follow-up, Evaluation, Chronic Treatment (PERFECT) protocol - A new algorithmic approach for managing post PRK haze
title_full_unstemmed Photorefractive keratectomy (PRK) Prediction, Examination, tReatment, Follow-up, Evaluation, Chronic Treatment (PERFECT) protocol - A new algorithmic approach for managing post PRK haze
title_short Photorefractive keratectomy (PRK) Prediction, Examination, tReatment, Follow-up, Evaluation, Chronic Treatment (PERFECT) protocol - A new algorithmic approach for managing post PRK haze
title_sort photorefractive keratectomy (prk) prediction, examination, treatment, follow-up, evaluation, chronic treatment (perfect) protocol - a new algorithmic approach for managing post prk haze
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7857001/
https://www.ncbi.nlm.nih.gov/pubmed/33229676
http://dx.doi.org/10.4103/ijo.IJO_2623_20
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