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A cross-sectional study to compare intraocular pressure measurement by sequential use of Goldman applanation tonometry, dynamic contour tonometry, ocular response analyzer, and Corvis ST
OBJECTIVE: To study the correlation and effect of sequential measurement of intraocular pressure (IOP) with Goldmann applanation tonometer (GAT), ocular response analyzer (ORA), dynamic contour tonometer (DCT), and Corvis ST. SETTING AND DESIGN: Observational cross-sectional series from the comprehe...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Medknow Publications & Media Pvt Ltd
2015
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4730691/ https://www.ncbi.nlm.nih.gov/pubmed/26669331 http://dx.doi.org/10.4103/0301-4738.171956 |
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author | Tejwani, Sushma Dinakaran, Shoruba Joshi, Anuja Shetty, Rohit Roy, Abhijit Sinha |
author_facet | Tejwani, Sushma Dinakaran, Shoruba Joshi, Anuja Shetty, Rohit Roy, Abhijit Sinha |
author_sort | Tejwani, Sushma |
collection | PubMed |
description | OBJECTIVE: To study the correlation and effect of sequential measurement of intraocular pressure (IOP) with Goldmann applanation tonometer (GAT), ocular response analyzer (ORA), dynamic contour tonometer (DCT), and Corvis ST. SETTING AND DESIGN: Observational cross-sectional series from the comprehensive clinic of a tertiary eye care center seen during December 2012. METHODS: One hundred and twenty-five study eyes of 125 patients with normal IOP and biomechanical properties underwent IOP measurement on GAT, DCT, ORA, and Corvis ST; in four different sequences. Patients with high refractive errors, recent surgeries, glaucoma, and corneal disorders were excluded so as to rule out patients with evident altered corneal biomechanics. STATISTICAL ANALYSIS: Linear regression and Bland–Altman using MedCalc software. RESULTS: Multivariate analysis of variance with repeated measures showed no influence of sequence of device use on IOP (P = 0.85). Linear regression r(2) between GAT and Corvis ST, Corvis ST and Goldmann-correlated IOP (IOPg), and DCT and Corvis ST were 0.37 (P = 0.675), 0.63 (P = 0.607), and 0.19 (P = 0.708), respectively. The Bland–Altman agreement of Corvis ST with GAT, corneal compensated IOP, and IOPg was 2 mmHg (−5.0 to + 10.3), −0.5 mmHg (−8.1 to 7.1), and 0.5 mmHg (−6.2 to 7.1), respectively. Intraclass correlation coefficient for repeatability ranged from 0.81 to 0.96. CONCLUSIONS: Correlation between Corvis ST and ORA was found to be good and not so with GAT. However, agreement between the devices was statistically insignificant, and no influence of sequence was observed. |
format | Online Article Text |
id | pubmed-4730691 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-47306912016-02-16 A cross-sectional study to compare intraocular pressure measurement by sequential use of Goldman applanation tonometry, dynamic contour tonometry, ocular response analyzer, and Corvis ST Tejwani, Sushma Dinakaran, Shoruba Joshi, Anuja Shetty, Rohit Roy, Abhijit Sinha Indian J Ophthalmol Original Article OBJECTIVE: To study the correlation and effect of sequential measurement of intraocular pressure (IOP) with Goldmann applanation tonometer (GAT), ocular response analyzer (ORA), dynamic contour tonometer (DCT), and Corvis ST. SETTING AND DESIGN: Observational cross-sectional series from the comprehensive clinic of a tertiary eye care center seen during December 2012. METHODS: One hundred and twenty-five study eyes of 125 patients with normal IOP and biomechanical properties underwent IOP measurement on GAT, DCT, ORA, and Corvis ST; in four different sequences. Patients with high refractive errors, recent surgeries, glaucoma, and corneal disorders were excluded so as to rule out patients with evident altered corneal biomechanics. STATISTICAL ANALYSIS: Linear regression and Bland–Altman using MedCalc software. RESULTS: Multivariate analysis of variance with repeated measures showed no influence of sequence of device use on IOP (P = 0.85). Linear regression r(2) between GAT and Corvis ST, Corvis ST and Goldmann-correlated IOP (IOPg), and DCT and Corvis ST were 0.37 (P = 0.675), 0.63 (P = 0.607), and 0.19 (P = 0.708), respectively. The Bland–Altman agreement of Corvis ST with GAT, corneal compensated IOP, and IOPg was 2 mmHg (−5.0 to + 10.3), −0.5 mmHg (−8.1 to 7.1), and 0.5 mmHg (−6.2 to 7.1), respectively. Intraclass correlation coefficient for repeatability ranged from 0.81 to 0.96. CONCLUSIONS: Correlation between Corvis ST and ORA was found to be good and not so with GAT. However, agreement between the devices was statistically insignificant, and no influence of sequence was observed. Medknow Publications & Media Pvt Ltd 2015-11 /pmc/articles/PMC4730691/ /pubmed/26669331 http://dx.doi.org/10.4103/0301-4738.171956 Text en Copyright: © Indian Journal of Ophthalmology http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non commercially, as long as the author is credited and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Tejwani, Sushma Dinakaran, Shoruba Joshi, Anuja Shetty, Rohit Roy, Abhijit Sinha A cross-sectional study to compare intraocular pressure measurement by sequential use of Goldman applanation tonometry, dynamic contour tonometry, ocular response analyzer, and Corvis ST |
title | A cross-sectional study to compare intraocular pressure measurement by sequential use of Goldman applanation tonometry, dynamic contour tonometry, ocular response analyzer, and Corvis ST |
title_full | A cross-sectional study to compare intraocular pressure measurement by sequential use of Goldman applanation tonometry, dynamic contour tonometry, ocular response analyzer, and Corvis ST |
title_fullStr | A cross-sectional study to compare intraocular pressure measurement by sequential use of Goldman applanation tonometry, dynamic contour tonometry, ocular response analyzer, and Corvis ST |
title_full_unstemmed | A cross-sectional study to compare intraocular pressure measurement by sequential use of Goldman applanation tonometry, dynamic contour tonometry, ocular response analyzer, and Corvis ST |
title_short | A cross-sectional study to compare intraocular pressure measurement by sequential use of Goldman applanation tonometry, dynamic contour tonometry, ocular response analyzer, and Corvis ST |
title_sort | cross-sectional study to compare intraocular pressure measurement by sequential use of goldman applanation tonometry, dynamic contour tonometry, ocular response analyzer, and corvis st |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4730691/ https://www.ncbi.nlm.nih.gov/pubmed/26669331 http://dx.doi.org/10.4103/0301-4738.171956 |
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