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Estimation of 24-Hour Intraocular Pressure Peak Timing and Variation Using a Contact Lens Sensor

PURPOSE: To compare estimates of 24-hour intraocular pressure (IOP) peak timing and variation obtained using a contact lens sensor (CLS) and using a pneumatonometer. METHODS: Laboratory data collected from 30 healthy volunteers (ages, 20-66 years) in a randomized, controlled clinical trial were anal...

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Autores principales: Liu, John H. K., Mansouri, Kaweh, Weinreb, Robert N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4468106/
https://www.ncbi.nlm.nih.gov/pubmed/26076472
http://dx.doi.org/10.1371/journal.pone.0129529
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author Liu, John H. K.
Mansouri, Kaweh
Weinreb, Robert N.
author_facet Liu, John H. K.
Mansouri, Kaweh
Weinreb, Robert N.
author_sort Liu, John H. K.
collection PubMed
description PURPOSE: To compare estimates of 24-hour intraocular pressure (IOP) peak timing and variation obtained using a contact lens sensor (CLS) and using a pneumatonometer. METHODS: Laboratory data collected from 30 healthy volunteers (ages, 20-66 years) in a randomized, controlled clinical trial were analyzed. Participants were housed for 24 hours in a sleep laboratory. One randomly selected right or left eye was fitted with a CLS that monitored circumferential curvature in the corneoscleral region related to the change of IOP. Electronic output signals of 30 seconds were averaged and recorded every 5 minutes. In the contralateral eye, habitual IOP measurements were taken using a pneumatonometer once every two hours. Simulated 24-hour rhythms in both eyes were determined by cosinor fitting. Simulated peak timings (acrophases) and simulated data variations (amplitudes) were compared between the paired eyes. RESULTS: Bilateral change patterns of average 24-hour data for the group were in parallel. The simulated peak timing in the CLS fitted eye occurred at 4:44 AM ± 210 min (mean ± SD) and the IOP peak timing in the contralateral eye at 4:11 AM ± 120 min (P=0.256, Wilcoxon signed-rank test). There was no significant correlation between the simulated data variations in the paired eyes (P=0.820, linear regression). CONCLUSIONS: The 24-hour CLS data showed a simulated peak timing close to the 24-hour IOP peak timing obtained using the pneumatonometer. However, the simulated variations of 24-hour data in the paired eyes were not correlated. Estimated 24-hour IOP rhythms using the two devices should not be considered interchangeable.
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spelling pubmed-44681062015-06-25 Estimation of 24-Hour Intraocular Pressure Peak Timing and Variation Using a Contact Lens Sensor Liu, John H. K. Mansouri, Kaweh Weinreb, Robert N. PLoS One Research Article PURPOSE: To compare estimates of 24-hour intraocular pressure (IOP) peak timing and variation obtained using a contact lens sensor (CLS) and using a pneumatonometer. METHODS: Laboratory data collected from 30 healthy volunteers (ages, 20-66 years) in a randomized, controlled clinical trial were analyzed. Participants were housed for 24 hours in a sleep laboratory. One randomly selected right or left eye was fitted with a CLS that monitored circumferential curvature in the corneoscleral region related to the change of IOP. Electronic output signals of 30 seconds were averaged and recorded every 5 minutes. In the contralateral eye, habitual IOP measurements were taken using a pneumatonometer once every two hours. Simulated 24-hour rhythms in both eyes were determined by cosinor fitting. Simulated peak timings (acrophases) and simulated data variations (amplitudes) were compared between the paired eyes. RESULTS: Bilateral change patterns of average 24-hour data for the group were in parallel. The simulated peak timing in the CLS fitted eye occurred at 4:44 AM ± 210 min (mean ± SD) and the IOP peak timing in the contralateral eye at 4:11 AM ± 120 min (P=0.256, Wilcoxon signed-rank test). There was no significant correlation between the simulated data variations in the paired eyes (P=0.820, linear regression). CONCLUSIONS: The 24-hour CLS data showed a simulated peak timing close to the 24-hour IOP peak timing obtained using the pneumatonometer. However, the simulated variations of 24-hour data in the paired eyes were not correlated. Estimated 24-hour IOP rhythms using the two devices should not be considered interchangeable. Public Library of Science 2015-06-15 /pmc/articles/PMC4468106/ /pubmed/26076472 http://dx.doi.org/10.1371/journal.pone.0129529 Text en © 2015 Liu et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Liu, John H. K.
Mansouri, Kaweh
Weinreb, Robert N.
Estimation of 24-Hour Intraocular Pressure Peak Timing and Variation Using a Contact Lens Sensor
title Estimation of 24-Hour Intraocular Pressure Peak Timing and Variation Using a Contact Lens Sensor
title_full Estimation of 24-Hour Intraocular Pressure Peak Timing and Variation Using a Contact Lens Sensor
title_fullStr Estimation of 24-Hour Intraocular Pressure Peak Timing and Variation Using a Contact Lens Sensor
title_full_unstemmed Estimation of 24-Hour Intraocular Pressure Peak Timing and Variation Using a Contact Lens Sensor
title_short Estimation of 24-Hour Intraocular Pressure Peak Timing and Variation Using a Contact Lens Sensor
title_sort estimation of 24-hour intraocular pressure peak timing and variation using a contact lens sensor
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4468106/
https://www.ncbi.nlm.nih.gov/pubmed/26076472
http://dx.doi.org/10.1371/journal.pone.0129529
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