Correlation between short-term and long-term intraocular pressure fluctuation in glaucoma patients

Naoki Tojo, Shinya Abe, Mari Miyakoshi, Atsushi Hayashi Department of Ophthalmology, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama, Japan Purpose: We investigated correlations between short-term and long-term intraocular pressure (IOP) fluctuations....

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Autores principales:	Tojo N, Abe S, Miyakoshi M, Hayashi A
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2016
Materias:	intraocular pressure (IOP) contact lens sensor (CLS) triggerfish fluctuation Ophthalmology RE1-994
Acceso en línea:	https://doaj.org/article/a202957c5e864b7e9234e9a4c26fbbc7
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spelling	oai:doaj.org-article:a202957c5e864b7e9234e9a4c26fbbc72021-12-02T07:09:23ZCorrelation between short-term and long-term intraocular pressure fluctuation in glaucoma patients1177-5483https://doaj.org/article/a202957c5e864b7e9234e9a4c26fbbc72016-09-01T00:00:00Zhttps://www.dovepress.com/correlation-between-short-term-and-long-term-intraocular-pressure-fluc-peer-reviewed-article-OPTHhttps://doaj.org/toc/1177-5483Naoki Tojo, Shinya Abe, Mari Miyakoshi, Atsushi Hayashi Department of Ophthalmology, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama, Japan Purpose: We investigated correlations between short-term and long-term intraocular pressure (IOP) fluctuations. Methods: We examined 50 eyes of glaucoma patients who were followed for >2 years. We measured short-term IOP fluctuation using a Triggerfish® contact lens sensor (CLS). The short-term IOP fluctuation (mVeq) was defined as the difference between the maximum value and the minimum value measured during the 24-hour course with CLS. The long-term IOP fluctuation was defined by four parameters: 1) the mean IOP (mmHg) determined during follow-up; 2) the IOP difference, which was defined as the difference between the maximum IOP and the minimum IOP; 3) the standard deviation of IOP; and 4) the peak IOP, which was defined as the maximum IOP. Correlations between these parameters and the short-term IOP fluctuation were examined. Results: The mean follow-up period was 5.4 years. The average IOP was 15.0±4.0 mmHg. The range of short-term IOP fluctuation identified with CLS was significantly correlated with all the four long-term IOP fluctuation parameters. Conclusion: Short-term IOP fluctuations were found to be associated with long-term IOP fluctuations. Examination of 24-hour IOP fluctuations with the CLS might be useful for predicting the long-term IOP fluctuation. Keywords: intraocular pressure, contact lens sensor, Triggerfish®, fluctuationTojo NAbe SMiyakoshi MHayashi ADove Medical Pressarticleintraocular pressure (IOP)contact lens sensor (CLS)triggerfishfluctuationOphthalmologyRE1-994ENClinical Ophthalmology, Vol Volume 10, Pp 1713-1717 (2016)
institution	DOAJ
collection	DOAJ
language	EN
topic	intraocular pressure (IOP) contact lens sensor (CLS) triggerfish fluctuation Ophthalmology RE1-994
spellingShingle	intraocular pressure (IOP) contact lens sensor (CLS) triggerfish fluctuation Ophthalmology RE1-994 Tojo N Abe S Miyakoshi M Hayashi A Correlation between short-term and long-term intraocular pressure fluctuation in glaucoma patients
description	Naoki Tojo, Shinya Abe, Mari Miyakoshi, Atsushi Hayashi Department of Ophthalmology, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama, Japan Purpose: We investigated correlations between short-term and long-term intraocular pressure (IOP) fluctuations. Methods: We examined 50 eyes of glaucoma patients who were followed for >2 years. We measured short-term IOP fluctuation using a Triggerfish® contact lens sensor (CLS). The short-term IOP fluctuation (mVeq) was defined as the difference between the maximum value and the minimum value measured during the 24-hour course with CLS. The long-term IOP fluctuation was defined by four parameters: 1) the mean IOP (mmHg) determined during follow-up; 2) the IOP difference, which was defined as the difference between the maximum IOP and the minimum IOP; 3) the standard deviation of IOP; and 4) the peak IOP, which was defined as the maximum IOP. Correlations between these parameters and the short-term IOP fluctuation were examined. Results: The mean follow-up period was 5.4 years. The average IOP was 15.0±4.0 mmHg. The range of short-term IOP fluctuation identified with CLS was significantly correlated with all the four long-term IOP fluctuation parameters. Conclusion: Short-term IOP fluctuations were found to be associated with long-term IOP fluctuations. Examination of 24-hour IOP fluctuations with the CLS might be useful for predicting the long-term IOP fluctuation. Keywords: intraocular pressure, contact lens sensor, Triggerfish®, fluctuation
format	article
author	Tojo N Abe S Miyakoshi M Hayashi A
author_facet	Tojo N Abe S Miyakoshi M Hayashi A
author_sort	Tojo N
title	Correlation between short-term and long-term intraocular pressure fluctuation in glaucoma patients
title_short	Correlation between short-term and long-term intraocular pressure fluctuation in glaucoma patients
title_full	Correlation between short-term and long-term intraocular pressure fluctuation in glaucoma patients
title_fullStr	Correlation between short-term and long-term intraocular pressure fluctuation in glaucoma patients
title_full_unstemmed	Correlation between short-term and long-term intraocular pressure fluctuation in glaucoma patients
title_sort	correlation between short-term and long-term intraocular pressure fluctuation in glaucoma patients
publisher	Dove Medical Press
publishDate	2016
url	https://doaj.org/article/a202957c5e864b7e9234e9a4c26fbbc7
work_keys_str_mv	AT tojon correlationbetweenshorttermandlongtermintraocularpressurefluctuationinglaucomapatients AT abes correlationbetweenshorttermandlongtermintraocularpressurefluctuationinglaucomapatients AT miyakoshim correlationbetweenshorttermandlongtermintraocularpressurefluctuationinglaucomapatients AT hayashia correlationbetweenshorttermandlongtermintraocularpressurefluctuationinglaucomapatients
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Correlation between short-term and long-term intraocular pressure fluctuation in glaucoma patients

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