Literature DB >> 23357622

Seasonal changes in visual field sensitivity and intraocular pressure in the ocular hypertension treatment study.

Stuart K Gardiner1, Shaban Demirel, Mae O Gordon, Michael A Kass.   

Abstract

PURPOSE: Longitudinal testing plays a key role in glaucoma management. Variability between visits hampers the ability to monitor progression. It has previously been shown that average intraocular pressure (IOP) exhibits seasonal fluctuations. This study examines whether visual field sensitivity also exhibits seasonal fluctuations and seeks to determine whether such fluctuations are correlated to seasonal IOP effects.
DESIGN: Comparative case series. PARTICIPANTS: A total of 33 873 visits by 1636 participants enrolled in the Ocular Hypertension Treatment Study. Participants were split into 6 geographic zones according to the prevailing climate in their location. TESTING: At each visit, standard automated perimetry was conducted on each eye, and IOP was measured. MAIN OUTCOME MEASURES: Mixed effects regression models were formed to look for sinusoidal periodic effects on the change in perimetric mean deviation since the last visit (ΔMD) and on IOP, both overall and within each zone.
RESULTS: When all the data were included, a significant seasonal effect on ΔMD was found with magnitude 0.06 dB, peaking in February (P < 0.001). Five of the 6 geographic zones exhibited significant seasonal effects on ΔMD, peaking between January and April, with magnitudes ranging from 0.04 dB (P = 0.049) to 0.21 dB (P < 0.001). Zones with greater climactic variation showed larger seasonal effects on ΔMD. All 6 zones exhibited a seasonal effect on IOP, peaking in January or February, with magnitudes ranging from 0.14 to 0.39 mmHg (P ≤ 0.02 in all cases). However, there was no evidence of a significant association between the magnitudes or dates of peaks of the 2 seasonal effects.
CONCLUSIONS: The mean deviation was significantly higher in winter than in summer. There is no evidence of an association with seasonal IOP fluctuations. The cause of the seasonal effect on visual field sensitivity is unknown. These findings may help shed light on the glaucomatous disease process and aid efforts to reduce test-retest variability.
Copyright © 2013 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23357622      PMCID: PMC3618610          DOI: 10.1016/j.ophtha.2012.09.056

Source DB:  PubMed          Journal:  Ophthalmology        ISSN: 0161-6420            Impact factor:   12.079


  27 in total

1.  Variability components of standard automated perimetry and frequency-doubling technology perimetry.

Authors:  P G Spry; C A Johnson; A M McKendrick; A Turpin
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2.  Response variability in the visual field: comparison of optic neuritis, glaucoma, ocular hypertension, and normal eyes.

Authors:  D B Henson; S Chaudry; P H Artes; E B Faragher; A Ansons
Journal:  Invest Ophthalmol Vis Sci       Date:  2000-02       Impact factor: 4.799

3.  Properties of perimetric threshold estimates from full threshold, ZEST, and SITA-like strategies, as determined by computer simulation.

Authors:  Andrew Turpin; Allison M McKendrick; Chris A Johnson; Algis J Vingrys
Journal:  Invest Ophthalmol Vis Sci       Date:  2003-11       Impact factor: 4.799

4.  The effects of prior light history on the suppression of melatonin by light in humans.

Authors:  Marc Hébert; Stacia K Martin; Clara Lee; Charmane I Eastman
Journal:  J Pineal Res       Date:  2002-11       Impact factor: 13.007

5.  The rate of visual field change in the ocular hypertension treatment study.

Authors:  Shaban Demirel; Carlos Gustavo V De Moraes; Stuart K Gardiner; Jeffrey M Liebmann; George A Cioffi; Robert Ritch; Mae O Gordon; Michael A Kass
Journal:  Invest Ophthalmol Vis Sci       Date:  2012-01-25       Impact factor: 4.799

6.  Effect of treatment on the rate of visual field change in the ocular hypertension treatment study observation group.

Authors:  Carlos Gustavo De Moraes; Shaban Demirel; Stuart K Gardiner; Jeffrey M Liebmann; George A Cioffi; Robert Ritch; Mae O Gordon; Michael A Kass
Journal:  Invest Ophthalmol Vis Sci       Date:  2012-04-02       Impact factor: 4.799

7.  Intraocular pressure and outflow facility. Effect of estrogen and combined estrogen-progestin treatment in normal human eyes.

Authors:  G Treister; S Mannor
Journal:  Arch Ophthalmol       Date:  1970-03

8.  Some factors affecting the distribution of intraocular pressures in a population.

Authors:  B Bengtsson
Journal:  Acta Ophthalmol (Copenh)       Date:  1972

9.  Seasonal variation in intraocular pressure.

Authors:  M Blumenthal; R Blumenthal; E Peritz; M Best
Journal:  Am J Ophthalmol       Date:  1970-04       Impact factor: 5.258

10.  The Ocular Hypertension Treatment Study: a randomized trial determines that topical ocular hypotensive medication delays or prevents the onset of primary open-angle glaucoma.

Authors:  Michael A Kass; Dale K Heuer; Eve J Higginbotham; Chris A Johnson; John L Keltner; J Philip Miller; Richard K Parrish; M Roy Wilson; Mae O Gordon
Journal:  Arch Ophthalmol       Date:  2002-06
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  13 in total

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Journal:  Doc Ophthalmol       Date:  2015-06-16       Impact factor: 2.379

3.  Reduced humidity experienced by mice in vivo coincides with reduced outflow facility measured ex vivo.

Authors:  Ester Reina-Torres; Jacques A Bertrand; Jeffrey O'Callaghan; Joseph M Sherwood; Peter Humphries; Darryl R Overby
Journal:  Exp Eye Res       Date:  2019-07-24       Impact factor: 3.467

4.  Differences in the Relation Between Perimetric Sensitivity and Variability Between Locations Across the Visual Field.

Authors:  Stuart K Gardiner
Journal:  Invest Ophthalmol Vis Sci       Date:  2018-07-02       Impact factor: 4.799

5.  Time-of-Year Variation in Intraocular Pressure.

Authors:  Christina E Morettin; Daniel K Roberts; Tricia L Newman; Yongyi Yang; Janice M McMahon; Mary Flynn Roberts; Bruce A Teitelbaum; Janis E Winters
Journal:  J Glaucoma       Date:  2021-11-01       Impact factor: 2.503

6.  Comparison of intraocular pressure variability in glaucoma measured by multiple clinicians with those by one clinician.

Authors:  Motofumi Kawai; Naoko Kawai; Seigo Nakabayashi; Reiko Kinouchi; Akitoshi Yoshida
Journal:  Int Ophthalmol       Date:  2016-04-12       Impact factor: 2.031

7.  Observation seasonal variation of intraocular pressure in young healthy volunteers.

Authors:  Na Liao; Yan-Qian Xie; Guang-Yun Mao; Fan-Jun Bao; Zhong Lin; Hui-Lyu Jiang; Yuan-Bo Liang
Journal:  Int J Ophthalmol       Date:  2022-01-18       Impact factor: 1.779

8.  Does eye examination order for standard automated perimetry matter?

Authors:  Stephen R Kelly; Susan R Bryan; David P Crabb
Journal:  Acta Ophthalmol       Date:  2019-02-22       Impact factor: 3.761

9.  Seasonal changes of 24-hour intraocular pressure rhythm in healthy Shanghai population.

Authors:  Jingyi Cheng; Ming Xiao; Huan Xu; Shaobin Fang; Xu Chen; Xiangmei Kong; Xinghuai Sun
Journal:  Medicine (Baltimore)       Date:  2016-08       Impact factor: 1.889

10.  Using perimetric data to estimate ganglion cell loss for detecting progression of glaucoma: a comparison of models.

Authors:  Derek A Price; William H Swanson; Douglas G Horner
Journal:  Ophthalmic Physiol Opt       Date:  2017-04-25       Impact factor: 3.117

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