Literature DB >> 22570353

Factors predicting the rate of functional progression in early and suspected glaucoma.

Stuart K Gardiner1, Chris A Johnson, Shaban Demirel.   

Abstract

PURPOSE: Clinical trials in glaucoma have often sought to predict whether a patient will progress or remain stable. This study proposes to combine and support results from earlier studies, forming a model to predict the actual rate of functional change in glaucoma.
METHODS: Data were taken from 259 eyes of 150 participants with early or suspected glaucoma in the ongoing Portland Progression Project. A total of 3854 study visits were available, each consisting of visual acuity, confocal scanning laser ophthalmoscopy (CSLO), and perimetry. The rate of functional change was calculated over each of 1541 series of six consecutive visits. Mixed effects models were formed to predict these rates using baseline perimetric measurements and CSLO parameters, together with IOP, age, and change in visual acuity through the series (to remove any confound from media changes).
RESULTS: Cup volume from CSLO was predictive of subsequent rate of functional change (P = 0.036), together with baseline mean deviation (P < 0.001) and pattern standard deviation (P = 0.097), age (P = 0.013), maximum IOP during the sequence (P = 0.004), and change in acuity during the sequence (P = 0.022). In a similar model, rim area was less predictive of functional change (P = 0.066).
CONCLUSIONS: A larger optic cup and/or a more damaged visual field are predictive of more rapid perimetric sensitivity loss. The structural parameters most closely correlated with current functional status may not be the parameters that are most useful for predicting the future course of a patient's disease. Maximum IOP may be a more important risk factor than mean IOP over the same time period.

Entities:  

Mesh:

Year:  2012        PMID: 22570353      PMCID: PMC3406886          DOI: 10.1167/iovs.11-9065

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  45 in total

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2.  The importance of rates in glaucoma.

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4.  Test-retest variability in glaucomatous visual fields.

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Journal:  Am J Ophthalmol       Date:  1989-08-15       Impact factor: 5.258

5.  Psychophysical investigation of ganglion cell loss in early glaucoma.

Authors:  Paul G D Spry; Chris A Johnson; Steven L Mansberger; George A Cioffi
Journal:  J Glaucoma       Date:  2005-02       Impact factor: 2.503

6.  Cup size predicts subsequent functional change in early glaucoma.

Authors:  Stuart K Gardiner; Chris A Johnson; Shaban Demirel
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7.  Initial arcuate defects within the central 10 degrees in glaucoma.

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8.  Fluctuation of intraocular pressure and glaucoma progression in the early manifest glaucoma trial.

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9.  Estimating the rate of progressive visual field damage in those with open-angle glaucoma, from cross-sectional data.

Authors:  Aimee Teo Broman; Harry A Quigley; Sheila K West; Joanne Katz; Beatriz Munoz; Karen Bandeen-Roche; James M Tielsch; David S Friedman; Jonathan Crowston; Hugh R Taylor; Rohit Varma; M Cristina Leske; Boel Bengtsson; Anders Heijl; Mingguang He; Paul J Foster
Journal:  Invest Ophthalmol Vis Sci       Date:  2008-01       Impact factor: 4.799

10.  Intraocular pressure fluctuation a risk factor for visual field progression at low intraocular pressures in the advanced glaucoma intervention study.

Authors:  Joseph Caprioli; Anne L Coleman
Journal:  Ophthalmology       Date:  2008-02-20       Impact factor: 12.079

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  30 in total

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2.  Localized Changes in Retinal Nerve Fiber Layer Thickness as a Predictor of Localized Functional Change in Glaucoma.

Authors:  Stuart K Gardiner; Brad Fortune; Shaban Demirel
Journal:  Am J Ophthalmol       Date:  2016-08-01       Impact factor: 5.258

3.  Can a contact lens sensor predict the success of trabectome surgery?

Authors:  Naoki Tojo; Atsushi Hayashi
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2020-01-03       Impact factor: 3.117

4.  Nonlinear, multilevel mixed-effects approach for modeling longitudinal standard automated perimetry data in glaucoma.

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Journal:  Invest Ophthalmol Vis Sci       Date:  2013-08-15       Impact factor: 4.799

5.  Automated Segmentation Errors When Using Optical Coherence Tomography to Measure Retinal Nerve Fiber Layer Thickness in Glaucoma.

Authors:  Steven L Mansberger; Shivali A Menda; Brad A Fortune; Stuart K Gardiner; Shaban Demirel
Journal:  Am J Ophthalmol       Date:  2016-11-04       Impact factor: 5.258

6.  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

7.  Agreement in identification of glaucomatous progression between the optic disc photography and Heidelberg retina tomography in young glaucomatous patients.

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8.  A method to estimate the amount of neuroretinal rim tissue in glaucoma: comparison with current methods for measuring rim area.

Authors:  Stuart K Gardiner; Ruojin Ren; Hongli Yang; Brad Fortune; Claude F Burgoyne; Shaban Demirel
Journal:  Am J Ophthalmol       Date:  2013-11-13       Impact factor: 5.258

9.  The impact of central corneal thickness on the risk for glaucoma in a large multiethnic population.

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Journal:  J Glaucoma       Date:  2014-12       Impact factor: 2.503

Review 10.  Macular imaging with optical coherence tomography in glaucoma.

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