Comparing the usefulness of a new algorithm to measure visual field using the variational Bayes linear regression in glaucoma patients, in comparison to the Swedish interactive thresholding algorithm

Background/aimsWe previously reported that the visual field (VF) prediction model using the variational Bayes linear regression (VBLR) is useful for accurately predicting VF progression in glaucoma (Invest Ophthalmol Vis Sci. 2014, 2018). We constructed a VF measurement algorithm using VBLR, and the purpose of this study was to investigate its usefulness.Method122 eyes of 73 patients with open-angle glaucoma were included in the current study. VF measurement was performed using the currently proposed VBLR programme with AP-7700 perimetry (KOWA). VF measurements were also conducted using the Swedish interactive thresholding algorithm (SITA) standard programme with Humphrey field analyser. VF measurements were performed using the 24–2 test grid. Visual sensitivities, test–retest reproducibility and measurement duration were compared between the two algorithms.ResultMean mean deviation (MD) values with SITA standard were −7.9 and −8.7 dB (first and second measurements), whereas those with VBLR-VF were −8.2 and −8.0 dB, respectively. There were no significant differences across these values. The correlation coefficient of MD values between the 2 algorithms was 0.97 or 0.98. Test–retest reproducibility did not differ between the two algorithms. Mean measurement duration with SITA standard was 6 min and 02 s or 6 min and 00 s (first or second measurement), whereas a significantly shorter duration was associated with VBLR-VF (5 min and 23 s or 5 min and 30 s).ConclusionVBLR-VF reduced test duration while maintaining the same accuracy as the SITA-standard.

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Influence of automated visual field testing on intraocular pressure

10.21203/rs.3.rs-21287/v1 ◽

2020 ◽

Author(s):

Samuel Bertaud ◽

Elisabeth Skarbek Borowski ◽

Rachid Abbas ◽

Christophe Baudouin ◽

Antoine Labbé

Keyword(s):

Intraocular Pressure ◽

Visual Field ◽

Open Angle Glaucoma ◽

Corneal Thickness ◽

Angle Closure ◽

Mean Deviation ◽

Test Duration ◽

Automated Perimetry ◽

Significant Difference ◽

The Impact

Abstract Background To evaluate the influence of automated visual field (VF) testing on intraocular pressure (IOP) in patients with ocular hypertension (OHT) or glaucoma. Methods We conducted a prospective observational study from October 2015 to July 2016 at Quinze-Vingts National Ophthalmology Hospital in Paris. Ninety-five right eyes of 95 patients followed for glaucoma or OHT with reliable standard automated perimetry (SAP) were included. IOP was measured three times using a Nidek NT-510 non-contact tonometer within a maximum of 5 minutes before and after VF testing. Subanalyses using logistic regression analysis were performed to evaluate the impact of gender, age, central corneal thickness (CCT), mean deviation (MD) of the VF, VF test duration and filtration surgery on IOP fluctuations. Results There was no significant change in IOP after VF testing, with IOP’s 15.14 ± 4.00 mmHg before and 14.98 ± 3.33 mmHg after the VF (P = 0.4). The average change in IOP was 0.15 ± 1.82 mmHg. Using multivariate analysis, no effect of the VF test on IOP was found (global model fit R²=0.12), whether based on duration of the VF test (P = 0.18) or the MD (P = 0.7) after adjustment for age, gender, CCT and history of glaucoma surgery. Similarly, there was no significant difference within different types of glaucoma, including open-angle glaucoma (p = 0.36), chronic angle closure glaucoma (P = 0.85) and OHT (P = 0.42). The subgroup of patients with an IOP elevation > 2 mmHg had a significantly higher SAP test duration (P = 0.002). Conclusion VF testing by SAP does not influence IOP as measured with a non-contact tonometer.

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Changes in Peripapillary and Macular Vessel Densities and Their Relationship with Visual Field Progression after Trabeculectomy

Journal of Clinical Medicine ◽

10.3390/jcm10245862 ◽

2021 ◽

Vol 10 (24) ◽

pp. 5862

Author(s):

Jooyoung Yoon ◽

Kyung Rim Sung ◽

Joong Won Shin

Keyword(s):

Visual Field ◽

Linear Regression ◽

Open Angle Glaucoma ◽

Linear Regression Analysis ◽

Reduction Rate ◽

Vessel Density ◽

Mean Deviation ◽

Factors Associated ◽

Significant Difference

The aim of this study was to determine the factors associated with visual field (VF) deterioration after trabeculectomy, including the peripapillary vessel density (pVD) and macular vessel density (mVD) changes assessed by optical coherence tomography angiography (OCT-A). Primary open-angle glaucoma patients with more than two years of follow-up after trabeculectomy were included. pVD was calculated in a region defined as a 750 μm-wide elliptical annulus extending from the optic disc boundary. mVD was calculated in the parafoveal (1–3 mm) and perifoveal (3–6 mm) regions. VF deterioration was defined as the rate of mean deviation (MD) worse than −1.5 dB/year. The change rates of pVD and mVD were compared between the deteriorated VF and non-deteriorated VF groups. The factors associated with the rate of MD were determined by linear regression analyses. VF deterioration was noted in 14 (21.5%) of the 65 eyes that underwent trabeculectomy. The pVD (−2.26 ± 2.67 vs. −0.02 ± 1.74%/year, p ≤ 0.001) reduction rate was significantly greater in the deteriorated VF group than in the non-deteriorated VF group, while that of parafoveal (p = 0.267) and perifoveal (p = 0.350) VD did not show a significant difference. The linear regression analysis showed that the postoperative MD reduction rate was significantly associated with the rate of pVD reduction (p = 0.016), while other clinical parameters and preoperative vascular parameters did not show any association. Eyes with greater loss of peripapillary retinal circulation after trabeculectomy tended to exhibit VF deterioration. The assessment of peripapillary vascular status can be an adjunctive strategy to predict visual function after trabeculectomy.

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Influence of automated visual field testing on intraocular pressure

10.21203/rs.3.rs-21287/v3 ◽

2020 ◽

Author(s):

S Bertaud ◽

E Skarbek Borowski ◽

R Abbas ◽

C Baudouin ◽

A Labbé

Keyword(s):

Intraocular Pressure ◽

Visual Field ◽

Open Angle Glaucoma ◽

Corneal Thickness ◽

Glaucoma Surgery ◽

Angle Closure ◽

Mean Deviation ◽

Test Duration ◽

Significant Difference ◽

The Impact

Abstract Background: To evaluate the influence of automated visual field (VF) testing on intraocular pressure (IOP) in patients with ocular hypertension (OHT) or glaucoma.Methods: We conducted a prospective observational study in the glaucoma department at Quinze-Vingts National Ophthalmology Hospital in Paris. Ninety-five right eyes of 95 patients followed for glaucoma or OHT were included. IOP was measured three times using a Nidek NT-510 non-contact tonometer within a maximum of 5 minutes before and after VF testing. Sub analyses using logistic regression analysis were performed to evaluate the impact of gender, age, central corneal thickness (CCT), mean deviation (MD) of the VF, VF test duration and filtration surgery on IOP fluctuations.Results: There was no significant change in IOP after VF testing, with IOP’s 15.14 ± 4.00 mmHg before and 14.98 ± 3.33 mmHg after the VF (P = 0.4). The average change in IOP was 0.15 ± 1.82 mmHg. Using multivariate analysis, no effect of the VF test on IOP was found (global model fit R²=0.12), whether based on duration of the VF test (P=0.18) or the MD (P=0.7) after adjustment for age, gender, CCT and history of glaucoma surgery. Similarly, there was no significant difference within different types of glaucoma, including open-angle glaucoma (P=0.36), chronic angle closure glaucoma (P=0.85) and OHT (P=0.42). The subgroup of patients with an IOP elevation ≥ 2mmHg had a significantly higher VF test duration (P=0.002).Conclusion: VF testing does not influence IOP as measured with a non-contact tonometer.

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Influence of automated visual field testing on intraocular pressure

BMC Ophthalmology ◽

10.1186/s12886-020-01622-7 ◽

2020 ◽

Vol 20 (1) ◽

Author(s):

Samuel Bertaud ◽

Elisabeth Skarbek Borowski ◽

Rachid Abbas ◽

Christophe Baudouin ◽

Antoine Labbé

Keyword(s):

Intraocular Pressure ◽

Visual Field ◽

Open Angle Glaucoma ◽

Corneal Thickness ◽

Glaucoma Surgery ◽

Angle Closure ◽

Mean Deviation ◽

Test Duration ◽

Significant Difference ◽

The Impact

Abstract Background To evaluate the influence of automated visual field (VF) testing on intraocular pressure (IOP) in patients with ocular hypertension (OHT) or glaucoma. Methods We conducted a prospective observational study in the glaucoma department at Quinze-Vingts National Ophthalmology Hospital in Paris. Ninety-five right eyes of 95 patients followed for glaucoma or OHT were included. IOP was measured three times using a Nidek NT-510 non-contact tonometer within a maximum of 5 min before and after VF testing. Sub analyses using logistic regression analysis were performed to evaluate the impact of gender, age, central corneal thickness (CCT), mean deviation (MD) of the VF, VF test duration and filtration surgery on IOP fluctuations. Results There was no significant change in IOP after VF testing, with IOP’s 15.14 ± 4.00 mmHg before and 14.98 ± 3.33 mmHg after the VF (P = 0.4). The average change in IOP was 0.15 ± 1.82 mmHg. Using multivariate analysis, no effect of the VF test on IOP was found (global model fit R2 = 0.12), whether based on duration of the VF test (P = 0.18) or the MD (P = 0.7) after adjustment for age, gender, CCT and history of glaucoma surgery. Similarly, there was no significant difference within different types of glaucoma, including open-angle glaucoma (P = 0.36), chronic angle closure glaucoma (P = 0.85) and OHT (P = 0.42). The subgroup of patients with an IOP elevation ≥2 mmHg had a significantly higher VF test duration (P = 0.002). Conclusion VF testing does not influence IOP as measured with a non-contact tonometer.

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Influence of automated visual field testing on intraocular pressure

10.21203/rs.3.rs-21287/v2 ◽

2020 ◽

Author(s):

S Bertaud ◽

E Skarbek Borowski ◽

R Abbas ◽

C Baudouin ◽

A Labbé

Keyword(s):

Intraocular Pressure ◽

Visual Field ◽

Open Angle Glaucoma ◽

Corneal Thickness ◽

Glaucoma Surgery ◽

Angle Closure ◽

Mean Deviation ◽

Test Duration ◽

Significant Difference ◽

The Impact

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Comparison of Latanoprost/Timolol with Carbonic Anhydrase Inhibitor and Dorzolamide/Timolol with Prostaglandin Analog in the Treatment of Glaucoma

Journal of Ophthalmology ◽

10.1155/2014/975429 ◽

2014 ◽

Vol 2014 ◽

pp. 1-5 ◽

Cited By ~ 4

Author(s):

Kenji Inoue ◽

Shoichi Soeda ◽

Goji Tomita

Keyword(s):

Visual Field ◽

Fixed Combination ◽

Open Angle Glaucoma ◽

Field Testing ◽

Mean Deviation ◽

Single Action ◽

Before And After ◽

Group 2 ◽

Concomitant Medications ◽

Medication Changes

Purpose.We retrospectively reviewed medical records of glaucoma patients to investigate how switching medications may affect intraocular pressure (IOP) management. Three concomitant medications were changed to two medications: one combination drop and one single-action drop. Associated adverse effects were also examined.Subjects and Methods.A total of 112 patients with primary open-angle glaucoma or ocular hypertension were examined. All patients were concomitantly using a prostaglandin (PG) analog, aβ-blocker, and a carbonic anhydrate inhibitor (CAI). Fifty-five patients began using latanoprost (PG analog)/timolol (β-blocker) fixed-combination (LTFC) drops and a CAI (group 1), and 57 patients began using dorzolamide (CAI)/timolol fixed-combination (DTFC) drops and a PG analog (group 2). The IOP was measured every 6 months for 2 years following medication changes. Changes in visual field mean deviation (MD) and medication discontinuations were also examined.Results.There were no significant differences in IOP or MD values before and after medication changes in either group. The proportion of medication discontinuations, uncontrolled IOP, and adverse reactions was similar in both groups.Conclusion.Switching patients from multiple single-action medications to combination medications was not associated with changes in IOP, visual field testing results, or adverse event frequency.

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A New Approach to Measure Visual Field Progression in Glaucoma Patients Using Variational Bayes Linear Regression

Investigative Ophthalmology & Visual Science ◽

10.1167/iovs.14-14625 ◽

2014 ◽

Vol 55 (12) ◽

pp. 8386-8392 ◽

Cited By ~ 18

Author(s):

H. Murata ◽

M. Araie ◽

R. Asaoka

Keyword(s):

Visual Field ◽

Linear Regression ◽

Variational Bayes ◽

New Approach ◽

Visual Field Progression

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Role of Central Corneal Thickness on Baseline Parameters and Progression of Visual Fields in Open Angle Glaucoma

European Journal of Ophthalmology ◽

10.1177/112067210701700411 ◽

2007 ◽

Vol 17 (4) ◽

pp. 545-549 ◽

Cited By ~ 14

Author(s):

H. Shah ◽

C. Kniestedt ◽

A. Bostrom ◽

R. Stamper ◽

S. Lin

Keyword(s):

Visual Field ◽

Central Corneal Thickness ◽

Open Angle Glaucoma ◽

Corneal Thickness ◽

Visual Fields ◽

Negative Relationship ◽

Significant Risk ◽

Mean Deviation ◽

Open Angle ◽

Visual Field Progression

Purpose To evaluate the relationship of central corneal thickness (CCT) to baseline visual field parameters and visual field progression in patients with primary open-angle glaucoma (POAG). Methods Charts of consecutive patients with POAG were reviewed to obtain visual field data. Visual field was measured by standard threshold static perimetry. Variables analyzed included mean deviation (MD) and pattern standard deviation (PSD). Results A total of 121 eyes examined over 4 years were evaluated. A significant negative relationship between CCT and PSD (correlation coefficient: −0.02, p<0.05) was found. Analyses comparing CCT to change in PSD and MD (visual field progression) were statistically not significant. Conclusions Patients with thinner corneas initially present with a greater visual field defect, indicating that thin corneas may contribute to advanced glaucomatous damage at the time of diagnosis. However, CCT does not seem to be a significant risk factor for progression of the disease.

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Classification and Statistical Trend Analysis in Detecting Glaucomatous Visual Field Progression

Journal of Ophthalmology ◽

10.1155/2019/1583260 ◽

2019 ◽

Vol 2019 ◽

pp. 1-5

Author(s):

Cristiana Valente ◽

Elisa D’Alessandro ◽

Michele Iester

Keyword(s):

Statistical Analysis ◽

Standard Deviation ◽

Visual Field ◽

Trend Analysis ◽

Open Angle Glaucoma ◽

Mean Deviation ◽

Threshold Strategy ◽

Visual Field Progression ◽

The Mean

Aim. To evaluate the agreement between different methods in detection of glaucomatous visual field progression using two classification-based methods and four statistical approaches based on trend analysis. Methods. This is a retrospective and longitudinal study. Twenty Caucasian patients (mean age 73.8 ± 13.43 years) with open-angle glaucoma were recruited in the study. Each visual field was assessed by Humphrey Field Analyzer, program SITA standard 30-2 or 24-2 (Carl Zeiss Meditec, Inc., Dublin, CA). Full threshold strategy was also accepted for baseline tests. Progression was analyzed by using Hodapp–Parrish–Anderson classification and the Advanced Glaucoma Intervention Study visual field defect score. For the statistical analysis, linear regression (r2) was calculated for mean deviation (MD), pattern standard deviation (PSD), and visual field index (VFI), and when it was significant, each series of visual field was considered progressive. We also used Progressor to look for a significant progression of each visual field series. The agreement between methods, based on statistical analysis and classification, was evaluated using a weighted kappa statistic. Results. Thirty-eight visual field series were analyzed. The mean follow-up time was 6.2 ± 1.53 years (mean ± standard deviation). At baseline, the mean MD was −7.34 ± 7.18 dB; at the end of the follow-up, the mean MD was −9.25 ± 8.65 dB; this difference was statistically significant (p<0.001). The agreement to detect progression was fair between all methods based on statistical analysis and classification except for PSD r2. A substantial agreement (κ = 0.698 ± 0.126) was found between MD r2 and VFI r2. With the use of all the statistical analysis, there was a better time-saving. Conclusions. The best agreement to detect progression was found between MD r2 and VFI r2. VFI r2 showed the best agreement with all the other methods. GPA2 can help ophthalmologists to detect glaucoma progression and to help in treatment decisions. PSD r2 was the worse method to detect progression.

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