Paranhos, Augusto

Précis: Glaucoma patients of similar age and educational level, compared with healthy individuals, exhibit a greater number of saccades and fixations during eye-tracking-aloud reading, resulting in reduced reading speed. Purpose: To evaluate reading performance in patients with glaucoma compared with controls using an eye tracker and to explore the potential confounding effects of patients’ contrast sensitivity and cognition. Materials and Methods: A cross-sectional study was conducted with 111 participants (57 with glaucoma and 54 controls) with a best-corrected visual acuity of ≥0.5 logMAR. Cognition was assessed using the Montreal Cognitive Assessment, and contrast sensitivity was measured with the Freiburg Visual Acuity and Contrast Test. A reading performance evaluation was conducted using the Minnesota Low Vision Reading Test displayed on slides on a computer screen. Reading speed was calculated in words per minute, and an eye tracker was used to analyze saccade and fixation patterns during the reading task. Results: Mean age was 61.8 (±11.6) and 66.5 (±13.7) in the glaucoma and control groups, respectively ( P =0.05). Best-corrected visual acuity was 0.18 (±0.16) and 0.04 (±0.10) logMAR in the glaucoma and control groups, respectively ( P <0.001). Montreal Cognitive Assessment score was 21.8 (±3.5) in the glaucoma and 21.4 (±4.0) in the control group ( P =0.566). A total of 26% of the glaucoma group and 33% of the control group had at least a primary education. Controls read faster and showed fewer saccades and fixations than patients with glaucoma ( P <0.05) across all 5 slides. Conclusions: Patients with glaucoma exhibit poorer reading performance, as evidenced by eye-tracking data, compared with controls of similar age, cognitive function, and educational level.

Précis: Automated optic nerve head hemoglobin measurements through change over time in the Globin Individual Pointer (GIP) index, provided by the Laguna ONhE software, can be useful to evaluate structural progression in glaucoma. Purpose: To assess the performance of automated optic nerve head hemoglobin measurements (ONH Hb) for detection of structural progression in glaucoma patients using event analysis. Patients and Methods: Treated glaucoma patients were included in this cross-sectional study. Two experienced examiners classified patients into progressors and non-progressors (controls) based on serial color retinographies (CR). Progressors were then subdivided in structural changes of the neuroretinal rim (NR) or retinal nerve fiber layer (RNFL). Globin individual pointer (GIP) index, derived from ONH Hb measurements, was calculated for each CR using the Laguna ONhE software. Differences in GIP values, ​​between baseline and last visit CRs, were used to assess structural progression. Sensitivity at a fixed specificity (50%; median GIP difference in controls) and areas under receiver operating characteristic curves (AUROC) were calculated. Results: Eight-seven eyes (35 progressors and 52 controls) from 64 patients were enrolled. Mean GIP reduction over time was greater in progressors (−13.0±18.6) than controls (−2.9±10.4; P=0.001). In progressors, mean GIP reduction was greater in patients with NR changes (−19.6±19.5) than RNFL changes (−3.1±12.1; P=0.008). GIP difference correctly identified 69% of the progressors (AUROC: 0.66), being 76% of these progressions related to NR changes (AUROC: 0.76) and 57% to RNFL changes (AUROC: 0.52). Conclusions: The GIP index, based on automated ONH Hb measurements demonstrated good sensitivity to differentiate progressors from controls, especially in cases in which progression was documented through structural NR changes. Using only 2 CRs and event analysis, GIP changes over time can be a useful screening tool to evaluate structural progression.

Abstract Purpose: To compare vascular parameters, assessed by endothelin-1 (ET-1) blood levels, Laser Doppler Imaging (LDI) of distal phalanx, and nailfold capillaroscopy (NC), between open-angle glaucoma (OAG) patients with low (LTDH) and high-tension optic disc hemorrhages (HTDH). Methods: In this prospective study, patients were classified as LTDH if presenting an IOP<16 mmHg and HTDH if an IOP³16 mmHg at the time of DH detection. Demographic and ophthalmological data, ET-1 concentration, LDI (before and after 1, 10 and 20 minutes after cold stimulation) and NC findings were evaluated. Results: Thirty-tree patients were included (mean age, 62.3±13 years). Regarding ET-1 blood level, it was 65% higher in the LTDH group (2.27±1.46 pg/ml) compared to the HTDH (1.37±0.57 pg/ml; p=0.03). In addition, there was a significant negative correlation between ET-1 blood concentration and IOP at the time of DH detection (r=-0.45; p=0.02). Blood flow measurement in LTDH patients were lower than those observed in patients with HTDH 10 and 20 minutes after cold stimulus (p<0.01). Conclusion: Patients developing DH with lower IOPs have higher ET-1 blood levels and more peripheral vascular dysfunction (than those with higher IOPs), as estimated by LDI. These findings suggest that distinct underling mechanisms maybe involved in patients developing DH with different IOP ranges.

Precis: Although this sample with glaucoma had preserved central vision, they presented worse reading performance compared with similarly aged controls. Objective: To determine whether patients with glaucoma with preserved central vision have impaired reading performance compared with healthy controls. Methods: A cross-sectional study of 35 patients with glaucoma and 32 similarly aged controls with visual acuity better than 0.4 logMAR in both eyes. Each participant had a detailed ophthalmological examination followed by a 5-chart reading performance test using a Portuguese version of the Minnesota Low Vision Reading Test (MNREAD). Correlation between reading performance (reading speed) and ocular parameters was investigated. Results: Participants had an average age of 63.0±12.6 years. In the glaucoma group, mean deviation in the better and worse eyes was −6.29±6.36 and −11.08±0.23 dB, respectively. There was no significant difference in age, sex, rage, education, visual acuity, or systemic comorbidities between groups. Participants with glaucoma had significantly slower reading speeds, with an average of 83.2±25.12 compared with 102.29±29.57 words per minute in controls (P=0.006). Reading speed was slower for all 5 charts. Odds of glaucoma increased by 1.29 (95% confidence interval, 1.07-1.56; P=0.009) for each 10 words per minute decrease in average reading speed, with this relationship maintained after accounting for age, schooling, and visual acuity. Conclusions: Patients with mild to moderate glaucoma had worse reading performance compared with similarly aged controls, despite both having preserved central vision.

Purpose: To compare provocative test-based and long-term intraocular pressure variation parameters in patients with stable open-angle glaucoma. Methods: A prospective observational study was carried out in which stable open-angle glaucoma patients (⩾3 years of follow-up without any changes on current medical regimen) were consecutively enrolled. All patients were submitted to a water-drinking test. Long-term intraocular pressure parameters were obtained from isolated intraocular pressure measurements from each visit (⩾5 visits). We investigated the correlation and agreement between the following water-drinking test and long-term intraocular pressure parameters: mean, peak, and fluctuation. In addition, the percentage of eyes with significant intraocular pressure peaks during the water-drinking test (defined as a difference ⩾25% between water-drinking test intraocular pressure peak and mean long-term intraocular pressure) was assessed. Results: Sixty-three eyes from 63 open-angle glaucoma patients (mean age, 60.7 ± 11.8 years) were included. Mean and water-drinking test intraocular pressure peak correlated significantly with mean ( r = 0.67) and maximum long-term intraocular pressure ( r = 0.52), respectively ( p < 0.01). The correlation between water-drinking test intraocular pressure fluctuation and long-term intraocular pressure fluctuation was not significant ( p = 0.45). Limits of agreement from Bland–Altman plots exceeded the maximum allowed difference between methods (3 mm Hg) for all the intraocular pressure parameters analyzed, suggesting poor agreement between water-drinking test–derived and long-term intraocular pressure values. Overall, significant water-drinking test intraocular pressure peaks were observed in 39.7% of these eyes with stable open-angle glaucoma. Conclusion: Although some water-drinking test–based and long-term intraocular pressure parameters correlate significantly, water-drinking test results may not reflect the long-term intraocular pressure profile of stable open-angle glaucoma patients, as their agreement is poor. Many of these patients may experience significant water-drinking test intraocular pressure peaks, despite long-standing stable disease and unchanged medical regimen.