Psychosocial indicators of primary congenital glaucoma and filtering surgeries impacts on children and family's quality of life.

PURPOSE: To identify psychosocial indicators and evaluate the filtering surgeries impacts on quality of life (QOL) of children with primary congenital glaucoma (PCG) and their family. METHODS: Parents of children with bilateral PCG who underwent filtering surgery were included. Data were collected through: (a) psychological inquiry to determine psychosocial indicators; (b) Children's Visual Function Questionnaire (CVFQ). The associations between the CVFQ scores and visual acuity, intraocular pressure, optic disk cupping, horizontal corneal diameter, axial length, number of surgeries, and hypotensive eye drops were investigated. The statistical significance level was considered as p ⩽ 0.05. RESULTS: The mean age of the nine mothers interviewed and their children (six boys and three girls) was 29 ± 5 years and 35 ± 18 months, respectively. The psychosocial indicators determined were: emotional impact of the diagnosis, disease knowledge, mother and family's feelings on facing the surgical treatment, surgical result comprehension, treatment adherence, child's emotional and behavioral reactions, social support, and future expectations. In CVFQ analysis, QOL score was strongly associated with visual acuity (r = -0.79; p = 0.01). Besides the treatment score was correlated to intraocular pressure (r = -0.68; p < 0.05), optic disk cupping (r = -0.85; p = 0.03), and corneal diameter (r = -0.69; p = 0.02). Correlations were not found for number of surgeries and eye drops. CONCLUSIONS: This study confirmed the PCG surgical treatment impact on QOL and determined psychosocial indicators which may favor the suitable actions in psychological treatment and follow-up of the children and families.

Comparison between provocative test-based and long-term intraocular pressure parameters in patients with stable open-angle glaucoma.

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.

Peak, Fluctuation, or Mean? A Correlation Analysis of Long-term Intraocular Pressure Variation Parameters in Patients with Stable Glaucoma.

AIM: To perform a correlation analysis between long-term intraocular pressure (IOP) variation parameters (mean, peak, and fluctuation) in patients with stable open-angle glaucoma (OAG). MATERIALS AND METHODS: A cross-sectional observational study was carried out, in which patients with stable OAG were consecutively enrolled. All patients had to have glaucomatous optic neuropathy and characteristic visual field (VF) defects. Key inclusion criteria were ≥5 VF tests, ≥3 disc photographs, and ≥3 years of follow-up without any changes in current medical regimen. Stable OAG was defined as nonprogressive VF results and absence of anatomical changes for at least 3 years. Long-term IOP variation parameters were obtained from isolated IOP measurements from each visit (minimum of five IOP measurements). The main outcome measure was the correlation between these IOP variation parameters. RESULTS: Of the 63 patients studied, 37 (59%) were women, and the mean age was 61 ± 12 years. Among all the analyses, IOP mean and peak had the strongest correlation (r = 0.94; 95% CI = 0.92-0.97; p < 0.001). There were also significant correlations between IOP peak and IOP fluctuation (r = 0.84; 95% CI = 0.75-0.90; p < 0.001), and mean IOP and IOP fluctuation (r = 0.62; 95% CI = 0.43-0.75; p < 0.001). CONCLUSION: Most long-term IOP variation parameters evaluated seem to be highly correlated. Notably, the correlation between mean IOP and IOP peak was the strongest one. We believe this fact should be taken into consideration as their inclusion as individual variables in a multiple regression model could lead to misinterpretation of the data. CLINICAL SIGNIFICANCE: Different well-designed studies are conflicting regarding which long-term IOP variation parameter is more clinically relevant. Our findings suggest that collinearity issues could explain in part the discrepant results among these studies evaluating the relationship between long-term IOP variation parameters and glaucoma prognosis. HOW TO CITE THIS ARTICLE: Scoralick ALB, Gracitelli CPB, et al. Peak, Fluctuation, or Mean? A Correlation Analysis of Long-term Intraocular Pressure Variation Parameters in Patients with Stable Glaucoma. J Curr Glaucoma Pract 2019;13(1):28-31.

Macular Inner Retinal Layer Thinning in Diabetic Patients without Retinopathy Measured by Spectral Domain Optical Coherence Tomography.

The aim of this study was to use Spectral Domain-Optical Coherence Tomography (SD-OCT) to measure the thickness of the Macular Inner Retinal Layer (MIRL) and compare the results between diabetic patients with no signs of retinopathy and healthy subjects. Overall, 47 type 2 diabetic patients without clinical signs of retinopathy were prospectively analyzed along with 36 healthy subjects. This study excluded patients with other systemic or ocular diseases. All patients had their MIRL thickness measured by RTVue-100 SD-OCT (7x7 mm macular grid). The MIRL thickness is provided by the ganglion cell complex scan (comprised of the retinal nerve fiber, ganglion cell, and inner plexiform layers). Only one eye was randomly selected if both were eligible for analysis. Mean age was similar between the two groups (diabetic patients: 57.3 ± 10.6 and control subjects: 60.2 ± 12.2 years) (P = 0.19). No significant differences regarding optic disc area and cup-to-disc ratio was observed in the comparison of the two groups (P ≥ 0.38 for both comparisons). In patients with diabetes, the average MIRL was significantly thinner when compared to controls (91.6 versus 96.2 micrometer (µm); P = 0.02). Regional analysis revealed superior and inferior MIRL to be significantly thinner in patients with diabetes than the controls (P ≤ 0.04). The juxtafoveal area was compromised (thinned) in 70% of diabetic eyes, classified as abnormal (P < 1%; compared to the device's normative database). In conclusion, patients with type 2 diabetes without clinical evidence of retinopathy had lower MIRL average values when compared to the control group. This can be explained by the ischemia and retinal tissue injury caused by diabetes even in early stages of diabetic retinopathy, which can affect MIRL thickness. Possible implications of these findings on diagnosis and treatment of diabetic retinopathy requires further investigation.