Glaucoma Patients' Trust in the Physician

Objectives. To describe glaucoma patients' trust in the physician and to test the hypothesis that increased interpersonal trust is associated with increased medication adherence. Methods. One hundred ninety-five subjects with open-angle glaucoma seen by multiple glaucoma subspecialists participated in a cross-sectional patient survey and concomitant chart review which included a test of health literacy and the Trust in Physician Scale (TPS), a scale from 1–100, with 100 indicating greatest trust. Charts were reviewed for visual acuity and visual field results. Subjects' pharmacies were contacted to ascertain medication refill rates over the preceding six months. Results. TPS scores ranged from 57.5 to 100, 78.7 ± 8.4 (mean ± SD,) median 75.0. When age, race, gender, baseline visual acuity and visual field status, education level, and literacy status were considered, only race was associated with TPS. Caucasians expressed slightly higher levels of trust (n = 108; TPS 80.1 ± 8.2) than non-Caucasians, (n = 87 (82 Africans Americans); TPS 77.1 ± 8.4; P = .012). TPS score was not associated with refill rates (P = .190). Conclusions. Trust in physician is generally high in this group of glaucoma patients but varies slightly by race. Trust in physician was not associated with glaucoma medication adherence in this tertiary care population

Predictive models of choroidal neovascularization and geographic atrophy incidence applied to clinical trial design.

PURPOSE: To develop comprehensive predictive models for choroidal neovascularization (CNV) and geographic atrophy (GA) incidence within 3 years that can be applied realistically to clinical practice. DESIGN: Retrospective evaluation of data from a longitudinal study to develop and validate predictive models of CNV and GA. METHODS: The predictive performance of clinical, environmental, demographic, and genetic risk factors was explored in regression models, using data from both eyes of 2011 subjects from the Age-Related Eye Disease Study (AREDS). The performance of predictive models was compared using 10-fold cross-validated receiver operating characteristic curves in the training data, followed by comparisons in an independent validation dataset (1410 AREDS subjects). Bayesian trial simulations were used to compare the usefulness of predictive models to screen patients for inclusion in prevention clinical trials. RESULTS: Logistic regression models that included clinical, demographic, and environmental factors had better predictive performance for 3-year CNV and GA incidence (area under the receiver operating characteristic curve of 0.87 and 0.89, respectively), compared with simple clinical criteria (AREDS simplified severity scale). Although genetic markers were associated significantly with 3-year CNV (CFH: Y402H; ARMS2: A69S) and GA incidence (CFH: Y402H), the inclusion of genetic factors in the models provided only marginal improvements in predictive performance. CONCLUSIONS: The logistic regression models combine good predictive performance with greater flexibility to optimize clinical trial design compared with simple clinical models (AREDS simplified severity scale). The benefit of including genetic factors to screen patients for recruitment to CNV prevention studies is marginal and is dependent on individual clinical trial economics

Evaluation of inner retinal layers as biomarkers in mild cognitive impairment to moderate Alzheimer’s disease

<div><p>Inner retina in Alzheimer's Disease (AD) may experience neuroinflammation resulting in atrophy. The objective of our study was to determine whether retinal GCIPL (ganglion cell-inner plexiform layer) or nerve fiber layer (NFL) thickness may serve as noninvasive biomarkers to diagnose AD. This cross-sectional case-control study enrolled 15 mild cognitive impairment (MCI) patients, 15 mild-moderate AD patients, and 18 cognitively normal adults. NFL and GCIPL thicknesses on optical coherence tomography (OCT) were measured using Duke Optical Coherence Tomography Retinal Analysis Program (DOCTRAP) and Spectralis software. We demonstrated that regional thicknesses of NFL or GCIPL on macular or nerve OCTs did not differ between groups. However, a multi-variate regression analysis identified macular areas with a significant thickening or thinning in NFL and GCIPL in MCI and AD patients. Our primary findings controvert previous reports of thinner NFL in moderate-to-severe AD. The areas of thickening of GCIPL and NFL in the macula adjacent to areas of thinning, as revealed by a more complex statistical model, suggest that NFL and GCIPL may undergo dynamic changes during AD progression.</p></div

NFL thicknesses obtained using the automated Heidelberg software in various regions surrounding the optic nerve.

<p>NFL thicknesses obtained using the automated Heidelberg software in various regions surrounding the optic nerve.</p

Results of a multi-variate regression analysis with quasi-least squares, without correction for multiple comparisons.

<p>This analysis identified areas in the macula that were statistically significantly thinner (red) or thicker (green) in NFL and GCIPL in MCI and AD patients as compared to controls, or in AD compared to MCI.</p

Results of the multi-variate regression analysis with quasi-least squares, adjusted for multiple comparisons.

<p>Results of the multi-variate regression analysis with quasi-least squares, adjusted for multiple comparisons.</p

Distribution of MoCA scores among the three study groups.

<p>Distribution of MoCA scores among the three study groups.</p

Global GCIPL and NFL thicknesses obtained using the DOCTRAP software in OCT volume scans of the macula and nerve.

<p>Global GCIPL and NFL thicknesses obtained using the DOCTRAP software in OCT volume scans of the macula and nerve.</p