Analysis of retinal nerve fiber layer thickness between HIV-seronegative and HIV-seropositive patients, adjusted for gender.

<p>*Applying Generalized Estimating Equations (GEE); RNFL, retinal nerve fiber layer thickness; SE, standard error.</p

Analysis of visual acuity scores between HIV-seronegative and HIV-seropositive patients, adjusted for gender.

<p>*Applying Generalized Estimating Equations (GEE); BCVA, best corrected visual acuity; SE, standard error; ETDRS, Early Treatment Diabetic Retinopathy Study; M1, full-contrast module of white letters presented on a black background; M2, 64% contrast module simulating an environment similar to a dimly lit restaurant; M3, 43% contrast module simulating an environment similar to driving at dusk; G1, full-contrast module of black letters presented on a bright background; G2, 10% contrast module simulating an environment similar to playing a sport outside with the sun over head; G3, 8% contrast module simulating an environment similar to playing a sport outside with the sun 15 degrees off-axis.</p

Regression analyses of HIV status (seronegative vs seropositive) and retinal nerve fiber layers thickness with visual acuity, adjusted for gender.

<p>*Applying Generalized Estimating Equations (GEE); BCVA, best corrected visual acuity; RNFL, retinal nerve fiber layer; ETDRS, Early Treatment Diabetic Retinopathy Study; M1, full-contrast module of white letters presented on a black background; M2, 64% contrast module simulating an environment similar to a dimly lit restaurant; M3, 43% contrast module simulating an environment similar to driving at dusk; G1, full-contrast module of black letters presented on a bright background.</p

Characteristics of each of the CVA modules tested.

<p>CVA, Central Vision Analyzer; MC, Michelson Contrast; Cd/m², Candelas per Meter Squared.</p

Demographics of Study Participants.

<p>Y, years; n/a, not applicable;</p><p>*CD4+ T-cell counts lower than 200 cells/mm3 for at least 6 months in their medical history;</p><p>T = Independent samples t-test;</p><p>C = Chi-square test.</p