Diagnostic sensitivity and specificity of dark adaptometry for detection of age-related macular degeneration.

Published

Journal Article

Difficulty with night vision is a common complaint of patients with age-related macular degeneration (AMD). Consistent with this complaint, dark adaptation (DA) is substantially impaired in these patients. Because of the severity of the deficit, measurement of DA has been suggested as a means for the diagnosis of AMD. Previous methods for measurement of DA were time intensive (>30 minutes), which made them unsuitable for clinical use. This study evaluated a rapid DA test (≤ 6.5 minutes) for the detection of AMD.Dark adaptation was measured by using the AdaptDx dark adaptometer in two groups: subjects with normal retinal health and subjects with AMD. Subjects were assigned to their group by clinical examination and grading of fundus photographs. Subjects were classified as having DA consistent with normal retinal health (rod intercept ≤ 6.5 minutes) or having dark adaptation consistent with AMD (rod intercept > 6.5 minutes).The eligible sample for analysis included 21 normal adults and 127 AMD patients. The rapid test was found to have a diagnostic sensitivity of 90.6% (P < 0.001) and specificity of 90.5% (P < 0.027). Thus, abnormal DA was detected in 115 of 127 AMD patients, and normal DA was found in 19 of 21 normal adults.The high diagnostic sensitivity and specificity compared favorably to long-duration research methods for the measurement of DA, and slit lamp biomicroscopy performed by a retina specialist. These results suggest that a rapid DA test is useful for the detection of AMD.

Full Text

Duke Authors

Cited Authors

  • Jackson, GR; Scott, IU; Kim, IK; Quillen, DA; Iannaccone, A; Edwards, JG

Published Date

  • March 10, 2014

Published In

Volume / Issue

  • 55 / 3

Start / End Page

  • 1427 - 1431

PubMed ID

  • 24550363

Pubmed Central ID

  • 24550363

Electronic International Standard Serial Number (EISSN)

  • 1552-5783

International Standard Serial Number (ISSN)

  • 0146-0404

Digital Object Identifier (DOI)

  • 10.1167/iovs.13-13745

Language

  • eng