Literature DB >> 23296370

Glaucoma screening using relative afferent pupillary defect.

Resmi A Charalel1, Hugh S Lin, Kuldev Singh.   

Abstract

PURPOSE: To assess the relative afferent pupillary defect (RAPD) by swinging flashlight as a potentially useful screening test for glaucomatous optic neuropathy.
METHODS: One hundred seven subjects prospectively recruited from a mixed population of glaucomatous and nonglaucomatous patients were examined for a RAPD by 1 individual masked with regard to disease presence. All subjects underwent a swinging flashlight test with, when necessary, the aid of neutral density filters, to determine whether or not a RAPD was present. A determination of glaucoma diagnosis, as well as classification of disease stage, was subsequently assessed based upon review of history and ophthalmic examination. This clinical information regarding glaucomatous disease was ascertained without knowledge of study RAPD status. The acquisition of such clinical information and performance of swinging flashlight testing for RAPD was conducted by different individuals with the latter being a nonophthalmologist.
RESULTS: Statistical analysis demonstrated an odds ratio of 9.71 (95% CI, 3.72-25.40) for glaucomatous disease if a RAPD was present, with a sensitivity of 66.7% and a specificity of 82.9%. Subanalysis of patients who had not previously undergone cataract surgery revealed an odds ratio of 17.05 (95% CI, 4.73-61.44) for glaucomatous disease if a RAPD was present, with a sensitivity of 68.8% and a specificity of 88.6%.
CONCLUSIONS: RAPD screening by a swinging flashlight test with neutral density filters was moderately sensitive and strongly specific for glaucoma. Sensitivity, specificity, and predictive value improved when patients who had previously undergone cataract surgery were removed from the analysis.

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Mesh:

Year:  2014        PMID: 23296370     DOI: 10.1097/IJG.0b013e31826a9742

Source DB:  PubMed          Journal:  J Glaucoma        ISSN: 1057-0829            Impact factor:   2.503


  8 in total

1.  Detecting glaucoma using automated pupillography.

Authors:  Andrew J Tatham; Daniel Meira-Freitas; Robert N Weinreb; Linda M Zangwill; Felipe A Medeiros
Journal:  Ophthalmology       Date:  2014-01-30       Impact factor: 12.079

2.  Detection of asymmetric glaucomatous damage using automated pupillography, the swinging flashlight method and the magnified-assisted swinging flashlight method.

Authors:  M Waisbourd; B Lee; M H Ali; L Lu; P Martinez; B Faria; A Williams; M R Moster; L J Katz; G L Spaeth
Journal:  Eye (Lond)       Date:  2015-06-26       Impact factor: 3.775

3.  Identifying Those at Risk of Glaucoma: A Deep Learning Approach for Optic Disc and Cup Segmentation and Their Boundary Analysis.

Authors:  Jongwoo Kim; Loc Tran; Tunde Peto; Emily Y Chew
Journal:  Diagnostics (Basel)       Date:  2022-04-24

4.  Estimation of retinal ganglion cell loss in glaucomatous eyes with a relative afferent pupillary defect.

Authors:  Andrew J Tatham; Daniel Meira-Freitas; Robert N Weinreb; Amir H Marvasti; Linda M Zangwill; Felipe A Medeiros
Journal:  Invest Ophthalmol Vis Sci       Date:  2014-01-29       Impact factor: 4.799

Review 5.  Macular imaging with optical coherence tomography in glaucoma.

Authors:  Vahid Mohammadzadeh; Nima Fatehi; Adeleh Yarmohammadi; Ji Woong Lee; Farideh Sharifipour; Ramin Daneshvar; Joseph Caprioli; Kouros Nouri-Mahdavi
Journal:  Surv Ophthalmol       Date:  2020-03-19       Impact factor: 6.048

6.  Detecting autonomic dysfunction in patients with glaucoma using dynamic pupillometry.

Authors:  Hae-Young Lopilly Park; Suk Hoon Jung; Sung-Hwan Park; Chan Kee Park
Journal:  Medicine (Baltimore)       Date:  2019-03       Impact factor: 1.817

7.  Adapted motivational interviewing to improve the uptake of treatment for glaucoma in Nigeria: study protocol for a randomized controlled trial.

Authors:  Mohammed M Abdull; Clare Gilbert; Jim McCambridge; Jennifer Evans
Journal:  Trials       Date:  2014-04-29       Impact factor: 2.279

8.  Cross-sectional pupillographic evaluation of relative afferent pupillary defect in age-related macular degeneration.

Authors:  Kei Takayama; Yasuki Ito; Hiroki Kaneko; Yosuke Nagasaka; Taichi Tsunekawa; Tadasu Sugita; Hiroko Terasaki
Journal:  Medicine (Baltimore)       Date:  2016-09       Impact factor: 1.889

  8 in total

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