June 2022
Volume 63, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2022
Phenotypic Characteristics as a Diagnostic Tool for Albinism: Sensitivity and Specificity Analysis
Author Affiliations & Notes
  • Abdullah Aamir
    University of Leicester, Leicester, Leicestershire, United Kingdom
  • Helen Kuht
    University of Leicester, Leicester, Leicestershire, United Kingdom
  • Jinu Han
    Gangnam Severance Hospital Department of Ophthalmology, Gangnam-gu, Seoul, Korea (the Republic of)
  • Mies M. van Genderen
    Bartimeus, Zeist, Utrecht, Netherlands
  • Gail Maconachie
    University of Leicester, Leicester, Leicestershire, United Kingdom
  • Rebecca McLean
    University of Leicester, Leicester, Leicestershire, United Kingdom
  • Zhanhan Tu
    University of Leicester, Leicester, Leicestershire, United Kingdom
  • Viral Sheth
    University of Leicester, Leicester, Leicestershire, United Kingdom
  • Richard W Hertle
    Akron Children's Hospital, Akron, Ohio, United States
  • Line Kessel
    Rigshospitalet, Kobenhavn, Denmark
  • Brian Brooks
    National Eye Institute, Bethesda, Maryland, United States
  • Frank A Proudlock
    University of Leicester, Leicester, Leicestershire, United Kingdom
  • Irene Gottlob
    University of Leicester, Leicester, Leicestershire, United Kingdom
  • Mervyn George Thomas
    University of Leicester, Leicester, Leicestershire, United Kingdom
  • Footnotes
    Commercial Relationships   Abdullah Aamir None; Helen Kuht None; Jinu Han None; Mies van Genderen None; Gail Maconachie None; Rebecca McLean None; Zhanhan Tu None; Viral Sheth None; Richard Hertle None; Line Kessel None; Brian Brooks None; Frank Proudlock None; Irene Gottlob None; Mervyn Thomas None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2022, Vol.63, 1840. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Abdullah Aamir, Helen Kuht, Jinu Han, Mies M. van Genderen, Gail Maconachie, Rebecca McLean, Zhanhan Tu, Viral Sheth, Richard W Hertle, Line Kessel, Brian Brooks, Frank A Proudlock, Irene Gottlob, Mervyn George Thomas; Phenotypic Characteristics as a Diagnostic Tool for Albinism: Sensitivity and Specificity Analysis. Invest. Ophthalmol. Vis. Sci. 2022;63(7):1840.

      Download citation file:


      © ARVO (1962-2015); The Authors (2016-present)

      ×
  • Supplements
Abstract

Purpose : Albinism has significant genetic and phenotypic heterogeneity and can be difficult to distinguish from other causes of infantile nystagmus, particularly in a paediatric setting. Children with albinism are at risk of poor visual development and hence require timely diagnosis. We sought to identify clinical parameters specific to albinism, in order to contribute to the growing need for international consensus guidelines for the diagnosis of this complex condition.

Methods : Patients with nystagmus presenting to a paediatric ophthalmology department were screened in centres including Denmark, Korea, Netherlands, United Kingdom and the United States. Patients were stratified according to diagnosis through genetic confirmation. Ophthalmic examination, foveal hypoplasia (FH) and visual evoked potentials (VEP) were recorded. Receiver operating characteristic curves were plotted to assess the diagnostic ability of clinical parameters. Principal component analysis was used to identify unique-most variables. A binary logistic regression model was used to identify a single combined metric.

Results : 249 patients were included, of which 63% had molecular confirmation of albinism. Other diagnoses included FRMD7 (17%), PAX6 (8%), achromatopsia (8%) and congenital stationary night blindness (4%). Parameters with a positive correlation with albinism included fundus hypopigmentation (AUC=0.91), transillumination defect (TID) (AUC=0.91), FH (AUC=0.82) and VEP misrouting (AUC=0.73). Parameters with weak correlation included stereopsis (AUC=0.64), visual acuity (AUC=0.53) and altered head position (AUC=0.43). Regression modelling identified a single metric incorporating FH, TID and VEP with the highest predictive power (AUC=0.96). Removing VEP from the model revealed an AUC of 0.95.

Conclusions : Combining FH and TID may provide sufficient diagnostic power in suspected albinism and dismiss other causes of congenital nystagmus. VEP misrouting may only provide a marginal improvement in diagnostic ability.

This abstract was presented at the 2022 ARVO Annual Meeting, held in Denver, CO, May 1-4, 2022, and virtually.

×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×