Novel mobility test to assess functional vision in patients with inherited retinal dystrophies

Academic Article


  • © 2017 Royal Australian and New Zealand College of Ophthalmologists Importance: This novel endpoint tracks functional vision changes in patients with inherited retinal dystrophies (IRDs) over time. Background: The aims of the study were to determine whether a multi-luminance mobility test (MLMT) can detect functional vision changes over time in subjects with IRDs and to assess natural history and potential effects of investigational agents. Design: This is a prospective, observational study. Participants: Sixty-two subjects were enrolled. Sixty (29 normal sighted and 31 visually impaired) were eligible; 54 (28 visually impaired and 26 normal-sighted) completed all testing visits. Methods: Subjects navigated MLMT courses three times over 1 year. At each visit, subjects completed testing using individual eyes, and both eyes, at up to nine standardized, increasing luminance levels (range 1 to 400 lux). Accuracy and speed were evaluated and compared with visual acuity (VA), visual field (VF) and a visual function questionnaire. Main Outcome Measures: Accuracy and speed of normal and visually impaired subjects on MLMT, and reliability and content validity of MLMT were the main outcome measures. Results: MLMT distinguished normal-sighted from visually impaired subjects. All control subjects passed all MLMT attempts at all tested light levels. Visually impaired subjects' performance varied widely; some declined over 1 year. Performance declined markedly below certain VA and VF thresholds. Concordance on performance on two baseline visits was high: correlations for accuracy were 94% and 98% for lowest common and highest common lux levels. Conclusions and Relevance: MLMT differentiated visually impaired from control populations and, in visually impaired subjects, identified a range of performances; and tracked performance declines over time, consistent with these progressive conditions.
  • Authors

    Digital Object Identifier (doi)

    Author List

  • Chung DC; McCague S; Yu ZF; Thill S; DiStefano-Pappas J; Bennett J; Cross D; Marshall K; Wellman J; High KA
  • Start Page

  • 247
  • End Page

  • 259
  • Volume

  • 46
  • Issue

  • 3