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Giorgia Demaria, Alessandro Grillini, Nomdo M Jansonius; Evaluating perimetric techniques in the elderly. Invest. Ophthalmol. Vis. Sci. 2020;61(7):3883.
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© ARVO (1962-2015); The Authors (2016-present)
To determine the most suitable technique for the assessment of the visual field in the elderly.
Cross-sectional study with 25 glaucoma patients and 24 age-similar controls. Participants had to be 70+ and with MOntreal Cognitive Assessment 24/30 or better. Tests were divided in motor (requiring pushing a button; Humphrey Field Analyzer [HFA], Ocusweep Visual Field Threshold [VFT], Ocusweep Reaction Time [RT], Frequency Doubling Technology [FDT], DAMATO Multifixation Campimetry Online) and non-motor (using eye-tracking; Eye Movement Campimetry [EMC] and EyeCatcher). There were three outcome measures: (1) success rate (ability to complete the test), (2) a continuous visual field measure specific to each test, and (3) user friendliness, which was based on three questionnaire-based parameters (practicability, comprehensibility, and tiresomeness; scale 0[bad]-10[good]). We used a Mann-Whitney test to assess the ability to discriminate between glaucoma and healthy for tests with success rate above> 80%; user friendliness was compared between devices using a Friedman (motor) and Wilcoxon (non-motor) test.
Median age was 76 in patients and 74 in controls (P=0.11). RT and EyeCatcher had a success rate below 80%. All remaining devices were able to discriminate between cases and controls (P<0.001). For the motor tests, there was a statistically significant difference in practicability (P<0.001; FDT best [median score 9], HFA worst ) and tiresomeness (P<0.001; FDT best , HFA worst ) but not in comprehensibility (P=0.15). For the non-motor tests, there was a statistically significant difference in practicability (P=0.010; EMC best ) but not in comprehensibility (P=0.32) or tiresomeness (P=0.35).
Success rates of RT and EyeCatcher were too low to be clinically useful. All remaining tests could discriminate between glaucoma and healthy. FDT was most user friendly.
This is a 2020 ARVO Annual Meeting abstract.
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