alexa Test-retest variability of microperimetry using the Nidek MP1 in patients with macular disease.
Ophthalmology

Ophthalmology

Journal of Clinical & Experimental Ophthalmology

Author(s): Chen FK, Patel PJ, Xing W, Bunce C, Egan C,

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Abstract PURPOSE: To determine the test-retest variability of the retinal sensitivity of the Nidek MP1 microperimeter in patients with macular disease. METHODS: In this prospective study, 50 patients were enrolled with a range of macular diseases. One examiner performed two consecutive microperimetry tests for all patients using the same test strategy. Test-retest variability for mean sensitivity (MS), mean deviation (MD), point-wise sensitivity (PWS), local defect classification (LDC), average sensitivity for the central macula (CMS, 16 loci inside 10 degrees ), paracentral macular sensitivity (PMS, 52 loci in the 10 to 20 degrees ring), and dense scotoma size (DSS) were analyzed by calculating the 95\% coefficients of repeatability or percentage agreement. RESULTS: Mean (SD) age and visual acuity were 61 (15) years and 0.34 (0.32) logMAR, respectively. The mean difference in MS between tests 1 and 2 was +0.2 dB (SD, 0.9 dB; P = 0.127). The coefficients of repeatability for MS, MD, CMS, and PMS were 1.81, 2.56, 2.13, and 1.93 dB, respectively. The mean (SD) of coefficients of repeatability for PWS across all 68 loci was 5.56 (0.86) dB. Of all test loci in all patients 76\% had perfect agreement in LDC, and 94\% of patients had a change in DSS of four or fewer test loci. CONCLUSIONS: Test-retest variability was lowest for MS and highest for PWS. However, MS does not provide spatial information. The authors recommend the use of CMS and PMS for monitoring macular function and consider a change of greater than 2.56 and 2.31 dB (the upper limit of the 95\% confidence interval of their coefficients of repeatability), respectively, to exceed test-retest variability. This article was published in Invest Ophthalmol Vis Sci and referenced in Journal of Clinical & Experimental Ophthalmology

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