AbstractPurposeTo assess whether compensating the RNFL thickness for multiple demographic and anatomical factors improves the detection of glaucoma.MethodsThis case‐control study enrolled 2699 healthy participants to construct and test a multivariate compensation model, which was then applied in 387 healthy controls and 387 glaucoma cases (early, n = 219; moderate, n = 97; and, advanced, n = 71). Participants underwent Cirrus spectral‐domain OCT (Carl Zeiss Meditec) imaging of the optic disc and macular cubes. Compensated RNFL thickness was generated based on ethnicity, age, refractive error, optic disc (ratio, orientation, and area), fovea (distance and angle), and retinal vessel density. RNFL thickness measurements and their corresponding areas under the receiver operating characteristic curves (AUCs) were obtained.ResultsAfter applying the Asian‐specific compensation model, the standard deviation (SD) of RNFL thickness reduced, where the effect was greatest for Chinese (16.9%), followed by Malays (13.9%) and then Indians (12.1%). Multivariate normative comparison outperformed measured RNFL for discrimination of early glaucoma (AUC = 0.90 vs 0.85; p < 0.001), moderate glaucoma (AUC = 0.94 vs 0.91; p < 0.001) and advanced glaucoma (AUC = 0.98 vs 0.96; p < 0.001).ConclusionsThe multivariate normative database of RNFL showed better glaucoma discrimination capability than measured RNFL thickness, which suggests there may be utility in accounting for demographic and anatomical variance in RNFL thickness to improve glaucoma detection.
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