RT Journal Article SR Electronic T1 Area under the dark adaptation curve as a reliable alternate measure of dark adaptation response JF British Journal of Ophthalmology JO Br J Ophthalmol FD BMJ Publishing Group Ltd. SP bjophthalmol-2021-318806 DO 10.1136/bjophthalmol-2021-318806 A1 Shrinivas Pundlik A1 Archana Nigalye A1 Inês Laíns A1 Kevin M Mendez A1 Raviv Katz A1 Janice Kim A1 Ivana K Kim A1 John B Miller A1 Demetrios Vavvas A1 Joan W Miller A1 Gang Luo A1 Deeba Husain YR 2021 UL http://bjo.bmj.com/content/early/2021/04/21/bjophthalmol-2021-318806.abstract AB Purpose Quantification of dark adaptation (DA) response using the conventional rod intercept time (RIT) requires very long testing time and may not be measurable in the presence of impairments due to diseases such as age-related macular degeneration (AMD). The goal of this study was to investigate the advantages of using area under the DA curve (AUDAC) as an alternative to the conventional parameters to quantify DA response.Methods Data on 136 eyes (AMD: 98, normal controls: 38) from an ongoing longitudinal study on AMD were used. DA was measured using the AdaptDx 20 min protocol. AUDAC was computed from the raw DA characteristic curve at different time points, including 6.5 min and 20 min (default). The presence of AMD in the given eye was predicted using a logistic regression model within the leave-one-out cross-validation framework, with DA response as the predictor while adjusting for age and gender. The DA response variable was either the AUDAC values computed at 6.5 min (AUDAC6.5) or at 20 min (AUDAC20) cut-off, or the conventional RIT.Results AUDAC6.5 was strongly correlated with AUDAC20 (β=86, p<0.001, R2=0.87). The accuracy of predicting the presence of AMD using AUDAC20 was 76%, compared with 79% when using RIT, the current gold standard. In addition, when limiting AUDAC calculation to 6.5 min cut-off, the predictive accuracy of AUDAC6.5 was 80%.Conclusions AUDAC can be a valuable measure to quantify the overall DA response and can potentially facilitate shorter testing duration while maintaining diagnostic accuracy.Data sharing is not applicable as no data sets are generated and/or analysed for this study.