ROC Model of Putative Retinal Gliosis to Distinguish Between Preclinical AD and Controls The ROC model based on the surface area of putative retinal gliosis alone to distinguish between preclinical AD and controls had a satisfactory AUC of 0.63 (95% CI = 0.50 – 0.76) and approached significance ( P = 0.05; Fig. 7 ).
Whereas a borderline significant ROC model using surface area of putative retinal gliosis alone was obtained for distinguishing preclinical AD from controls, a combined model considering the surface area of putative retinal gliosis alongside specific RNFL thicknesses showed improved specificity which was significant.
The inner inferior, inner superior, and inner nasal RNFL thicknesses were chosen for the second model since they were close to significance when compared between the groups (see Table 2 ).