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In April 2018, about 50 questions on the current status of CDI assays and details on implementation and perceptions were written, and a survey questionnaire was administered to laboratory medicine specialists in 200 institutions in Korea. The contents of questions in details were described in Table 1. Statistical analysis was performed using IBM SPSS Statistics version 23.0 (IBM Corp., Armonk, NY, USA) and MedCalc version 10.0 (MedCalc Software bvba, Ostend, Belgium). Continuous variables were compared using t-test and Mann-Whitney U test, and categorical variables were compared using Fisher’s exact test or χ² test, as appropriate. P < 0.05 was considered statistically significant.

The assumption of data normality was tested using the Kolmogorov-Smirnov test. The Student's t-test or the Mann-Whitney U test was used to compare continuous data. One-way analysis of variance test was used for comparison of OCTA vessel density and OCT measurements among the normal control, mild, and moderate-to-severe glaucoma group. Multiple comparisons with Bonferroni adjustments were used for pairwise comparisons. P values < 0.05 were considered statistically significant. The Pearson-Spearman correlation test was used to investigate the correlation between the VF parameters and the vessel density of each layer. Receiver operating characteristic (ROC) curves were used to describe the ability of vessel density obtained from OCTA to differentiate glaucoma from normal controls. Area under the ROC curve (AUROC) was calculated to assess the diagnostic accuracy of each measurement. An AUROC of 1.0 represented perfect discrimination, whereas an AUROC of 0.5 represented chance discrimination. The method described by DeLong et al.15 (link) was applied to compare the AUROCs. Statistical analyses were performed with SPSS for Windows 21.0 (SPSS, Inc., Chicago, IL) and Medcalc version 10.0 (Medcalc Software; Ostend, Mariakerke, Belgium).