The ST results were dichotomized into normal or abnormal (<8 mm in either eye), and the TBUT into normal or abnormal (<5 seconds), by using previous
4 and other mean-value–based thresholds. Evaporative dry eye was defined as abnormal TBUT but normal ST result. Hyposecretory dry eye was defined as normal TBUT and abnormal ST result, and mixed dry eye was defined as abnormal TBUT and ST result. The Yamaguchi score was analyzed for each of the lid sectors, and the total score for each eye amounted to the sum of the individual grades of the four sectors in that eye.
Data analysis for categorical and continuous variables was performed with the χ2 test and either the t-test or the analysis of variance (ANOVA), respectively (SPSS Inc., Chicago, IL). For significant changes in the ANOVA, post hoc tests with Bonferroni correction were applied. When using ANOVA to analyze the age and the extent of central and inferior corneal fluorescein staining in different dry eye categories, multiple paired comparisons were used in the statistical software. A separate Bonferroni correction was applied, dividing 0.05 by the number of remaining statistical comparisons to obtain a corrected α. Because the analyses for each of the three goals of the study (characterization of dry eye subtypes, comparison of symptoms and signs of dry eye, and characterization of MGD) differ in the number of statistical comparisons (3, 26, and 7, respectively), the corrected α values were different: 0.05/3 or 0.017, 0.05/26 or 0.0019 and 0.05/7 or 0.0071, respectively.
For logistic regression models with a binary outcome variable, such as a specific dry eye symptom present in 40% of 200 participants, the power of detecting an odds ratio of 1.5 at α = 0.05 for a single independent variable is 0.802 (
www.dartmouth.edu/∼eugened/power-samplesize.php).
Unless otherwise stated, only one eye (right) of each patient was used in the analyses presented in the results, although we also performed the same analyses to check for consistency with the left eye data.