The baseline characteristics of the two groups were compared using χ2 tests to test for categorical variables and Student's t-tests or the Mann-Whitney U test for continuous variables. Analysis of covariance (ANCOVA) was employed to compare the subfoveal CT between the two groups to adjust for different baseline parameters.
Longitudinal changes of subfoveal CT were evaluated in cases with follow-up evaluations at an interval of at least 6 months. Because of the repeated measurement of subfoveal CT at each patient visit and variations in visit time, we used the linear mixed model to determinate the rate of changes in subfoveal CT. We modeled subfoveal CT as a function of time, baseline factors, and an interaction term for group with time and represented it as the average rate of change in subfoveal CT per year. The baseline factors were age, sex, group, history of systemic hypertension, history of diabetes, baseline OPP, and square root of baseline drusen area. The time and intercept were random factors, and we considered the other factors as fixed factors. In a set of subanalyses, we investigated factors that could potentially affect the rate of change in subfoveal CT in the RPD and non-RPD groups, respectively. In those tests, we modeled the subfoveal CT as a function of time, baseline factors, and interaction terms for baseline factors with time. We chose the final models after selecting the factors that showed a significant association with time.
A multivariate Cox proportional hazard model with a stepwise selection process was used to analyze the risk factors, age, sex, history of hypertension, history of diabetes, OPP, lens status, initial subfoveal CT, presence of RPD, and square root of initial drusen area. We obtained the hazard ratio and 95% confidence intervals for development of late AMD using that model. Statistical analyses were performed using analysis software (SAS 9.2; SAS Institute, Cary, NC, USA).