ROC curve for GLMM is possible?

Friends, My doubt is as follows, I am using the following code in R for construction of a ROC curve , but I can not say if in case of GLMM (mixed generalized linear model) I can use and if he in this case the code then will consider the random part also or only the fixed ones such as occurs in logistic regression, which would not give me a correct information.

 library(ROCR)
 pred <- prediction(fitted(gg1), dados$status)
 perf <- performance(pred, measure = "tpr", x.measure = "fpr")
 plot(perf, main = "ROC", col = "blue", lwd = 3)
 abline(a = 0, b = 1, lwd = 2, lty = 2)
 perf.auc <- performance(pred, measure = "auc")
 (area <- performance(pred, "auc"))