Receiver Operator Characteristic (ROC) curve analyses and multivariable logistic regression were performed to evaluate predictors of WRF, and added value in multivariable models was assessed using likelihood ratio tests of nested models. Multivariable models were constructed via backward elimination of candidate covariates with a univariable association at p < 0.1, with a p for retention of 0.05.