第一个问题，我个人觉得类别变量要纳入模型做多重共线性检验是要将其处理为哑变量的；第二个问题，审稿人问这个问题，如果让我来做。我会在回复中直接把两个表都给他看，说明vif都不大于10，表明不存在严重多重共线性的，然后在文章中具体点明这点。祝好运～

十分感谢您的回答！下面是审稿人的原话：
The author used grouped data for length of hospitalization and duration of catheterization in the multivariate analysis. Can the author please comment on whether these factors were significant when the raw values are used instead? This might provide some clarify, and reduce collinearity between variables to some extent.
最后这个“reduce collinearity between variables”让我有些糊涂了，是让我说明转换变量之后降低了共线性吗？

审稿人是建议你试试原始数据构建模型，看结果是否一样额。

这是我写的回复，最后关于VIF的说明不知道合不合适，本人医学，统计全自学的，费了九牛二虎之力了！
The authors’ answer:
Thank you very much for your comment. When the raw values (duration of catheterization and length of hospitalization) were used in the logistic multivariate analysis, they also showed significant correlation with infections (p=0.0108 and p<0.0001). We checked collinearity between the variables by calculating the variance inflation factor (VIF) statistic (Table 1 and 2). All VIF values were below the commonly suggested cut-off of 10 (VIF values were smaller when the variables were stratified), indicating that collinearity was not a problem in our model.

可以额。这样回答基本没问题～祝好运～