How do you interpret an odds ratio of an interaction between two continuous variables $x_1, x_2$? Would you fix $x_2$ and let $x_1 = x$ and $x_1 = x+1$?
Whether it's an odds ratio, or a survival analysis, or a typical continuous response variable, you don't directly interpret interaction terms. When all covariates are categorical (i.e., in an ANOVA), you interpret 'simple effects'. That is, the effect of a factor on the dependent variable at each level of the other factor with which it interacts. When you have two continuous covariates, as in your case, this is a little more subtle (in that there aren't specific levels of the other covariate that are obviously the 'right' levels to condition on). You still need to assess the association between the odds ratio and one of your covariates at pre-specified levels of the other covariate, so if there are some specific values that are salient, or particularly meaningful for some reason, you could use those. More commonly however, you assess the relationship at the mean and +/- 1 SD of the other covariate, and interpret that.