I have a question regarding correction for multiple comparisons in logistic regression using SPSS.

I have a huge data set of n=762. I am testing whether regional infarct volume in ischemic stroke (a continuous variable) predicts cognitive impairment (yes or no --> binary outcome). I have 90 regional volumes in total and I need to run 90 separate analyses. In each one, I will be setting the following parameters:

- Outcome variable is cognitive impairment;

- Predictors are sex (correction factor), total lesion volume (correction factor), and regional infarct volume (entering one at a time) = so, 3 predictors for each of the 90 models that I will be running.

Do I need to and how can I apply correction for multiple comparisons using SPSS in this case? I don't see how the program can do that so far. Would setting the confidence intervals to 99% be of any help?

Thanks in advance, all help is very much appreciated!!