Binary outcome (single measure) but repeated measures for some independant vars

Hi all,

I wonder what kind of analysis technique I should use in the following
situation:

We had baseline data + repeated mesures on covariates and also on the
outcome.
It turned out that outcome measures were highly variables (there also
was a change in the reading procedure).

So we decided to have a clinician judge the overall evolution of each
patient's outcome and decide if its status regress or not.

I still have the baseline info.
My question is regarding the repeated covariates measures.
Each patient had a different number of visits (it goes from 5 to 15
visits), each time, some measurements were done (some variables were
also measured more often than some other). We would like to use that
info.

What kind of model I should go with?
It's the repeated covariates but single outcome thing that messes me
up.

Thanks for you input (Here and private mail, if possible).

Thanks,

JP