ECOG status, however, was not an independent prognostic factor in multivariate analyses, and the duration of response was not correlated with an advanced ECOG status.
This prevents the incorporation of a larger amount of variables to correct for in the multivariate analyses (e.g. duration of follow-up post transplantation).
Further, ADT independently predicted future fracture risk in multivariate analyses, and longer treatment duration conferred a greater risk for subsequent fractures.
In multivariate analyses adjusted for age, length of follow-up, duration of diabetes, and microalbuminuria at baseline, the difference was no longer statistically significant (15).
Multivariate analyses considering the interaction between duration of fever and other variables (e.g. level of illness, age), and stratification for different kinds of SBIs, may yield more data about the relationship between duration of fever and risk of SBI.
Covariates for the multivariate analyses included sex, age, disease duration and the clinical parameters: age at diagnosis, malar rash, discoid or subacute cutaneous lesions, photosensitivity, oral ulcers, arthritis, serositis, renal, neurological or hematological disorder.
Further multivariate analyses revealed no trend with duration of follow-up, but a significantly higher excess among patients younger than 50 years at transplantation compared to those 50 years or older.
The following five variables (after adjusting for willingness to participate) influenced claim duration at one year follow-up in the multivariate analyses: age, history of similar symptoms, duration of symptoms, self-predicted timing of return-to-work and job satisfaction.
Our results were virtually unmodified in multivariate analyses after further adjustment for diabetes duration; however, residual confounding effects on our data cannot be ruled out.
