Since the our very own number one objective, differences in the features of the effects anywhere between male and female sex was basically analysed

This new endpoints Os, AFS, and you can independence out-of amputation were analysed playing with multivariable go out-dependent Cox regression activities for the the full model (the clients) in accordance with sex-interaction conditions for each chance basis. The latest models getting independence out of amputation considered dying because the a fighting exposure in contrast to the fresh new AFS activities, which included death regarding the endpoint. For this specific purpose, i utilized Okay and you can Gray’s approach to guess sub-distributional danger rates (HRs) about AFS design.

The models included risk profiles of patients at baseline and additionally time-dependent occurrence of comorbidities or procedures in the follow-up period. Thus, we evaluated the interaction of sex with all variables in the Cox regression models. Two-sided P-values for the test of interaction of the two models were jointly adjusted using the Benjamini–Hochberg procedure 34 to control the false discovery rate (FDR) with respect to the multiple testing problem. False discovery rate-corrected P-values-denoted with P int-will be discussed and presented in the Supplementary material online.