Although a previous hip fracture is one of the strongest predictors for the next one this risk might be modified by other factors. The goal of this analysis was to compute a simple algorithm to assess the individual risk for a contralateral hip fracture. The analysis is based on a nationwide population-based Danish cohort study of 84,360 patients experiencing a hip fracture followed-up for 5 years. We a priori defined a set of 17 candidate parameters potentially associated with early contralateral hip fracture. We bootstrapped a stepwise augmentation procedure 10 times and selected five parameters that entered the model in all bootstrapping cycles and computed the individual risk for a contralateral fracture within two, three, and five years after the first incidence.Introduction
Materials and methods