Selection for treatment of patients at high risk of fracture by the short versus long term prediction models - data from the Belgian FRISBEE cohort.

Laura IconaruA CharlesF BaleanuM MoreauM SurquinF BenoitJ de FiletteR KarmaliJ J BodyP Bergmann

Published in: Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA (2023)

In our Belgian FRISBEE cohort, the imminent model was less sensitive but more selective in the selection of subjects in whom an imminent fracture should be prevented, resulting in a lower NNT. The correction for recency in this elderly population further decreased the selectivity of FRAX®. These data should be validated in additional cohorts before using them in everyday practice.

Keyphrases

electronic health record
big data
healthcare
primary care
hip fracture
middle aged
machine learning
deep learning
data analysis
quality improvement