Pre-fracture independent ambulation (p < 0.001), living at home at time of fracture (p < 0.001), younger age (p = 0.006), higher BMI (p = 0.012), female gender (p = 0.014), and low number of comorbidities (p < 0.001) were predictors for 1-year survival.
Twenty-seven (10.3%) participants died within 1-year post-PHF. The discrimination and calibration were evaluated. A clinical prediction model was developed using LASSO regression and validated using split sample and bootstrapping methods. The primary outcome was 1-year mortality. Baseline variables including demographics, residential status, and comorbidities were collected. Retrospective study with 261 patients aged 65 and older who were treated for a PHF in University Hospitals Leuven between 20. The aim of this study was to investigate if patient characteristics can be used to predict 1-year post-fracture mortality. Proximal humeral fractures (PFH) are the third most common major non-vertebral osteoporotic fractures in older persons and result in an increased mortality risk. A clinical prediction model showed that the combination of 6 pre-fracture characteristics demonstrated good predictive properties for mortality within 1 year of PHF. The goal was to investigate if patient characteristics can be used to predict 1-year post-fracture mortality after proximal humeral fracture (PHF).
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