Prognostic factors and prediction model for 1-year mortality after proximal humeral fracture
Summary The goal was to investigate if patient characteristics can be used to predict 1-year post-fracture mortality after proximal humeral fracture (PHF). A clinical prediction model showed that the combination of 6 pre-fracture characteristics demonstrated good predictive properties for mortality...
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Veröffentlicht in: | Archives of osteoporosis 2023-05, Vol.18 (1), p.76-76, Article 76 |
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Sprache: | eng |
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Zusammenfassung: | Summary
The goal was to investigate if patient characteristics can be used to predict 1-year post-fracture mortality after proximal humeral fracture (PHF). A clinical prediction model showed that the combination of 6 pre-fracture characteristics demonstrated good predictive properties for mortality within 1 year of PHF.
Introduction
Proximal humeral fractures (PFH) are the third most common major non-vertebral osteoporotic fractures in older persons and result in an increased mortality risk. The aim of this study was to investigate if patient characteristics can be used to predict 1-year post-fracture mortality.
Methods
Retrospective study with 261 patients aged 65 and older who were treated for a PHF in University Hospitals Leuven between 2016 and 2018. Baseline variables including demographics, residential status, and comorbidities were collected. The primary outcome was 1-year mortality. A clinical prediction model was developed using LASSO regression and validated using split sample and bootstrapping methods. The discrimination and calibration were evaluated.
Results
Twenty-seven (10.3%) participants died within 1-year post-PHF. Pre-fracture independent ambulation (
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ISSN: | 1862-3514 1862-3514 |
DOI: | 10.1007/s11657-023-01260-8 |