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
Hauptverfasser: Van Grootven, Bastiaan, Janssens, Sigrid, De Keyser, Laurence, Voortmans, Jens, Nijs, Stefaan, Flamaing, Johan, Dejaeger, Marian
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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 ( p  
ISSN:1862-3514
1862-3514
DOI:10.1007/s11657-023-01260-8