Key result
A prediction model incorporating age, male sex, ASA classification, and hemoglobin levels demonstrated good discrimination for in-hospital mortality in geriatric hip fracture patients (c-statistic 0.77).
Why the study?
To develop and validate a prediction model for in-hospital mortality in patients 85 years of age or older undergoing surgery for hip fracture.
What are the independent predictors of in-hospital mortality in patients 85 years of age or older undergoing hip fracture surgery?
Population
1014 patients 85 years of age or older undergoing hip fracture surgery
Design
Multicenter prospective cohort study
Authors
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May inform risk stratification in geriatric hip fracture; leaves open need for validation before clinical use.
Cohort (n=1,014)
Yes
What are the independent predictors of in-hospital mortality in patients 85 years of age or older undergoing hip fracture surgery?
Effect estimate: c-statistic 0.77
A simple prediction model incorporating age, male sex, ASA classification, and hemoglobin levels accurately predicts in-hospital mortality in geriatric patients undergoing hip fracture surgery.
Schuijt et al. (2020) conducted a cohort in Hip fracture (n=1,014). Hip fracture surgery was evaluated on In-hospital mortality (c-statistic 0.77). A prediction model incorporating age, male sex, ASA classification, and hemoglobin levels demonstrated good discrimination for in-hospital mortality in geriatric hip fracture patients (c-statistic 0.77).
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