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Method and Instrumented Fixture for Femoral Fracture Testing in a Sideways Fall-on-the-Hip Position
Published on: August 17, 2017
Prognostic Tools for Predicting Mortality in Older Adults With Hip Fracture: A Systematic Review
Gemma Badosa-Collell1,2, Estel Call-Alsina3,4, Jordi Amblàs-Novellas5
1Department of Intermediate Care, Hospital d'Olot i Comarcal de la Garrotxa, Olot, ESP.
Predicting mortality after hip fracture (HF) in older adults is crucial. Multidimensional assessments, like the Frail-VIG index, show the highest accuracy for long-term survival prediction in HF patients.
Area of Science:
- Gerontology
- Orthopedics
- Epidemiology
Background:
- Hip fracture (HF) is a significant health issue in older adults, leading to severe functional decline, disability, and increased mortality.
- Accurate prognostic tools are needed for personalized clinical decisions in HF management.
Purpose of the Study:
- To systematically review prognostic tools for predicting mortality in patients over 65 with hip fractures.
- To identify tools with the highest predictive capacity for mortality at different time points.
Main Methods:
- A systematic review of studies published up to June 2022 was conducted.
- Searches were performed in PubMed, Scopus, and Web of Science databases.
- Eligibility criteria included single or multicentre studies assessing prognostic tool accuracy for long-term mortality in HF patients over 65.
Main Results:
- Twenty-four eligible publications were identified, mostly prospective observational cohort studies.
- For 30-day mortality, ASAgeCoGeCC score and Almelo Hip Fracture Score showed high predictive capacity (AUC = 0.82).
- A nomogram including clinical and biochemical variables predicted six-month mortality (AUC = 0.83), while the Frail-VIG index best predicted one-year mortality (AUC = 0.90).
Conclusions:
- Significant variability exists in prognostic tools for hip fracture mortality.
- Multidimensional assessments, incorporating clinical, nutritional, functional, cognitive, and social domains, demonstrate superior predictive power for long-term mortality in hip fracture patients.
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