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Dataset Information

A novel clinical prediction model for hip fractures: a development and validation study in the total population of Sweden.


ABSTRACT:

Background

Low bone density and osteoporosis are indications for bone-specific treatment. However, given the limited availability of bone density data in clinical practice and the fact that most patients with hip fracture do not have osteoporosis, accurate prediction of hip fracture risk in the absence of bone density data would be crucial.

Methods

This development and validation study included the entire Swedish population aged 50 years or older in 2005 (N = 3,340,977) and was conducted by cross-linking data from nationwide registers. Potential predictive variables included diagnoses, prescription medications, familial factors, frailty-related factors, and socioeconomic factors. The primary endpoint was the 5-year risk of hip fracture. Fracture prediction algorithms were de

SUBMITTER: Nordstrom P 

PROVIDER: S-EPMC11490797 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature