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A simple clinical score for estimating the long- term risk of fracture in post-menopausal women
Simple tools are needed to identify patients at high risk of fracture. To develop a simple clinical tool for assessing 5-year risk of fracture. Cohort study. The study population consisted of all women aged 50+ included in the THIN Research Database (containing computerized medical records of UK gen...
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Published in: | QJM : An International Journal of Medicine 2006-10, Vol.99 (10), p.673-682 |
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Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that cite this one |
Online Access: | Get full text |
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Summary: | Simple tools are needed to identify patients at high risk of fracture.
To develop a simple clinical tool for assessing 5-year risk of fracture.
Cohort study.
The study population consisted of all women aged 50+ included in the THIN Research Database (containing computerized medical records of UK general practices). Using Cox proportional hazards models, a risk score was initially estimated from age, body mass index, and clinical risk factors. The 5-year risk of fracture (survival function) was estimated for each score.
The study population included 366 104 women aged > or = 50 years (mean follow-up 5.8 years). Of these, 6453 suffered a hip fracture. Several characteristics independently contributed to the fracture risk score (age, body mass index, fracture and fall history, previous diagnoses and use of medication). The 5-year risks for hip fracture for patients with total scores of 10, 30 and 50 were 0.3% (95%CI 0.3-0.4%), 2.2% (95%CI 2.1-2.2%), and 13.1% (95%CI 12.5-13.7%), respectively. A woman aged 65 years with low BMI and a history of both fracture and falling would have a hip fracture risk score of 37, with a corresponding 5-year risk for a hip fracture of 4.1% (4.0-4.2%). The risk score was validated and tested in another population (from GPRD), with a good concurrence between predicted and observed risks of fracture.
This risk score predicts the long-term risk of fracture, and could be used for targeting patients for further investigation, such as bone densitometry. |
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ISSN: | 1460-2725 1460-2393 |
DOI: | 10.1093/qjmed/hcl094 |