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Using risk factors and quantitative ultrasound to identify postmenopausal caucasian women at risk of osteoporosis

Using risk factors and quantitative ultrasound to identify postmenopausal caucasian women at risk of osteoporosis
Using risk factors and quantitative ultrasound to identify postmenopausal caucasian women at risk of osteoporosis
There is a need to prescreen large numbers of individuals for osteoporosis due to current demands on clinical resources. Some previous attempts to predict individuals at risk have used simple indices based on patient information, or Quantitative Ultrasound (QUS) and have shown good sensitivity but also demonstrated low specificity, which means that many individuals with good bone mineral density were also selected. The aim of this study was to determine if a tool based on a combination of risk factors and QUS measurements could also be made to provide improved specificity. A risk factors measurement questionnaire was created and completed for a sample of Caucasian postmenopausal women (n = 235) who had undergone Dual-energy X-ray absorptiometry scanning. QUS measurements were also taken at various skeletal sites. Assessment tools were generated using stepwise regression to predict osteoporosis, evaluated by receiver operating characteristic curves, and assessed using area under the curve values. Specificity values were determined at a sensitivity of 0.90 to establish the comparative utility of each assessment tool. Using only a risk factors model the specificities were 0.28 at the lumbar spine, 0.45 for the femoral neck and 0.68 for the total hip. In a risk factors + QUS data model the specificities measured were 0.44 for the lumbar spine, 0.78 for the femoral neck, and 0.84 for the total hip. These novel assessment tools can identify those with low bone mineral density at a number of skeletal sites and help towards avoiding many unnecessary investigations in the future.
bone mineral density, osteoporosis, quantitative ultrasound, questionnaires, risk factors
1094-6950
485-493
Minnock, E.
0df288f5-b703-49e8-aacd-3c36c3851786
Cook, R.B.
06f8322d-81be-4f82-9326-19e55541c78f
Collins, D.
2b66fd7b-6461-4290-87b0-54fe8fe7e4b6
Tucker, J.
124febb6-dc7f-4dab-b425-ff3e85c81593
Zioupos, P.
11b6158a-2969-43b4-b19b-a01b00ee65fa
Minnock, E.
0df288f5-b703-49e8-aacd-3c36c3851786
Cook, R.B.
06f8322d-81be-4f82-9326-19e55541c78f
Collins, D.
2b66fd7b-6461-4290-87b0-54fe8fe7e4b6
Tucker, J.
124febb6-dc7f-4dab-b425-ff3e85c81593
Zioupos, P.
11b6158a-2969-43b4-b19b-a01b00ee65fa

Minnock, E., Cook, R.B., Collins, D., Tucker, J. and Zioupos, P. (2008) Using risk factors and quantitative ultrasound to identify postmenopausal caucasian women at risk of osteoporosis. Journal of Clinical Densitometry, 11 (4), 485-493. (doi:10.1016/j.jocd.2008.04.002). (PMID:18539491)

Record type: Article

Abstract

There is a need to prescreen large numbers of individuals for osteoporosis due to current demands on clinical resources. Some previous attempts to predict individuals at risk have used simple indices based on patient information, or Quantitative Ultrasound (QUS) and have shown good sensitivity but also demonstrated low specificity, which means that many individuals with good bone mineral density were also selected. The aim of this study was to determine if a tool based on a combination of risk factors and QUS measurements could also be made to provide improved specificity. A risk factors measurement questionnaire was created and completed for a sample of Caucasian postmenopausal women (n = 235) who had undergone Dual-energy X-ray absorptiometry scanning. QUS measurements were also taken at various skeletal sites. Assessment tools were generated using stepwise regression to predict osteoporosis, evaluated by receiver operating characteristic curves, and assessed using area under the curve values. Specificity values were determined at a sensitivity of 0.90 to establish the comparative utility of each assessment tool. Using only a risk factors model the specificities were 0.28 at the lumbar spine, 0.45 for the femoral neck and 0.68 for the total hip. In a risk factors + QUS data model the specificities measured were 0.44 for the lumbar spine, 0.78 for the femoral neck, and 0.84 for the total hip. These novel assessment tools can identify those with low bone mineral density at a number of skeletal sites and help towards avoiding many unnecessary investigations in the future.

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More information

Published date: October 2008
Keywords: bone mineral density, osteoporosis, quantitative ultrasound, questionnaires, risk factors
Organisations: nCATS Group

Identifiers

Local EPrints ID: 158603
URI: http://eprints.soton.ac.uk/id/eprint/158603
ISSN: 1094-6950
PURE UUID: 6edf5247-36f2-4378-8c43-8d12d1472db7
ORCID for R.B. Cook: ORCID iD orcid.org/0000-0002-2468-5820

Catalogue record

Date deposited: 26 Mar 2013 09:31
Last modified: 14 Mar 2024 02:55

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Contributors

Author: E. Minnock
Author: R.B. Cook ORCID iD
Author: D. Collins
Author: J. Tucker
Author: P. Zioupos

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