Literature DB >> 14593453

Limited utility of clinical indices for the prediction of symptomatic fracture risk in postmenopausal women.

Tuan V Nguyen1, Jacqueline R Center, Nicholas A Pocock, John A Eisman.   

Abstract

Bone mineral density (BMD) is the primary predictor of fracture, and is utilised in the definition of osteoporosis. Mass screening for osteoporosis is, however, currently not recommended. The primary objective of this study was to develop, validate and assess a simple, non-invasive scoring system to identify women at high risk of fracture. Using baseline data of the Dubbo Osteoporosis Epidemiology Study, a sample of 1256 women aged 60 or above was randomly divided into a development cohort (n=846) and a validation cohort (n=410). Low BMD was evaluated by DXA, with respect to 2.0 or 2.5 SD below the mean for young normal women at the femoral neck and lumbar spine. A logistic regression model was used to derive a predictive score, "DOEScore", in the development cohort, and the performance of this score was then assessed in the validation cohort. Incident fractures over 9395 person-years (median of follow-up duration: 8.4 years) were identified by X-ray records. Approximately 57% and 40% of women (in both cohorts) had T-scores less than -2.0 and greater than -2.5, respectively. Only age, body weight, and previous fracture were significantly related to BMD at both the femoral neck and lumbar spine. These three variables were used in the development of the DOEScore. When applied to the validation cohort, the sensitivity and specificity of DOEScore were 0.82 and 0.52, respectively, for selecting women with T-scores less than -2.5; the area under the receiver operating characteristic (ROC) curve was 0.75. These goodness-of-fit indices were comparable to, or better than, those obtained by the FOSTA, SOFSURF and ORAI score systems. However, neither the DOEScore nor other score systems reliably identify women with incident fractures; for DOEScore, the sensitivity and specificity were 0.52 and 0.49, respectively, with an area under the ROC curve of 0.48. Clinical risk scores can be used to identify women likely to have low BMD (albeit with low specificity), but they are not a useful tool to identify women who will have a fracture.

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Year:  2003        PMID: 14593453     DOI: 10.1007/s00198-003-1511-3

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   4.507


  24 in total

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Journal:  BMJ       Date:  1996-05-18
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  17 in total

1.  Validation of the Cummings' risk score; how well does it identify women with high risk of hip fracture: the Tromsø Study.

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Journal:  Osteoporos Int       Date:  2007-01-10       Impact factor: 4.507

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Journal:  Osteoporos Int       Date:  2007-03-15       Impact factor: 4.507

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Journal:  Clin Orthop Relat Res       Date:  2006-02       Impact factor: 4.176

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Authors:  T V Nguyen
Journal:  Osteoporos Int       Date:  2007-07-05       Impact factor: 4.507

Review 7.  The Osteoporosis Self-Assessment Tool versus alternative tests for selecting postmenopausal women for bone mineral density assessment: a comparative systematic review of accuracy.

Authors:  B Rud; J Hilden; L Hyldstrup; A Hróbjartsson
Journal:  Osteoporos Int       Date:  2008-08-21       Impact factor: 4.507

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Authors:  Chatlert Pongchaiyakul; Nguyen D Nguyen; John A Eisman; Tuan V Nguyen
Journal:  Osteoporos Int       Date:  2005-09-17       Impact factor: 4.507

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