Literature DB >> 10813010

Development and validation of the Osteoporosis Risk Assessment Instrument to facilitate selection of women for bone densitometry.

S M Cadarette1, S B Jaglal, N Kreiger, W J McIsaac, G A Darlington, J V Tu.   

Abstract

BACKGROUND: Although mass screening for osteoporosis is not recommended among postmenopausal women, there is no consensus on which women should undergo testing for low bone mineral density. The objective of this study was to develop and validate a clinical tool to help clinicians identify which women are at increased risk for osteoporosis and should therefore undergo further testing with bone densitometry.
METHODS: Using Ontario baseline data from the Canadian Multicentre Osteoporosis Study, we identified all cognitively normal women aged 45 years or more who had undergone testing with dual-energy x-ray absorptiometry (DXA) at both the femoral neck and the lumbar spine (L1-L4). Participants who had a previous diagnosis of osteoporosis or were taking bone active medication other than ovarian hormones were excluded. The main outcome measure was low bone mineral density (T score of 2 or more standard deviations below the mean for young Canadian women) at either the femoral neck or the lumbar spine. Logistic regression analysis and receiver operating characteristic (ROC) analysis were used to identify the simplest algorithm that would identify women at increased risk for low bone mineral density.
RESULTS: The study population comprised 1376 women, of whom 926 were allocated to the development of the tool and 450 to its validation. A simple algorithm based on age, weight and current estrogen use (yes or no) was developed. Validation of this 3-item Osteoporosis Risk Assessment Instrument (ORAI) showed that the tool had a sensitivity of 93.3% (95% confidence interval [CI] 86.3%-97.0%) and a specificity of 46.4% (95% CI 41.0%-51.8%) for selecting women with low bone mineral density. The sensitivity of the instrument for selecting women with osteoporosis was 94.4% (95% CI 83.7%-98.6%). Use of the ORAI represented a 38.7% reduction in DXA testing compared with screening all women in our study.
INTERPRETATION: The ORAI accurately identifies the vast majority of women likely to have low bone mineral density and is effective in substantially decreasing the need for all women to undergo DXA testing.

Entities:  

Mesh:

Year:  2000        PMID: 10813010      PMCID: PMC1232411     

Source DB:  PubMed          Journal:  CMAJ        ISSN: 0820-3946            Impact factor:   8.262


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  95 in total

1.  Dental panoramic radiograph as a tool to detect postmenopausal women with low bone mineral density: untrained general dental practitioners' diagnostic performance.

Authors:  Takashi Nakamoto; Akira Taguchi; Masahiko Ohtsuka; Yoshikazu Suei; Minoru Fujita; Keiji Tanimoto; Mikio Tsuda; Mitsuhiro Sanada; Koso Ohama; Junichiro Takahashi; Madeleine Rohlin
Journal:  Osteoporos Int       Date:  2003-06-24       Impact factor: 4.507

Review 2.  Superiority of age and weight as variables in predicting osteoporosis in postmenopausal white women.

Authors:  Manfred Wildner; Andrea Peters; Vibhavendra S Raghuvanshi; Jörg Hohnloser; Uwe Siebert
Journal:  Osteoporos Int       Date:  2003-09-16       Impact factor: 4.507

Review 3.  Prescreening tools to determine who needs DXA.

Authors:  Elliott N Schwartz; Dee M Steinberg
Journal:  Curr Osteoporos Rep       Date:  2006-12       Impact factor: 5.096

4.  Osteoporosis case finding in the general practice: phalangeal radiographic absorptiometry with and without risk factors for osteoporosis to select postmenopausal women eligible for lumbar spine and hip densitometry.

Authors:  Katharina M Gasser; Christian Mueller; Marcel Zwahlen; Manfred Kaufmann; Gaby Fuchs; Romain Perrelet; Gilbert Abetel; Ulrich Bürgi; Kurt Lippuner
Journal:  Osteoporos Int       Date:  2005-02-12       Impact factor: 4.507

5.  Use of dental panoramic radiographs in identifying younger postmenopausal women with osteoporosis.

Authors:  Akira Taguchi; Mikio Tsuda; Masahiko Ohtsuka; Ichiro Kodama; Mitsuhiro Sanada; Takashi Nakamoto; Koji Inagaki; Toshihide Noguchi; Yoshiki Kudo; Yoshikazu Suei; Keiji Tanimoto; Anne-Marie Bollen
Journal:  Osteoporos Int       Date:  2005-12-06       Impact factor: 4.507

6.  Performance of four clinical screening tools to select peri- and early postmenopausal women for dual X-ray absorptiometry.

Authors:  B Rud; J E B Jensen; L Mosekilde; S P Nielsen; J Hilden; B Abrahamsen
Journal:  Osteoporos Int       Date:  2004-09-30       Impact factor: 4.507

7.  The relationship between social deprivation, osteoporosis, and falls.

Authors:  Derek Pearson; Rachel Taylor; Tahir Masud
Journal:  Osteoporos Int       Date:  2003-12-18       Impact factor: 4.507

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

Authors:  Tuan V Nguyen; Jacqueline R Center; Nicholas A Pocock; John A Eisman
Journal:  Osteoporos Int       Date:  2003-10-30       Impact factor: 4.507

9.  Improvement of region of interest extraction and scanning method of computer-aided diagnosis system for osteoporosis using panoramic radiographs.

Authors:  Takashi Nakamoto; Akira Taguchi; Rinus Gerardus Verdonschot; Naoya Kakimoto
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10.  Artificial neural networks in prediction of bone density among post-menopausal women.

Authors:  M Sadatsafavi; A Moayyeri; A Soltani; B Larijani; M Nouraie; S Akhondzadeh
Journal:  J Endocrinol Invest       Date:  2005-05       Impact factor: 4.256

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