Literature DB >> 11580084

A simple tool to identify asian women at increased risk of osteoporosis.

L K Koh1, W B Sedrine, T P Torralba, A Kung, S Fujiwara, S P Chan, Q R Huang, R Rajatanavin, K S Tsai, H M Park, J Y Reginster.   

Abstract

Patients with low bone mineral density (BMD) have a high risk of future fractures, and should be actively considered for treatment to reduce their risk. However, BMD measurements are not widely available in some communities, because of cost and lack of equipment. Simple questionnaires have been designed to help target high-risk women for BMD measurements, thereby avoiding the cost of measuring women at low risk. However, such tools have previously focused on evaluation of non-Asian women. We collected information about numerous risk factors from postmenopausal Asian women in eight countries in Asia using questionnaires, and evaluated the ability of these risk factors to identify women with osteoporosis as defined by femoral neck BMD T-scores < or =-2.5. Multiple variable regression analysis and item reduction yielded a final tool based on only age and body weight. This risk index had a sensitivity of 91% and specificity of 45%, with an area under the curve of 0.79. Previously published risk indices based on larger numbers of variables performed similarly well in this Asian population. Large differences in risk were identified using our index to create three categories: 61% of the high-risk women had osteoporosis, compared with only 15% and 3% of the intermediate- and low-risk women, respectively. The low-risk group represented 40% of all women, for whom BMD measurements are probably not needed unless important risk factors, such as prior nonviolent fracture or corticosteroid use, are present. An existing population-based sample of postmenopausal Japanese women was used to validate our index. In this sample of Japanese women the sensitivity was 98% and specificity was 29%; the low-risk category, for whom BMD is probably unnecessary, represented 25% of all women. We conclude that our index performed well for classifying the risk of osteoporosis among postmenopausal Asian women and applying it would result in more prudent use of BMD technology.

Entities:  

Mesh:

Year:  2001        PMID: 11580084     DOI: 10.1007/s001980170070

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


  132 in total

Review 1.  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

2.  Evaluation of three risk assessment tools in discriminating fracture status among Chinese patients undergoing hemodialysis.

Authors:  A-J Chang; Q Ying; X-N Chen; W-M Wang; N Chen
Journal:  Osteoporos Int       Date:  2016-07-08       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.  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

5.  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

Review 6.  Osteoporotic fractures in Asia: risk factors and strategies for prevention.

Authors:  Jian-min Liu; Guang Ning; Jia-lun Chen
Journal:  J Bone Miner Metab       Date:  2007-01-01       Impact factor: 2.626

7.  A nomogram for predicting osteoporosis risk based on age, weight and quantitative ultrasound measurement.

Authors:  C Pongchaiyakul; S Panichkul; T Songpatanasilp; T V Nguyen
Journal:  Osteoporos Int       Date:  2007-01-10       Impact factor: 4.507

8.  Development of a clinical assessment tool in identifying Asian men with low bone mineral density and comparison of its usefulness to quantitative bone ultrasound.

Authors:  Annie W C Kung; Andrew Y Y Ho; Philip D Ross; Jean-Yves Reginster
Journal:  Osteoporos Int       Date:  2004-12-21       Impact factor: 4.507

9.  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

10.  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
Journal:  Oral Radiol       Date:  2018-04-25       Impact factor: 1.852

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.