Literature DB >> 18095065

An assessment of the use of quantitative ultrasound and the Osteoporosis Self-Assessment Tool for Asians in determining the risk of nonvertebral fracture in postmenopausal Chinese women.

Bei Tao1, Jian-min Liu, Xiao-ying Li, Ji-guang Wang, Wei-qing Wang, Guang Ning.   

Abstract

This cross-sectional study aims to assess the effectiveness of a simple, noninvasive scoring system, the Osteoporosis Self-Assessment Tool for Asians (OSTA), and quantitative bone ultrasound (QUS) in assessing nonvertebral fracture risk in Chinese postmenopausal women. A group of 513 community-dwelling women including 271 postmenopausal individuals participated in this study. Speed of sound (SOS m/s) at the radius, phalanx, and tibia were assessed by using the Omnisense prototype (Sunlight Ltd., Israel). Body height and weight were measured, and body mass index (BMI) and OSTA indices were calculated. Self-reported fractures were identified using a structured questionnaire. Phalanx SOS was significantly lower among postmenopausal women with a history of nonvertebral fracture occurred after menopause than those without (3755 m/s vs. 3841 m/s, P = 0.017, adjusted for age and weight), with an AUC of 0.66. The AUC of the OSTA for predicting nonvertebral fracture occurred after menopause was 0.64. SOS at the radius, phalanx, and tibia showed a positive correlation with OSTA index (r = 0.376-0.401, P < 0.001). The prevalence of nonvertebral fractures also increased significantly with the decreasing order of OSTA index (chi2 = 5.432, P = 0.02). The OSTA values of <or=-1 and phalanx QUS T-score of <or=-1.95 can differentiate postmenopausal nonvertebral fracture with sensitivity of 75% and 81%, respectively, and specificity of 48% and 40%, respectively. Combining OSTA and phalanx QUS yielded a sensitivity of 83% and a specificity of 84% to detect postmenopausal nonvertebral fracture, with an AUC of 0.64. We conclude that OSTA and phalanx QUS are simple and effective clinical tools for identifying postmenopausal women at increased risk of nonvertebral fractures and can thereby facilitate the appropriate and more cost-effective use of bone densitometry to prevent osteoporotic fractures in developing countries.

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Year:  2008        PMID: 18095065     DOI: 10.1007/s00774-007-0798-0

Source DB:  PubMed          Journal:  J Bone Miner Metab        ISSN: 0914-8779            Impact factor:   2.626


  39 in total

1.  Discriminatory ability of quantitative ultrasound parameters and bone mineral density in a population-based sample of postmenopausal women with vertebral fractures: results of the Basel Osteoporosis Study.

Authors:  F Hartl; A Tyndall; M Kraenzlin; C Bachmeier; C Gückel; U Senn; D Hans; R Theiler
Journal:  J Bone Miner Res       Date:  2002-02       Impact factor: 6.741

2.  Hip fracture in women without osteoporosis.

Authors:  Stacey A Wainwright; Lynn M Marshall; Kristine E Ensrud; Jane A Cauley; Dennis M Black; Teresa A Hillier; Marc C Hochberg; Molly T Vogt; Eric S Orwoll
Journal:  J Clin Endocrinol Metab       Date:  2005-02-22       Impact factor: 5.958

3.  Mortality after all major types of osteoporotic fracture in men and women: an observational study.

Authors:  J R Center; T V Nguyen; D Schneider; P N Sambrook; J A Eisman
Journal:  Lancet       Date:  1999-03-13       Impact factor: 79.321

4.  Do ultrasound measurements on the os calcis reflect more the bone microarchitecture than the bone mass?: a two-dimensional histomorphometric study.

Authors:  D Hans; M E Arlot; A M Schott; J P Roux; P O Kotzki; P J Meunier
Journal:  Bone       Date:  1995-03       Impact factor: 4.398

5.  Cross-sectional geometrical properties and bone mineral contents of the human radius and ulna.

Authors:  E S Hsu; A G Patwardhan; K P Meade; T R Light; W R Martin
Journal:  J Biomech       Date:  1993-11       Impact factor: 2.712

6.  Reference curve and diagnostic sensitivity for a new ultrasound device for the phalanges [correction of phalanages], the DBMsonic 1200, in Belgian women.

Authors:  J Joly; R Westhovens; H Borghs; H Peeters; J Tirry; J Nijs; J Dequeker
Journal:  Osteoporos Int       Date:  1999       Impact factor: 4.507

7.  Does combining the results from multiple bone sites measured by a new quantitative ultrasound device improve discrimination of hip fracture?

Authors:  D Hans; S K Srivastav; C Singal; R Barkmann; C F Njeh; E Kantorovich; C C Glüer; H K Genant
Journal:  J Bone Miner Res       Date:  1999-04       Impact factor: 6.741

8.  Discriminative capacity of calcaneal quantitative ultrasound and of osteoporosis and fracture risk factors in postmenopausal women with osteoporotic fractures.

Authors:  J L Hernández; F Marin; J González-Macías; A Díez-Pérez; J Vila; S Giménez; B Galán; M S Arenas; F Suárez; L Gayola; G Guillén; T Sagredo; R Belenguer; A Moron; E Arriaza
Journal:  Calcif Tissue Int       Date:  2004-04       Impact factor: 4.333

9.  Relation between body size and bone mineral density in elderly men and women.

Authors:  S L Edelstein; E Barrett-Connor
Journal:  Am J Epidemiol       Date:  1993-08-01       Impact factor: 4.897

10.  Ultrasound measurements at the proximal phalanges in healthy women and patients with hip fractures.

Authors:  F E Alenfeld; C Wüster; C Funck; J F Pereira-Lima; T Fritz; P J Meeder; R Ziegler
Journal:  Osteoporos Int       Date:  1998       Impact factor: 4.507

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  8 in total

1.  Diagnostic value of osteoporosis self-assessment tool for Asians (OSTA) and quantitative bone ultrasound (QUS) in detecting high-risk populations for osteoporosis among elderly Chinese men.

Authors:  Xiao-Yun Zha; Yu Hu; Xiao-Na Pang; Gui-Lin Chang; Li Li
Journal:  J Bone Miner Metab       Date:  2014-04-20       Impact factor: 2.626

2.  Multisite quantitative ultrasound for the prediction of fractures over 5 years of follow-up: the Canadian Multicentre Osteoporosis Study.

Authors:  Wojciech P Olszynski; Jacques P Brown; Jonathan D Adachi; David A Hanley; George Ioannidis; Kenneth S Davison
Journal:  J Bone Miner Res       Date:  2013-09       Impact factor: 6.741

3.  Validation of an osteoporosis self-assessment tool to identify primary osteoporosis and new osteoporotic vertebral fractures in postmenopausal Chinese women in Beijing.

Authors:  Yong Yang; Bingqiang Wang; Qi Fei; Qian Meng; Dong Li; Hai Tang; Jinjun Li; Nan Su
Journal:  BMC Musculoskelet Disord       Date:  2013-09-22       Impact factor: 2.362

4.  Evaluation of Singh Index and Osteoporosis Self-Assessment Tool for Asians as risk assessment tools of hip fracture in patients with type 2 diabetes mellitus.

Authors:  Zhenyu Liu; Hua Gao; Xiaodong Bai; Liang Zhao; Yadong Li; Baojun Wang
Journal:  J Orthop Surg Res       Date:  2017-03-03       Impact factor: 2.359

Review 5.  Performance of Osteoporosis Self-Assessment Tool (OST) in Predicting Osteoporosis-A Review.

Authors:  Shaanthana Subramaniam; Soelaiman Ima-Nirwana; Kok-Yong Chin
Journal:  Int J Environ Res Public Health       Date:  2018-07-09       Impact factor: 3.390

6.  Evaluation of community-based screening tools for the early screening of osteoporosis in postmenopausal Vietnamese women.

Authors:  My Hanh Bui; Phuoc Thang Dao; Quynh Long Khuong; Phuong-Anh Le; Thuy-Trang Thi Nguyen; Gia Du Hoang; Tu Hoang Le; Hoai Thu Pham; Hong-Xuyen Thi Hoang; Quang Cuong Le; Xuan Thanh Dao
Journal:  PLoS One       Date:  2022-04-05       Impact factor: 3.240

7.  Association of calcaneal quantitative ultrasound parameters with metabolic syndrome in middle-aged and elderly Chinese: a large population-based cross-sectional study.

Authors:  Min Sun; Mengdie Cao; Qi Fu; Zhenxin Zhu; Chuchen Meng; Jia Mao; Yun Shi; Yu Duan; Wei Tang; Xiaoping Huang; Wei He; Tao Yang
Journal:  BMC Endocr Disord       Date:  2014-02-14       Impact factor: 2.763

8.  Increased fragility fracture risk in Korean women who snore: a 10-year population-based prospective cohort study.

Authors:  Soo Beom Choi; Il Suk Lyu; Wanhyung Lee; Deok Won Kim
Journal:  BMC Musculoskelet Disord       Date:  2017-05-31       Impact factor: 2.362

  8 in total

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