Literature DB >> 24748148

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.

Xiao-Yun Zha1, Yu Hu, Xiao-Na Pang, Gui-Lin Chang, Li Li.   

Abstract

This study aims to evaluate an osteoporosis self-assessment tool for Asians (OSTA) and quantitative bone ultrasound (QUS) and their combination in detecting populations at high risk for osteoporosis, and to determine the best cutoff value for the diagnosis of osteoporosis among elderly Chinese men. A group of Chinese men, aged ≥ 60 years, recruited from the health checkup population of Zhongshan Hospital, Fudan University, were included. The OSTA index was calculated from age and weight. Bone mineral density (BMD) at left hip (femoral neck, internal, and total hip) and lumbar spine (L1-L4, L-Total) was measured with dual-energy X-ray absorptiometry (DXA), and calcaneal BMD was measured with QUS. Receiver operating characteristic analysis was used to determine the best cutoff values, sensitivity, and specificity. The area under the curve (AUC) between the different screening tools was compared. Our study included 472 men with mean age of 78.0 years. The prevalence of osteoporosis was 27.7%.The best cutoff for OSTA was -3.5 for predicting men with osteoporosis at any site; this yielded a sensitivity and specificity of 47.3% and 76.8%, respectively. The AUC for OSTA was 0.676. The optimal cutoff for QUS-T score was -1.25, with a sensitivity of 80.4% and specificity of 59.7%. The AUC for QUS-T score was 0.762. Combining QUS with OSTA improved the specificity to 92.9% but reduced sensitivity to 36.1%. A new variable derived from a combination of OSTA and the QUS-T score gave a better performance, with sensitivity of 70.1% and specificity of 72.1%; the AUC for this variable was 0.771, which was greater than OSTA but not different from QUS alone. In conclusion, OSTA and QUS, respectively, and their combination may help find populations at high risk for osteoporosis, which could be an alternative method for diagnosing osteoporosis, especially in areas where DXA measurement is not accessible.

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Year:  2014        PMID: 24748148     DOI: 10.1007/s00774-014-0587-5

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


  27 in total

1.  2010 clinical practice guidelines for the diagnosis and management of osteoporosis in Canada: summary.

Authors:  Alexandra Papaioannou; Suzanne Morin; Angela M Cheung; Stephanie Atkinson; Jacques P Brown; Sidney Feldman; David A Hanley; Anthony Hodsman; Sophie A Jamal; Stephanie M Kaiser; Brent Kvern; Kerry Siminoski; William D Leslie
Journal:  CMAJ       Date:  2010-10-12       Impact factor: 8.262

2.  Prediction of hip fracture risk by quantitative ultrasound in more than 7000 Swiss women > or =70 years of age: comparison of three technologically different bone ultrasound devices in the SEMOF study.

Authors:  Marc-Antoine Krieg; Jacques Cornuz; Christiane Ruffieux; Guy Van Melle; Daniel Büche; Maximilian A Dambacher; Didier Hans; Florian Hartl; Hansjorg J Häuselmann; Marius Kraenzlin; Kurt Lippuner; Maurus Neff; Pierro Pancaldi; Rene Rizzoli; Franco Tanzi; Robert Theiler; Alan Tyndall; Claus Wimpfheimer; Peter Burckhardt
Journal:  J Bone Miner Res       Date:  2006-09       Impact factor: 6.741

Review 3.  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

4.  Influence of anthropometric parameters on ultrasound measurements of Os calcis.

Authors:  D Hans; A M Schott; M E Arlot; E Sornay; P D Delmas; P J Meunier
Journal:  Osteoporos Int       Date:  1995       Impact factor: 4.507

5.  Validation of OSTA among Filipinos.

Authors:  Julie T Li-Yu; Lyndon J Q Llamado; Tito P Torralba
Journal:  Osteoporos Int       Date:  2005-07-19       Impact factor: 4.507

6.  Development and validation of osteoporosis risk-assessment model for Korean postmenopausal women.

Authors:  Sun Min Oh; Byung-Ho Nam; Yumie Rhee; Seong-Hwan Moon; Deog Young Kim; Dae Ryong Kang; Hyeon Chang Kim
Journal:  J Bone Miner Metab       Date:  2013-02-19       Impact factor: 2.626

7.  Prevention and management of osteoporosis.

Authors: 
Journal:  World Health Organ Tech Rep Ser       Date:  2003

8.  Performance of decision algorithms for the identification of low bone mineral density in Portuguese postmenopausal women.

Authors:  Pedro Machado; José António Pereira da Silva
Journal:  Acta Reumatol Port       Date:  2008 Jul-Sep       Impact factor: 1.290

9.  Evaluation of decision rules for identifying low bone density in postmenopausal African-American women.

Authors:  Lorraine Silver Wallace; Joyce E Ballard; David Holiday; Lori W Turner; Amy J Keenum; Cynthia M Pearman
Journal:  J Natl Med Assoc       Date:  2004-03       Impact factor: 1.798

10.  Development and validation of the osteoporosis prescreening risk assessment (OPERA) tool to facilitate identification of women likely to have low bone density.

Authors:  Fausto Salaffi; Ferdinando Silveri; Andrea Stancati; Walter Grassi
Journal:  Clin Rheumatol       Date:  2004-11-12       Impact factor: 2.980

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  15 in total

1.  Correlation between the combination of apparent integrated backscatter-spectral centroid shift and bone mineral density.

Authors:  Tao Tang; Chengcheng Liu; Feng Xu; Dean Ta
Journal:  J Med Ultrason (2001)       Date:  2016-01-11       Impact factor: 1.314

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.  Systematic review and meta-analysis of the performance of clinical risk assessment instruments for screening for osteoporosis or low bone density.

Authors:  S Nayak; D L Edwards; A A Saleh; S L Greenspan
Journal:  Osteoporos Int       Date:  2015-02-03       Impact factor: 4.507

4.  [Evaluation of screening accuracy on osteoporosis self-assessment tool for Asians and its cut-off value in healthy physical examination population].

Authors:  P Wang; H Wu; Y Che; D W Fan; J Liu; L Y Tao
Journal:  Beijing Da Xue Xue Bao Yi Xue Ban       Date:  2019-12-18

5.  What is changed in the diagnosis of osteoporosis: the role of radiologists.

Authors:  Giuseppe Guglielmi; Rosario Francesco Balzano; Xiaoguang Cheng
Journal:  Quant Imaging Med Surg       Date:  2018-02

6.  The ability of calcaneal and multisite quantitative ultrasound variables in the identification of osteoporosis in women and men.

Authors:  Aydan Oral; Sina Esmaeilzadeh; Ayşe Yalıman; Dilşad Sindel; Pınar Kürsüz Köseoğlu; Tuğba Aydın
Journal:  Turk J Phys Med Rehabil       Date:  2019-07-30

7.  Calcaneal quantitative ultrasound has a role in out ruling low bone mineral density in axial spondyloarthropathy.

Authors:  Gillian E Fitzgerald; Tochukwu Anachebe; Kevin G McCarroll; Finbar O'Shea
Journal:  Clin Rheumatol       Date:  2020-01-17       Impact factor: 2.980

8.  Comparison of OSTA, FRAX and BMI for Predicting Postmenopausal Osteoporosis in a Han Population in Beijing: A Cross Sectional Study.

Authors:  Zihan Fan; Xiaoyu Li; Xiaodong Zhang; Yong Yang; Qi Fei; Ai Guo
Journal:  Clin Interv Aging       Date:  2020-07-17       Impact factor: 4.458

9.  The Assessment of the Osteoporosis Self-Assessment Tool for Asians and Calcaneal Quantitative Ultrasound in Identifying Osteoporotic Fractures and Falls Among Chinese People.

Authors:  Chao Gao; Huijiang Song; Bihua Chen; Zhenlin Zhang; Hua Yue
Journal:  Front Endocrinol (Lausanne)       Date:  2021-05-10       Impact factor: 5.555

10.  Comparisons of Different Screening Tools for Identifying Fracture/Osteoporosis Risk Among Community-Dwelling Older People.

Authors:  Sy-Jou Chen; Yi-Ju Chen; Chui-Hsuan Cheng; Hei-Fen Hwang; Chih-Yi Chen; Mau-Roung Lin
Journal:  Medicine (Baltimore)       Date:  2016-05       Impact factor: 1.889

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