Cargando…
Comparison of three tools for predicting primary osteoporosis in an elderly male population in Beijing: a cross-sectional study
PURPOSE: In this cross-sectional study, three clinical tools, the Osteoporosis Self-Assessment Tool for Asians (OSTA), Fracture Risk Assessment Tool (FRAX) without bone mineral density (BMD), and body mass index (BMI), for predicting primary osteoporosis (OP) were compared and ideal thresholds for o...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5798543/ https://www.ncbi.nlm.nih.gov/pubmed/29440880 http://dx.doi.org/10.2147/CIA.S145741 |
_version_ | 1783297859548872704 |
---|---|
author | Zhang, XiaoDong Lin, JiSheng Yang, Yong Wu, Hao Li, Yongjin Yang, Xiuquan Fei, Qi |
author_facet | Zhang, XiaoDong Lin, JiSheng Yang, Yong Wu, Hao Li, Yongjin Yang, Xiuquan Fei, Qi |
author_sort | Zhang, XiaoDong |
collection | PubMed |
description | PURPOSE: In this cross-sectional study, three clinical tools, the Osteoporosis Self-Assessment Tool for Asians (OSTA), Fracture Risk Assessment Tool (FRAX) without bone mineral density (BMD), and body mass index (BMI), for predicting primary osteoporosis (OP) were compared and ideal thresholds for omission of screening BMD were proposed in a community-dwelling elderly Han Beijing male population. PATIENTS AND METHODS: A total of 1,349 community-dwelling elderly Han Beijing males aged ≥50 years were enrolled in this study. All subjects completed a questionnaire and measured BMD by dual-energy X-ray absorptiometry (DXA). Osteoporosis was defined as a T-score of −2.5 SD or lower than that of the average young adult in different diagnostic criteria (lumbar spine [L1–L4], femoral neck, total hip, worst hip, and World Health Organization [WHO]). FRAX without BMD, OSTA, and BMI were assessed for predicting OP by receiver operating characteristic (ROC) curves. Sensitivity, specificity, and areas under the ROC curves (AUCs) were determined. Ideal thresholds for omission of screening BMD were proposed. RESULTS: The prevalence of OP ranged from 1.8% to 12.8% according to different diagnostic criteria. This study showed that the BMI has highest discriminating ability. The AUC of FRAX without BMD ranged from 0.536 to 0.630, which suggested limiting predictive value for identifying OP in elderly Beijing male. The AUCs of BMI (0.801–0.880) were slightly better than OSTA (0.722–0.874) in predicting OP at all sites. The AUC of BMI to identify OP in worst hip was 0.824, yielding a sensitivity of 84.8% and a specificity of 64.4%. 40% of participants on BMD measurements saved only 0.1%–2.7% missed OP. Compared to OSTA and FRAX without BMD, the BMI got the best predictive value for OP. CONCLUSION: BMI may be a simple and effective tool for identifying OP in the elderly male population in Beijing to omit BMD screening reasonably. |
format | Online Article Text |
id | pubmed-5798543 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-57985432018-02-13 Comparison of three tools for predicting primary osteoporosis in an elderly male population in Beijing: a cross-sectional study Zhang, XiaoDong Lin, JiSheng Yang, Yong Wu, Hao Li, Yongjin Yang, Xiuquan Fei, Qi Clin Interv Aging Original Research PURPOSE: In this cross-sectional study, three clinical tools, the Osteoporosis Self-Assessment Tool for Asians (OSTA), Fracture Risk Assessment Tool (FRAX) without bone mineral density (BMD), and body mass index (BMI), for predicting primary osteoporosis (OP) were compared and ideal thresholds for omission of screening BMD were proposed in a community-dwelling elderly Han Beijing male population. PATIENTS AND METHODS: A total of 1,349 community-dwelling elderly Han Beijing males aged ≥50 years were enrolled in this study. All subjects completed a questionnaire and measured BMD by dual-energy X-ray absorptiometry (DXA). Osteoporosis was defined as a T-score of −2.5 SD or lower than that of the average young adult in different diagnostic criteria (lumbar spine [L1–L4], femoral neck, total hip, worst hip, and World Health Organization [WHO]). FRAX without BMD, OSTA, and BMI were assessed for predicting OP by receiver operating characteristic (ROC) curves. Sensitivity, specificity, and areas under the ROC curves (AUCs) were determined. Ideal thresholds for omission of screening BMD were proposed. RESULTS: The prevalence of OP ranged from 1.8% to 12.8% according to different diagnostic criteria. This study showed that the BMI has highest discriminating ability. The AUC of FRAX without BMD ranged from 0.536 to 0.630, which suggested limiting predictive value for identifying OP in elderly Beijing male. The AUCs of BMI (0.801–0.880) were slightly better than OSTA (0.722–0.874) in predicting OP at all sites. The AUC of BMI to identify OP in worst hip was 0.824, yielding a sensitivity of 84.8% and a specificity of 64.4%. 40% of participants on BMD measurements saved only 0.1%–2.7% missed OP. Compared to OSTA and FRAX without BMD, the BMI got the best predictive value for OP. CONCLUSION: BMI may be a simple and effective tool for identifying OP in the elderly male population in Beijing to omit BMD screening reasonably. Dove Medical Press 2018-02-02 /pmc/articles/PMC5798543/ /pubmed/29440880 http://dx.doi.org/10.2147/CIA.S145741 Text en © 2018 Zhang et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. |
spellingShingle | Original Research Zhang, XiaoDong Lin, JiSheng Yang, Yong Wu, Hao Li, Yongjin Yang, Xiuquan Fei, Qi Comparison of three tools for predicting primary osteoporosis in an elderly male population in Beijing: a cross-sectional study |
title | Comparison of three tools for predicting primary osteoporosis in an elderly male population in Beijing: a cross-sectional study |
title_full | Comparison of three tools for predicting primary osteoporosis in an elderly male population in Beijing: a cross-sectional study |
title_fullStr | Comparison of three tools for predicting primary osteoporosis in an elderly male population in Beijing: a cross-sectional study |
title_full_unstemmed | Comparison of three tools for predicting primary osteoporosis in an elderly male population in Beijing: a cross-sectional study |
title_short | Comparison of three tools for predicting primary osteoporosis in an elderly male population in Beijing: a cross-sectional study |
title_sort | comparison of three tools for predicting primary osteoporosis in an elderly male population in beijing: a cross-sectional study |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5798543/ https://www.ncbi.nlm.nih.gov/pubmed/29440880 http://dx.doi.org/10.2147/CIA.S145741 |
work_keys_str_mv | AT zhangxiaodong comparisonofthreetoolsforpredictingprimaryosteoporosisinanelderlymalepopulationinbeijingacrosssectionalstudy AT linjisheng comparisonofthreetoolsforpredictingprimaryosteoporosisinanelderlymalepopulationinbeijingacrosssectionalstudy AT yangyong comparisonofthreetoolsforpredictingprimaryosteoporosisinanelderlymalepopulationinbeijingacrosssectionalstudy AT wuhao comparisonofthreetoolsforpredictingprimaryosteoporosisinanelderlymalepopulationinbeijingacrosssectionalstudy AT liyongjin comparisonofthreetoolsforpredictingprimaryosteoporosisinanelderlymalepopulationinbeijingacrosssectionalstudy AT yangxiuquan comparisonofthreetoolsforpredictingprimaryosteoporosisinanelderlymalepopulationinbeijingacrosssectionalstudy AT feiqi comparisonofthreetoolsforpredictingprimaryosteoporosisinanelderlymalepopulationinbeijingacrosssectionalstudy |