Comparison of four tools to identify painful new osteoporotic vertebral fractures in the postmenopausal population in Beijing

ObjectivesTo validate and compare four tools, the Fracture Risk Assessment Tool (FRAX) without bone mineral density (BMD), Beijing Friendship Hospital Osteoporosis Screening Tool (BFH-OST), Osteoporosis Self-Assessment Tool for Asians (OSTA), and BMD, to identify painful new osteoporotic vertebral f...

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Main Authors: SiJia Guo, Ning An, JiSheng Lin, ZiHan Fan, Hai Meng, Yong Yang, Qi Fei
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Endocrinology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2022.1013755/full
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author SiJia Guo
Ning An
JiSheng Lin
ZiHan Fan
Hai Meng
Yong Yang
Qi Fei
author_facet SiJia Guo
Ning An
JiSheng Lin
ZiHan Fan
Hai Meng
Yong Yang
Qi Fei
author_sort SiJia Guo
collection DOAJ
description ObjectivesTo validate and compare four tools, the Fracture Risk Assessment Tool (FRAX) without bone mineral density (BMD), Beijing Friendship Hospital Osteoporosis Screening Tool (BFH-OST), Osteoporosis Self-Assessment Tool for Asians (OSTA), and BMD, to identify painful new osteoporotic vertebral fractures (PNOVFs).MethodsA total of 2874 postmenopausal women treated from June 2013 to June 2022 were enrolled and divided into two groups: patients with PNOVFs who underwent percutaneous vertebroplasty (PNOVFs group, n = 644) and community-enrolled females (control group, n = 2230). Magnetic resonance and X-ray imaging were used to confirm the presence of PNOVFs. Dual-energy X-ray absorptiometry was performed to calculate the BMD T-scores. Osteoporosis was diagnosed according to WHO Health Organization criteria. Data on the clinical and demographic risk factors were self-reported using a questionnaire. The ability to identify PNOVFs using FRAX, BFH-OST, OSTA, and BMD scores was evaluated using receiver operating characteristic (ROC) curves. For this evaluation, we calculated the areas under the ROC curves (AUCs), sensitivity, specificity, and optimal cut-off points.ResultsThere were significant differences in FRAX (without BMD), BFH-OST, OSTA, and BMD T-scores (total hip, femoral neck, and lumbar spine) between the PNOVFs and control groups. Compared with BFH-OST, OSTA, and BMD, the FRAX score had the best identifying value for PNOVFs; the AUC of the FRAX score (optimal cutoff =3.6%) was 0.825, while the sensitivity and specificity were 82.92% and 67.09%, respectively.ConclusionFRAX may be the preferable tool for identifying PNOVFs in postmenopausal women, while BFH-OST and OSTA can be applied as more simple screening tools for PNOVFs.
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spelling doaj.art-95a618ac7d8f4f7cb88467d2144132662022-12-22T02:29:36ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922022-11-011310.3389/fendo.2022.10137551013755Comparison of four tools to identify painful new osteoporotic vertebral fractures in the postmenopausal population in BeijingSiJia GuoNing AnJiSheng LinZiHan FanHai MengYong YangQi FeiObjectivesTo validate and compare four tools, the Fracture Risk Assessment Tool (FRAX) without bone mineral density (BMD), Beijing Friendship Hospital Osteoporosis Screening Tool (BFH-OST), Osteoporosis Self-Assessment Tool for Asians (OSTA), and BMD, to identify painful new osteoporotic vertebral fractures (PNOVFs).MethodsA total of 2874 postmenopausal women treated from June 2013 to June 2022 were enrolled and divided into two groups: patients with PNOVFs who underwent percutaneous vertebroplasty (PNOVFs group, n = 644) and community-enrolled females (control group, n = 2230). Magnetic resonance and X-ray imaging were used to confirm the presence of PNOVFs. Dual-energy X-ray absorptiometry was performed to calculate the BMD T-scores. Osteoporosis was diagnosed according to WHO Health Organization criteria. Data on the clinical and demographic risk factors were self-reported using a questionnaire. The ability to identify PNOVFs using FRAX, BFH-OST, OSTA, and BMD scores was evaluated using receiver operating characteristic (ROC) curves. For this evaluation, we calculated the areas under the ROC curves (AUCs), sensitivity, specificity, and optimal cut-off points.ResultsThere were significant differences in FRAX (without BMD), BFH-OST, OSTA, and BMD T-scores (total hip, femoral neck, and lumbar spine) between the PNOVFs and control groups. Compared with BFH-OST, OSTA, and BMD, the FRAX score had the best identifying value for PNOVFs; the AUC of the FRAX score (optimal cutoff =3.6%) was 0.825, while the sensitivity and specificity were 82.92% and 67.09%, respectively.ConclusionFRAX may be the preferable tool for identifying PNOVFs in postmenopausal women, while BFH-OST and OSTA can be applied as more simple screening tools for PNOVFs.https://www.frontiersin.org/articles/10.3389/fendo.2022.1013755/fullosteoporosispostmenopausalvertebral fractureFRAXBMDBFH-OST
spellingShingle SiJia Guo
Ning An
JiSheng Lin
ZiHan Fan
Hai Meng
Yong Yang
Qi Fei
Comparison of four tools to identify painful new osteoporotic vertebral fractures in the postmenopausal population in Beijing
Frontiers in Endocrinology
osteoporosis
postmenopausal
vertebral fracture
FRAX
BMD
BFH-OST
title Comparison of four tools to identify painful new osteoporotic vertebral fractures in the postmenopausal population in Beijing
title_full Comparison of four tools to identify painful new osteoporotic vertebral fractures in the postmenopausal population in Beijing
title_fullStr Comparison of four tools to identify painful new osteoporotic vertebral fractures in the postmenopausal population in Beijing
title_full_unstemmed Comparison of four tools to identify painful new osteoporotic vertebral fractures in the postmenopausal population in Beijing
title_short Comparison of four tools to identify painful new osteoporotic vertebral fractures in the postmenopausal population in Beijing
title_sort comparison of four tools to identify painful new osteoporotic vertebral fractures in the postmenopausal population in beijing
topic osteoporosis
postmenopausal
vertebral fracture
FRAX
BMD
BFH-OST
url https://www.frontiersin.org/articles/10.3389/fendo.2022.1013755/full
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