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Development of prediction model for osteoporotic vertebral compression fracture screening without using clinical risk factors, compared with FRAX and other previous models

dc.contributor.authorPongsthorn Chanplakornen_US
dc.contributor.authorThamrong Lertudomphonwaniten_US
dc.contributor.authorNuttorn Daraphongsatapornen_US
dc.contributor.authorChanika Sritaraen_US
dc.contributor.authorSuphaneewan Jaovisidhaen_US
dc.contributor.authorPaphon Sa-Ngasoongsongen_US
dc.contributor.otherFaculty of Medicine Ramathibodi Hospital, Mahidol Universityen_US
dc.contributor.otherNan Hospitalen_US
dc.date.accessioned2022-08-04T09:03:56Z
dc.date.available2022-08-04T09:03:56Z
dc.date.issued2021-12-01en_US
dc.description.abstractSummary: This study developed a prediction model to assess the need for asymptomatic osteoporotic vertebral compression fracture (OVCF) screening in women without using clinical risk factors. Our results demonstrated that the combination of age, height loss, and femoral neck T-score can predict OVCF comparable to previous models, including FRAX. Purpose: Osteoporotic vertebral compression fracture (OVCF) is a major fracture in osteoporosis patients. Early detection of OVCF can reduce the risk of subsequent fractures and death. Many existing diagnostic tools can screen for the risk of osteoporotic fracture but none aim to identify OVCF. The objective of this research is to study a predictive model for capturing OVCF and compare it with previous models. Methods: A retrospective review was conducted that included women aged ≥ 50 years who underwent dual-energy X-ray absorptiometry and vertebral fracture screening between 2012 and 2019. The data included age, height, weight, history of height loss (HHL), and bone mass density (BMD). Receiver operating characteristic analysis and univariate and multivariate logistic regression were performed. The predictive OVCF model was formulated, and the result was compared to other models. Results: A total of 617 women, a 179 of which had OVCFs, were eligible for analysis. Multivariate regression analysis showed age > 65, height loss > 1.5 cm, and femoral neck T-score < -1.7 as independent risk factors for OVCF. This model revealed comparable performance with FRAX. The model without BMD revealed superior performance to FRAX and other standard osteoporosis assessment models. Conclusions: BMD and vertebral fracture screening should be eligible for individual women age > 65 years with an HHL more than 1.5 cm, regardless of BMD. Vertebral fracture assessment should be additionally conducted on these women with a femoral neck T-score less than -1.7.en_US
dc.identifier.citationArchives of Osteoporosis. Vol.16, No.1 (2021)en_US
dc.identifier.doi10.1007/s11657-021-00957-yen_US
dc.identifier.issn18623514en_US
dc.identifier.issn18623522en_US
dc.identifier.other2-s2.0-85107116416en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/77579
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85107116416&origin=inwarden_US
dc.subjectMedicineen_US
dc.titleDevelopment of prediction model for osteoporotic vertebral compression fracture screening without using clinical risk factors, compared with FRAX and other previous modelsen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85107116416&origin=inwarden_US

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