{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,27]],"date-time":"2026-09-27T02:19:49Z","timestamp":1790475589319,"version":"4.1.0"},"reference-count":33,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2010,4,30]],"date-time":"2010-04-30T00:00:00Z","timestamp":1272585600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010,5,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>The aim of this prospective study was (1) to identify significant and independent clinical risk factors (CRFs) for major osteoporotic (OP) fracture among peri- and early postmenopausal women, (2) to assess, in this population, the discriminatory capacity of FRAX and bone mineral density (BMD) for the identification of women at high risk of fracture, and (3) to assess whether adding risk factors to either FRAX or BMD would improve discriminatory capacity. The study population included 2651 peri- and early postmenopausal women [mean age (\u00b1 SD): 54\u2009\u00b1\u20094 years] with a mean follow-up period of 13.4 years (\u00b11.4 years). At baseline, a large set of CRFs was recorded, and vertebral BMD was measured (Lunar, DPX) in all women. Femoral neck BMD also was measured in 1399 women in addition to spine BMD. Women with current or past OP treatment for more than 3 months at baseline (n\u2009=\u2009454) were excluded from the analyses. Over the follow-up period, 415 women sustained a first low-energy fracture, including 145 major OP fractures (108 wrist, 44 spine, 20 proximal humerus, and 13 hip). In Cox multivariate regression models, only 3 CRFs were significant predictors of a major OP fracture independent of BMD and age: a personal history of fracture, three or more pregnancies, and current postmenopausal hormone therapy. In the subsample of women who had a hip BMD measurement and who were not receiving OP therapy (including hormone-replacement therapy) at baseline, mean FRAX value was 3.8% (\u00b12.4%). The overall discriminative value for fracture, as measured by the area under the Receiver Operating Characteristic (ROC) curve (AUC), was equal to 0.63 [95% confidence interval (CI) 0.56\u20130.69] and 0.66 (95% CI 0.60\u20130.73), respectively, for FRAX and hip BMD. Sensitivity of both tools was low (ie, around 50% for 30% of the women classified as the highest risk). Adding parity to the predictive model including FRAX or using a simple risk score based on the best predictive model in our population did not significantly improve the discriminatory capacity over BMD alone. Only a limited number of clinical risk factors were found associated with the risk of major OP fracture in peri- and early postmenopausal women. In this population, the FRAX tool, like other risk scores combining CRFs to either BMD or FRAX, had a poor sensitivity for fracture prediction and did not significantly improve the discriminatory value of hip BMD alone. \u00a9 2010 American Society for Bone and Mineral Research<\/jats:p>","DOI":"10.1002\/jbmr.12","type":"journal-article","created":{"date-parts":[[2010,2,1]],"date-time":"2010-02-01T11:39:27Z","timestamp":1265024367000},"page":"1002-1009","source":"Crossref","is-referenced-by-count":179,"title":["Fracture risk prediction using BMD and clinical risk factors in early postmenopausal women: Sensitivity of the WHO FRAX tool"],"prefix":"10.1093","volume":"25","author":[{"given":"Florence A","family":"Tr\u00e9mollieres","sequence":"first","affiliation":[{"name":"Universit\u00e9 de Toulouse, Institut de M\u00e9decine Mol\u00e9culaire de Rangueil, Toulouse, France"},{"name":"Unit\u00e9 INSERM U588\/I2MR, Toulouse, France"},{"name":"Menopause Center, H\u00f4pital Paule de Viguier, Toulouse, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jean-Michel","family":"Pouill\u00e8s","sequence":"additional","affiliation":[{"name":"Menopause Center, H\u00f4pital Paule de Viguier, Toulouse, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicolas","family":"Drewniak","sequence":"additional","affiliation":[{"name":"UPMC Universit\u00e9 de Paris 06, UMR S953, Paris, France"},{"name":"Unit\u00e9 INSERM UMR S953, IFR 69, Villejuif, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jacques","family":"Laparra","sequence":"additional","affiliation":[{"name":"Menopause Center, H\u00f4pital Paule de Viguier, Toulouse, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Claude A","family":"Ribot","sequence":"additional","affiliation":[{"name":"Universit\u00e9 de Toulouse, Institut de M\u00e9decine Mol\u00e9culaire de Rangueil, Toulouse, France"},{"name":"Unit\u00e9 INSERM U588\/I2MR, Toulouse, France"},{"name":"Menopause Center, H\u00f4pital Paule de Viguier, Toulouse, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Patricia","family":"Dargent-Molina","sequence":"additional","affiliation":[{"name":"UPMC Universit\u00e9 de Paris 06, UMR S953, Paris, France"},{"name":"Unit\u00e9 INSERM UMR S953, IFR 69, Villejuif, France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2010,4,30]]},"reference":[{"key":"2024020320152012200_bib1","doi-asserted-by":"crossref","first-page":"1137","DOI":"10.1002\/jbmr.5650090802","article-title":"The diagnosis of osteoporosis","volume":"9","author":"Kanis","year":"2004","journal-title":"J Bone Miner Res."},{"key":"2024020320152012200_bib2","doi-asserted-by":"crossref","first-page":"390","DOI":"10.1007\/BF01623782","article-title":"on behalf of the European Foundation for Osteoporosis and Bone Disease. 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