Literature DB >> 32539162

Grade 1 Vertebral Fractures Identified by Densitometric Lateral Spine Imaging Predict Incident Major Osteoporotic Fracture Independently of Clinical Risk Factors and Bone Mineral Density in Older Women.

Lisa Johansson1,2, Daniel Sundh1, Per Magnusson3, Komagal Rukmangatharajan4, Dan Mellström1,5, Anna G Nilsson1,6, Mattias Lorentzon1,5,7.   

Abstract

Because prevalent vertebral fracture (VF) is a strong predictor of future fractures, they are important to identify in clinical practice as osteoporosis medications are effective and can be used to reduce fracture risk in postmenopausal women with VF. Lateral spine imaging (LSI) with dual-energy X-ray absorptiometry (DXA) can be used to diagnose VFs accurately but is not widespread in clinical practice. The prognostic value of grade 1 (20% to 25% compression) VFs diagnosed by LSI with DXA has been insufficiently studied. The aim of this study was to determine if grade 1 VF is associated with incident fracture in older women. Sahlgrenska University Hospital Prospective Evaluation of Risk of Bone Fractures (SUPERB) is a population-based study of 3028 older women from Gothenburg, Sweden. Included women were 75 to 80 years of age at baseline, answered questionnaires, and were scanned with DXA (Discovery A, Hologic, Waltham, MA, USA). LSI was used to diagnose VFs, which were classified using the Genant semiquantitative method. Cox regression models were used to estimate the association between VFs at baseline and X-ray-verified incident fractures, with adjustment for confounders. Women with a grade 1 VF (n = 264) or a grade 2-3 VF (n = 349) were compared with women without any fracture (n = 1482). During 3.6 years (median, interquartile range [IQR] 1.5 years) of follow-up, 260 women had any incident fracture and 213 a major osteoporotic fracture (MOF). Women with only grade 1 VF had increased risk of any fracture (hazard ratio [HR] = 1.67; 95% confidence interval [CI] 1.18-2.36) and MOF (HR = 1.86; 95% CI 1.28-2.72). For MOF, this association remained after adjustment for clinical risk factors and femoral neck bone mineral density (BMD). In conclusion, grade 1 VFs were associated with incident MOF, also after adjustment for clinical risk factors and BMD, indicating that all VF identified by DXA should be considered in the evaluation of fracture risk in older women.
© 2020 The Authors. Journal of Bone and Mineral Research published by American Society for Bone and Mineral Research.. © 2020 The Authors. Journal of Bone and Mineral Research published by American Society for Bone and Mineral Research.

Entities:  

Keywords:  DXA; INCIDENT FRACTURE; MILD VERTEBRAL FRACTURE; OLDER WOMEN; VERTEBRAL FRACTURE ASSESSMENT

Mesh:

Year:  2020        PMID: 32539162     DOI: 10.1002/jbmr.4108

Source DB:  PubMed          Journal:  J Bone Miner Res        ISSN: 0884-0431            Impact factor:   6.741


  6 in total

1.  An update of our understanding of radiographic diagnostics for prevalent osteoporotic vertebral fracture in elderly women.

Authors:  Yì Xiáng J Wáng
Journal:  Quant Imaging Med Surg       Date:  2022-07

2.  Prevalence of Vertebral Fractures and Non-fracture Deformities in Healthy Adult Men: The Importance of Morphologic Criteria.

Authors:  S De Smet; T Banica; H G Zmierczak; S Goemaere; C Verroken; J M Kaufman; B Lapauw
Journal:  Calcif Tissue Int       Date:  2022-10-01       Impact factor: 4.000

Review 3.  Update of the fracture risk prediction tool FRAX: a systematic review of potential cohorts and analysis plan.

Authors:  L Vandenput; H Johansson; E V McCloskey; E Liu; K E Åkesson; F A Anderson; R Azagra; C L Bager; C Beaudart; H A Bischoff-Ferrari; E Biver; O Bruyère; J A Cauley; J R Center; R Chapurlat; C Christiansen; C Cooper; C J Crandall; S R Cummings; J A P da Silva; B Dawson-Hughes; A Diez-Perez; A B Dufour; J A Eisman; P J M Elders; S Ferrari; Y Fujita; S Fujiwara; C-C Glüer; I Goldshtein; D Goltzman; V Gudnason; J Hall; D Hans; M Hoff; R J Hollick; M Huisman; M Iki; S Ish-Shalom; G Jones; M K Karlsson; S Khosla; D P Kiel; W-P Koh; F Koromani; M A Kotowicz; H Kröger; T Kwok; O Lamy; A Langhammer; B Larijani; K Lippuner; D Mellström; T Merlijn; A Nordström; P Nordström; T W O'Neill; B Obermayer-Pietsch; C Ohlsson; E S Orwoll; J A Pasco; F Rivadeneira; B Schei; A-M Schott; E J Shiroma; K Siggeirsdottir; E M Simonsick; E Sornay-Rendu; R Sund; K M A Swart; P Szulc; J Tamaki; D J Torgerson; N M van Schoor; T P van Staa; J Vila; N J Wareham; N C Wright; N Yoshimura; M C Zillikens; M Zwart; N C Harvey; M Lorentzon; W D Leslie; J A Kanis
Journal:  Osteoporos Int       Date:  2022-05-31       Impact factor: 5.071

4.  Improving osteoporotic vertebral deformity detection on chest frontal view radiograph by adjusted X-ray beam positioning.

Authors:  Er-Zhu Du; Wei-Hong Liu; Yì Xiáng J Wáng
Journal:  J Orthop Translat       Date:  2021-05-05       Impact factor: 5.191

5.  A software program for automated compressive vertebral fracture detection on elderly women's lateral chest radiograph: Ofeye 1.0.

Authors:  Ben-Heng Xiao; Michael S Y Zhu; Er-Zhu Du; Wei-Hong Liu; Jian-Bing Ma; Hua Huang; Jing-Shan Gong; Davide Diacinti; Kun Zhang; Bo Gao; Heng Liu; Ri-Feng Jiang; Zhong-You Ji; Xiao-Bao Xiong; Lai-Chang He; Lei Wu; Chuan-Jun Xu; Mei-Mei Du; Xiao-Rong Wang; Li-Mei Chen; Kong-Yang Wu; Liu Yang; Mao-Sheng Xu; Daniele Diacinti; Qi Dou; Timothy Y C Kwok; Yì Xiáng J Wáng
Journal:  Quant Imaging Med Surg       Date:  2022-08

6.  Improved fracture risk prediction by adding VFA-identified vertebral fracture data to BMD by DXA and clinical risk factors used in FRAX.

Authors:  L Johansson; H Johansson; K F Axelsson; H Litsne; N C Harvey; E Liu; W D Leslie; L Vandenput; E McCloskey; J A Kanis; M Lorentzon
Journal:  Osteoporos Int       Date:  2022-04-22       Impact factor: 5.071

  6 in total

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