Fracture risk prediction: importance of age, BMD and spine fracture status

BoneKEy reports, 2, 404

DOI 10.1038/bonekey.2013.138 PMID 24228164 Source

Abstract

Our purpose was to identify factors for a parsimonious fracture risk assessment model considering morphometric spine fracture status, femoral neck bone mineral density (BMD) and the World Health Organization (WHO) clinical risk factors. Using data from 2761 subjects from the Canadian Multicentre Osteoporosis Study (CaMos), a prospective, longitudinal cohort study of randomly selected community-dwelling men and women aged ⩾50 years, we previously reported that a logistic regression model considering age, BMD and spine fracture status provided as much predictive information as a model considering these factors plus the remaining WHO clinical risk factors. The current analysis assesses morphometric vertebral fracture and/or nonvertebral fragility fracture at 5 years using data from an additional 1964 CaMos subjects who have now completed 5 years of follow-up (total N=4725). Vertebral fractures were identified from lateral spine radiographs assessed using quantititative morphometry at baseline and end point. Nonvertebral fragility fractures were determined by questionnaire and confirmed using radiographs or medical records; fragility fracture was defined as occurring with minimal or no trauma. In this analysis, a model including age, BMD and spine fracture status provided a gradient of risk per s.d. (GR/s.d.) of 1.88 and captured most of the predictive information of a model including morphometric spine fracture status, BMD and all WHO clinical risk factors (GR/s.d. 1.92). For comparison, this model provided more information than a model considering BMD and the WHO clinical risk factors (GR/s.d. 1.74). These findings confirm the value of age, BMD and spine fracture status for predicting fracture risk.

Topics

bone mineral density fracture risk prediction, osteoporosis risk assessment postmenopausal, vertebral fracture prediction model, femoral neck bmd fracture risk, fragility fracture risk factors women, quantitative morphometry spine fractures, bone density age fracture prediction, osteoporosis screening postmenopausal women

Cite this article

John H Krege, Xiaohai Wan, Brian C Lentle, Claudie Berger, Lisa Langsetmo, Jonathan D Adachi, Jerilynn C Prior, Alan Tenenhouse, Jacques P Brown, Nancy Kreiger, Wojciech P Olszynski, Robert G Josse, & David Goltzman (2013). Fracture risk prediction: importance of age, BMD and spine fracture status. *BoneKEy reports*, *2*, 404. https://doi.org/10.1038/bonekey.2013.138

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