Age as a Predictor of Osteoporotic Fracture Compared with Current Risk-Prediction Models
Document Type
Article
Publication Date
11-1-2013
Abstract
OBJECTIVE: To compare several fracture risk-prediction models and their predictive values.
METHODS: Women older than age 49 years were sent for dual-energy X-ray absorptiometry screening between January 2007 and March 2009. Data collection included multiple osteoporosis risk factors. The ability to identify fractures was analyzed and compared using the North American Menopause Society 2006 and 2010 Position Statements, The Fracture Risk Assessment Tool, along with age alone. The area under the curve (AUC) comparison with chance (AUC 0.50) and paired AUC comparisons between models were used to investigate the efficacy of each model in predicting osteoporotic fractures.
RESULTS: Among the 615 women studied, with mean (standard deviation) age of 61.4 (8.3) years and 94.5% being white, 15 have experienced a fracture. All screening approaches were significantly better than chance at predicting fractures. Paired comparisons of the detection ability of fracture prediction models showed no significant differences. Age alone was a significant predictor for fracture (AUC 0.79, 95% confidence interval [CI] 0.67-0.91, P
CONCLUSION: These data suggest that all current screening modalities are effective in predicting fracture but not significantly better than age alone. Age should be considered carefully while evaluating patients for osteoporosis screening and treatment.
LEVEL OF EVIDENCE: II.
Publication Title
Obstetrics & Gynecology
Volume
122
Issue
5
First Page
1040
Last Page
1046
PubMed ID
24104773
Recommended Citation
Jiang, Xuezhi; Westermann, Lauren B.; Galleo, Gabriella V.; Demko, John; Marakovits, Kimberly A.; and Schnatz, Peter F., "Age as a Predictor of Osteoporotic Fracture Compared with Current Risk-Prediction Models" (2013). PCOM Scholarly Works. 141.
https://digitalcommons.pcom.edu/scholarly_papers/141
Comments
This article was published in Obstetrics & Gynecology, Volume 122, Issue 5, November 2013, Pages 1040-6.
The published version is available at http://dx.doi.org/10.1097/AOG.0b013e3182a7e29b
Copyright © 2013 by the American College of Obstetricians and Gynecologists