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      FRAX®: Prediction of Major Osteoporotic Fractures in Women from the General Population: The OPUS Study

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          Abstract

          Purposes

          The aim of this study was to analyse how well FRAX® predicts the risk of major osteoporotic and vertebral fractures over 6 years in postmenopausal women from general population.

          Patients and methods

          The OPUS study was conducted in European women aged above 55 years, recruited in 5 centers from random population samples and followed over 6 years. The population for this study consisted of 1748 women (mean age 74.2 years) with information on incident fractures. 742 (43.1%) had a prevalent fracture; 769 (44%) and 155 (8.9%) of them received an antiosteoporotic treatment before and during the study respectively. We compared FRAX® performance with and without bone mineral density (BMD) using receiver operator characteristic (ROC) c-statistical analysis with ORs and areas under receiver operating characteristics curves (AUCs) and net reclassification improvement (NRI).

          Results

          85 (4.9%) patients had incident major fractures over 6 years. FRAX® with and without BMD predicted these fractures with an AUC of 0.66 and 0.62 respectively. The AUC were 0.60, 0.66, 0.69 for history of low trauma fracture alone, age and femoral neck (FN) BMD and combination of the 3 clinical risk factors, respectively. FRAX® with and without BMD predicted incident radiographic vertebral fracture (n = 65) with an AUC of 0.67 and 0.65 respectively. NRI analysis showed a significant improvement in risk assignment when BMD is added to FRAX®.

          Conclusions

          This study shows that FRAX® with BMD and to a lesser extent also without FN BMD predict major osteoporotic and vertebral fractures in the general population.

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          Most cited references27

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          Meta-analysis of how well measures of bone mineral density predict occurrence of osteoporotic fractures.

          To determine the ability of measurements of bone density in women to predict later fractures. Meta-analysis of prospective cohort studies published between 1985 and end of 1994 with a baseline measurement of bone density in women and subsequent follow up for fractures. For comparative purposes, we also reviewed case control studies of hip fractures published between 1990 and 1994. Eleven separate study populations with about 90,000 person years of observation time and over 2000 fractures. Relative risk of fracture for a decrease in bone mineral density of one standard deviation below age adjusted mean. All measuring sites had similar predictive abilities (relative risk 1.5 (95% confidence interval 1.4 to 1.6)) for decrease in bone mineral density except for measurement at spine for predicting vertebral fractures (relative risk 2.3 (1.9 to 2.8)) and measurement at hip for hip fractures (2.6 (2.0 to 3.5)). These results are in accordance with results of case-control studies. Predictive ability of decrease in bone mass was roughly similar to (or, for hip or spine measurements, better than) that of a 1 SD increase in blood pressure for stroke and better than a 1 SD increase in serum cholesterol concentration for cardiovascular disease. Measurements of bone mineral density can predict fracture risk but cannot identify individuals who will have a fracture. We do not recommend a programme of screening menopausal women for osteoporosis by measuring bone density.
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            Statistics review 13: Receiver operating characteristic curves

            This review introduces some commonly used methods for assessing the performance of a diagnostic test. The sensitivity, specificity and likelihood ratio of a test are discussed. The uses of the receiver operating characteristic curve and the area under the curve are explained.
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              Identification and fracture outcomes of undiagnosed low bone mineral density in postmenopausal women: results from the National Osteoporosis Risk Assessment.

              Large segments of the population at risk for osteoporosis and fracture have not been evaluated, and the usefulness of peripheral measurements for short-term prediction of fracture risk is uncertain. To describe the occurrence of low bone mineral density (BMD) in postmenopausal women, its risk factors, and fracture incidence during short-term follow-up. The National Osteoporosis Risk Assessment, a longitudinal observational study initiated September 1997 to March 1999, with approximately 12 months of subsequent follow-up. A total of 200 160 ambulatory postmenopausal women aged 50 years or older with no previous osteoporosis diagnosis, derived from 4236 primary care practices in 34 states. Baseline BMD T scores, obtained from peripheral bone densitometry performed at the heel, finger, or forearm; risk factors for low BMD, derived from questionnaire responses; and clinical fracture rates at 12-month follow-up. Using World Health Organization criteria, 39.6% had osteopenia (T score of -1 to -2.49) and 7.2% had osteoporosis (T score
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2013
                30 December 2013
                : 8
                : 12
                : e83436
                Affiliations
                [1 ]Paris-Descartes University, Rheumatology Department, Cochin Hospital, Paris, France
                [2 ]Department of Human Metabolism, University of Sheffield, Sheffield, United Kingdom
                [3 ]Centre of Muscle and Bone Research, Charité – University Medicine Berlin, Campus Benjamin Franklin, Free and Humboldt University, Berlin, Germany
                [4 ]School of Medicine & Dentistry, University of Aberdeen, Aberdeen, United Kingdom
                [5 ]Biomedizinische Bildgebung, Klinik für Diagnostische Radiologie, Universitätsklinikum Schleswig-Holstein, Kiel, Germany
                UCSD School of Medicine, United States of America
                Author notes

                Competing Interests: The OPUS cohort was sponsored by Eli Lilly, Sanofi-Aventis, Procter and Gamble Pharmaceuticals, Hoffman-La Roche, Pfizer and Novartis. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. This does not alter our adherence to all the PLOS ONE policies on sharing data and materials.

                Conceived and designed the experiments: KB SK RE DF DMR CCG CR. Analyzed the data: KB SP SK RE DF DMR CCG CR. Contributed reagents/materials/analysis tools: KB SP SK RE DF DMR CCG CR. Wrote the paper: KB SP SK RE DF DMR CCG CR.

                Article
                PONE-D-13-20250
                10.1371/journal.pone.0083436
                3875449
                24386199
                02fe2400-ac7f-428d-9f56-b05647358f74
                Copyright @ 2013

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 17 May 2013
                : 4 November 2013
                Page count
                Pages: 10
                Funding
                The OPUS cohort was sponsored by Eli Lilly, Sanofi-Aventis, Procter and Gamble Pharmaceuticals, Hoffman-La Roche, Pfizer and Novartis. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Author and coauthors did not receive any funding from these commercial sources.
                Categories
                Research Article
                Biology
                Anatomy and Physiology
                Musculoskeletal System
                Bone
                Biochemistry
                Metabolism
                Bone and Mineral Metabolism
                Population Biology
                Epidemiology
                Epidemiology of Aging
                Medicine
                Anatomy and Physiology
                Musculoskeletal System
                Bone
                Clinical Research Design
                Epidemiology
                Diagnostic Medicine
                Test Evaluation
                Epidemiology
                Epidemiology of Aging
                Geriatrics
                Rheumatology
                Women's Health
                Osteopenia and Osteoporosis

                Uncategorized
                Uncategorized

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