A risk assessment tool (OsteoRisk) for identifying latin American women with osteoporosis Authors
Cite this article as: Sen, S.S., Rives, V.P., Messina, O.D. et al. J GEN INTERN MED (2005) 20: 245. doi:10.1111/j.1525-1497.2005.40900.x Abstract To develop a simple and easy-to-use tool for identifying osteoporotic women (femoral neck bone mineral density [BMD] T-scores ≤−2.5) in Latin America. OBJECTIVE: Retrospective study involving review of medical records. DESIGN: Osteoporosis clinics in 6 Latin American countries. SETTING: Postmenopausal women ages ≥50 in Latin America who had femoral neck BMD measurements. PATIENTS: A risk index was developed from 1.547 patients based on least square regression using age, weight, history of fractures, and other variables as predictors for BMD T-score. The final model was simplified by reducing the number of predictors; sensitivity and specificity were evaluated before and after reducing the number of predictors to assess performance of the index. The final model included age, weight, country, estrogen use, and history of fractures as significant predictors for T-score. The resulting scoring index achieved 91% sensitivity and 47% specificity. Simplifying the index by using only age and weight yielded similar performance (sensitivity, 92%; specificity, 45%). Three risk categories were identified based on OsteoRisk, the index using only age and body weight: high-risk patients (index <=−2; 65.6% were osteoporotic), moderate-risk patients (−2<index <=1; 26.7% were osteoporotic), and low-risk patients (index>1; 8% were osteoporotic). Similar results were seen in a validation sample of 279 women in Brazil. MEASUREMENTS AND MAIN RESULTS: Age and weight alone performed well for predicting the risk of osteoporosis among postmenopausal women. The OsteoRisk is an easy-to-use tool that effectively targets the vast majority of osteoporotic patients in Latin America for evaluation with BMD. CONCLUSION: Key words osteoporosis bone mineral density risk assessment
Dr. Shuvayu S. Sen and Dr. Phillip D. Ross are employees of Merck & Company, Inc.
The results were presented in part at the Fourth Conference on the Clinical and Economic Aspects of Osteoporosis and Osteoarthritis, Nice, France, November 2003.
This study was funded in part by Merck & Company, Inc. The authors would like to acknowledge Dr. Olga Geling for her support with data analysis.
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