• Sun Min Oh, Bo Mi Song, Byung Ho Nam, Yumie Rhee, Seong Hwan Moon, Deog Young Kim, Dae Ryong Kang, and Hyeon Chang Kim.
• Cardiovascular and Metabolic Disease Etiology Research Center, Yonsei University College of Medicine, Seoul, Korea.
• Yonsei Med. J. 2016 Jan 1; 57 (1): 187196187-96.

PurposeThe aim of the present study was to develop an osteoporosis risk-assessment model to identify high-risk individuals among Korean men.Materials And MethodsThe study used data from 1340 and 1110 men ≥50 years who participated in the 2009 and 2010 Korean National Health and Nutrition Examination Survey, respectively, for development and validation of an osteoporosis risk-assessment model. Osteoporosis was defined as T score ≤-2.5 at either the femoral neck or lumbar spine. Performance of the candidate models and the Osteoporosis Self-assessment Tool for Asian (OSTA) was compared with sensitivity, specificity, and area under the receiver operating characteristics curve (AUC). A net reclassification improvement was further calculated to compare the developed Korean Osteoporosis Risk-Assessment Model for Men (KORAM-M) with OSTA.ResultsIn the development dataset, the prevalence of osteoporosis was 8.1%. KORAM-M, consisting of age and body weight, had a sensitivity of 90.8%, a specificity of 42.4%, and an AUC of 0.666 with a cut-off score of -9. In the validation dataset, similar results were shown: sensitivity 87.9%, specificity 39.7%, and AUC 0.638. Additionally, risk categorization with KORAM-M showed improved reclassification over that of OSTA up to 22.8%.ConclusionKORAM-M can be simply used as a pre-screening tool to identify candidates for dual energy X-ray absorptiometry tests.

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