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Development and Validation of Osteoporosis Risk-Assessment Model for Korean Men

PURPOSE: The aim of the present study was to develop an osteoporosis risk-assessment model to identify high-risk individuals among Korean men. MATERIALS AND METHODS: The study used data from 1340 and 1110 men ≥50 years who participated in the 2009 and 2010 Korean National Health and Nutrition Examin...

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Detalles Bibliográficos
Autores principales: Oh, Sun Min, Song, Bo Mi, Nam, Byung-Ho, Rhee, Yumie, Moon, Seong-Hwan, Kim, Deog Young, Kang, Dae Ryong, Kim, Hyeon Chang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Yonsei University College of Medicine 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4696952/
https://www.ncbi.nlm.nih.gov/pubmed/26632400
http://dx.doi.org/10.3349/ymj.2016.57.1.187
Descripción
Sumario:PURPOSE: The aim of the present study was to develop an osteoporosis risk-assessment model to identify high-risk individuals among Korean men. MATERIALS AND METHODS: The 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. RESULTS: In 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%. CONCLUSION: KORAM-M can be simply used as a pre-screening tool to identify candidates for dual energy X-ray absorptiometry tests.