Development and validation of osteoporosis risk-assessment model for Korean men

Sun Min Oh, Bo Mi Song, Byung Ho Nam, Yumie Rhee, Seong Hwan Moon, Deog Young Kim, Dae Ryong Kang, Hyeon Chang Kim

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)187-196
Number of pages10
JournalYonsei medical journal
Volume57
Issue number1
DOIs
Publication statusPublished - 2016 Jan

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Osteoporosis
Area Under Curve
Sensitivity and Specificity
Nutrition Surveys
Femur Neck
Photon Absorptiometry
ROC Curve
Spine
Body Weight

All Science Journal Classification (ASJC) codes

  • Medicine(all)

Cite this

Oh, Sun Min ; Song, Bo Mi ; Nam, Byung Ho ; Rhee, Yumie ; Moon, Seong Hwan ; Kim, Deog Young ; Kang, Dae Ryong ; Kim, Hyeon Chang. / Development and validation of osteoporosis risk-assessment model for Korean men. In: Yonsei medical journal. 2016 ; Vol. 57, No. 1. pp. 187-196.
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abstract = "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.",
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Development and validation of osteoporosis risk-assessment model for Korean men. / Oh, Sun Min; Song, Bo Mi; Nam, Byung Ho; Rhee, Yumie; Moon, Seong Hwan; Kim, Deog Young; Kang, Dae Ryong; Kim, Hyeon Chang.

In: Yonsei medical journal, Vol. 57, No. 1, 01.2016, p. 187-196.

Research output: Contribution to journalArticle

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