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

Yonsei Med J. 2016 Jan;57(1):187-96. doi: 10.3349/ymj.2016.57.1.187.

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.

Keywords: Korea; Osteoporosis; men; risk assessment.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Asian People / statistics & numerical data*
  • Bone Density
  • Female
  • Humans
  • Male
  • Middle Aged
  • Models, Biological*
  • Nutrition Surveys
  • Osteoporosis / diagnosis*
  • Osteoporosis / ethnology
  • Predictive Value of Tests
  • Prevalence
  • ROC Curve
  • Reproducibility of Results
  • Republic of Korea / epidemiology
  • Risk Assessment / methods*
  • Sensitivity and Specificity
  • Surveys and Questionnaires / standards*