Yonsei Med J.  2016 Jan;57(1):187-196. 10.3349/ymj.2016.57.1.187.

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

Affiliations
  • 1Cardiovascular and Metabolic Disease Etiology Research Center, Yonsei University College of Medicine, Seoul, Korea. hckim@yuhs.ac
  • 2Department of Public Health, Yonsei University Graduate School, Seoul, Korea.
  • 3Biometric Research Branch, National Cancer Center, Goyang, Korea.
  • 4Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea.
  • 5Department of Orthopedics Surgery, Yonsei University College of Medicine, Seoul, Korea.
  • 6Research Institute of Rehabilitation Medicine, Yonsei University College of Medicine, Seoul, Korea.
  • 7Department of Medical Humanities and Social Medicines, Ajou University School of Medicine, Suwon, Korea.
  • 8Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea.

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 > or =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 < or =-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.

Keyword

Osteoporosis; risk assessment; men; Korea

MeSH Terms

Aged
Asian Continental Ancestry Group/*statistics & numerical data
Bone Density
Female
Humans
Male
Middle Aged
*Models, Biological
Nutrition Surveys
Osteoporosis/*diagnosis/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
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