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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4696952PMC
http://dx.doi.org/10.3349/ymj.2016.57.1.187DOI Listing

Publication Analysis

Top Keywords

osteoporosis risk-assessment
16
risk-assessment model
16
development validation
8
validation osteoporosis
8
osteoporosis
7
risk-assessment
4
model
4
korean
4
model korean
4
korean men
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!