Unknown

Dataset Information

0

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


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.

SUBMITTER: Oh SM 

PROVIDER: S-EPMC4696952 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC10504700 | biostudies-literature
| S-EPMC3808381 | biostudies-literature
| S-EPMC3567090 | biostudies-literature
| S-EPMC6258999 | biostudies-other
| S-EPMC9713074 | biostudies-literature
| S-EPMC11369526 | biostudies-literature
| S-EPMC5946931 | biostudies-literature
| S-EPMC6604506 | biostudies-literature
| S-EPMC8475984 | biostudies-literature
| S-EPMC10686208 | biostudies-literature