J Bone Metab.  2023 May;30(2):179-188. 10.11005/jbm.2023.30.2.179.

Development and Validation of a New Clinical Diagnostic Screening Model for Osteoporosis in Postmenopausal Women

• Leeyaphan PWJ
• Rojjananukulpong K
• Intarasompun P
• Peerakul Y

• KMID: 2543970
• DOI: http://doi.org/10.11005/jbm.2023.30.2.179

Abstract

Background
Age and weight are not only strong predictive parameters for osteoporosis diagnosis but can also be easily acquired from patients. This study aimed to develop and validate a new diagnostic screening model for postmenopausal osteoporosis that uses only 2 parameters, viz., age and weight. The discriminative ability of the model was analyzed and compared with that of the osteoporosis self-assessment tool for Asians (OSTA) index.
Methods
The age–weight diagnostic screening model was developed using a retrospective chart review of postmenopausal women aged ≥50 years who underwent dual energy X-ray absorptiometry at a tertiary hospital from November 2017 to April 2022. Logistic regression analysis was used to derive a diagnostic screening model for osteoporosis.
Results
A total of 533 postmenopausal women were included in the study. According to the highest Youden index value, a probability cut-off value of 0.298 was used in the diagnosis screening model at any site, which yielded a sensitivity of 84.3% and a specificity of 53.8%. For increased sensitivity as a screening tool, a cut-off value of 0.254 was proposed to obtain a sensitivity of 90.2% and a specificity of 42.2%. The area under receiver operating characteristic curves from all screening models were significantly higher than those from the OSTA index model (p<0.05).
Conclusions
This study showed the feasibility of a postmenopausal osteoporosis diagnostic screening model that uses 2 strong predictors for osteoporosis diagnosis: age and weight. This age–weight diagnostic model is a simple, effective option in postmenopausal osteoporosis screening.

Keyword

Bone density · Diagnosis · Osteoporosis, postmenopausal · Sensitivity and specificity