Simple prediction model for vitamin D deficiency in women with osteoporosis or risk factors for osteoporosis in Thailand
Issued Date
2024-12-01
Resource Type
eISSN
22146237
Scopus ID
2-s2.0-85210647407
Journal Title
Journal of Clinical and Translational Endocrinology
Volume
38
Rights Holder(s)
SCOPUS
Bibliographic Citation
Journal of Clinical and Translational Endocrinology Vol.38 (2024)
Suggested Citation
Mullikapipat T., Dumrongwongsuwinai N., Vallibhakara O., Rattanasiri S., Vallibhakara S.A., Wajanavisit W., Ongphiphadhanakul B., Nimitphong H. Simple prediction model for vitamin D deficiency in women with osteoporosis or risk factors for osteoporosis in Thailand. Journal of Clinical and Translational Endocrinology Vol.38 (2024). doi:10.1016/j.jcte.2024.100377 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/102338
Title
Simple prediction model for vitamin D deficiency in women with osteoporosis or risk factors for osteoporosis in Thailand
Author's Affiliation
Corresponding Author(s)
Other Contributor(s)
Abstract
Introduction: In Thailand, the assessment of vitamin D status by measuring 25-hydroxyvitamin D[25(OH)D] levels in individuals at risk for osteoporosis is constrained by limited facilities and high costs. This study aimed to create a clinical model for predicting vitamin D deficiency in women with osteoporosis or risk factors for osteoporosis. Materials and Methods: This was a cross-sectional study of 490 women. All participants had 25(OH)D levels measured. A questionnaire was used to assess factors related to vitamin D status. Vitamin D deficiency was defined as 25(OH)D levels < 30 ng/mL. Logistic regression analyses were conducted to investigate predictors of vitamin D deficiency. In the model, odds ratios (ORs) were converted into simple scores. The optimal cutoff for women at a high risk of vitamin D deficiency was established. Internal validation was assessed using a Bootstrap. Results: Sixty percent had vitamin D deficiency. The final model for predicting vitamin D deficiency consisted of a body mass index ≥ 25 kg/m2 (OR:1.15), lack of exercise (OR:1.59), exercise 1–2 times/week (OR:1.40), sunlight exposure < 15 min/day (OR:1.70), no vitamin D supplementation (OR:8.76), and vitamin D supplementation of 1–20,000 IU/week (OR:2.31). The area under the curve was 0.747. At a cutoff of 6.6 in total risk score (range 4–13.6), the model predicted vitamin D deficiency with a sensitivity of 71.9 % and a specificity of 65.3 %. The internal validation by Bootstrap revealed a ROC of 0.737. Conclusions: In women at risk of osteoporosis, a simple risk score can identify individuals with a high risk of vitamin D deficiency. These women could benefit from vitamin D supplementation without requiring 25(OH)D measurements.