Simple prediction model for vitamin D deficiency in women with osteoporosis or risk factors for osteoporosis in Thailand
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2024-12-01
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22146237
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2-s2.0-85210647407
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Journal of Clinical and Translational Endocrinology
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38
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SCOPUS
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Journal of Clinical and Translational Endocrinology Vol.38 (2024)
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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/123456789/102338
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Simple prediction model for vitamin D deficiency in women with osteoporosis or risk factors for osteoporosis in Thailand
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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.