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Machine Learning-Based Prediction of Treatment Response to Vitamin D3 in Adolescents and Young Adults with
Marina Adriana Mercioni1,2, Adrian Goldiș3, Nina Holban4
1Faculty of General Medicine, "Victor Babeș" University of Medicine and Pharmacy, 300041 Timisoara, Romania.
Abstract:
Background: Chronic inflammatory bowel diseases (IBDs), specifically Crohn's disease and ulcerative colitis, present substantial clinical challenges characterized by a relapsing-remitting course. These conditions often lead to serious complications and significantly impair nutritional status, physical development, and overall quality of life. Methods: This unicentric, prospective, open-label, alternation-based comparative study investigated the efficacy of vitamin D3 supplementation in adolescents with IBD. Patients aged 15-25 years were randomly assigned to receive either 1000 IU/day or 2000 IU/day of cholecalciferol for 6 months as an adjuvant to standard care. Eighty patients completed the study. Results: By month 6, remission was achieved in 52.5% of patients receiving 1000 IU/day (Group A) and 87.5% of those receiving 2000 IU/day (Group B). Significant differences were observed between groups regarding disease activity (p = 0.007), C-reactive protein levels (30.17 ± 15.74 mg/L vs. 62.82 ± 37.14 mg/L; p < 0.001), and fecal calprotectin levels. Conclusions: The machine learning models demonstrated consistent performance in assessing inflammatory indicators, with a weighted average recall exceeding 72% (Random Forest: 82.50%). No adverse effects were reported. Supplementation with 2000 IU/day of vitamin D3 for 6 months was associated with more favorable clinical and biochemical outcomes than 1000 IU/day in this single-center open-label study as an adjunct to standard treatment in adolescents and young adults with IBD. The results suggest that higher doses of vitamin D may be beneficial in achieving remission and reducing systemic inflammation.
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