Fitting logistic regression models to assess vitamin D deficiency with clinical parameters in chronic hepatitis B patients

Abstract

Statistical models provide a quantitative structure with which clinicians can evaluate their hypotheses to explain patterns in observed data and generate forecasts. In contrast, vitamin D is an important immune modulator that plays an emerging role in liver diseases such as chronic hepatitis B (CHB). Therefore, we quantified 25(OH)D3 serum levels in 292 CHB patients tested for their association with clinical parameters. Of 292 patients, 69 (63%), 95 (47%), and 39 (19%) had severe vitamin D deficiency (25(OH)D3 < 10 ng/mL), vitamin D insufficiency (25(OH)D310 and < 20 ng/mL), or adequate vitamin D serum levels (25(OH)D3 20 ng/mL), respectively. In both univariate and multivariate analyses, zinc serum level was a strong predictor of low 25(OH)D3 serum levels (P < 0.001). Results of fitted models showed that lower vitamin D levels were significantly associated with: younger age, lower uric acid levels, HBeAg-positive status, lower calcium levels (p < 0.05). Vitamin D deficiency (<20 ng/ml) or severe deficiency (<10 ng/ml) was observed more frequently among HBV patients (52%). Vitamin D deficiency was observed in most CHB patients. Generally, our results recommend that substitution of vitamin D can be a substitution method in the treatment of patients with HBV-associated disorders.