Возможность прогнозирования развития фиброза и цирроза при аутоиммунных заболеваниях печени у детей с помощью прямых биомаркеров

Abstract

Materials and Methods. The study included 80 patients aged 5 to 17 years with chronic autoimmune hepatic disorders. Patients underwent marginal liver excision with laparoscopic control, then the morphology of biopsy samples was examined, HF was determined using METAVIR scale, and ELISA was used to assess blood C-I and HA concentrations. Study Results. Regressive coefficients demonstrated that reduction in C-I concentration by 1 ng/mL increases the odds of HC by 0.983 times, while HA increase by 1 ng/mL results in 1.032-fold increase in the odds of HC. Moreover, increase in HA concentration by 1 ng/mL raises the odds of marked HF or HC by 1.036 times. The resulting regression models are statistically significant (p < 0.001 in both cases). Conclusion. We found statistically significant differences in serum concentration of C-I and HA at various hepatic fibrosis stages in children and developed four predicative models; three of them have satisfactory sensitivity and specificity to predict marked fibrosis and cirrhosis depending on biomarker concentration. Keywords: hyaluronic acid, type I collagen, hepatic cirrhosis, hepatic fibrosis, children.