AN ALGORITHM FOR PREDICTING COMPLICATIONS IN TOXIC ALCOHOLIC LIVER DAMAGE
Abstract
Development of an algorithm for predicting complications of toxic liver lesions of alcoholic and drug origin in young people. The prediction algorithm is based on a comprehensive assessment of biochemical, immunological, oxidative and instrumental parameters, taking into account the type of toxic liver damage, which allows patients to be ranked by risk and to determine the optimal management tactics. Patients with alcoholic liver damage are characterized by a marked increase in IL-2 levels, reflecting activation of the cellular immune response (Fig.3). While for patients with drug-induced liver damage, there is a predominant increase in IL-8 levels, which may indicate the leading role of neutrophilic inflammation and pronounced chemotactic activity.
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