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Russian Journal of Gastroenterology, Hepatology, Coloproctology

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Prognosis of unfavorable course of ulcerative colitis as indication for anticytokine therapy

Abstract

Aim of investigation. To outline predictive model for unfavorable course of ulcerative colitis (UC).

Material and methods. Overall 232 patients with UC were included in original study, 84 of them had favourable and 148 – unfavorable course of disease.

Results. Prognostic system for various variants of course of UC and its complications, 27 most significant clinical signs of disease based on differentiated clinical and statistical evaluation was submitted. To define indications for «top down» therapy with application of TNF-α blockers clinically approved algorithm of prognostic decisions for development of favorable (uncomplicated, rarely relapsing) and unfavorable (frequently relapsing, continuous, steroiddependent) variants of disease, and its complications was stated. Basing on high scores of sensitivity (accuracy) and specificity of prognosis, that were received, data proving potential of indications for early anticytokine treat­ment by infliximab to avoid unfavorable course and complications of ulcerative colitis are presented.

About the Authors

A. Yu. Baranovsky
State educational government-financed institution of higher professional education Mechnikov North-Western State medical University
Russian Federation


E. A. Kondrashina
State educational government-financed institution of higher professional education Mechnikov North-Western State medical University
Russian Federation


A. G. Kharitonov
State educational government-financed institution of higher professional education Mechnikov North-Western State medical University
Russian Federation


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Review

For citations:


Baranovsky A.Yu., Kondrashina E.A., Kharitonov A.G. Prognosis of unfavorable course of ulcerative colitis as indication for anticytokine therapy. Russian Journal of Gastroenterology, Hepatology, Coloproctology. 2012;22(3):63-69. (In Russ.)

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ISSN 1382-4376 (Print)
ISSN 2658-6673 (Online)