Algorithm of Diagnosis and Differential Diagnosis of Tuberculosis Using Diaskin-Testт in at-Risk Groups

Abstract

During this study, cohorts with the highest risk of tuberculosis needed in detailed examination were defined in the community. A group of 328 patients with local tuberculosis and a group of 1 250 children and adolescents with high risk of tuberculosis were chosen with a method of total cross sectional selection to evaluate efficacy of a new diagnostic method Diaskin test ® using recombinant allergen of M. tuberculosis (protein CFP 10 ESAT6) in a standard solution. Results of this study have led to development of a new technique of diagnosis of tuberculosis, subsequent examination and follow up of high risk groups in a tuberculosis center. Selection criteria for at risk groups have been developed to further diagnosis and follow up by a TB specialist. The highest risk of tuberculosis has been estimated in patients with positive Diaskin test ® and risk factors for tuberculosis. An algorithm of diagnosis and follow up using Diaskin test ® has been proposed.