Фундаментальная и клиническая медицина (Mar 2016)
AN INTEGRATED SYSTEM FOR PREDICTION OF ADVERSE OUTCOME DURING ANTI-TUBERCULOSIS TREATMENT
Abstract
Тo develop a comprehensive method for evaluating the risk of an adverse outcome during anti-tuberculosis (anti-TB) treatment. Materials and Methods: We recruited 10,398 adult patients with either primary pulmonary TB or TB relapse. All patients were divided into 2 groups: 7,249 patients with a favorable outcome and 3,149 patients with an adverse outcome. We then assessed a number of social and medical factors which could be significant predictors of an adverse outcome. For the statistical analysis, we used the likelihood ratio (LR) method. Results: All variables were stratified into levels or classes. We then calculated LR for each level or class and further calculated diagnostic ratios for the integrated evaluation of each factor in predicting the adverse outcome. Conclusions: Our original integrated system may assist in calculating the risk of an adverse outcome during anti-TB treatment.
