RESUMO
OBJECTIVE: To evaluate risk factors for in-patient treatment interruptions (TIs) in Russian tuberculosis (TB) hospitals. METHODS: The regional case-based registers for all TB patients registered in the main regional TB hospitals were analyzed for the period 1993-2002. Multivariable analysis of risk factors for TIs was performed using logistic regression. The prediction rule was developed based on the final multivariable model coefficients obtained from analysis of the largest (Lipetsk) database. RESULTS: During the study period, 18-50% of new cases and 36-56% of retreatment cases had interrupted in-patient treatment. In multivariate analysis, independent predictors of treatment interruption included: male gender (odds ratios (ORs) 1.5-2.3), age group 25-50 years (ORs 1.5-1.7), alcohol abuse (ORs 1.8-4.0), imprisonment history (ORs 1.3-2.5), unemployment (ORs 1.1-2.8), being a retreatment case (ORs 1.3-2.5), and having severe forms of TB (1.4-4.0); factors protective from interruption included urban residence (ORs 0.7-0.9) and having concomitant diseases (ORs 0.6-0.8). Based on the Lipeck model, new TB cases from the four regions were divided into low, high, and very high risk groups. Proportions of TI were approximately 20-35% in the low risk group, approximately 60-75% in the high risk group, and approximately 75-85% in the very high risk group (except Orel). CONCLUSIONS: We have described the independent predictors of patient TI, and a predictive rule for the in-patient TB treatment phase interruptions has been developed. Treatment interruption is a significant obstacle in the success of the National Tuberculosis Control Program in Russia. Interventions targeted at the high risk groups should be implemented in order to prevent in-patient treatment interruption.
