Treatment interruptions among patients with tuberculosis in Russian TB hospitals
| Autor: | Ekaterina V. Kourbatova, Earl Francis Cook, Evgeny Belilovsky, Wieslaw M. Jakubowiak, Sergey Borisov, Shimon Shaykevich |
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| Rok vydání: | 2010 |
| Předmět: |
Adult
Male Microbiology (medical) Pediatrics medicine.medical_specialty Multivariate analysis Tuberculosis Antitubercular Agents Psychological intervention Alcohol abuse Logistic regression Drug Administration Schedule Russia Hospitals Chronic Disease Pharmacotherapy Risk Factors medicine Humans Tuberculosis Pulmonary business.industry General Medicine Odds ratio Middle Aged medicine.disease Logistic Models Treatment Outcome Infectious Diseases Hospital treatment interruption Concomitant Multivariate Analysis Female business |
| Zdroj: | International Journal of Infectious Diseases. 14:e698-e703 |
| ISSN: | 1201-9712 |
| Popis: | Summary 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. |
| Databáze: | OpenAIRE |
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