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Predictors of pulmonary tuberculosis treatment outcomes in South Korea: A prospective cohort study, 2005-2012

BMC Infectious Diseases, Volume 14, No. 1, Article 360, Year 2014

Background: Tuberculosis remains an important health concern in many countries. The aim of this study was to identify predictors of unfavorable outcomes at the end of treatment (EOT) and at the end of study (EOS; 40 months after EOT) in South Korea.Methods: New or previously treated tuberculosis patients were recruited into a prospective observational cohort study at two hospitals in South Korea. To identify predictors of unfavorable outcomes at EOT and EOS, logistic regression analysis was performed.Results: The proportion of multidrug-resistant tuberculosis (MDR-TB) was 8.2% in new cases and 57.9% in previously treated cases. Of new cases, 68.6% were cured, as were 40.7% of previously treated cases. At EOT, diabetes, ≥3 previous TB episodes, ≥1 significant regimen change, and MDR-TB were significantly associated with treatment failure or death. At EOS, age ≥35, body-mass index (BMI) <18.5, diabetes, and MDR-TB were significantly associated with treatment failure, death, or relapse. Among cases that were cured at EOT, age ≥50 and a BMI <18.5 were associated with subsequent death or relapse during follow-up to EOS. Treatment interruption was associated with service sector employees or laborers, bilateral lesions on chest X-ray, and previous treatment failure or treatment interruption history.Conclusions: Risk factors for poor treatment outcomes at EOT and EOS include both patient factors (diabetes status, age, BMI) and disease factors (history of multiple previous treatment episodes, MDR-TB). In this longitudinal, observational cohort study, diabetes mellitus and MDR-TB were risk factors for poor treatment outcomes and relapse. Measures to help ensure that the first tuberculosis treatment episode is also the last one may improve treatment outcomes.Trial registration: ClinicalTrials.gov ID: NCT00341601. © 2014 Choi et al.; licensee BioMed Central Ltd.
Statistics
Citations: 62
Authors: 14
Affiliations: 5
Identifiers
Research Areas
Health System And Policy
Infectious Diseases
Noncommunicable Diseases
Study Design
Cohort Study
Study Approach
Quantitative