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PLoS One ; 9(8): e105214, 2014.
Article in English | MEDLINE | ID: mdl-25136966

ABSTRACT

OBJECTIVE: To determine the risk factors for developing multidrug resistant tuberculosis in Bangladesh. METHODS: This case-control study was set in central, district and sub-district level hospitals of rural and urban Bangladesh. Included were 250 multidrug resistant tuberculosis (MDR-TB) patients as cases and 750 drug susceptible tuberculosis patients as controls. We recruited cases from all three government hospitals treating MDR-TB in Bangladesh during the study period. Controls were selected randomly from those local treatment units that had referred the cases. Information was collected through face-to-face interviews and record reviews. Unadjusted and multivariable logistic regression were used to analyse the data. RESULTS: Previous treatment history was shown to be the major contributing factor to MDR-TB in univariate analysis. After adjusting for other factors in multivariable analysis, age group "18-25" (OR 1.77, CI 1.07-2.93) and "26-45" (OR 1.72, CI 1.12-2.66), some level of education (OR 1.94, CI 1.32-2.85), service and business as occupation (OR 2.88, CI 1.29-6.44; OR 3.71, CI 1.59-8.66, respectively), smoking history (OR 1.58, CI 0.99-2.5), and type 2 diabetes (OR 2.56 CI 1.51-4.34) were associated with MDR-TB. Previous treatment was not included in the multivariable analysis as it was correlated with multiple predictors. CONCLUSION: Previous tuberculosis treatment was found to be the major risk factor for MDR-TB. This study also identified age 18 to 45 years, some education up to secondary level, service and business as occupation, past smoking status, and type 2 diabetes as comorbid illness as risk factors. National Tuberculosis programme should address these risk factors in MDR-TB control strategy. The integration of MDR-TB control activities with diabetes and tobacco control programmes is needed in Bangladesh.


Subject(s)
Tuberculosis, Multidrug-Resistant/epidemiology , Adult , Bangladesh/epidemiology , Case-Control Studies , Female , Humans , Logistic Models , Male , Middle Aged , Risk Factors , Young Adult
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