Abstract:
ObjectiveTo make analysis on the related factors for recurrence of irregularly treated patients with tuberculosis, providing references for strategy development to improve the treatment success rate of key populations of tuberculosis.
MethodsUnivariate and Logistic regression models were used to analyze the correlation between the recurrence of 454 irregularly treated patients and factors such as gender, age, diagnosis, registration classification, causes of irregular treatment, number of months before irregular treatment, results of intervention and others by collecting tuberculosis surveillance data from 2010 to 2014 in Pudong New Area of Shanghai.
ResultsUnivariate analysis showed that different diagnosis results, classification as retreatment, causes of irregular treatment, and failure of intervention were statistically different in the recurrence of patients with irregular tuberculosis (P < 0.05).Multiple regression model analysis showed that smear positive (OR=1.848, 95% CI:1.027-3.323), retreatment (OR=2.115, 95% CI:1.072-4.173) and the failure of intervention (OR=23.468, 95% CI:9.692-56.825) were independent related factors for recurrence of tuberculosis patients with irregular treatment (P < 0.05).
ConclusionIt is important to reduce the recurrence rate of tuberculosis by controlling related factors in key populations of tuberculosis and taking targeted interventions.
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