Literature DB >> 27660228

Risk of Treatment Failure in Patients with Drug-susceptible Pulmonary Tuberculosis in China.

Ni Wang1, Yan Ma2, Yu Hong Liu2, Jian DU2, Hui Zhang1, Shi Heng Xie2, Kun Zhu2, Xiao Ya Lyu2, Wei Shu2, Hong Hong Wang2, Guo Feng Zhu3, Shou Yong Tan4, Yan Yong Fu5, Li Ping Ma6, Lian Ying Zhang7, Fei Ying Liu8, Dai Yu Hu9, Yan Ling Zhang10, Xiang Qun Li3, Liang Li2.   

Abstract

The objective of this prospective study of the risks of treatment failure in patients with drug-susceptible pulmonary tuberculosis (PTB) was to provide reference data to help develop a disease control strategy. Participants were recruited in eight provinces of China from October 2008 to December 2010. A total of 1447 patients with drug-susceptible PTB and older than 15 years of age were enrolled. Demographic characteristics, bacteriological test results, and patient outcome, i.e., cure or treatment failure were recorded and compared using the chi-square or Fisher's exact tests. Multivariate logistic regression was used to identify factors associated with risk of treatment failure. Of the 1447 patients who were enrolled, 1349 patients (93.2%) were successfully treated and 98 (6.8%) failed treatment. Failure was significantly associated with age 365 years [odds ratio (OR)=2.522, 95% confidence interval (CI): (1.097-5.801)], retreatment [OR=2.365, 95% CI: (1.276-4.381)], missed medicine [OR=1.836, 95% CI: (1.020-3.306)], treatment not observed [OR=1.879 95% CI: (1.105-3.195)], and positive culture result after the first [OR=1.971, 95% CI: (1.080-3.597)] and second month [OR=4.659, 95% CI: (2.590-8.382)]. The risk factors associated with treatment failure were age 365 years, retreatment, missed medication, treatment not observed, and positive culture at the end of month 1 or month 2. These risk factors should be monitored during treatment and interventions carried out to reduce or prevent treatment failure and optimize treatment success.
Copyright © 2016 The Editorial Board of Biomedical and Environmental Sciences. Published by China CDC. All rights reserved.

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Year:  2016        PMID: 27660228     DOI: 10.3967/bes2016.083

Source DB:  PubMed          Journal:  Biomed Environ Sci        ISSN: 0895-3988            Impact factor:   3.118


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