中国人兽共患病学报2017，Vol.33Issue(4)：300-304,5.DOI:10.3969/j.issn.1002-2694.2017.04.002
中国西南地区结核分枝杆菌临床分离菌株一线药物耐药状况调查
First-line drug resistance of Mycobacterium tuberculosis isolated in Southwest China
摘要
Abstract
The drug-resistance and its influencing factors of clinical isolates of Mycobacterium tuberculosis (M.tuberculosis) in Southwest China were investigated in this study,for providing the basic scientific reference for the prevention and control of tuberculosis (TB).A total of 500 clinical isolates of M.tuberculosis from the sputum specimens of the patients with TB in 2006-2013 were collected in the four provinces of the southwestern China (Guizhou,Guangxi,Sichuan and Chongqing).The drug susceptibility of the strains to the four drugs was tested with the drug susceptibility test (DST) of the proportion method.Statistical analyses were carried out by using x2 analysis and logistic regression analysis.Among all the 500 clinical isolates of M.tuberculosis,the percentages of drug resistance to INH,RFP,EMB and SM were 30.40％,26.00％,9.80％ and 24.40％,respectively.The total drug resistant rate and multi drug-resistant (MDR) rate were 40.60％ and 27.20％,respectively.The total drug resistant rate and MDR rate in Guizhou,Sichuan,Guangxi and Chongqing were 64.10％ and 46.15％,59.54％ and 51.90％,28.88％ and 14.97％,20.19％ and 3.85％,respectively.There were significant differences (P＜0.05) in drug-resistant rate to INH,RFP,EMB,SM,the total drug resistance and MDR in these areas.Logistic regression analysis showed that the influence factors were case types and area (P＜0.05).The drug resistance of tuberculosis was very severe in southwest China,especially in Guizhou and Sichuan.For guiding the clinical medication to prevention and control of drug-resistant TB,we should be more attention to the surveillance of drug resistance of M.tuberculosis.关键词
结核分枝杆菌/耐药性/Logistic回归分析Key words
Mycobacterium tuberculosis/drug resistance/logistic regression analysis分类
医药卫生引用本文复制引用
陈杏,李雨晴,万李,刘海灿,赵秀芹,管茶香,万康林,袁秀琴..中国西南地区结核分枝杆菌临床分离菌株一线药物耐药状况调查[J].中国人兽共患病学报,2017,33(4):300-304,5.基金项目
国家科技重大专项(No.2013ZX10003002-001)资助 Supported by the National Science and Technology Major Project of China (No.2013ZX10003002-001) （No.2013ZX10003002-001）
