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耐多药肺结核的影响因素及风险预测
引用本文:陈聪,张云侠,姚芳,王坚杰,周美兰,段琼红.耐多药肺结核的影响因素及风险预测[J].湖北预防医学杂志,2017,28(2):49-51.
作者姓名:陈聪  张云侠  姚芳  王坚杰  周美兰  段琼红
作者单位:武汉市结核病防治所,武汉,430030
基金项目:武汉市卫计委项目,湖北省卫计委项目,武汉市中青年医学骨干人才项目,武汉市卫计委项目
摘    要:目的探索耐多药肺结核(MDR-TB)的发病危险因素,并构建风险预测模型。方法整群抽取2014年6月至2015年12月武汉市结核病防治所登记耐多药肺结核病例为病例组,未患有结核病的健康人群为对照组。自行设计调查表,面对面调查收集相关资料。用logistic回归法筛选危险因素,构建风险预测模型;采用H-L检验评价拟合优度,ROC曲线下面积来评估其预测效能。结果多因素logistic回归分析显示,性别为男性、婚姻状况(未在婚)、无固定职业、经常去公共场所为MDR-TB发生的独立危险因素(P<0.05)。H-L检验结果为:χ~2=6.508,P=0.482。ROC曲线下面积为0.810(95%CI:0.757~0.862)。结论性别为男性、婚姻状况(未在婚)、无固定职业、经常搭乘公共交通工具(去公共场所)与MDR-TB的发生相关。Logistic回归模型预测MDR-TB发生风险精度较高。

关 键 词:分枝杆菌  结核  耐多药结核  危险因素  风险预测

Analysis on the influence factors and risk prediction of multidrug-resistant tuberculosis
CHEN Cong,ZHANG Yunxia,YAO Fang,WANG Jianjie,ZHOU Meilan,DUAN Qionghong.Analysis on the influence factors and risk prediction of multidrug-resistant tuberculosis[J].Hubei Journal of Preventive Medicine,2017,28(2):49-51.
Authors:CHEN Cong  ZHANG Yunxia  YAO Fang  WANG Jianjie  ZHOU Meilan  DUAN Qionghong
Abstract:Objective To explore the risk factors of multidrug-resistant tuberculosis,and construct the risk prediction model.Methods Cluster sampling was used to select 125 cases with MDR pulmonary tuberculosis registered in Wuhan Institute for Tuberculosis Control as case group,and 125 healthy people were included as control group.Self-designed questionnaire and face to face investigation were conducted.Logistic regression was used to analyze the influence factors and the risk factor prediction model was constructed.The H-L test was used to evaluate goodness of fit,and the area under the ROC curve was to elucidate its predictive effectiveness.Results Logistic regression analysis revealed that male,unmarried or divorced,unemployed y and those always went to public places were the independent risk factors of MDR-TB.The result of H-L test wasx2 =6.508,P =0.482.The area under ROC curve was 0.810 (95% CI:0.757-0.862).Conclusions Male,unmarried or divorced,unemployed and those always went to public places were related to MDR-TB.The use of Logistic regression model to predict the risk of MDR-TB was of high precision.
Keywords:Mycobacterium  Tuberculosis  Multi drug-resistant tuberculosis  Risk factors  Risk prediction model
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