文章摘要
黎翰东,敖睿,彭琳,李迪,张菊英.利用两水平logistic模型探讨麻疹监测系统病例分类[J].中华流行病学杂志,2014,35(1):57-60
利用两水平logistic模型探讨麻疹监测系统病例分类
Case classification in measles surveillance system under the Two-level Logistic Model
收稿日期:2013-07-08  出版日期:2014-09-02
DOI:
中文关键词: 麻疹  监测  两水平logistic回归  ROC曲线
英文关键词: Measles  Surveillance  Two-level logistic regression  ROC curve
基金项目:
作者单位E-mail
黎翰东   
敖睿   
彭琳   
李迪   
张菊英  yin9109@163.com 
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中文摘要:
      目的建立判别麻疹临床症状的logistic回归模型,比较麻疹与其他发热出疹性疾病临床症状的差异。方法收集2011年3月至2012年2月四川省4个县级以上医院报告的所有麻疹、风疹、猩红热、幼儿急疹等病例,以实验室确诊麻疹为反应变量,各临床症状为自变量建立logistic回归方程,并绘制ROC曲线,选择最佳截断点。结果共收集551名病例,麻疹和风疹临床诊断与实验室诊断一致性均较差,Kappa值=O.349;根据两水平logistic回归分析,与麻疹确诊病例有关的症状有咳嗽(OR=5.75)、结膜炎(OR=3.00)、柯氏斑(OR=7.52)、淋巴结肿大(OR=O.07)、热退疹出(OR=O.07);回归方程ROC曲线的曲线下面积为O.97,最佳截断点为0.249。结论通过临床症状建立了预测效果较好的logistic回归模型,但应开展更大范围的调查和实验室检测,明确与麻疹相关的主要发热出疹性疾病类型及构成。
英文摘要:
      0bjecfive To study the prevalence rates of Rash and Febrile Illnesses(RFIs)including measles,rubella,scarlet fever,exanthema subitum and the differences among measles and other RFIs to tentatively formulate the logistic regression model through clinical manifestation.Methods AU the suspected cases of measles,rubella,scarlet fever,exanthema subitum reported by the county/prefecture lever hospitals at four counties were collected during March 2011 to February 2012.Ⅵmen setting labomtory confirmed measles as dependent variable and existed symptoms as independent variable,a logistic regression model was formulated and optimal operational point(OOP)chosen,according to the ROC calve.Results A total number of 55l cases were collected but the consistency ofmeasles diagnosis between clinical and laboratory was not satisfied,with Kappa value=0.349.same to the diagnosis ofrubella.As for the result from the two—lever logistic regression model.symptoms that related to the confirmation of measles would include cough(OR=5.75),conjunctivitis(OR=3.00),Koplik spot(OR=7.52),lymphadenectasis(OR=O.07),rash after fever(OR=O.07).The area under ROC curve was 0.97 and the optimal operational point Was 0.249.Conclusion A logistic regression model was formulated using the clinical symptoms which was resulted in better performance on prediction.As the sample size of this survey was small,the expansion on the scale of investigation and lab
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