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作 者:陈慧萍[1] 刘雷[2] 张连生[2] 彭国平[1] 蒋洪林[1] 汤恒[1] 彭庭海[1] 阳凯[1]
机构地区:[1]湖北省疾病预防控制中心,武汉430070 [2]武汉科技大学医学院公共卫生学院,武汉430065
出 处:《中国艾滋病性病》2014年第5期367-369,379,共4页Chinese Journal of Aids & STD
基 金:2012年湖北省公益性科技研究项目(2012DCA14001)~~
摘 要:目的探讨用Logistic回归判别模型判别艾滋病病毒(HIV)抗体不确定者转归的可行性。方法对2002-2013年被诊断为HIV抗体不确定者,按照《全国艾滋病检测技术规范》进行随访检测。描述分析HIV抗体不确定者的流行病学特征,用Logistic回归模型判别分析HIV抗体不确定者的转归。结果共有162例受检者被判定为"HIV抗体不确定"并成功随访,其中44例随访检测阳性,阳转率为27.16%(44/162)。Logistic回归判别模型的特异度、灵敏度分别为96.61%(114/118)、70.45%(31/44),总判别准确率为89.51%(145/162)。结论模型判别准确率良好,提示Logistic回归判别模型可以作为HIV的辅助诊断方法之一。Objective To investigate the feasibility of logistic regression discriminant model in determing outcome of human immunodeficiency virus (HIV) western blot-indeterminate (WBi) patients. Methods Accoring to national guideline for detection of HIV/AIDS, subjects with WBi were followed up from 2002 to 2013. Epidemiological characteristics of HIV indeterminate results were analyzed. Logistic regression was built to determine outcome of HIV indeterminate results. Results A total of 162 subjects were diagnosed as HIV western blot-indeterminate and successfully followed up. Among them, 44 turned positive and the positive rate was 27. 16% (44/162). The specificity, sensitivity and total accuracy of the logistic regression model were 96.61 % (114/118), 70.45 % (31/44) and 89.50 % (145/162). Conclusion The logistic regression model has good prediction accuracy, suggesting that the model can be used in diagnosis of HIV infection.
关 键 词:HIV抗体不确定者 Logistic回归判别模型 判别分析
分 类 号:R373.9[医药卫生—病原生物学]
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