Reliable classifier to differentiate primary and secondary acute dengue infection based on IgG ELISA.
Reliable classifier to differentiate primary and secondary acute dengue infection based on IgG ELISA.
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DOI：
10.1371/journal.pone.0004945
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发表时间：
2009
期刊：
影响因子：
3.7
通讯作者：
Marques ET Jr
中科院分区：
文献类型：
--
作者：
Cordeiro MT;Braga-Neto U;Nogueira RM;Marques ET Jr
登革病毒感染引起的疾病范围很广，从亚临床疾病到严重疾病。严重的登革热与连续的病毒感染有关。对原发和继发登革热感染的严格定义需要结合在疾病的不同阶段进行几项测试，这是不切实际的。我们开发了一种简单的方法，根据登革热特异性免疫球蛋白的水平将登革热感染分为原发性或继发性。一组109名登革热感染患者被归类为原发或继发性登革热感染患者，其依据是对每个患者在30天内收集的多个样本进行的抗原特异性IgM和免疫球蛋白G检测、病毒分离和病毒基因组检测的严格组合结果。用线性判别分析(LDA)分析59例登革热患者血清中登革热特异性免疫球蛋白的水平，并设计一维和二维分类器。经支持的再替代误差估计，一维分类器具有75.1%的敏感性和92.5%的特异性。二维分类器的设计也考虑了症状出现后的天数，估计的敏感度和特异度分别为91.64%和92.46%。使用来自其余50名患者的标准样本的独立测试集来验证二维分类器的性能。通过与其他两种登革热分类方法：血凝抑制法(HI)和室内抗登革热抗体捕获酶联免疫吸附试验(ELISA)的比较，进一步验证了由二维分类器确定的独立样本集的分类。用二维分类器做出的决定与血凝抑制试验100%一致，与室内酶联免疫吸附试验96%一致。一旦确定急性登革热感染，基于常见登革热病毒免疫球蛋白试剂盒的二维分类器可以可靠地区分原发和继发登革热感染。2-D分类器的计算和验证软件可供下载。
Dengue virus infection causes a wide spectrum of illness, ranging from sub-clinical to severe disease. Severe dengue is associated with sequential viral infections. A strict definition of primary versus secondary dengue infections requires a combination of several tests performed at different stages of the disease, which is not practical. We developed a simple method to classify dengue infections as primary or secondary based on the levels of dengue-specific IgG. A group of 109 dengue infection patients were classified as having primary or secondary dengue infection on the basis of a strict combination of results from assays of antigen-specific IgM and IgG, isolation of virus and detection of the viral genome by PCR tests performed on multiple samples, collected from each patient over a period of 30 days. The dengue-specific IgG levels of all samples from 59 of the patients were analyzed by linear discriminant analysis (LDA), and one- and two-dimensional classifiers were designed. The one-dimensional classifier was estimated by bolstered resubstitution error estimation to have 75.1% sensitivity and 92.5% specificity. The two-dimensional classifier was designed by taking also into consideration the number of days after the onset of symptoms, with an estimated sensitivity and specificity of 91.64% and 92.46%. The performance of the two-dimensional classifier was validated using an independent test set of standard samples from the remaining 50 patients. The classifications of the independent set of samples determined by the two-dimensional classifiers were further validated by comparing with two other dengue classification methods: hemagglutination inhibition (HI) assay and an in-house anti-dengue IgG-capture ELISA method. The decisions made with the two-dimensional classifier were in 100% accordance with the HI assay and 96% with the in-house ELISA. Once acute dengue infection has been determined, a 2-D classifier based on common dengue virus IgG kits can reliably distinguish primary and secondary dengue infections. Software for calculation and validation of the 2-D classifier is made available for download.
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影响因子：
9.4
作者：
Matheus, S;Deparis, X;Dussart, P
通讯作者：
Dussart, P
DOI：
10.4269/ajtmh.1999.60.693
发表时间：
1999-04-01
影响因子：
3.3
作者：
Vaughn, DW;Nisalak, A;Devine, PL
通讯作者：
Devine, PL
DOI：
10.4269/ajtmh.1988.38.172
发表时间：
1988-01-01
影响因子：
3.3
作者：
BURKE, DS;NISALAK, A;SCOTT, RM
通讯作者：
SCOTT, RM
影响因子：
8.8
作者：
Miagostovich, MP;Nogueira, RMR;Vorndam, V
通讯作者：
Vorndam, V
影响因子：
56.9
作者：
HALSTEAD, SB
通讯作者：
HALSTEAD, SB