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Western Blot-Based Logistic Regression Model for the Identification of Recent HIV-1 Infection: A Promising HIV-1 Surveillance Approach for Resource-Limited Regions
المؤلفون المشاركون
Huang, Jiegang
Wang, Minlian
Huang, Chunyuan
Liang, Bingyu
Jiang, Junjun
Ning, Chuanyi
Zang, Ning
Chen, Hui
Liu, Jie
Chen, Rongfeng
Liao, Yanyan
Ye, Li
Liang, Hao
المصدر
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-01-14
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
Objectives.
Identifying recent infections is necessary to monitor HIV/AIDS epidemic; however, it needs to be further developed.
Methods and Results.
Participants were defined as having recent infection or older infection according to the estimated duration of HIV-1 infection and further assigned into training set and validation set according to their entering time points.
Western blot (WB) confirmatory test and BED-CEIA were performed.
The performance of the two methods on recent HIV-1 diagnosis was evaluated and compared.
81 subjects were enrolled in the training set and 72 in the validation set.
Relative grey ratios of p24, p39, p31, p66, gp41, and gp160 were significantly higher in older infected patients of the training set.
The present status of p55 was more frequently missing in recently infected patients in both sets.
The logistic stepwise regression analysis of WB method shows sensitivity, specificity, and accuracy of 93.02%, 92.11%, and 92.59%.
For BED-CEIA, they were 76.74%, 86.84%, and 81.48%.
In the validation set, overall agreement rate, sensitivity, and specificity were 88.46%, 84.78%, and 86.11% in the WB-based method and 50.00%, 84.78%, and 72.22% in the BED-CEIA method.
Conclusions.
WB-based method is a promising approach to predict recent HIV-1 infection, especially in resource-limited regions.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Huang, Jiegang& Wang, Minlian& Huang, Chunyuan& Liang, Bingyu& Jiang, Junjun& Ning, Chuanyi…[et al.]. 2018. Western Blot-Based Logistic Regression Model for the Identification of Recent HIV-1 Infection: A Promising HIV-1 Surveillance Approach for Resource-Limited Regions. BioMed Research International،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1126627
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Huang, Jiegang…[et al.]. Western Blot-Based Logistic Regression Model for the Identification of Recent HIV-1 Infection: A Promising HIV-1 Surveillance Approach for Resource-Limited Regions. BioMed Research International No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1126627
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Huang, Jiegang& Wang, Minlian& Huang, Chunyuan& Liang, Bingyu& Jiang, Junjun& Ning, Chuanyi…[et al.]. Western Blot-Based Logistic Regression Model for the Identification of Recent HIV-1 Infection: A Promising HIV-1 Surveillance Approach for Resource-Limited Regions. BioMed Research International. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1126627
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1126627
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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