How can we better identify early HIV infections?

被引:61
作者
Rosenberg, Nora E. [1 ,2 ]
Pilcher, Christopher D. [3 ]
Busch, Michael P. [3 ,4 ]
Cohen, Myron S. [1 ]
机构
[1] Univ N Carolina, Div Infect Dis, Chapel Hill, NC USA
[2] Univ N Carolina, Univ North Carolina Project, Lilongwe, Malawi
[3] Univ Calif San Francisco, Sch Med, San Francisco, CA USA
[4] Blood Syst Res Inst, San Francisco, CA USA
关键词
acute HIV infection; early HIV infection; fourth generation; multiassay algorithm; point of care; ADULTS SEEKING CARE; SUB-SAHARAN AFRICA; ANTIRETROVIRAL THERAPY; ANTIBODY SEROCONVERSION; ENZYME-IMMUNOASSAY; FIELD-EVALUATION; BACK-PROJECTION; UNITED-STATES; P24; ANTIGEN; VIRAL-LOAD;
D O I
10.1097/COH.0000000000000121
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Purpose of review Detection of early HIV infections (EHIs), including acute HIV infection (AHI), is important for individual health, prevention of HIV transmission, and measurement of HIV incidence. We describe markers of EHI, diagnostic strategies for detecting these markers, and ways to incorporate these strategies into diagnostic and HIV incidence algorithms. Recent findings For individual diagnosis in the USA and Europe, laboratory-based diagnostic algorithms increasingly incorporate fourth-generation HIV antigen tests, allowing for earlier detection. In some sub-Saharan African settings, symptom-based screening is being explored to identify subsets of persons at high risk for AHI. Point-of-care diagnostics designed for AHI detection are in the pipeline and, if validated, represent an opportunity for real-time AHI diagnosis. At the population level, multiassay algorithms are promising new strategies for estimating HIV incidence on the basis of several assays applied to cross-sectional samples. These algorithms can be developed to optimize performance, in addition to cost and logistical considerations. Summary There are important recent advances in detection of EHIs at the individual and population levels. Applying optimal combinations of tests in diagnostic and HIV incidence algorithms is urgently needed to support the multiple goals derived from enhanced detection and discrimination of EHIs.
引用
收藏
页码:61 / 68
页数:8
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