Evaluation of the Architect HIV Ag/Ab Combo Assay in a low-prevalence setting: The role of samples with a low S/CO ratio

被引:20
作者
Alonso, Roberto [1 ,3 ]
Perez-Garcia, Felipe [1 ]
Gijon, Paloma [1 ]
Collazos, Ana [1 ]
Bouza, Emilio [1 ,2 ,3 ,4 ]
机构
[1] Hosp Gen Univ Gregorio Maranon, Dept Clin Microbiol & Infect Dis, Doctor Esquerdo 46, Madrid 28007, Spain
[2] Inst Invest Biomed Gregorio Maranon, Madrid, Spain
[3] Univ Complutense Madrid, Dept Med, Madrid, Spain
[4] CIBER Enfermedades Resp CB06 06 0058, Madrid, Spain
关键词
Architect HIV Ag/Ab Combo Assay; HIV; Fourth-generation ELISA; Sample-to-cutoff ratio; S/CO; ANTIGEN/ANTIBODY COMBINATION ASSAY; FALSE-POSITIVE RATE; ANTIRETROVIRAL THERAPY; PERFORMANCE; INFECTION; TRANSMISSION; IMMUNOASSAY; POPULATION; ANTIBODIES; DIVERSITY;
D O I
10.1016/j.jcv.2018.04.002
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Background: The Architect HIV Ag/Ab Combo Assay, a fourth-generation ELISA, has proven to be highly reliable for the diagnosis of HIV infection. However, its high sensitivity may lead to false-positive results. Objectives: To evaluate the diagnostic performance of Architect in a low-prevalence population and to assess the role of the sample-to-cutoff ratio (S/CO) in reducing the frequency of false-positive results. Study design: We conducted a retrospective study of samples analyzed by Architect between January 2015 and June 2017. Positive samples were confirmed by immunoblot (RIBA) or nucleic acid amplification tests (NAATs). Different S/CO thresholds (1, 2.5, 10, 25, and 100) were analyzed to determine sensitivity, specificity, and negative and positive predictive values (NPV, PPV). ROC analysis was used to determine the optimal S/CO. Results: A total of 69,471 samples were analyzed. 709 (1.02%) were positive by Architect. Of these, 63 (8.89%) were false-positive results. Most of them (93.65%) were in samples with S/CO < 100. However, most confirmations by NAATs (12 out of 19 cases) were also recorded for these samples. The optimal S/CO was 2.5, which provided the highest area under the ROC curve (0.9998) and no false-negative results. With this S/CO, sensitivity and specificity were 100.0%, and PPV and NPV were 95.8% and 100.0%, respectively. In addition, the frequency of false-positive results decreased significantly to 4.15%. Conclusions: Although Architect generates a relatively high number of false-positive results, raising the S/CO limit too much to increase specificity can lead to false-negative results, especially in newly infected individuals.
引用
收藏
页码:43 / 47
页数:5
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