The evaluation of low cut‐off index values of Elecsys® HIV combi PT assay in predicting false‐positive results. Issue 11 (25th August 2020) - Tang, Zhuoyun
Abstract: Objective: To analyze the results of different cut‐off index (COI) values of Elecsys ® HIV combi PT assay and to assess the role of COI in reducing the frequency of false‐positive results. Methods: We conducted a retrospective study of samples analyzed by Elecsys ® HIV combi PT assay, a 4th‐generation ECLIA, between 2016 and 2017. A total amount of 379 122 samples were collected for HIV (Human Immunodeficiency Virus) screening. Results: A total of 379 122 samples were analyzed. 2528 (0.67%) were positive by Elecsys ® HIV combi PT. Of these, 468 were false‐positive results, and most of them (94.87%) were in samples with 1 < COI < 15. The false‐positive rate was 0.12%. Patients with false‐positive samples were more distributed in elder ( P < .001) and female ( P < .001) than true‐positive specimens. The median COI in true‐positive specimens was (385.20), which is significantly higher than false‐positive specimens (2.08). The consistency between Elecsys ® HIV combi PT assay and 3rd‐generation and positive predictive value (PPV) increased with higher COI values. Cancer, infection, and neurological diseases were considered the potential confounding factors of HIV false‐positive results (19.44%, 11.11%, and 6.62%, respectively). Conclusion: Samples with low COI values, especially those contain confounding factors, need to be further scrutinized to determine whether the confounding factors may cause false‐positive problem. In addition, the hypothesis that low COI values may predict false‐positive results is valid. Abstract : A retrospective study carried out to analyze the results of different cut‐off index (COI) values of Elecsys ® HIV combi PT assay. We found that the samples with low COI values, especially those containing confounding factors, need to be further scrutinized to determine whether the confounding factors may cause a false‐positive problem. The hypothesis that low COI values may predict false‐positive results is valid.