Optimizing Hepatitis B Surface Antigen Confirmation Thresholds by Chemiluminescence Microparticle Immunoassay on the Architect i1000SR
Year: 2025
Type: article
Abstract: Objective: To establish an optimal confirmation zone for initial hepatitis B surface antigen (HBsAg) results obtained via Chemiluminescence Microparticle Immunoassay (CMIA) on the Architect i1000SR platform, aiming to enhance diagnostic accuracy and reduce unnecessary confirmatory testing and associated costs. Methods: A retrospective-prospective mixed study was conducted on 231 serum samples analyzed at the Centre Pasteur of Cameroon between April 2018 and December 2019. Initial results obtained using the Architect HBsAg Qualitative II assay were confirmed through the Architect HBsAg Confirmatory test. Samples encompassed a broad range of signal-to-cutoff (S/CO) ratios (0.9 – >500). Confirmation rates were analyzed across intervals. Fisher’s exact test with Bonferroni correction was applied to assess statistical differences. Results: Of the 231 samples meeting inclusion criteria, 172 (74.5%; 95% CI: 68.3–79.9) were confirmed reactive, representing 74.8% of initially reactive samples (172/230). Confirmation rates were lowest in the 1.00–1.10 interval (9.1%) and the 1.10–10.00 interval (48.8%), both significantly lower than for samples above 200 S/CO (p < 0.0001). All samples above 200 S/CO were confirmed positive. The highest unconfirmed S/CO value observed was 170.01, supporting the effectiveness of the defined confirmation range (S/CO 0.90–200). Conclusion: The optimal confirmation zone was defined as 0.90–200 S/CO. Confirmatory testing below this threshold is essential, while values >200 can be considered definitively positive. Implementing this strategy can reduce costs, streamline workflow and turnaround times especially in resource-limited settings without compromising accuracy.
Source: Archives of Case Reports
Authors: Jeanne Manga-Mbeti, Grace Dina, Annie Epote, Fatimatou Ndjoko, Jean Philippe Atangana Omgba, Laetitia Sado Mbakam, Ghislain Landry Lonmi Ngassam, Laure Ngono, Elodie Edinga, Suzanne Belinga
Language: English
Topic: Hepatitis B Virus Studies
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4414587476