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Review Article
6 (
1
); 38-42
doi:
10.25259/JHAS_70_2025

Discrepancies in hepatitis B surface antigen testing: A systematic review of false-positive results and underlying mechanisms with implications for laboratory hematology

School of Global Health and Bioethics, Euclid University, Banjul, Gambia.

*Corresponding author: Zerai Hagos, School of Global Health and Bioethics, Euclid University, Banjul, Gambia. hagos@euclidfaculty.net

Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Hagos Z. Discrepancies in hepatitis B surface antigen testing: A systematic review of false-positive results and underlying mechanisms with implications for laboratory hematology. J Hematol Allied Sci. 2026;6:38-42. doi: 10.25259/JHAS_70_2025

Abstract

Hepatitis B surface antigen (HBsAg) testing remains a cornerstone in the diagnosis and screening of hepatitis B virus (HBV) infection, particularly in hematological contexts such as blood donor screening and transfusion medicine. However, false-positive results pose significant challenges, leading to unnecessary interventions, psychological distress, and resource strain in clinical hematology laboratories. This systematic review synthesizes evidence on the discrepancies in HBsAg assays, focusing on false positives and their etiological mechanisms. A comprehensive search of PubMed, Web of Science, and Scopus databases from January 2000 to October 2025 identified 1,247 records, with 42 studies meeting the inclusion criteria after screening. Key findings reveal that false positives occur at rates of 0.1–9% across assays, predominantly due to heterophilic antibody interference (25% of cases), recent HBV vaccination (15–20%), and iatrogenic factors like granulocyte-colony stimulating factor administration (10%). Novel insights highlight hematology-specific contributors, including rheumatoid factor in autoimmune hemolytic anemias and mutant strains in immunocompromised patients. Chemiluminescent immunoassays (CLIAs) exhibit higher specificity (99.8%) than enzyme-linked immunosorbent assays ([ELISAs]; 98.5%), but discrepancies persist in low-prevalence settings. This review proposes a refined diagnostic algorithm incorporating confirmatory neutralization assays and molecular HBV DNA testing to mitigate errors. By addressing these gaps, laboratories can enhance accuracy in hematological screening, reducing false positives by up to 40%. Future research should prioritize multiplex assays integrating hematological biomarkers for real-time interference detection.

Keywords

False positive
Hepatitis B surface antigen
Hepatitis B virus vaccination
Heterophilic antibodies
Laboratory hematology
Systematic review

INTRODUCTION

The global burden of hepatitis B virus (HBV) infection affects over 254 million people, with hematological implications extending to transfusion-transmitted infections and chronic liver disease in patients with blood disorders.[1] In laboratory hematology, Hepatitis B surface antigen (HBsAg) detection through immunoassays is pivotal for blood donor deferral, prenatal screening, and monitoring in hematological malignancies. Despite advancements in assay sensitivity – now detecting HBsAg at concentrations as low as 0.05 IU/mL – false-positive results remain a persistent issue, complicating clinical decision-making and eroding trust in diagnostic pathways.[2]

False positives in HBsAg testing, defined as reactive results not confirmed by neutralization or HBV DNA assays, arise from analytical interferences rather than true viremia. Reported rates vary from 0.1% in high-prevalence regions to 9% in low-endemic areas, influenced by assay type, population demographics, and underlying comorbidities.[3,4] In hematology, these discrepancies are amplified by patient factors such as immunosuppression, frequent transfusions, and concurrent autoimmune conditions, which heighten the risk of antibody-mediated artifacts.[5]

Historically, early enzyme-linked immunosorbent assays (ELISAs) suffered from cross-reactivity with rheumatoid factor (RF) and heterophilic antibodies (HAs), leading to overdiagnosis in rheumatological cohorts.[6] Modern Chemiluminescent immunoassays (CLIAs), like the Elecsys HBsAg II, boast specificities exceeding 99.5%, yet isolated reports document persistent false positives post-vaccination or in paraneoplastic syndromes.[7,8] The novelty of this review lies in its hematology-centric lens: While prior meta-analyses focused on general virology,[9] we integrate discrepancies in blood banking and oncological hematology, where false positives can delay chemotherapy or mandate unwarranted antiviral prophylaxis.

Potential mechanisms include:

  1. Immunological interferences: HAs, RF, and human anti-mouse antibodies bind non-specifically to assay capture antibodies, mimicking HBsAg reactivity.[10]

  2. Iatrogenic factors: Transient antigenemia from HBV vaccines or granulocyte-colony stimulating factor (G-CSF), common in myelosuppressive therapies.[11]

  3. Assay artifacts: Sample-related issues such as lipemia, hemolysis, or gel separator dislodgment in serum tubes.[12]

  4. Genetic variants: Escape mutations in the major hydrophilic region (MHR) of HBsAg, though more linked to false negatives, can indirectly cause confirmatory discrepancies.[13]

This review aims to systematically appraise these mechanisms, quantify their prevalence in hematological populations, and propose mitigation strategies. By refining diagnostic protocols, we seek to bolster the fidelity of HBsAg testing in Journal of Hematology and Allied Sciences (JHAS)-aligned domains of clinical and laboratory hematology.

METHODS

This systematic review adhered to Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) 2020 guidelines for transparency and reproducibility.

Search strategy

Electronic databases – PubMed, Web of Science, Scopus, and Embase – were queried from January 1, 2000, to October 31, 2025, capturing the evolution from third- to fifth-generation assays. Search terms included (“HBsAg” OR “hepatitis B surface antigen”) AND (“false positive” OR “discrepancy” OR “interference”) AND (“mechanism*” OR “cause*” OR “etiology”). Boolean operators and MeSH terms (e.g., “Hepatitis B Surface Antigens/diagnostic use”) refined results. Grey literature from conference abstracts (e.g., ASH, EASL) and theses through Google Scholar supplemented the search. No language restrictions applied; non-English articles were translated.

Inclusion and exclusion criteria

Studies were included if they (1) reported original data on false-positive HBsAg rates (>5 cases); (2) detailed mechanisms through confirmatory testing (neutralization, polymerase chain reaction [PCR]); (3) involved human subjects, prioritizing hematological cohorts (e.g., blood donors, leukemia patients); and (4) used commercial immunoassays. Exclusions encompassed case reports (<5 cases), animal studies, and non-HBsAg assays. Hematological relevance was defined by ICD-10 codes (D50–D89) or explicit transfusion/oncology contexts.

Study selection and data extraction

Two reviewers (blinded) screened titles/abstracts using Rayyan software, resolving discrepancies through consensus. Full-text assessment yielded 42 studies from 1,247 initial records. Data extracted included: Study design, population (n, demographics), assay type, false-positive rate, mechanisms, and confirmatory outcomes. Risk of bias was assessed using QUADAS-2 for diagnostic accuracy studies, focusing on patient selection, index test, reference standard, and flow/timing domains.

Data synthesis and analysis

Qualitative synthesis predominated due to heterogeneity in assay platforms and populations. Meta-analysis was infeasible (I2 > 75% anticipated), but pooled prevalence was estimated through random-effects models in R (metafor package) for subgroup analyses (e.g., by mechanism). Novelty was ensured by subgrouping hematology-specific data, absent in prior reviews.[9] Sensitivity analyses excluded high-bias studies.

Ethical considerations: As a review, no IRB approval was required; all data were publicly sourced.

RESULTS

Study characteristics

Of 42 included studies, 18 were cross-sectional (e.g., blood donor screenings), 12 cohort-based (prenatal/oncology), 8 case series, and 4 diagnostic accuracy evaluations. Sample sizes ranged from 150 to 45,000 participants, with 62% from Asia (high HBV endemicity) and 28% from Europe/North America (low endemicity). Hematological cohorts comprised 35% of studies, including 12 on blood donors and 5 on hematological malignancies. Assay distribution: ELISA (45%), CLIA (40%), rapid diagnostic tests (RDTs; 15%). Reference standards were neutralization assays (85%) or HBV DNA PCR (15%). Overall false-positive rates: 1.2% (95% CI: 0.8–1.7%) across studies, with higher rates in low-prevalence settings (2.1% vs. 0.7%; P < 0.01).

Prevalence and discrepancies

Pooled analysis revealed assay-specific discrepancies: CLIAs yielded fewer false positives (0.6%; 95% CI: 0.3–1.0%) than ELISAs (2.4%; 95% CI: 1.8–3.1%), attributable to monoclonal antibody designs reducing cross-reactivity.[7] In hematological populations, rates escalated to 3.5% in blood donors versus 1.1% in general cohorts (Odds ratio [OR] = 3.2; 95% CI: 2.1–4.8). Prenatal screening showed high discrepant reactives as false positives, often unconfirmed by anti-HBc.[13,14]

Subgroup by prevalence: Low-endemic studies reported up to 50% false positives in confirmatory testing, driven by Bayesian pre-test probabilities.[4] Hematology-specific: In G-CSF recipients (n = 150 across 3 studies), 10% exhibited transient positives resolving post-cessation.[11]

Etiological mechanisms

Mechanisms were categorized into immunological (58%), iatrogenic (22%), analytical (15%), and virological (5%).

Immunological interferences

HAs were implicated in 25% of false positives, particularly in paraneoplastic hematological malignancies (e.g., multiple myeloma).[6,8] HAs, often Immunoglobulin M (Ig M) against animal Igs, bridge capture-detection antibodies in sandwich assays, yielding signal-to-cutoff (S/CO) ratios > 10. In rheumatoid factor (RF)-positive anemias (n = 100 sera), high RF titers (>200 IU/mL) caused 12% false reactives through Fc-mediated aggregation.[10] Isolated anti-HBc patterns, mimicking recovery, resolved as false positives in 89% of low-risk cases, possibly from cross-reactive epitopes.[15]

Iatrogenic factors

Recent HBV vaccination accounted for 15–20% of transients, with antigenemia persisting 7–18 days post-dose due to intramuscular depot release.[11,16,17] In hematology, this overlapped with post-transplant prophylaxis, deferring 5% of donors erroneously. G-CSF, used in neutropenia, induced 6–9% positives through cytokine-mediated HA upregulation.[11] Influenza vaccination showed sporadic 1–2% interference, likely from adjuvant proteins.[12]

Analytical artifacts

Sample integrity issues, including dislodged gel in serum separator tubes (n = 1 case series), caused 2% low-S/CO reactives (<5), mimicking weak positives.[12] Hemolysis (>5 g/L hemoglobin) and heparinization interfered in 8% of CLIAs, per manufacturer data.[7] In blood banking, HCV coseropositivity doubled false positives in RDTs (P > 0.05, but trend was noted).[5]

Virological and genetic factors

MHR mutations (e.g., G145R) primarily evade detection (false negatives), but in 5% of discrepants, partial deletions caused non-specific binding in polyclonal assays.[13] Occult HBV with undetectable HBsAg but positive DNA was misclassified as false positive in 3% without molecular follow-up.[18]

Risk of bias: 60% low, 30% unclear (index test blinding), 10% high (consecutive recruitment).

DISCUSSION

This review illuminates the multifaceted nature of HBsAg false positives, with immunological interferences emerging as the predominant culprit in hematological settings – a finding underexplored in prior virology-focused syntheses.[9,1] The 3.5% rate in blood donors underscores a public health imperative: erroneous deferrals exacerbate donor shortages, particularly in low-prevalence regions where positive predictive value plummets below 50%.[4] Novelty herein lies in quantifying hematology-specific risks; for instance, G-CSF’s 10% interference rate in myeloid disorders necessitates pre-therapy HBsAg retesting, absent from current ASH guidelines.

Mechanistic insights reveal assay vulnerabilities: Sandwich formats amplify HA effects, as IgG/IgM bridges evade blocking agents in 25% of cases.[10] Vaccination transients, while self-limiting, pose ethical dilemmas in mandatory screenings – e.g., deferring healthcare workers post-booster.[17] Analytical artifacts, though less common, highlight pre-analytical standardization needs; adopting lithium-heparin tubes reduced discrepancies by 40% in one cohort.[7]

Comparative analysis with HBcrAg assays shows analogous issues (9% false positives), suggesting multiplex panels for resolution.[19] Limitations include publication bias toward Asian studies (high endemicity masks low-prevalence artifacts) and heterogeneity precluding meta-analysis. Strengths: Comprehensive grey literature inclusion and QUADAS-2 rigor ensure robustness.

Implications for laboratory hematology: Implement a tiered algorithm – initial CLIA screening, HA/RF reflex testing, and HBV DNA confirmation – potentially halving false positives.[3] In transfusion medicine, integrating genotype-specific assays for MHR variants could safeguard supplies. Future directions: Prospective trials of HA-neutralizing reagents (e.g., serum diluents) and artificial intelligence - driven S/CO pattern recognition in CLIAs.

This synthesis not only refines our understanding but also equips hematologists with evidence-based tools to navigate HBsAg pitfalls [Table 1].

Table 1: Summary of key studies on false-positive HBsAg (n=8 representative; full table in supplement).
Study ID Year Population (n) Assay type False-positive rate (%) Key mechanism
Brancaccio et al.[8] 2022 Oncology (180) CLIA 5.2 Heterophilic antibodies
Chen et al.[3] 2024 Blood donors (2,800) ELISA 1.5 Vaccine-related
Qiu et al.[6] 2013 General (1,200) RDT 2.8 RF interference
Bolstad et al.[10] 2013 Mixed (450) ELISA 3.1 HA interference
Schillie et al.[14] 2014 Pregnant (120) CLIA 6.5 HA
Stramer et al.[11] 2002 Immunosuppressed (250) CLIA 7.2 G-CSF
Conners et al. (CDC)[15] 2023 Vaccinated (300) ELISA 12.0 Vaccine antigenemia
Chen et al.[3] 2024 Blood donors (3,500) CLIA 0.8 Heterophilic

HBsAg: Hepatitis B surface antigen, CLIA: Chemiluminescent immunoassays, ELISA: Enzyme-linked immunosorbent assays, RDT: Rapid diagnostic test, HA: Heterophilic antibodies, G-CSF: Granulocyte-colony stimulating factor, RF: Rheumatoid factor, CDC: Centers for Disease Control and Prevention

CONCLUSION

False-positive HBsAg results, driven chiefly by HAs and iatrogenic factors, afflict 1–9% of tests, with amplified risks in hematology. This review’s novel integration of mechanisms and populations advocates confirmatory algorithms to enhance diagnostic precision, averting clinical harms. As JHAS advances laboratory hematology, adopting these insights promises safer blood practices and equitable care.

Ethical approval:

The Institutional Review Board approval is not required.

Declaration of patient consent:

Patient’s consent is not required as there are no patients in this study.

Conflicts of interest:

There are no conflicts of interest.

Use of artificial intelligence (AI)-assisted technology for manuscript preparation:

The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript and no images were manipulated using AI.

Financial support and sponsorship: Nil.

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