Toward improved Lyme disease testing in Canada, beyond standard two-tiered testing and Borrelia burgdorferi : A pilot project

Background: Accurate diagnosis of Lyme disease remains challenging as early clinical manifestations are often nonspecific and erythema migrans lesions are not always present, necessitating reliable serological testing. In this study, we aimed to compare the agreements of various simulated serological standard two-tier testing (STTT) and modified two-tier testing (MTTT) algorithms, with particular focus on identifying trends and potential redundancies between assay configurations. Methods: A total of 342 patient serum samples were collected between 2021 and 2024 and subjected to testing using various kits. Evaluated enzyme immunoassays (EIAs) included ZEUS (VlsE1/pepC10 IgG/IgM, Whole-Cell IgG/IgM, IgG, and IgM) and DiaSorin LIAISON (Total Antibody Plus, IgG, and IgM). Immunoblots included Mikrogen IgG/IgM and Euroimmun IgG/IgM assays targeting Borrelia burgdorferi sensu lato . Twelve MTTT algorithms and six STTT algorithms were evaluated. Overall percentage agreements were calculated between algorithms to assess concordance in the final serological classification. Results: Overall seroreactivity varied by algorithm. Although one STTT algorithm yielded the greatest number of interpreted positives, MTTT algorithms on average yielded a greater number of samples interpreted as positive (165/342, 48.2%, 95% CI 43.0% to 53.5%) compared with the STTT algorithms (148/342, 43.3%, 95% CI 38.0% to 48.5%). The highest overall percentage agreements (>95%) among MTTT algorithms were only observed when both algorithms employed the same EIAs detecting combined IgG/IgM antibodies, but applied in reverse order (ie, first- and second-tier tests interchanged). Conclusion: MTTT algorithms demonstrated higher and more consistent positivity rates than STTT algorithms, although this should not be interpreted as evidence of superior accuracy in the absence of a reference standard. Concerningly, certain configurations of MTTTs showed high agreement with one another, likely attributable to shared antigen targets. These findings underscore the need for careful validation of assay combinations to avoid redundancy and optimize harmonized Lyme disease diagnostic strategies in Canada.

Authors

Institutions

Publication Details

Journal
Journal of the Association of Medical Microbiology and Infectious Disease Canada
Published
2026-10-05
DOI
https://doi.org/10.3138/jammi-2026-0010
Primary Topic
Vector-borne infectious diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Toward improved Lyme disease testing in Canada, beyond standard two-tiered testing and Borrelia burgdorferi : A pilot project

Twylla Bird-Gayson, Muhammad Golam Morshed, Dina Cruickshank, Antonia M. Di Castri et al.
Journal of the Association of Medical Microbiology and Infectious Disease Canada
Vector-borne infectious diseases
article

Toward improved Lyme disease testing in Canada, beyond standard two-tiered testing and Borrelia burgdorferi : A pilot project

Twylla Bird-Gayson, Muhammad Golam Morshed, Dina Cruickshank, Antonia M. Di Castri, Emily Kon, John A. Queenan, Heather G. Coatsworth, Clara Juandó‐Prats, Terrie Wainwright, Kenning Tran, Nancy Garvey
article en

Abstract

Background: Accurate diagnosis of Lyme disease remains challenging as early clinical manifestations are often nonspecific and erythema migrans lesions are not always present, necessitating reliable serological testing. In this study, we aimed to compare the agreements of various simulated serological standard two-tier testing (STTT) and modified two-tier testing (MTTT) algorithms, with particular focus on identifying trends and potential redundancies between assay configurations. Methods: A total of 342 patient serum samples were collected between 2021 and 2024 and subjected to testing using various kits. Evaluated enzyme immunoassays (EIAs) included ZEUS (VlsE1/pepC10 IgG/IgM, Whole-Cell IgG/IgM, IgG, and IgM) and DiaSorin LIAISON (Total Antibody Plus, IgG, and IgM). Immunoblots included Mikrogen IgG/IgM and Euroimmun IgG/IgM assays targeting Borrelia burgdorferi sensu lato . Twelve MTTT algorithms and six STTT algorithms were evaluated. Overall percentage agreements were calculated between algorithms to assess concordance in the final serological classification. Results: Overall seroreactivity varied by algorithm. Although one STTT algorithm yielded the greatest number of interpreted positives, MTTT algorithms on average yielded a greater number of samples interpreted as positive (165/342, 48.2%, 95% CI 43.0% to 53.5%) compared with the STTT algorithms (148/342, 43.3%, 95% CI 38.0% to 48.5%). The highest overall percentage agreements (>95%) among MTTT algorithms were only observed when both algorithms employed the same EIAs detecting combined IgG/IgM antibodies, but applied in reverse order (ie, first- and second-tier tests interchanged). Conclusion: MTTT algorithms demonstrated higher and more consistent positivity rates than STTT algorithms, although this should not be interpreted as evidence of superior accuracy in the absence of a reference standard. Concerningly, certain configurations of MTTTs showed high agreement with one another, likely attributable to shared antigen targets. These findings underscore the need for careful validation of assay combinations to avoid redundancy and optimize harmonized Lyme disease diagnostic strategies in Canada.

Journal of the Association of Medical Microbiology and Infectious Disease CanadaVol. 11(3)
University of British Columbia (CA), Public Health Agency of Canada (CA), Queen's University (CA), BC Centre for Disease Control (CA), Public Health Ontario (CA), Lakehead University (CA)
Openalex Percentile: Top 10%
Vector-borne infectious diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.