B-108 Performance evaluation of ANCA and anti-GBM antibody test on a BioPlex 2200 system
Bibliographic record
Abstract
Abstract Background Anti-neutrophil cytoplasmic antibodies (ANCA) including anti-MPO and anti-PR3 are important serum markers for the diagnosis of ANCA-associated vasculitides. Goodpasture’s syndrome is a rare autoimmune disease affecting lung and kidney, and it is associated with anti-glomerular basement membrane (GBM) antibody. These 3 antibodies play a crucial role in the diagnosis of autoimmune vasculitis and can be screened by solid phase immunoassay followed by confirmatory immunofluorescence assay (IFA). The BioPlex 2200 multiplex bead system is a solid phase immunoassay; the Vasculitis kit allows simultaneously detection of ANCA and anti-GBM antibody in a single run. In this study, we evaluated the analytical performance of BioPlex 2200 vasculitis panel as a primary screening method for autoimmune vasculitis. Methods As an FDA-approved assay, the following manufacturer-claimed performance parameters were verified per relevant CLSI guidelines: precision, linearity, dilution, method comparison, and reference interval (cutoff). Complex precision was conducted using two levels of QC across the cutoff (1.0 antibody index, AI) in a 2x2x5 design. A calibrator set was used to verify assay linearity. Four dilution factors (2, 4, 10, 20) were verified by serial manual dilution of the pooled patient samples. A quantitative method comparison was performed with an external lab using the same assay. In addition, we also compared the qualitative result interpretation between BioPlex assay and ELISA (Euroimmun) or IFA. 30 serum samples from healthy donors were used to verify the cutoff value. According to the literature and CAP survey criteria, the total allowable error of all 3 analytes was set at ±30%. Results were analyzed by EP Evaluator (Data Innovations). Results The total CV% of ANCA was < 5%, and the between-day CV% of anti-GBM was slightly higher but < 10%. All 3 assays demonstrated linearity (slope: 0.966 to 1.02, intercept: -0.13 to 0.02, observed error: 7.90% to 8.80%) and accuracy across manufacturer-claimed AMR (0.2-8.0 AI). However, the linearity was not retained after dilution due to a significantly increased recovery (> 110%). The BioPlex method run in the local lab and reference lab were comparable quantitatively (slope: 0.989 to 1.010, intercept: -0.39 to 0.53, R: 0.984 to 0.999). In the qualitative result interpretation, ANCA was highly consistent between BioPlex assay and ELISA (Kappa: 0.789 to 0.943). Although BioPlex assay detected few anti-GBM positive samples than ELISA, it correlated well with the gold standard IFA (sensitivity: 100%, specificity: 80%). Finally, all 30 healthy donor samples were negative for the 3 autoantibodies (< 0.2 AI), verifying the manufacturer-claimed cutoff. Conclusion The BioPlex 2200 vasculitis panel meets the manufacturer-claimed precision and AMR. The accuracy has been verified by method comparison with a reference lab using the same methodology. As a semi-quantitative test, dilution compromises linearity and leads to increased recovery. The qualitative interpretation of BioPlex assay result is consistent with ELISA for ANCA tests, whereas the anti-GBM by BioPlex assay correlates well with IFA except for some false positive cases. In conjunction with reflexing IFA tests on the positive samples, BioPlex 2200 vasculitis panel can be utilized as a primary screening method for autoimmune vascuiltis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".