IgM paraprotein interference with hemoglobin measurement using the CELL‐DYN 3500
Bibliographic record
Abstract
A 10-year-old male Labrador Retriever was presented for a 6-week history of polyuria, polydipsia, rear limb weakness, and ocular discharge. The dog had marked hyperproteinemia with an IgM monoclonal gammopathy, as determined by serum protein electrophoresis and immunoelectrophoresis. Cytologic findings in a lymph node aspirate were suggestive for lymphoma, which was confirmed and identified as B cell lineage by immunophenotyping and PCR antigen receptor rearrangement. In the CBC results, marked discrepancy was observed in the hemoglobin (HGB) concentration and MCHC obtained on a CELL-DYN 3500 analyzer (HGB 13.3 g/dL, MCHC 61.4 g/dL) as compared with an IDEXX LaserCyte analyzer (HGB 7.0 g/dL, MCHC 39.2 g/dL). To investigate this discrepancy, plasma was removed from an EDTA-anticoagulated blood sample from the patient, replaced with an equal volume of CELL-DYN diluent, and analyzed on the CELL-DYN. The resulting HGB (6.72 g/dL) and MCHC (33.5 g/dL) results were similar to those obtained initially on the LaserCyte. We concluded that precipitation of IgM paraprotein by the CELL-DYN lyzing reagent, which contains quaternary ammonium salts, falsely increased the spectrophotometric measurement of HGB on the CELL-DYN. The high MCHC was attributed to the false increase in HGB concentration. No interference with HGB measurement occurred with the LaserCyte, which uses a hypotonic solution to lyse RBCs before HGB determination. Paraprotein interference should be considered in veterinary patients with monoclonal gammopathy and unexpectedly high HGB and MCHC values.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".