Hyperbilirubinemia in Anicteric Blood?
Bibliographic record
Abstract
Plasma total bilirubin for a 65-year-old man was high [19.1 mg/dL (326 μmol/L)] on a Roche cobas 6000 analyzer. However, the specimen was anicteric and the icteric index was 1 (approximately 1 mg/dL or 17 μmol/L). A dilution study demonstrated nonlinear results. Direct bilirubin was measured as normal. The split specimen aliquots were further measured on analyzers from 5 different manufacturers (Table 1). The patient's total protein and albumin were 93 and 34 g/L (reference intervals: 60–80 and 38–50 g/L). ... ... The answers are below. The patient's serum IgG, IgM, and IgA concentrations were 3.9, 0.1, and 39.2 g/L, respectively. Protein electrophoresis revealed an IgA-λ paraprotein (38.3 g/L), a small Bence Jones λ in serum, and a prominent Bence Jones λ (27.3 g/day) in urine. IgG and IgM paraproteins have been suggested to interfere with total bilirubin assays, especially on Roche analyzers, by forming precipitants (1–5). In this case, IgA-λ and possibly Bence Jones λ involvement were indicated. To deal with pseudo-hyperbilirubinemia, naked eye examinations, spectrophotometric indices, different analytical measurements, and the clinical picture will be helpful (1).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".