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Record W2806200146 · doi:10.1093/ajcp/143.suppl1.040

67: Susceptibility of Commonly Used Ferritin Assays to the Classic Hook Effect

2015· article· en· W2806200146 on OpenAlexaff
Pratistha Ranjitkar, Neil Harris, Daniel T. Holmes, Amy L. Pyle‐Eilola, Cameron J. Turtle, Dina N. Greene

Bibliographic record

VenueAmerican Journal of Clinical Pathology · 2015
Typearticle
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsSt. Paul's Hospital
Fundersnot available
KeywordsHookFerritinMedicineChemistryPathology

Abstract

fetched live from OpenAlex

The mechanism of false negative immunoassay results due to the hook/prozone effect is well known. However, it remains unclear which assays are most susceptible and at what concentrations the effect becomes significant. The analytes most vulnerable to hook-mediated false negative results are those with physiologic and pathologic concentrations spanning several orders of magnitude. Ferritin, an iron storage protein and an indicator of iron status, is an acute phase reactant with serum concentrations that can exceed 10,000 ng/mL (normal range 10-230 ng/mL). We had a series of specimens from a patient undergoing chimeric antigen receptor modified (CAR) T-cell therapy, which we expected would show a hook effect in ferritin assays. Given the lack of harmonization between immunoassay platforms, we sought to evaluate how ferritin quantification was affected by these very high ferritin concentrations in commonly used analyzers. Ferritin samples with concentrations ranging from approximately 150,000 ng/mL to approximately 999,100 ng/mL (n = 7) were measured on six platforms: Beckman DxI, Siemens Vista, Siemens Immulite XPi, Vitros 3600, Siemens Centaur and Roche Cobas e600. Each specimen was run neat and on dilution. If the concentration exceeded the AMR, additional dilutions were performed. The DxI showed falsely decreased ferritin results in all samples. The Centaur and Immulite showed falsely decreased results when concentrations were greater than 150,000 ng/mL while the Cobas and Vista had a much higher threshold, of greater than 500,000 ng/mL. The Vitros showed no evidence of hook effect. For each sample producing falsely decreased results, the following range of neat results were observed: 160-1,500 ng/mL (actual ≈999,000 ng/mL); 160-1,600 ng/mL (actual ≈930,000 ng/mL); 220-1,850 ng/mL (actual ≈750,000 ng/mL); 300-660 ng/mL (actual ≈450,000 ng/mL); 380-850 ng/mL (actual ≈330,000 ng/mL); 480-1,000 ng/mL (actual ≈240,000 ng/mL); 1,000 ng/mL (actual ≈160,000 ng/mL). In conclusion, ferritin concentrations greater than 400,000 ng/mL are rare but may become more common as CAR T-cell therapy gains broader use for treatment of hematologic malignancies. Most commercially available immunoassays are ill-equipped to accurately quantify the high concentrations of ferritin in these patients and will likely lead to the reporting of erroneous results.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.017
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.034
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.002

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.

Opus teacher head0.069
GPT teacher head0.417
Teacher spread0.347 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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