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Record W2060449244 · doi:10.1093/ndt/gfl353

IgM monoclonal protein presenting as pseudohypercreatininaemia

2006· letter· en· W2060449244 on OpenAlexaff
Leroy Storsley, Alexander Fine, J. Krahn

Bibliographic record

VenueNephrology Dialysis Transplantation · 2006
Typeletter
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsUniversity of ManitobaSt. Boniface HospitalDalhousie University
Fundersnot available
KeywordsMedicineMonoclonalMonoclonal antibodyImmunologyAntibody

Abstract

fetched live from OpenAlex

Sir, A 63-year-old male was referred for a serum creatinine that was noted to be elevated and increasing. Routine blood tests at a community-based laboratory had revealed a urea of 7.1 mmol/l and creatinine 238 μmol/l (normal 71–133) performed on dry slide technology (DT 60, Johnson & Johnson Clinical Diagnostics). Two days later, his creatinine was 255 μmol/l on the same instrument. Renal sonogram and urinalysis were normal. A 24 h urine sample showed 0.08 g/day protein, and a creatinine clearance of 45 ml/min, based on a serum creatinine of 187 μmol/l (Vitrous 250, Johnson & Johnson Clinical Diagnostics). A repeat creatinine 3 months later on the same technology showed his creatinine to be 305 μmol/l. He was referred to us for further evaluation. Past medical history and review of systems was unremarkable; he was on no regular medications, and denied the use of tobacco or alcohol. Repeat creatinine was 99 μmol/l (using the Hitachi 717 (Roche Diagnostics) employing a Jaffe reaction). Other labs included a normal haemoglobin, platelet count, electrolytes, calcium, phosphorus and urea. We subsequently measured creatinine in repeated and duplicate samples on the DT 60, the Vitrous 250, the Jaffe reaction and another enzymatic method ( Table 1 ). His total protein was slightly elevated at 86 g/l, and so a serum protein electrophoresis was ordered, revealing a monoclonal IgM κ at a concentration of 28.6 g/l. A presumed diagnosis of pseudohypercreatininemia secondary to a monoclonal protein was made. A radiopharmaceutical glomerular filtration rate was measured to be 93 ml/min, using Tc-99m DTPA. A computed tomography scan and bone marrow biopsy revealed no evidence of Waldenstrom's macroglobulinaemia or multiple myeloma. Creatinine values using different methods Creatinine values using different methods Three cases of elevations in serum creatinine secondary to a monoclonal IgM have been previously described in patients known to have Waldenstrom's macroglobulinaemia. These falsely elevated results occurred with an enzymatic assay (Roche Diagnostics) and were confirmed to be normal using high performance liquid chromatography (HPLC) [ 1 ]. Fortunately, this appears to be an uncommon problem, although possibly under-recognized. The mechanism remains unknown, although its occurrence with a number of different assays implies that there may be more than one. The previous report in the literature referred to an aqueous test method [ 1 ]. Our patients’ serum was tested with similar methods without any resulting interference. As clinicians who see patients frequently for elevated serum creatinine values, nephrologists must be aware of the limitations of this test. Pseudohypercreatininaemia secondary to a monoclonal protein should be considered in patients with an isolated creatinine elevation, particularly when associated with a normal urea, or an elevated total protein. Measuring the serum creatinine using a completely different method may prevent other unnecessary tests or procedures. Conflict of interest statement . None declared.

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)0.002
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0020.004
Open science0.0020.001
Research integrity0.0220.011
Insufficient payload (model declined to judge)0.0050.002

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 head0.016
GPT teacher head0.281
Teacher spread0.265 · 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 designCase report
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

Citations8
Published2006
Admission routes1
Has abstractno

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