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Record W3134027611 · doi:10.1093/jcag/gwab002.216

A218 A CASE REPORT OF PSEUDOHYPONATREMIA IN CHOLESTATIC LIVER DISEASE

2021· article· en· W3134027611 on OpenAlexaff
Michael Shpoliansky, Binita M. Kamath

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolism and Genetic Disorders
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsCholestasisInternal medicineMedicineGastroenterologyHyponatremiaAlagille syndromeLiver diseaseAscitesLiver function testsEndocrinology

Abstract

fetched live from OpenAlex

Abstract Background True hyponatremia in the setting of cholestatic liver disease may signify cirrhosis with fluid overload, and is therefore an ominous sign of deteriorating liver function. In pediatric liver transplant candidates, it is associated with increased waitlist mortality. Pseudohyponatremia however, is a falsely low measurement of plasma sodium when measured by indirect potentiometry. Pseudohyponatremia secondary to hypercholesterolemia is a phenomenon that occurs due to a reduced aqueous fraction of the plasma when levels of cholesterol or triglycerides are greatly elevated. Severe hypercholesterolemia due to Lipoprotein X accumulation may be the cause of pseudohyponatremia in biliary obstruction or cholestasis. Aims To describe a case of pseudohyponatremia secondary to hypercholesterolemia in an infant with Alagille syndrome (ALGS) and cholestatic liver disease. Methods This 7 month-old male with ALGS (confirmed JAGGED1 mutation) and severe cholestasis, failure to thrive, and pruritus, developed new-onset progressive hyponatremia as low as 121 mmol/L at an outside institution. He was therefore transferred to our center for liver transplant assessment due to concerns of progressive liver dysfunction and for management of the hyponatremia. Results Upon admission, the patient was jaundiced but euvolemic, with no evidence of ascites or peripheral edema. Laboratory work drawn at our institution showed conjugated bilirubin of 180 mmol/L, ALT 300 U/L, AST 250 U/L, and GGT 1200 U/L. INR was 1.1 and albumin of 35 g/L. The cholesterol was elevated above 16.8 mmol/L, with high triglycerides 2.68 mmol/L, and the serum appeared visibly lipemic. The sodium level was 138 mmol/L as measured by direct potentiometry due to the visible lipemia. The osmolality of 288 mmol/kg was normal with a normal osmolar gap. Urine osmolality and sodium were also normal. He underwent routine evaluation and was listed for a liver transplant due to the profound cholestasis and growth failure. Conclusions Pseudohyponatremia is an important entity to recognize when caring for patients with cholestatic liver disease and hyponatremia. Both direct potentiometry and indirect potentiometry are currently used for sodium testing in blood in biochemistry laboratories. These measurement techniques show good agreement as long as protein and lipid concentrations in blood are normal, however, hyperlipidemia is a well-recognized cause for error in sodium estimation. It is therefore imperative to evaluate apparent hyponatremia correctly, especially when the patient appears euvolemic clinically and by normal serum osmolality. In this clinical setting, pseudohyponatremia is the likely cause and a workup should be carried out to identify possible underlying etiologies, the most probable being hypercholesterolemia. Failure to recognize this phenomenon may lead to unnecessary and potentially harmful treatments and interventions. Funding Agencies None

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)0.000
metaresearch head score (Gemma)0.004
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: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0060.003
Science and technology studies0.0040.002
Scholarly communication0.0030.004
Open science0.0020.003
Research integrity0.0080.005
Insufficient payload (model declined to judge)0.0040.002

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 head0.005
GPT teacher head0.216
Teacher spread0.211 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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