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Record W2138962219 · doi:10.5430/crim.v1n2p45

A case of coxsackie B virus infection leading to multi-organ inflammation: Myopericarditis and acute liver failure

2014· article· en· W2138962219 on OpenAlexaff
Samad Zaheeruddin, Najeebah A. Bade, Sandeep M. Jani, Monvadi B. Srichai

Bibliographic record

VenueCase Reports in Internal Medicine · 2014
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Immunology Research
Canadian institutionsGeorgetown Hospital
Fundersnot available
KeywordsMyopericarditisMedicineMyocarditisAcute pericarditisPericarditisVirusImmunologySerologyHepatitis B virusVirologyInternal medicineAntibody

Abstract

fetched live from OpenAlex

Myopericarditis refers to the development of acute pericarditis with myocardial involvement. Viral infections, including Coxsackie B virus, are amongst the most common causes of myopericarditis. The Coxsackie B viruses are known to have a role in the development of a number of clinical diseases including but not limited to cardiac disease, central nervous system infections, ocular infections, pleurodynia, gastrointestinal disease, and viral exanthems. In individual cases, Coxsackie B virus may also be associated with acute hepatitis. We describe a rare case of a 41 year-old female with multi-organ inflammation caused by Coxsackie B virus leading to myopericarditis, pleuritis, and acute liver failure. Laboratory and imaging data helped to make diagnosis of myopericarditis and appropriate management was initiated. Shortly after the patient developed acute liver failure with an INR greater than 13 and AST and ALT of 7946 u/L and 5684 u/L, respectively. Viral serology revealed Coxsackie B 1, 2, and 6 serum antibody positivity (> 1:32 titer) indicating acute or recent infection. A complete workup for other liver failure etiologies was negative. The case shows the significance of awareness and recognition of the possible complications of Coxsackie B virus infection including liver failure.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.261
Threshold uncertainty score0.884

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.029
GPT teacher head0.344
Teacher spread0.314 · 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 teacher head, 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

Citations3
Published2014
Admission routes1
Has abstractyes

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