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Record W4281678047 · doi:10.3138/canlivj-2022-0007

Herpes simplex virus hepatitis in a renal transplant recipient seronegative pre-transplant

2022· article· en· W4281678047 on OpenAlexaffvenue
V V Nguyen, Konstantin Koro, Carla S. Coffin, Wenjie Wang, Naheed Syeda, Bonnie Meatherall, Samuel S. Lee

Bibliographic record

VenueCanadian Liver Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicHerpesvirus Infections and Treatments
Canadian institutionsUniversity of CalgaryUniversity of Alberta
Fundersnot available
KeywordsMedicineElevated transaminasesHerpes simplex virusLiver biopsySerologyGastroenterologyBiopsyHepatitisInternal medicineImmunologyFerritinVirologyVirusAntibody

Abstract

fetched live from OpenAlex

BACKGROUND: Herpes simplex virus (HSV) is a rare cause of acute viral hepatitis but has high mortality rates and primarily affects immunocompromised hosts. We report a case of HSV hepatitis in a 20-year-old female kidney transplant recipient who had 1000-fold elevations in transaminases on post-transplant day 14, and the strategies employed for diagnoses and treatment. METHODS: Routine laboratory, serological, and molecular viral testing was completed, and she underwent a bone marrow given initial suspicion of hemophagocytic lymphohistiocytosis (HLH). HSV serologic results and high transaminases triggered a liver biopsy. RESULTS: The patient presented with elevated transaminases (ALT 1731 U/L and AST 1400) and ferritin (1431 ug/L). Transaminases and ferritin peaked with an ALT of 6609 U/L, AST of 6525 U/L, and ferritin > 50000 ug/L. Bone marrow biopsy revealed no definitive HLH. HSV-DNA PCR of blood was positive, and she was empirically started on intravenous acyclovir 10mg/kg t.i.d. Liver biopsy confirmed the histological diagnosis of HSV hepatitis. CONCLUSIONS: Given the high mortality rates associated with HSV hepatitis, it is crucial to determine pre-transplant HSV status, initiate appropriate antiviral prophylaxis, and to have a low threshold for investigating for HSV hepatitis and initiating treatment in patients with a suspected diagnosis.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.518
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.015
GPT teacher head0.244
Teacher spread0.229 · 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.

Study designObservational
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

Citations2
Published2022
Admission routes2
Has abstractyes

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