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Record W4391873249 · doi:10.1093/jcag/gwad061.295

A295 A CHALLENGING DIAGNOSTIC CASE - SEVERE ACUTE HEPATITIS POTENTIALLY ASSOCIATED WITH COVID-19 IN AN IMMUNOCOMPETENT YOUNG ADULT

2024· article· en· W4391873249 on OpenAlexaff
Bishoy Lawendy, D. Hudson, Raja W. Abdul‐Karim

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2024
Typearticle
Languageen
FieldMedicine
TopicLiver Disease Diagnosis and Treatment
Canadian institutionsWestern University
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)MedicineAcute hepatitisHepatitis a virusVirologyPandemicBetacoronavirusIntensive care medicineHepatitisPathologyVirusOutbreakInfectious disease (medical specialty)Disease

Abstract

fetched live from OpenAlex

Abstract Background Severe hepatitis with liver enzymes in the thousands is usually associated with viral etiologies, toxins, vascular aetiologies, acute gall stones, autoimmune hepatitis, and Wilson disease. Acute hepatitis in the moderate range has been associated with COVID19 infection. Aims A potential case of severe hepatitis with initial ALT of 6863, who tested positive for COVID19. Acetaminophen ingestion confounded the presentation. Methods Case Report Results A 48-year-old woman, with history of Insomnia on Zopiclone, presented to Hospital with a 6-day history of fatigue, malaise, muscle aches and subjective fevers. She had a ten pack-years smoking history, consumed 8 alcoholic beverages weekly, used marijuana infrequently, and denied any herbal or naturopathic supplement usage. She was double vaccinated against COVID19 over a year ago. On the 2nd day of symptoms, she ingested 5 grams of Acetaminophen over a 24-hour period. Subsequently, she continued to use Acetaminophen, but did not exceed a daily dosage of 4 grams. On the 5th day, she presented to clinic and was found to have elevated liver enzymes: ALT 6863, AST 5785, ALP 62, GGT 60, and INR 1.1 with Bilirubin 8. She had nausea and emesis, prompting her to present to the hospital on the 6th day. The patient was alert and oriented, with mild tenderness in the right upper quadrant with no jaundice, ascites, peripheral edema, or encephalopathy. She had reactive lymphocytosis consistent with a potential viral infection. Testing for acute hepatitis A, B, and C, HIV, EBV, CMV, herpes simplex virus, and varicella-zoster was negative. COVID19 was detected by rapid antigen testing and confirmed via PCR. Blood and urine toxicology screens were unremarkable. Acetaminophen was detected at a low level of 67 μg/mL at presentation and given the diagnostic dilemma & concern for concomitant acetaminophen-associated liver injury she was started on N-acetylcysteine (NAC) infusion. Acetaminophen level was trended until undetectable. Ceruloplasmin and alpha-1 antitrypsin were unremarkable. Iron studies showed an elevated Ferritin 1032. Autoimmune workup was negative except for anti-dense fine speckled autoantibodies with 1:80 (low) titre. Abdominal ultrasound with doppler was normal. Her liver enzymes improved (Figure1) without signs of acute fulminant liver failure. She was discharged after 48 hours (day 7). In follow-up, her labs were: ALT 11, AST 16, INR 1.1, Bilirubin 6, and Ferritin 61. Conclusions To our knowledge, this is one of the first case reports of severe hepatitis, possibly due to COVID-19 in an immunocompetent adult, however, concerns for concomitant unintentional acetaminophen toxicity complicate the diagnosis. NAC was given to mitigate diagnostic error given the risk of anchoring bias. If patient condition had deteriorated liver biopsy would have been considered. 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)0.002
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 score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.008
GPT teacher head0.241
Teacher spread0.233 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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