A Case Report of Hepatitis E Infection Leading to Acute Liver Failure and Transplantation
Bibliographic record
Abstract
Historically, Hepatitis E infection has been thought to follow a benign clinical course. We report a case of Acute Hepatitis E infection in a non-pregnant female, resulting in the development of Acute Liver Failure necessitating a liver transplant. Our patient was a 31 year-old Somalian born lady. She had lived in England for more than 15 years but had lived for a period of 8 months in Canada before returning to England two months prior her presentation. She lived in West London which is an ethnically diverse population. This patient initially presented to the Accident and Emergency Department with jaundice but was discharged to be followed-up in clinic. Outpatient blood investigations were done on two further occasions before the patient was fi nally admitted with steadily rising bilirubin levels. There was no history of travel to countries other than Canada and the U.K., no history of illicit drug use, herbal remedies, or blood transfusions. She had been married for 9 years with three children. There was also no history of any recent travel to any Hepatitis E endemic regions by any of her family members. On examination at presentation, she was markedly icteric with non-tender hepatomegaly. She was haemodynamically stable with no clinical evidence of hepatic encephalopathy. A full liver screen was requested and included tests for Hepatitis A, B and C, EBV, CMV, Autoantibodies, Ferritin, Caerulo-
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".