Epstein-Barr Virus-Associated Acute Liver Failure Present in a 67-Year-Old Immunocompetent Female
Bibliographic record
Abstract
Acute liver failure (ALF) is a rare illness with a high mortality rate. The only favorable management is emergent liver transplantation. About 13% of ALF cases have no clear etiology. Epstein-Barr virus (EBV)-associated ALF accounts for less than 1% of all ALF cases, and is seen mostly in adults younger than 40 years. There are only a few cases of EBV-associated ALF in elderly immunocompromised adults. We report a case of ALF in an immunocompetent 67-year-old woman caused by EBV infection that was treated by orthotopic liver transplantation (OLT). The diagnosis of EBV-associated ALF was established by EBV-DNA polymerase chain reaction (PCR) and EBV-encoded RNA (EBER-RNA) in situ hybridization (EBER-RISH). The patient is currently doing well 6 months after transplantation without any evidence of clinical EBV infection. This case illustrates the importance of early recognition and diagnosis of EBV-associated ALF by detection of EBV from liver biopsy, especially when patients are immunocompetent and other causes are excluded. To the best of our knowledge, this is the first case of EBV-associated ALF present in an immunocompetent elderly female. Gastroenterol Res. 2016;9(4-5):74-78 doi: http://dx.doi.org/10.14740/gr718e
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
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".