Acute Liver Failure in a Patient Travelling From Asia: The Other Face of the Coin of Infectious Disease
Bibliographic record
Abstract
We present a case of a 63-year-old male who had travelled from South India to United Kingdom (UK) visiting relatives. He had developed episodes of diarrhea, vomiting and fevers while travelling and on assessment in hospital, mild abdominal distension was noted with rapid deterioration to hypovolemic shock. Initial blood test showed a low platelet count with deranged liver function tests (LFTs). It was noted that during admission to intensive care unit (ICU), blood continued to ooze from a previous surgical laparoscopy wound, central and arterial line access sites. Blood results revealed ongoing derangement of clotting and LFT. Computed tomography (CT) scan showed possible acute cholecystitis and a laparoscopy showed an ischemic-looking liver and gut but no significant gallbladder abnormality. The virology screen was positive for dengue virus antibodies IgM and IgG. The patient developed multi-organ failure and deteriorated despite intensive support. Post mortem showed fulminant hepatic failure and acute tubular necrosis of kidneys.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| 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".