Use of Oral N-Acetylcysteine (NAC) in Non-Acetaminophen-Induced Acute Hepatic Failure
Bibliographic record
Abstract
BACKGROUND: Acute liver failure (ALF) is a syndrome rather than a specific disease with several possible causes, and viral hepatitis is a major cause. The objective of the study was to assess the benefit of N-acetylcysteine (NAC) in non-acetaminophen-induced acute liver failure (NAI-ALF). METHODS: A total of six patients with a diagnosis of acute liver failure (ALF) were included in the study. All six patients received oral NAC for 72 hrs. The parameters evaluated were demographic, clinical, biochemical, outcome, and length of ICU and hospital stay. The primary outcome was a reduction in mortality with the use of NAC in NAI-ALF. The secondary outcomes were to evaluate the safety of NAC and assess factors predicting mortality. RESULTS: All patients improved and returned to normal or near-normal liver function with the use of NAC. No side effects were noted, and the use of NAC was associated with a shorter hospital stay. CONCLUSION: In patients with non-acetaminophen-related acute liver failure, N-acetyl-L-cysteine (NAC) significantly improves overall survival and also decreases the length of hospital stay.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".