Acute kidney injury in decompensated cirrhosis
Bibliographic record
Abstract
BACKGROUND: Hepatorenal syndrome in cirrhosis with ascites is a well-defined entity with significant morbidity and mortality. It is unclear whether milder degrees of acute kidney injury (AKI), defined as a serum creatinine increase of over 26.4 μmol/l (0.3 mg/dl) or by 50% from baseline, also has a negative impact on patient outcomes. OBJECTIVES: To determine the prevalence of AKI in cirrhosis with ascites and the impact of AKI on patient outcomes. DESIGN: Patients with cirrhosis with ascites and baseline serum creatinine less than 110 μmol/l, and no evidence of structural renal disease, prospectively underwent 4-6-weekly blood work-up for full blood count, biochemistry and liver function. Clinical assessments occurred every 4 months for the development of AKI and other complications. RESULTS: 90 patients (mean age 55.8 ± 0.8 years) with a mean follow-up of 14.05 ± 1.07 months were enrolled. 82 episodes of AKI occurred in 49 patients, with the majority of episodes precipitated by a disturbance in systemic haemodynamics. The mean peak serum creatinine of the AKI episodes was within the laboratory's normal range. 73 episodes of AKI resolved; nine did not. There was no clear clinical predictor for the development or resolution of AKI. Despite resolution of most AKI episodes, a gradual and significant increase in serum creatinine and a gradual reduction in mean arterial pressure were observed during follow-up, associated with a significant reduction in survival compared with non-AKI patients. CONCLUSION: Minor increases in serum creatinine are clinically relevant and can adversely affect survival. Every effort should be made to avoid precipitation of AKI in cirrhosis and ascites.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".