Improved survival of cirrhotic patients with infections in Australian and New Zealand <scp>ICUs</scp> between 2005 and 2017
Bibliographic record
Abstract
BACKGROUND & AIMS: Changes in outcomes of cirrhotic patients admitted to intensive care units (ICUs) with infections are poorly understood. We aimed to describe changes over time in outcomes for such patients and to compare them to other ICU admissions. METHODS: Analysis of consecutive admissions to 188 ICUs between 2005 and 2017 as recorded in the Australian and New Zealand Intensive Care Society Centre for Outcome and Research Evaluation Adult Patient Database. RESULTS: Admissions for cirrhotic patients with infections accounted for 4645 (0.6%) of 813 189 non-elective ICU admissions. Hospital mortality rate (35.5%) was significantly higher compared with other cirrhotic patients' admissions (28.5%), and other ICU admissions for infection (17.1%, p < .0001), and increased to 52.2% in the presence of acute-on-chronic liver failure (ACLF). Hospital mortality in cirrhotic patients' ICU admissions for infection decreased significantly over time (annual decline odds ratio, 0.97; 95% CI, 0.95-0.99, p = .002). There was a comparable reduction in-hospital mortality rates over time in other ICU admissions for infections and other cirrhotic patients' ICU admissions. However, mortality rates did not change over time in the ACLF subgroup. Median hospital and ICU length of stays for cirrhotic patients' ICU admissions for infections were 12.1 and 3.5 days, respectively, and decreased significantly by 1 day every 4 years in-hospital survivors(p < .0001). CONCLUSION: Hospital mortality in ICU admissions for cirrhotic patients with infection is double that of non-cirrhotic patients with infection but has declined significantly over time. Outcomes in the subgroup with ACLF remained poor without significant improvement over the study period.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".