Postoperative Delirium in the Intensive Care Unit Predicts Worse Outcomes in Liver Transplant Recipients
Bibliographic record
Abstract
BACKGROUND: Delirium is common in intensive care unit patients and is associated with worse outcome. OBJECTIVE: To identify early risk factors for delirium in patients admitted to the intensive care unit following orthotopic liver transplantation (OLT). METHODS: An observational study of patients admitted to the intensive care unit from January 2000 to May 2010 for elective or semi-elective OLT was conducted. The primary end point was delirium in the intensive care unit. Pre- and post-transplantation and intraoperative factors potentially associated with this outcome were examined. RESULTS: Of the 281 patients included in the study, 28 (10.03%) developed delirium in the intensive care unit at a median of two days (interquartile range one to seven days) after OLT. According to multivariate analysis, independent risk factors for delirium were intraoperative transfusion of packed red blood cells (OR 1.15 [95% CI 1.01 to 1.18]), renal replacement therapy during the pretransplantation period (OR 13.12 [95% CI 2.82 to 72.12]) and Acute Physiologic and Health Evaluation (APACHE) II score (OR per unit increase 1.10 [95% CI 1.03 to 1.29]). Using Cox proportional hazards models adjusted for baseline covariates, delirium was associated with an almost twofold risk of remaining in hospital, a fourfold increased risk of dying in hospital and an almost threefold increased rate of death by one year. CONCLUSION: Intraoperative transfusion of packed red blood cells, pretransplantation renal replacement therapy and APACHE II score are predictors for the development of delirium in intensive care unit patients post-OLT and are associated with increased hospital lengths of stay and mortality.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".