Thoracic Epidural Analgesia and Mortality in Acute Pancreatitis: A Multicenter Propensity Analysis
Bibliographic record
Abstract
OBJECTIVE: Recent preclinical and clinical data suggest that thoracic epidural analgesia, a technique primarily aimed at decreasing pain, might exert anti-inflammatory effects, enhance splanchnic and pancreatic blood flow during acute pancreatitis; however, the influence of epidural analgesia on mortality remains under investigated in this setting. This study was therefore designed to assess the impact of epidural analgesia on mortality in ICU patients with acute pancreatitis. DESIGN: Multicenter retrospective, observational, cohort study. SETTING: Seventeen French and Belgian ICUs. PATIENTS: All patients admitted to with acute pancreatitis between June 2009 and March 2014. INTERVENTIONS: The primary exposure was thoracic epidural analgesia versus standard care without epidural analgesia. The primary outcome was 30-day mortality. Propensity analyses were used to control for bias in treatment assignment and prognostic imbalances. MEASUREMENTS AND MAIN RESULTS: One thousand three ICU patients with acute pancreatitis were enrolled, of whom 212 died within 30 days. Epidural analgesia was used in 46 patients and was associated with reduced mortality in unadjusted analyses (4% vs. 22%; p = 0.003). After adjustment for baseline variables associated with mortality, epidural analgesia was still an independent predictor of 30-day mortality (adjusted odds ratio, 0.10; [95% CI, 0.02-0.49]; p = 0.004). Using propensity score analysis, the risk of all-cause 30-day mortality in patients with acute pancreatitis receiving epidural analgesia was significantly lower than that in matched patients who did not receive epidural analgesia (2% vs. 17%; p = 0.01). CONCLUSIONS: Among critically ill patients with acute pancreatitis, mortality at 30 days was lower in patients who received epidural analgesia than in comparable patients who did not. These findings support ongoing research on the use of epidural analgesia as a therapeutic intervention in acute pancreatitis.
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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 | 0.007 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".