Specific Bile Microorganisms Caused by Intra-Abdominal Abscess on Pancreaticoduodenectomy Patients: A Retrospective Cohort Study
Bibliographic record
Abstract
We retrospectively collected PD patients with a performance of bile culture between 2007 and 2019 in our institute. As to bile culture, we used a swab to do intraoperative bile cultures after transection of the CBD. IAA was defined as the documental bacteriological culture from either a turbid discharge from the intraoperatively placed drain in patients with a clinical picture consistent with infection or a postoperative fluid collection managed by CT-guided placement of drains. A total of 1244 PD patients were identified, and 539 (43.3%) subjects with bile sampling were included for analysis. Among these study patients, 433 (80.3%) developed bile contamination (positive bile culture). Bile contamination showed a significantly higher rate of IAA compared to non-bile contamination (17.1% vs. 0.9%, p < 0.001). The rate of co-shared microorganisms in both bile and abscess was 64.1%. On the multivariate analysis, age and specific bile microorganisms (Enterococcus species, Escherichia Coli, Streptococcus species, Citrobacter species, and Candida) are significantly associated with development of IAA. Specific bile microorganisms are the highly significant factors associated with development of IAA. The strategy to prevent bile spillage during PD should be considered to minimize afterward contamination of the abdominal cavity and prevent IAA.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".