Exocrine pancreatic dysfunction in sepsis
Bibliographic record
Abstract
BACKGROUND: Sepsis in critical illness is associated with the progressive failure of multiple organs. This study aims to establish a correlation between the severity of sepsis and exocrine pancreatic dysfunction. MATERIALS AND METHODS: In a prospective cohort study pancreatic exocrine function was tested by means of a secretin-cholecystokinin test in 21 critically ill, mechanically ventilated patients with sepsis according to criteria of the American College of Chest Physicians/Society of Critical Care Medicine Consensus Conference Committee (ACCP/SCCM): 11 patients with shock and 10 patients without shock. Data were compared with seven healthy controls. RESULTS: The volume of duodenal fluid was not statistically different in the three groups. Sepsis patients without shock had significantly reduced content of amylase and chymotrypsin in duodenal juice compared with healthy controls (P < 0.01). Secretion of amylase, chymotrypsin, trypsin (P < 0.01 each) and bicarbonate in duodenal fluid (P < 0.05) was impaired in the septic shock patients when compared with the healthy controls. The content of trypsin was different between sepsis patients and septic shock patients (P < 0.05). Spearman correlation analysis was significant between the amylase secretion and the APACHE III and SOFA scores (P < 0.01). The SOFA score was also related to secretion of trypsin (P < 0.05). In patients on pressor therapy, use of norepinephrine was associated with a significant decrease in bicarbonate secretion (P < 0.05). CONCLUSIONS: Sepsis is associated with secretory pancreatic dysfunction that is worse in septic shock than in sepsis without shock. Impaired exocrine function was significantly correlated to the APACHE III and SOFA scores.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".