Prophylactic Pancreatic Enzymes to Reduce Feeding Tube Occlusions
Bibliographic record
Abstract
BACKGROUND: Small-bore, feeding tube occlusion is reported to be as high as 23% to 35%. Pancreatic enzyme solution has been used to dissolve internal clots in feeding tubes. This study examined the prophylactic use of pancreatic enzyme solution with continuous enteral feeding in critically ill patients. METHODS: This was a randomized, unblinded trial conducted in an intensive care unit at a tertiary care hospital. Feeding tubes were randomized to receive pancreatic enzyme solution every 4 hours or usual care. Pancreatic enzyme solution contained lipase 8,000 units, amylase 30,000 units, protease activity 30,000 units, sodium bicarbonate 300 mg, and 5 mL warm sterile water. RESULTS: Ninety-five feeding tubes were followed up in 101 patients. Ten feeding tubes (9.9%) developed primary occlusions. Analysis revealed 2/52 (4%) of the tubes in the enzyme arm had occlusions, whereas 8/49 (16%) of control tubes had occlusions (p = .04). Time to occlusion was significantly longer in the pancreatic enzyme arm (p = .02). CONCLUSIONS: The use of prophylactic pancreatic enzymes may reduce the incidence of feeding tube occlusions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".