Improved Outcomes in Paediatric Intestinal Failure with Aggressive Prevention of Liver Disease
Bibliographic record
Abstract
BACKGROUND/PURPOSE: A protocol-driven care algorithm for the care of intestinal failure (IF) centred on therapies to prevent Parenteral Nutrition Associated Cholestasis (PNAC) was instituted in 2006. We report our results from 2006-2009, and compare them to the outcomes of our previous cohort of patients (1998-2006). METHODS: With regional ethics board approval, we have been prospectively gathering data on patient with IF cared for by our regional surgical unit. IF was defined as a residual bowel length of <40 cm or a requirement for PN for greater than 60 days. With the development of a multidisciplinary care team, a protocol-driven strategy to prevent PNAC was instituted in 2006, with aggressive introduction of enteral feeds, use of prophylactic antibiotics to prevent bacterial overgrowth, lipid reduction and use of a fish oil-derived lipid preparation for cholestasis and Serial Transverse Enteroplasty (STEP) if bowel dilation occurred. RESULTS: In the era from 1998-2006, 33 patients were identified, with a 72% survival; the direct bilirubin averaged 112+/-34 microM/L after 3 months of PN. 8/33 (27%) of patients received prophylactic antibiotics, and none received fish oil-based lipids. The most common causes of IF were gastroschisis (30%) and atresia (21%); 31 of 33 patients were infants. Average time to intestinal rehabilitation/death was 4.5+/-3 months. All deaths were related to sepsis or PN/liver failure. In the era from 2006-2009, 22 patients have been followed, with 100% survival*. Average bilirubin after 3 months of PN was 8+/-2.2 microM/L*, 20/22 (90%)* received prophylactic antibiotics, and 6/22(27%)* received fish oil-based lipid PN. The common causes of IF were gastroschisis 15/22 (68%) and atresia (27%). 18/22 are weaned from PN, and the average time to intestinal rehabilitation was 2.7+/-1.3 months, 4 patients underwent STEP procedures. (*p<0.05 by Fischer's exact or Student's t-test, data mean+/-SD). CONCLUSIONS: The institution of an aggressive protocol of advancing enteric feeds, oral antibiotic prophylaxis for bacterial overgrowth, fish oil-based lipid use, and the STEP procedure for dilated bowel has resulted in an apparent increase in survival and a remarkable improvement in liver function in a paediatric IF population. Further studies to define the relative importance of these therapies are recommended.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".