Prevention of catheter-related blood stream infections in children with intestinal failure
Bibliographic record
Abstract
PURPOSE OF REVIEW: Catheter-related bloodstream infections (CRBSIs) account for a major source of morbidity in children with intestinal failure. Many of these patients require long-term central venous access, placing them at significant risk for these infections. The purpose of this review is to highlight the most current strategies and interventions for minimizing CRBSIs in this population. RECENT FINDINGS: Strategies for the prevention of CRBSIs continue to evolve, although most have not been specifically evaluated in children with intestinal failure. Some of the more recent interventions that are likely to be effective in this population include creating standardized protocols for catheter insertion and maintenance, ethanol lock therapy, and occasional use of antimicrobial catheters and dressings. SUMMARY: Every effort must be made to prevent CRBSIs in infants and children with intestinal failure. Disease specific risk factors must be considered when determining the best approach for infection prevention. Because of their long-term access needs, checklists and protocols to maintain strict sterile technique at the time of catheter insertion are useful. Additionally, these children often have some degree of intestinal bacterial overgrowth secondary to dilation and dysmotility. Therefore, the use of antimicrobial locks, catheters and dressings likely provide benefit for some patients.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".