Analysis for Candida albicans in samples of intravenous lipids administered to premature infants with the goal of optimizing the use of the 1.2 µm filter
Bibliographic record
Abstract
Introduction: Introduction: parenteral nutrition is a mixture of macro and micronutrients necessary for the premature infant who cannot be fed enterally. The binary mixture contains carbohydrates, amino acids and micronutrients in one bag and intravenous lipids in another. The latter are more susceptible to microbial contamination, especially by Candida albicans. For this reason, many professional associations typically recommend the use of a single filter in line "Y"; however, this has not yet become standard hospital practice. Aim: to determine the presence of Candida albicans in devices that contain intravenous lipids used in neonates and relate it to the correct use of the 1.2 µm filter. Method: three groups of samples consisting of the remains of a lipid solution (ML) administered to the premature patient for 24 h seeded on Sabouraud agar organized as follows: (ML1), lipid solution obtained directly from the ethinyl vinyl acetate bag were evaluated. (ML2): filtered lipid solution with a 1.2 µm device connected directly to the catheter. (ML3): solution of lipids intentionally contaminated with Candida and subsequently filtered. Results: Candida albicans was not detected in any of the filtered simples (ML2 and ML3) and also not detected in any of the unfiltered simples (ML1). Conclusions: there was no presence of Candida albicans in the lipid solutions used directly with a 1.2 µm filter, however, the use of a single 1.2 µm filter in line "Y" is recommended according to international standards to save the health system.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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) | 0.000 | 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 teacher head, 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".