Trace Elements’ Contamination of Pediatric Parenteral Nutrition Solutions in Canada: A Cause for Concern
Bibliographic record
Abstract
BACKGROUND: Trace elements' (TEs) contamination of parenteral nutrition (PN) solutions is an ongoing concern. The aims of this study were 1) to measure actual TE concentrations in PN admixtures compared with ordered concentrations and 2) compare TE intake with current recommendations. METHODS: PN admixtures from discarded bags were collected from patients receiving home PN and on inpatient wards. Samples were collected from 72 patients (39 inpatients, 33 receiving home PN). Age, percentage energy intake from PN, and PN orders were collected from patients' charts. PN samples were analyzed for TEs, including chromium (Cr) and manganese (Mn), and concentration measurements compared with ordered concentrations and current recommendations. RESULTS: Measured Cr and Mn concentrations were higher than ordered concentrations: 5.3 ± 1.7 vs 2.8 ± 1.5 µg/L; P < 0.0001 and 11.9 ± 5.9 vs 0.00 µg/L; P < 0.0001, respectively. Chromium contamination alone accounted for over 100% of current recommendations for patients 0-12 months and between 63% and 92% for children >1 year. Contamination of Mn provided all the measured Mn in PN admixtures, since Mn is excluded from PN orders at our institution. Between 70% and 120% of current Mn recommendations were met from contamination. CONCLUSIONS: Cr should be excluded from PN admixtures for children 0-12 months and only one-fourth the current recommendation should be added for pediatric patients >1 year. Manganese should also be excluded from PN admixture for pediatric patients but plasms monitoring 2-3 times per year is recommended for those on long-term PN.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".