Mercury Content of Blood Transfusions for Infants With Extremely Low Birth Weight
Bibliographic record
Abstract
OBJECTIVES: To assess whether blood transfusions for infants with birth weights of 1000 g or less are a source of mercury and whether any mercury delivered through the transfusion is above the currently set oral reference dose. PATIENTS AND METHODS: We studied an observational cohort. Inclusion criteria included birth weight 1000 g or less and receipt of 1 or more packed red blood cell transfusions. Packed red blood cell units were tested prospectively for mercury levels. The quantity of transfused mercury was calculated on the basis of transfused volume and packed red blood cell mercury level. The resulting mercury level was compared with the reference dose as set by the Agency for Toxic Substances and Disease Registry, the World Health Organization, and the US Environmental Protection Agency. RESULTS: Thirty-seven infants (birth weight: 736 ± 157 g; gestational age: 25.5 ± 1.5 weeks) met the inclusion criteria. A total of 325 transfusions from 49 packed red blood cell units were administered. Mercury was detected in 40 units. The average mercury level in a packed red blood cell unit was 1.9 ± 2.6 μg/L (median: 0.9 μg/L [interquartile range: 0.3-2.5]). None of the infants received any mercury above the reference dose set by the Agency for Toxic Substances and Disease Registry and the World Health Organization. Twelve infants received 1 transfusion, and 5 infants received 2 transfusions above the Environmental Protection Agency reference dose during their entire hospitalization. CONCLUSIONS: Packed red blood cells are a source of mercury for infants. However, the amount delivered is low compared with currently set safety levels. The episodes in which mercury intake exceeded the reference dose were rare. However, without long-term follow-up, no conclusions can be made about the cognitive implications of these episodes.
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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 | 0.000 | 0.003 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".