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Record W4255014542 · doi:10.1016/s0976-0016(11)60021-5

Transfusion medicine

2011· article· en· W4255014542 on OpenAlexaboutno aff
RN Makroo

Bibliographic record

VenueApollo Medicine · 2011
Typearticle
Languageen
FieldMedicine
TopicNeonatal Health and Biochemistry
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHematocritRed CellRed blood cellSalineAnesthesiaBlood transfusionExpiration dateBlood volumePacked red blood cellsSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Critically ill neonates frequently require multiple small volume red blood cell (RBC) transfusions. Red blood cell units assigned to individual infants, used sequentially in small aliquots until the original expiration date, can substantially reduce donor exposures. In 1993, adenine–saline solution (AS-3) was introduced by the Canadian Red Cross as the red cell storage medium to replace the citrate phosphate–dextrose–adenine anticoagulant preservative solution (CPDA-1). We surveyed the safety and efficacy of using AS-3 split packs, stored up to 35 days, for premature infants. Units of packed cells were aseptically welded to three satellite bags using a sterile connecting device. When blood was requested for a small volume transfusion, the first satellite bag was used and the others were set aside for the same baby, for use till their expiration date of 35 days. Over a 1-year period, 56 infants received a total of 263 AS-3 transfusions from 97 donors with a mean of 4.7 transfusions and 1.7 donor exposures per infant. Following a 7-mL/Kg RBC transfusion, the mean rise in hematocrit (HCT) was 0.04, regardless of the age of the unit, mean change in serum potassium was −0.16 mmol/L and the mean change in total bilirubin was +1.86 μmol/L. The post-transfusion HCT was not reduced with the use of the older red cell packs. Designated AS-3-preserved split RBC packs effectively limit donor exposures, can safely be used for neonatal small volume transfusions and give a constant transfusion effect after up to 35 days of storage.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.396
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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.

Opus teacher head0.062
GPT teacher head0.315
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

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