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ABSTRACT 237

2014· article· en· W2332661647 on OpenAlexaff
France Gauvin, Émilie Lefebvre, Niina Kleiber, Guillaume Émériaud, Mauro R. Tucci, Nancy Robitaille, J. Lacroix

Bibliographic record

VenuePediatric Critical Care Medicine · 2014
Typearticle
Languageen
FieldMedicine
TopicNeonatal Health and Biochemistry
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicineConcordanceIncidence (geometry)PediatricsPediatric intensive care unitBlood transfusionProspective cohort studySurgeryInternal medicine

Abstract

fetched live from OpenAlex

Background and aims: Red blood cell (RBC) transfusion is known to cause various respiratory complications. When respiratory dysfunction (RD) appears after a transfusion is administered, it is considered to be a transfusion-associated respiratory dysfunction (TARD). Aims: 1) to determine the incidence of TARD in a pediatric intensive care unit (PICU), 2) to compare the results obtained with two different definitions (diagnostic criteria) for RD. Methods: This is a prospective cohort study of all consecutive admissions to the PICU of Sainte-Justine Hospital over a one-year period. TARD was diagnosed when RD appeared or significantly worsened after the 1st RBC transfusion administered in PICU. Two independent adjudicators used the diagnostic criteria of Goldstein et al (Pediatr Crit Care Med 2005) and Proulx et al (Chest 1996) to diagnose RD. Agreement was measured using concordance percentage and kappa score. IRB approval was obtained for this study. Results: Among the 842 consecutive admissions to the PICU, 136 children received a transfusion. Among these, 58 (43%) patients presented a TARD according to Goldstein’s criteria, while 53 (39%) TARD were diagnosed according to Proulx’s criteria. Concordance between adjudicators for each item varied from 63% to 100%; kappa scores ranged from 0.63 to 1.00. Conclusions: TARD is frequent in PICU (39% to 43% depending on the definition used). While both definitions by Goldstein et al and Proulx et al gave similar results, the definition by Goldstein et al. was more sensitive.

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)0.003
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.473
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
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)0.0010.000

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 head0.017
GPT teacher head0.349
Teacher spread0.332 · 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 designObservational
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
Published2014
Admission routes1
Has abstractyes

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