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The relationship between cerebral and somatic oxygenation and superior and inferior vena cava flow, arterial oxygenation and pressure in infants during cardiopulmonary bypass*

2009· article· en· W2053256498 on OpenAlexaff
Michelle C. White, David Edgell, J. Li, J. Wang, Helen Holtby

Bibliographic record

VenueAnaesthesia · 2009
Typearticle
Languageen
FieldNeuroscience
TopicAnesthesia and Neurotoxicity Research
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsCardiopulmonary bypassMedicineOxygenationInferior vena cavaAnesthesiaCerebral blood flowBlood flowCardiologySuperior vena cavaMean arterial pressureInternal medicineBlood pressureHeart rate

Abstract

fetched live from OpenAlex

We investigated blood flow and regional oxygenation (rSO(2)) during cardiopulmonary bypass (CPB). Twenty infants (mean (SD) age 5 (3) months, weight 5.4 (1.6) kg) were prospectively studied. Total CPB and superior vena cava (SVC) flow were measured using Transonic Bypass Flowmeters, inferior vena cava (IVC) flow derived arithmetically and rSO(2) measured using Near Infra-Red Spectroscopy. Mean SVC flow was 51.3 (14.8) ml.kg(-1).min(-1) and mean IVC flow 62.5 (19.0) ml.kg(-1).min(-1). Mean cerebral rSO(2) was 71 (11)% and somatic rSO(2) 55 (13)%. Cerebral and somatic rSO(2) showed no correlation with SVC and IVC flow. Cerebral rSO(2) showed a positive correlation with P(a)co(2), mean arterial pressure (MAP) and haematocrit (p < 0.0001). Somatic rSO(2) showed a positive correlation with MAP and haematocrit (p = 0.01, p = 0.02). In conclusion, the distribution of blood flow during CPB varies. The most important factor affecting this is P(a)CO(2). Cerebral and somatic oxygenation are unaffected by flow but significantly influenced by MAP, haematocrit and P(a)CO(2).

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.574

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.029
GPT teacher head0.272
Teacher spread0.243 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations9
Published2009
Admission routes1
Has abstractyes

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