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Age-dependent cerebral hemodynamic effects of indomethacin in the newborn piglet

2004· article· en· W2099844905 on OpenAlexaff
Derek W. Brown, David Lee, Vazhkudai S. Kumaran, Ting‐Yim Lee

Bibliographic record

VenueJournal of Applied Physiology · 2004
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Conditions and Treatments
Canadian institutionsRobarts Clinical Trials
Fundersnot available
KeywordsHemodynamicsMedicineCerebral blood flowAnesthesiaIntraventricular hemorrhageDuctus arteriosusCerebral circulationBlood volumeSalineGestational ageInternal medicinePregnancyBiology

Abstract

fetched live from OpenAlex

With recent discussions in the literature regarding prophylactic use of early (within the first 12 h after birth), low-dose indomethacin to reduce the incidence and severity of intraventricular hemorrhage, knowledge pertaining to the cerebral hemodynamic effects of indomethacin in this age group is of significant interest. The cerebral circulation is known to undergo significant changes during the first few days of postnatal life. In the present study, we have investigated the hypothesis that postnatal adaptive changes influence the cerebral hemodynamic response to indomethacin in an age-dependent manner. Near-infrared spectroscopy with indocyanine green was used to measure cerebral hemodynamics, cerebral metabolic rate of oxygen, and cerebral oxygen extraction fraction in 39 newborn piglets. Piglets were grouped by age and received either 0.2 mg/kg indomethacin (14 were <13 h of age and 12 were >13 h of age) or saline (8 were <13 h of age and 5 were >13 h of age) infusions. In a subgroup of indomethacin-treated piglets (9 less than and 7 greater than 13 h of age), Doppler flow ultrasound was used to diagnose and monitor the presence and persistence of patent ductus arteriosus. Age was a significant factor in the cerebral hemodynamic response to indomethacin with piglets <13 h of age exhibiting delayed increases in cerebral blood flow and cerebral blood volume at 150 min post-indomethacin infusion.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.879
Threshold uncertainty score0.258

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)0.0000.000

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 head0.005
GPT teacher head0.236
Teacher spread0.230 · 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 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

Citations8
Published2004
Admission routes1
Has abstractyes

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