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Age dependent effects of haemorrhage on the arterial baroreflex control of heart rate in conscious lambs

2009· article· en· W130200906 on OpenAlexafffundabout
Mohamed Samhan, Qi Wei, Francine G. Smith

Bibliographic record

VenueThe FASEB Journal · 2009
Typearticle
Languageen
FieldMedicine
TopicHeart Rate Variability and Autonomic Control
Canadian institutionsUniversity of Calgary
FundersCanadian Institutes of Health Research
KeywordsBaroreflexHeart rateBlood pressureMedicineAnesthesiaMean arterial pressureCardiologyInternal medicine

Abstract

fetched live from OpenAlex

Previously, we showed that arterial pressure decreased after moderate haemorrhage in conscious lambs, whereas a compensatory increase in heart rate occurred only in newborns. These findings provided evidence to suggest an age‐dependent effect of haemorrhage on the arterial baroreflex control of heart rate. Therefore, in the present study, the arterial baroreflex was assessed in conscious lambs aged 14±1 days (G I, N=4) and 43±7 days (G II, N=6) before (control, C) and at 30 and 60 min after haemorrhage (30% of calculated blood volume). The following parameters governing the arterial baroreflex were evaluated: Heart rate range ( P1 ), slope coefficient ( P2 ), systolic arterial pressure at midpoint ( P3 ), minimum HR ( P4 ), and maximum gain ( G max ). Values are mean±SEM; *p<0.05 compared with C; †p<0.05 compared with G I. Predominant effects of haemorrhage were: a decrease in P1 which was greater in G I than G II, and a decrease in G max which was greater in G II than G I. Therefore, severe haemorrhage alters several parameters governing the arterial baroreflex control of heart rate, these effects being developmentally regulated. This research was supported by the Canadian Institutes of Health Research (CIHR).

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.254
Teacher spread0.242 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2009
Admission routes3
Has abstractyes

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