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In Vivo Testing of a Right Heart Mini-Pump During a 24 Hour Period: Is it Safe?

2002· article· en· W1970919109 on OpenAlexaff
Xavier M. Mueller, Monique Augstburger, Yves Boone, Hendrik T. Tevaearai, ­Ludwig K. von Segesser

Bibliographic record

VenueASAIO Journal · 2002
Typearticle
Languageen
FieldMedicine
TopicCardiac and Coronary Surgery Techniques
Canadian institutionsCentre Hospitalier Universitaire de Sherbrooke
Fundersnot available
KeywordsHematocritMedicineCannulaCardiologyPerfusionHemoglobinArteryHeart rateInternal medicinePlateletAnesthesiaSurgeryBlood pressure

Abstract

fetched live from OpenAlex

A coaxial atrial cannula connected to a mini-centrifugal pump was developed to bypass the right heart during extreme exposures in off-pump coronary artery bypass surgery. This study was designed to test the effect of this pump, running during 24 hours, on blood elements to evaluate its use as a prolonged right heart support. In a calf model (body weight 68+/-5 kg), the pump was inserted and set to its maximal motor speed of 7000 rpm. Blood samples were drawn every 6 hours for blood gas analyses, as well as for hematology and chemistry. The right heart mini-pump performed perfectly at its maximal speed over the 24 hour period. Blood gas parameters and blood lactate levels reflected adequate tissue perfusion (baseline: 2.2+/-0.5 mmol/L vs. 24 h: 2+/-0.3 mmol/L; p = 0.64). Red blood cell count was stable (baseline: 9.8+/-1.4 x 10(12)/L vs. 24 h: 9.6+/-1.1 x 10(12)/L; p = 0.83). Free plasma hemoglobin remained below 100 mg/L throughout the experiment. Platelet count was stable during the first 6 hours and exhibited a tendency to drop thereafter (baseline: 749+/-104 x 10(9)/L vs. 24 h: 486+/-20 x 10(9)/L; p = 0.01). This right heart mini-pump appears to provide sufficient blood flow during a 24 hour period with minimal impact on red cell and moderate platelet damage after 6 hours. These results suggest a potential application of this system for postcardiotomy right heart support.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.155
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 head0.028
GPT teacher head0.268
Teacher spread0.240 · 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

Citations1
Published2002
Admission routes1
Has abstractyes

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