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Record W2540352427 · doi:10.1109/ultsym.2010.5935591

In-vivo and real-time ultrasonic monitoring of red blood cell aggregation with the structure factor size and attenuation estimator during and after cardiopulmonary bypass surgery in swine

2010· article· en· W2540352427 on OpenAlexaff
Guy Cloutier, Louise Allard, Boris Chayer, Julien Tripette, Louis P. Perrault, André Denault

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicFlow Measurement and Analysis
Canadian institutionsUniversité de MontréalMontreal Heart Institute
Fundersnot available
KeywordsCardiopulmonary bypassInflammationMedicineCardiac surgeryUltrasoundLipopolysaccharideIn vivoAnesthesiaSurgeryImmunologyBiologyRadiology

Abstract

fetched live from OpenAlex

Cardiopulmonary bypass (CPB) used during cardiac surgery induces a systemic inflammatory response. The severity of that response has been shown to be proportional to patient outcome. Markers of inflammation are typically obtained intermittently through blood testing with variable delay. Red blood cell (RBC) aggregation is a surrogate marker of inflammation that can be quantified with ultrasound. It could therefore represent a real-time inflammation monitoring instrument for patient care. However, the relationship between markers of inflammation during CPB and RBC aggregation is unknown. Seven swine underwent a 90 min procedure with CPB followed by a 120 min reperfusion. To induce a more severe inflammatory reaction, lipopolysaccharide (LPS) was administrated 24 h prior to surgery and just before the CPB in 4 pigs (LPS group). Other pigs composed the control group (CONT group, n=3). A RBC aggregation parameter was extracted from ultrasonic images acquired over the femoral vein. The mean fractal size of aggregates (D), which was determined with the Structure Factor Size and Attenuation Estimator (SFSAE), was calculated. Measurements were performed at the beginning (T <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">CPB15</sub> ), after 30 min. (T <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">CPB30</sub> ) and at the end (T <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">CPB90</sub> ) of CPB. Measurements were repeated during reperfusion after 30 and 120 min of recirculation (T <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">REP30</sub> and T <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">REP120</sub> ). The temporal evolution of interleukin 6 (IL-6), a blood inflammatory marker, was also assessed. D exhibited a significant increase from T <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">CPB30</sub> to T <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">REP120</sub> in all swine, matching IL-6 evolution. The LPS group presented significantly higher RBC aggregation during the reperfusion compared with control pigs, which indicates potentially high sensitivity of the SFSAE. This new cellular imaging modality may become a real-time non-invasive monitoring technique to anticipate inflammation-related complications during high-risk surgery or sepsis situation.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.331
Threshold uncertainty score0.346

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 head0.004
GPT teacher head0.170
Teacher spread0.167 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

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