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Pulsed‐Wave Doppler Blood Flow Through the Pulmonary Trunk as a Valuable Method to Determine Cardiac Output Following Myocardial Infarction

2017· article· en· W4389019882 on OpenAlexafffundabout
Mathew J. Platt, Jason S. Huber, Keith R. Brunt, Jeremy A. Simpson

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Function and Risk Factors
Canadian institutionsSaint John Regional HospitalUniversity of Guelph
FundersCanadian Institutes of Health ResearchHeart and Stroke Foundation of Canada
KeywordsCardiologyVentricleMedicineCardiac outputMyocardial infarctionInternal medicineStroke volumeDoppler effectBlood flowCardiac function curvePulmonary TrunkTrunkHemodynamicsHeart failureAortaPhysicsEjection fraction

Abstract

fetched live from OpenAlex

Background Cardiac output (CO) is a valuable measure of cardiac function, both clinically and in small animal models of cardiac injury (e.g., myocardial infarction; MI). As the product of stroke volume and heart rate, CO can be estimated from cardiac volumes acquired from one (i.e., M‐Mode) and two (i.e., single plane ellipsoid formula) dimensional echocardiographic images of the left ventricle (LV). Critically, deformations of the LV following MI (e.g., non‐uniform composition/contractile properties) invalidate the mathematical assumptions imperative to the accurate estimation of CO. Thus, the purpose of this study was to determine if pulsed‐wave Doppler flow through the pulmonary trunk – a structure independent of the remodeling in the ischemic LV – provided an alternative, and more accurate, method to quantify forward CO following MI. Methods Variations in CO were induced either by transverse aortic constriction (TAC) or MI. CO was calculated from classical LV‐dependent methods (M‐Mode and the single‐plane ellipsoid 2D formula), pulsed‐wave Doppler through the pulmonary trunk (pulmonary flow), and intra‐thoracic flow probe. Results In healthy mice, all three echocardiography methods (M‐Mode, 2D and pulmonary flow) correlated well with flow‐probe derived CO as confirmed by Bland‐Altman analysis. In MI, only pulmonary flow demonstrated both accuracy and precision, retaining the expected positive bias and demonstrating <10mls/min range difference compared to the 20–25mls/min range for either LV‐dependent method. Pulmonary flow CO in MI also demonstrated reduced inter‐ and intra‐user variability, and both an improved internal and external agreement (correlation coefficients) when compared against either M‐Mode or 2D CO calculations. Conclusions Pulmonary flow CO calculated from pulsed‐wave Doppler through the pulmonary trunk was an improved method of estimating CO over LV‐dependent formulae following MI. There was also a significant correlation between pulmonary flow, M‐Mode and 2D measures in healthy and TAC mice, demonstrating pulmonary flow was a comparable estimation of CO in these non‐ischemic conditions. This is relevant in the continuing attempt to more accurately assess cardiac function and particularly, grade preclinical therapies for treating MI. Support or Funding Information This work was supported by the Canadian Institutes of Health Research grant (MOP 111159) to J.A. Simpson. J.A. Simpson is a New Investigator of the Heart and Stroke Foundation of Canada.

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)0.001
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 score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.039
GPT teacher head0.302
Teacher spread0.263 · 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".

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Citations0
Published2017
Admission routes3
Has abstractyes

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