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21 A comparison of coronary haemodynamics in 40cc versus 50cc intra-aortic balloon pumps

2017· article· en· W2738077742 on OpenAlexaff
Natalia Briceno, Kalpa De Silva, Matthew Lumley, Balrik Kailey, Howard Ellis, Simon Redwood, Divaka Perera

Bibliographic record

VenueHeart · 2017
Typearticle
Languageen
FieldEngineering
TopicMechanical Circulatory Support Devices
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsMedicineCardiologyInternal medicinePercutaneous coronary interventionBalloonCoronary perfusion pressureConventional PCIAortic pressureEjection fractionBlood pressureIntra-aortic balloon pumpHemodynamicsCardiogenic shockIntra-Aortic Balloon PumpingSurgeryMyocardial infarctionHeart failureResuscitationCardiopulmonary resuscitation

Abstract

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Introduction Randomised trials have questioned the benefit of intra-aortic balloon pump (IABP) counterpulsation in high-risk PCI and shock. A larger capacity balloon has been introduced into routine clinical practice that has been shown to provide greater systolic unloading and diastolic augmentation compared with the standard balloon. Our aim was to investigate whether larger capacity balloons provide a greater augmentation in coronary flow compared with standard capacity balloons. Methods Seven patients with severe ischaemic cardiomyopathy were studied using a two-treatment, single sequence crossover protocol at the time of elective percutaneous coronary intervention (PCI). Simultaneous coronary pressure and Doppler measurements were undertaken in the target vessel after PCI using a Volcano Combowire, during unassisted and assisted IABP conditions, first with a 40cc IABP and then, five minutes later, with a 50cc IABP. Measurements were taken with intact autoregulation and with autoregulation temporarily disabled by administration of intracoronary adenosine. Coronary wave intensity analysis was performed to characterise the wave energies associated with balloon counterpulsation. Data are presented as mean ± SD. Results Patients were 65 (±12) years old (75% male). Left ventricular ejection fraction was 29% (±11%) with a coronary jeopardy score of 11 (±2) (maximum possible score=12). There was no difference between the 40cc and 50cc IABP balloons in average peak velocity (50.3±33.6 vs. 49.7±24.2 cm s −1 p=0.916), mean distal coronary pressure (83.4±16 vs. 85.2±20 mmHg, p=0.549) (see Figure 1), or microvascular resistance (181.6±52.9 vs. 207.5±83.4 mmHgcm −1 s, p=0.218) when autoregulation was disabled. Results were similar during basal assisted conditions. On wave intensity analysis, a late diastolic forward compression wave was identified during IABP support that was not seen during unassisted conditions. The magnitude of the IABP-forward compression wave was numerically greater with the 50cc balloon during basal conditions, which did not reach statistical significance (1.7±1.7 vs. 2.8±3.1, W m −2 s −2 × 10 5 , p=0.155) (see Figure 2). Conclusions The larger capacity balloon does not provide greater augmentation in coronary flow or reduction in microvascular resistance compared with the standard balloon during basal or hyperaemic conditions. We did not measure left ventricular afterload or myocardial oxygen demand in this study and cannot exclude a differential effect of the 50cc balloon on myocardial oxygen supply and demand. Abstract 21 Figure 1 Box plots demonstrating effects of 40cc and 50cc balloons on average peak velocity (A) and mean distal coronary pressure (B). Abstract 21 Figure 2 (A) Wave Intensity Profile during intra-aortic balloon pump assisted conditions, highlighting the temporally related wave energies with device inflation (IABP-FCW) and deflation (IABP-FEW). FCW=forward compression wave; BCW= backward compression wave; FEW=forward expansion wave, BEW= backward expansion wave. (B) Box plot demonstrating effects of 40cc and 50cc balloons on IABP-FCW during basal conditions.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.420
Threshold uncertainty score0.599

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 head0.041
GPT teacher head0.300
Teacher spread0.260 · 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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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