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Record W2023956801 · doi:10.1016/j.jtcvs.2010.05.057

Nonsurround, nonuniform, biventricular-capable direct cardiac compression provides Frank-Starling recruitment independent of left ventricular septal damage

2010· article· en· W2023956801 on OpenAlexaff
James Mau, Stuart Menzie, Yifei Huang, Michael P. Ward, Stephen N. Hunyor

Bibliographic record

VenueJournal of Thoracic and Cardiovascular Surgery · 2010
Typearticle
Languageen
FieldEngineering
TopicMechanical Circulatory Support Devices
Canadian institutionsInstitute of Particle Physics
FundersNational Health and Medical Research CouncilMedical Research Council
KeywordsMedicineInterventricular septumCardiologyPreloadInternal medicineDiastoleSystoleMyocardial infarctionHemodynamicsBlood pressureVentricle

Abstract

fetched live from OpenAlex

OBJECTIVES: Right ventricular (RV) function is compromised in 25% of left ventricular (LV) assist device recipients despite effective LV support. The risk of such dysfunction has been enhanced by an ischemic or undamaged interventricular septum; however, we found septal infarction to be paradoxically protective. We, therefore, evaluated the potential of nonsurround, nonuniform, biventricular-capable direct cardiac compression (DCC) (using the HeartPatch DCC) to overcome RV dysfunction in hearts with a normal or infarcted interventricular septum. METHODS: Ethanol ablation was used to create an interventricular septal infarction in 6 sheep, and 6 others served as the control sheep. The load-independent and in-series RV response to DCC was assessed using sonomicrometer heart dimension sensors. Triphenyltetrazolium perfusion delineated the septal damage. RESULTS: LV DCC caused a greater increase of the RV preload recruitable stroke work in the control sheep than in the study sheep (190.6 ± 23.5 and 135.0 ± 40.8 erg*10^3, respectively, P < .001). In contrast, RV end-systolic elastance increased more in the septal-ablated sheep with RV DCC (17.29 ± 3.40 vs 9.88 ± 2.01 mm Hg/mL in the control sheep, P < .001). Abnormal RV diastolic function before device insertion in the septal-ablated sheep was normalized with both passive DCC placement and after activation (RV diastolic relaxation constant 23.5 ± 2.3 and 20.0 ± 2.1 ms, respectively, P < .001). Both biventricular and RV DCC actuation increased the RV systolic pressure more in the septal-ablated sheep than in the control sheep (37.9 ± 6.3 and 47.7 ± 4.6 mm Hg vs 29.7% ± 4.8% and 40.3% ± 8.3%, respectively, P < .001). In contrast, the RV end-systolic diameter decreased more during LV DCC (70.1% ± 15.9% vs 90.5% ± 5.0%, P < .001). CONCLUSIONS: The HeartPatch DCC support of LV and RV function results from improvement of the systolic septal-lateral fractional change that is not influenced by septal infarction. The latter attenuated LV to RV device energy delivery during LV patch actuation but enhanced RV energy delivery during RV patch actuation. This DCC technique can provide effective support in high-risk RV failure situations arising from left ventricular assist device use.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.375
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.020
GPT teacher head0.247
Teacher spread0.226 · 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

Citations14
Published2010
Admission routes1
Has abstractyes

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