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Record W4415565712 · doi:10.1097/mat.0000000000002591

Dynamic Extracorporeal Life Support in a Patient With Left Ventricular Assist Device and Electrical Storm: A Case Report

2025· article· en· W4415565712 on OpenAlexaff
Joseph M. Brewer, Obaid Ashraf, Jordan Phillips, Robert S. Schoaps, Laura V. Swant, Mircea R. Mihu

Bibliographic record

VenueASAIO Journal · 2025
Typearticle
Languageen
FieldEngineering
TopicMechanical Circulatory Support Devices
Canadian institutionsQueen's University
Fundersnot available
KeywordsExtracorporeal membrane oxygenationExtracorporealVentricular assist deviceCardiopulmonary resuscitationExtracorporeal cardiopulmonary resuscitationLife supportHemodynamics

Abstract

fetched live from OpenAlex

Left ventricular assist device (LVAD)-supported patients experiencing electrical storm (ES) and cardiac arrest present unique management challenges. Venoarterial (VA) extracorporeal membrane oxygenation (ECMO) is commonly used for extracorporeal cardiopulmonary resuscitation (ECPR), but its application in LVAD-supported patients presents hemodynamic complexities. Alternative ECMO modes, including venopulmonary (VP) and hybrid venoarteriopulmonary (VAP) ECMO, may provide tailored circulatory and respiratory support in select cases. This case report describes a patient with a newly implanted LVAD who developed ES, refractory right ventricular failure, and cardiac arrest. The patient underwent staged ECMO support, transitioning from VA ECMO for ECPR to hybrid VAP ECMO and ultimately to VP ECMO, based on evolving hemodynamic needs.

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)0.000
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.003
Science and technology studies0.0040.002
Scholarly communication0.0030.004
Open science0.0020.003
Research integrity0.0080.007
Insufficient payload (model declined to judge)0.0020.001

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 head0.007
GPT teacher head0.225
Teacher spread0.219 · 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 designCase report
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
Published2025
Admission routes1
Has abstractyes

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