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Record W4414205641 · doi:10.1155/crit/7507711

Novel Applications of a Percutaneous Dual‐Lumen Cannula Beyond a Right Ventricular Assist Device

2025· article· en· W4414205641 on OpenAlexaff
Patrick Butler, Taylor M. Wilson, Jennifer Cloutier, Jean‐François Légaré, Christopher W. White

Bibliographic record

VenueCase Reports in Transplantation · 2025
Typearticle
Languageen
FieldEngineering
TopicMechanical Circulatory Support Devices
Canadian institutionsDalhousie UniversitySaint John Regional Hospital
Fundersnot available
KeywordsCannulaExtracorporeal membrane oxygenationCirculatory systemVentricular assist devicePercutaneousVentricleCardiopulmonary bypassExtracorporeal

Abstract

fetched live from OpenAlex

The ProtekDuo's dual-lumen design combined with its ability to be inserted percutaneously allows for its use in a wide variety of clinical scenarios. Therefore, it was chosen to be used as the venous cannula on cardiopulmonary bypass to treat a patient who had a high risk of right ventricular failure and a need for mechanical circulatory support postoperatively. Biventricular failure occurred during the patient's course in hospital, and the ProtekDuo was used in a novel hybrid configuration using both the distal port on the ProtekDuo and the aortic cannula as outflow cannula for the extracorporeal membrane oxygenation circuit, and the proximal port on the ProtekDuo was used as the venous return. Gradually increasing ProtekDuo distal outflow and decreasing aortic cannula outflow facilitated an isolated and progressive loading of the left ventricle while maintaining support for the right ventricle. In total, four separate mechanical circulatory support configurations were used to support and optimize the patient's hemodynamics. The ability to utilize a single cannula in a hybrid manner may be useful in patients requiring controlled weaning of mechanical circulatory support.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.107
Threshold uncertainty score0.622

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.007
GPT teacher head0.233
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.

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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