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Record W4404458992 · doi:10.1016/j.jhlto.2024.100181

Myocardial functional recovery following durable ventricular assist device in children

2024· article· en· W4404458992 on OpenAlexaff
Bhavikkumar Langanecha, Osami Honjo, Alyssa Power, Oshri Zaulan, Christoph Haller, Kristen George, Linda Fazari, Andrea Maurich, David A. Chiasson, Aamir Jeewa

Bibliographic record

VenueJHLT Open · 2024
Typearticle
Languageen
FieldEngineering
TopicMechanical Circulatory Support Devices
Canadian institutionsUniversity of TorontoHospital for Sick Children
Fundersnot available
KeywordsCardiologyInternal medicineMedicine

Abstract

fetched live from OpenAlex

Background: Ventricular assist device (VAD) explantation following myocardial functional recovery (MFR) for heart failure (HF) is uncommon in children and is associated with a risk of HF recurrence. Material and Methods: Retrospective, single-center study of pediatric patients who were supported with durable VADs, both intracorporeal continuous flow devices (CFD) and paracorporeal pulsatile flow devices (PFD), between 2004 and 2022. Results: A total of 74 children, of which 43 were female, underwent VAD implantation (PFD = 61 and CFD = 14) at a median (interquartile range) age of 5.6 (0.8, 13.5) years and with a weight of 16.2 (7.5, 40.7) kg. From this cohort, we identified 9 of 75 (12%) children who underwent VAD explantation for MFR. Of those, 7 of 9 (77%) were under 2 years of age and 6 of 9 (67%) were supported for >90 days. Five patients had dilated cardiomyopathy, 3 with anomalous left coronary artery from pulmonary artery and 1 with tachycardia-induced cardiomyopathy. Six were listed for transplantation as a part of their HF management strategy following VAD implantation. After explant, 8 of 9 patients remained in HF remission with no symptoms and stable left ventricular function. One patient had a recurrence of HF following explantation after demonstrating MFR while on VAD support. Conclusions: MFR resulting in VAD explantation is feasible in children with chronic HF especially for those <2 years of age. Further work is needed to better identify the features that promote MFR and maintain it after explant.

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 score0.064
Threshold uncertainty score0.837

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.016
GPT teacher head0.237
Teacher spread0.222 · 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".

Quick stats

Citations3
Published2024
Admission routes1
Has abstractyes

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