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Record W4411476313 · doi:10.1016/j.jhlto.2025.100318

Beyond the consult: Outcomes following pediatric VAD referral

2025· article· en· W4411476313 on OpenAlexaff
Shannon Oliver, Tara Pidborochynski, Holger Buchholz, Simon Urschel, Paula Holinski, Vijay Anand, D. Ly, Jennifer Conway

Bibliographic record

VenueJHLT Open · 2025
Typearticle
Languageen
FieldEngineering
TopicMechanical Circulatory Support Devices
Canadian institutionsAlberta Health ServicesUniversity of Alberta
Fundersnot available
KeywordsReferralMedicineMedical emergencyFamily medicine

Abstract

fetched live from OpenAlex

Background Little is known about patients who are referred for VAD therapy but not implanted. The purpose of this study is to describe their outcomes at 1-year post initial consultation. Methods Retrospective analysis for patients referred to our VAD services between 01/2019 and 12/2023. Outcomes were reported at 30-days and 1-year post consult. Patients who died, were too unwell for VAD or required ECMO within 30-days of consultation were considered acute referrals. Multivariate logistic regression analysis was used to determine risk factors for being an acute referral. Results There were 128 patients included, with median age at referral 2.7years (IQR 0.3, 0.9), 50.8% being male and 52.3% of patients having congenital heart disease (CHD). The primary indication for VAD consult was due to patient undergoing a transplant evaluation. At 30-days 31% (n=41) were considered acute referrals, with 28.1% (n=36) receiving ECMO, 3.1% (n=4) being too unwell for VAD and 0.8% (n=1) patients dying. Patients who were acute referrals and had not received VAD therapy or transplant had worse 1-year survival (p<0.001) then elective referrals, with the highest risk for mortality being early in the course. Diagnosis of biventricular CHD, other (non-CHD, non-cardiomyopathy) or absence of comorbidities were independent factors associated with being an acute referral. Conclusion Of patients referred to the VAD service, one-third were considered acute referrals. Patients who were acute referrals had increased 1-year mortality than those who were elective referrals. Factors associated with being acute referral included diagnosis of biventricular CHD or other, and no comorbidities.

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 score0.218
Threshold uncertainty score0.406

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 science0.0010.000
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 head0.025
GPT teacher head0.294
Teacher spread0.269 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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