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Abstract 4343019: Cardiac magnetic resonance imaging findings and their association with exercise performance – data from the Single Ventricle Reconstruction Trial longitudinal follow-up

2025· article· en· W4415790544 on OpenAlexaff
Jon Detterich, Adam L. Dorfman, Timothy C. Slesnick, Amee Shah, Arni Nutting, Mike Seed, Michael J. Campbell, Ben Goot, Ashwin Prakash, Carol Prospero, Mark Cartoski, Edem Binka, Danish Vaiyani, Sean M. Lang, Felicia Trachtenberg, Jane W. Newburger, Caren S. Goldberg, Michael D. Taylor

Bibliographic record

VenueCirculation · 2025
Typearticle
Languageen
FieldMedicine
TopicCongenital Heart Disease Studies
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsVentricleUnivariate analysisShunt (medical)Cardiac magnetic resonanceCardiac magnetic resonance imagingMagnetic resonance imagingAscending aortaDemographics

Abstract

fetched live from OpenAlex

INTRODUCTION: In the Single Ventricle Reconstruction Trial, long-term follow up (SVRIII), morbidity and mortality compounded with age regardless of shunt type at Norwood procedure. AIMS: We aimed to describe SVRIII MRI findings by shunt type and determine associations between cardiac MRI and exercise performance. METHODS: Cardiac magnetic resonance imaging (CMR) and cardiopulmonary exercise testing (CPET) were performed at ages 10-14 years. Demographics and CMR parameters were compared by shunt type. An estimate of aortopulmonary collaterals (APC) and fenestration (Fen) flow was calculated by subtracting total vena cava flow from aorta flow. All SVR III, CMR, and demographics data were used to determine univariate and multivariable predictors of right ventricular function (RVEF %). CMR parameters were used to determine predictors of ventilatory efficiency (VE/VCO 2 ) and peak VO 2 (ml/min/kg). RESULTS: Among 237 participants enrolled in SVR III, 168 participants had complete CMR exams (79 mBTTS, 89 RVPAS, 33% female). RV volumes (BTTS 91.9 ml/m2 vs RVPAS 93.4 ml/m2, cardiac output (BTTS 42ml/beat vs RVPAS 46ml/beat), and APC+Fen flow were similar between shunt types, while the RVPAS group tended to have higher SVC flow (BTTS 16.1ml/beat vs RVPAS 18.3 ml/beat P=0.04). The mBTTS group had a slightly larger isthmus (13.8mm vs 12.8mm), but similar ascending aorta (AAO mm), and branch PA sizes. Table 1 shows CMR univariate predictors of RVEF, VE/VCO 2 and peak VO 2 . Both RVESVi (ml/m 2 ) and RVEDVi (ml/m 2 ) were negatively associated with RVEF. Despite a negative association between higher RPA:LPA flow balance and RVEF, there was also a weakly negative association between LPA size and RVEF. Higher total vena cava flow (ml/beat) and pulmonary blood flow were associated with improved VE/VCO 2 . Right ventricular volumes and mass were negatively associated with Peak VO 2 , while AAO and RVEF were positively associated with peak VO 2 . By multivariable analysis RV mass and AAO size explain approximately 11% of the variability in peak VO 2 ( Table 2 ). CONCLUSION: Chronic volume loading of the single right ventricle in the setting of low systemic blood flow and pulmonary flow imbalance are associated with RV dysfunction. CMR measures of RV size and systemic blood flow have a modest association with ventilatory efficiency and peak exercise performance. Higher Qs is associated with improved ventilatory efficiency, while larger AAO and lower RV mass are associated with improved peak VO 2 .

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)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.024
GPT teacher head0.252
Teacher spread0.228 · 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 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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