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Right ventricular global longitudinal strain by cardiac magnetic resonance feature tracking is associated with outcome in patients with a systemic right ventricle

2024· article· en· W4403808257 on OpenAlexaff
Kerstin Wustmann, Emanuela Valsangiacomo Buechel, J Ruperti-Repilado, Matthias Greutmann, Markus Schwerzmann, Judith Bouchardy, Tobias Rutz, Daniel Tobler, Harald Gabriel, Dominik Stambach, Juerg Schwitter, Barbara Burkhardt

Bibliographic record

VenueEuropean Heart Journal · 2024
Typearticle
Languageen
FieldMedicine
TopicPulmonary Hypertension Research and Treatments
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineVentricleFeature trackingCardiologyCardiac magnetic resonanceInternal medicineMagnetic resonance imagingOutcome (game theory)Cardiac magnetic resonance imagingRadiologyArtificial intelligence

Abstract

fetched live from OpenAlex

Abstract Introduction It is well known, that patients with a systemic (sub-aortic) right ventricle (sRV) for congenitally-corrected transposition of the great arteries (TGA) or with complete TGA after atrial switch operation are more threatened to develop RV dysfunction, relevant supra- and ventricular tachycardia and have a reduced life expectancy. While the randomized, placebo-controlled, double-blinded, multi-centre SERVE trial to investigate the effect of phosphodiesterase-5 inhibitor tadalafil in sRV patients showed negative results on the primary end-point RV endsystolic volume (RVESV), aim of this sub-analysis was to evaluate RV global longitudinal strain (GLS), a more sensitive measure of RV function, by cardiac magnetic resonance (CMR) feature tracking (FT) over time, for treatment effect and to investigate whether RV GLS predicts clinical outcome in sRV patients. Methods CMR volumetric RV and FT parameters were analysed (blinded for patient and assessment time and treatment) at baseline and compared to follow-up (FU) after 3 years, or after 1 year in case of withdrawal of the study drug. FT was performed using appropriate software. Treatment effect was analysed using ANCOVA with baseline values and FU-time as covariates. Values of > 4th quartile of RV GLS were used as cut-off for Kaplan-Meier analysis on the primary outcome, defined as a composite of all-cause death, clinically relevant arrhythmias and hospitalisation for heart failure. Results CMR exams were available for 78 patients at baseline (40±11 years, 33% females) and for 71 patients at FU. No treatment effect of tadalafil compared to the placebo was discovered for RV GLS (p=0.26), RVESVi (p=0.63) and RV ejection fraction (RVEF, p=0.6). Over a 3 years FU-time, RV GLS mildly increased (p=0.0023, figure 1). During FU, 14 patients experienced a clinical outcome: 1 death, 4 hospitalisations for heart failure, and 12 clinically relevant arrhythmic events. An RV GLS > -13.4% was associated with adverse clinical outcome (p=0.003, figure 2). Conclusion In patients with a systemic RV, treatment with Tadalafil had no effect on CMR-derived RV global longitudinal strain compared to placebo. RV GLS changed significantly over the 3 years FU-time. A RV GLS value of > -13.4% is associated with adverse clinical outcome in these patients.Figure 1Figure 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)0.001
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.271
Teacher spread0.254 · 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".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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