Right ventricular global longitudinal strain by cardiac magnetic resonance feature tracking is associated with outcome in patients with a systemic right ventricle
Bibliographic record
Abstract
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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".