Impact of left ventricular fibrosis and longitudinal systolic strain on outcomes in low gradient aortic stenosis
Bibliographic record
Abstract
Abstract Background The clinical utility of comprehensive cardiac magnetic resonance (CMR) for the assessment of myocardial structure and function remains unknown in patients with low gradient (LG) aortic stenosis (AS). Purpose This study sought to compare CMR characteristics of myocardial structure and function according to different flow / gradient patterns of AS: classical low flow LG (LFLG); paradoxical LFLG; normal flow LG; and high gradient, and to evaluate their impact on the outcomes of these patients. Methods International multicentric prospective study included 147 patients with LG moderate to severe AS and 18 patients with high gradient severe AS who underwent comprehensive CMR evaluation of left ventricular global longitudinal strain (LVGLS), extracellular volume fraction (ECV), and late gadolinium enhancement (LGE). Results Patients with classical LFLG (n=90) had more LV adverse remodeling and impaired longitudinal function including higher ECV, and higher LGE and volume, and worst LVGLS, compared to other patterns of AS. Over a median follow-up of 2-years, 43 deaths and 48 composite outcomes of death or heart failure hospitalization occurred in LG AS patients. As LVGLS or ECV worsened, risks of adverse events also increased (per tertile of LVGLS: HR [95% CI] for mortality, 1.50 [1.02–2.20]; p=0.04; HR [95% CI] for composite outcome, 1.45 [1.01–2.09]; p<0.05) (per tertile of ECV: HR [95% CI] for mortality, 1.63 [1.07–2.49]; p=0.02; HR [95% CI] for composite outcome, 1.54 [1.02–2.33]; p=0.04). LGE presence was also associated with higher mortality (HR [95% CI], 2.27 [1.01–5.11]; p<0.05) and risk of the composite outcome (HR [95% CI], 3.00 [1.16–7.73]; p=0.02). The risk of all-cause death and of the composite outcome increased in proportion to the number of impaired components (i.e. LVGLS, ECV and LGE) (Figure) with and without adjustment for age, true severe AS, classical LFLG, and aortic valve replacement as a time-varying covariate. Conclusions In this international multicentric study of LG AS, comprehensive CMR assessment of myocardial structure and function provides independent prognostic value that is cumulative and incremental to clinical and echocardiographic characteristics. Funding Acknowledgement Type of funding sources: None.
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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 | 0.001 |
| 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".