Left ventricular fibrosis as a main determinant of filling pressures and left atrial function in advanced heart failure
Bibliographic record
Abstract
AIMS: Advanced heart failure (AdHF) is characterized by variable degrees of left ventricular (LV) dysfunction, myocardial fibrosis, and raised filling pressures which lead to left atrial (LA) dilatation and cavity dysfunction. This study investigated the relationship between LA peak atrial longitudinal strain (PALS), assessed by speckle-tracking echocardiography (STE), and invasive measures of LV filling pressures and fibrosis in a group of AdHF patients undergoing heart transplantation (HTX). METHODS AND RESULTS: We consecutively enrolled patients with AdHF who underwent HTX at our Department. Demographic and basic echocardiographic data were registered, then invasive intracardiac pressures were obtained from right heart catheterization, and STE was also performed. After HTX, biopsy specimens from explanted hearts were collected to quantify the degree of LV myocardial fibrosis. Sixty-four patients were included in the study (mean age 62.5 ± 11 years, 42% female). The mean LV ejection fraction (LVEF) was 26.7 ± 6.1%, global PALS was 9.65 ± 4.5%, and mean pulmonary capillary wedge pressure (PCWP) was 18.8 ± 4.8 mmHg. Seventy-three % of patients proved to have severe LV fibrosis. Global PALS was inversely correlated with PCWP (R = -0.83; P < 0.0001) and with LV fibrosis severity (R = -0.78; P < 0.0001) but did not correlate with LVEF (R = 0.15; P = 0.2). Among echocardiographic indices of LV filling pressures, global PALS proved the strongest [area under the curve 0.955 (95% confidence interval 0.87-0.99)] predictor of raised (>18 mmHg) PCWP. CONCLUSION: In patients with AdHF, reduced global PALS strongly correlated with the invasively assessed LV filling pressure and degree of LV fibrosis. Such relationship could be used as non-invasive indicator for optimum patient stratification for therapeutic strategies.
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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 | 0.001 |
| 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".