Left and right atrioventricular coupling: state-of-the-art review
Bibliographic record
Abstract
The co-ordinated interaction between atria and ventricles, termed atrioventricular (AV) coupling, is essential for maintaining efficient cardiac performance. The left/right atrium (LA/RA) modulates left/right ventricular (LV/RV) filling through its reservoir, conduit, and booster pump functions, while the LV/RV in turn determines atrial pressures and compliance. Disruption of this finely balanced interplay leads to impaired filling dynamics, abnormal pressure-volume relationships, and progressive remodelling. Mechanisms of uncoupling include mechanical dysfunction from atrial dilatation and fibrosis, ventricular diastolic stiffness, and loss of atrial contractile reserve, as well as electromechanical desynchrony due to conduction abnormalities such as AV block or prolonged PR interval. The concept of quantifying AV coupling has been formalized through the left/right AV coupling index (LACI/RACI), defined as the ratio of LA/RA end-diastolic volume to LV/RV end-diastolic volume. LACI/RACI can be non-invasively derived across imaging modalities-including echocardiography, computed tomography, and cardiovascular magnetic resonance-without requiring specific acquisition protocols. First described in large population cohorts, LACI has demonstrated independent and incremental prognostic value for heart failure, atrial fibrillation and mortality, outperforming isolated atrial or ventricular parameters. Moreover, its ability to capture dynamic remodelling makes it a promising biomarker for risk stratification across a broad spectrum of cardiovascular diseases. This review synthesizes current knowledge on left and right AV coupling, outlines the physiological and pathophysiological mechanisms of uncoupling, and highlights the role of LACI/RACI as both a diagnostic and prognostic tool. Standardization of assessment strategies and reference values will be essential to facilitate clinical translation and precision cardiology.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".