Right Atrial Size Relates to Right Ventricular End-Diastolic Pressure in an Adult Population with Congenital Heart Disease
Bibliographic record
Abstract
AIM: Noninvasive markers of right ventricular (RV) diastolic dysfunction are limited by their lack of reproducibility and accuracy. We tested the hypothesis that right atrial (RA) size measured by echocardiography was correlated to invasive parameters of RV diastolic filling. METHODS AND RESULTS: We studied 31 consecutive adult patients with congenital heart disease. From 2D echocardiography images, we measured maximal RA long-axis and short-axis lengths, area and volume. We compared each of these measures to right ventricular end-diastolic pressure (RVEDP) and mean right atrial pressure (mRAP) measured by right heart catheterization. RA long-axis, short-axis, area, and volume correlated significantly with RVEDP (r = 0.78, P < 0.001; r = 0.61, P < 0.001; r = 0.79, P < 0.001; and r = 0.75, P < 0.001, respectively) and mRAP (r = 0.66, P < 0.001; r = 0.56, P = 0.002; r = 0.70, P < 0.001; r = 0.68, P < 0.001, respectively). Single cut points for each echocardiographic parameter demonstrated reasonable accuracy to rule-in and rule-out RVEDP ≥ 7 mm Hg (sensitivity = 74%, specificity = 82%, positive LR = 4.1, negative LR = 0.32 for RA long-axis of 49 mm; sensitivity = 89%, specificity = 82%, positive LR = 4.9, negative LR = 0.12 for RA area of 14 cm²; sensitivity = 89%, specificity = 82%, positive LR = 4.9, negative LR = 0.13 for RA volume of 37 mL). CONCLUSION: RA size measured by echocardiography is strongly correlated to invasive parameters of RV diastolic filling and predicts high RV end-diastolic pressure.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".