Prognostic Utility of Right Atrial Emptying Fractions in Pulmonary Arterial Hypertension
Bibliographic record
Abstract
Although left atrial function has been extensively studied in patients with heart failure, the determinants and clinical correlates of impaired right atrial (RA) function have been poorly studied. We investigated measures of RA function in pulmonary arterial hypertension (PAH). We identified all treatment-naive patients with World Health Organization category 1 PAH seen at our center during 2000-2011 who had right heart catheterization and 6-minute walk test (6MWT) within 1 month of initial echocardiographic examination. Atrial size was measured using the monoplane area-length method, and atrial function was quantified using total, passive, and active RA emptying fractions (RAEFs). We compared measures of RAEF with known prognostic clinical, echocardiographic, and hemodynamic parameters. For the subset of patients with follow-up echocardiographic examination/6MWT within 6-18 months, we investigated the change in RAEF. In an exploratory analysis, we investigated the association between RAEF and mortality. Our population consisted of 39 patients with treatment-naive (incident) PAH, 30 of whom had follow-up testing. The mean total, passive, and active RAEFs were 24.4% ± 15.1%, 8.5% ± 6.9%, and 17.6% ± 13.9%, respectively. Total and active RAEFs correlated with tricuspid annular plane systolic excursion (P = 0.004 and P = 0.005) and cardiac output (P = 0.02 and P = 0.01). The change in active RAEF correlated with change in 6-minute walk distance (P = 0.02). In our Cox regression analysis, low active and total RAEF were associated with mortality, with hazard ratios of 5.6 (95% confidence interval [CI], 1.2-26.2; P = 0.03) and 4.2 (95% CI, 1.1-15.5; P = 0.03), respectively. Passive RAEF was poorly reproducible and not associated with outcome. Measures of RAEF appear to have prognostic importance in PAH and warrant further study.
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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 | 0.000 |
| 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".