Refining the accuracy of right ventricular-pulmonary arterial coupling in patients undergoing transcatheter tricuspid valve treatment
Bibliographic record
Abstract
Abstract Background Assessing right-ventricular (RV) function is paramount for risk stratification but remains challenging in patients with TR. RV-pulmonary artery (PA) coupling seems more feasible for the assessment of RV function. Methods We assessed RV-PA coupling by the ratio of TAPSE and PASP at baseline, in which PASP was measured both by echocardiography (ePASP) and invasively using a right-heart catheter (iPASP). We also assessed the RV fractional-area change (RVFAC) as measured by transthoracic echocardiography. Participants for the present study comprised patients undergoing TTVR from June 2015 to July 2021 at the University Hospital of Bonn. Patients lacking either echocardiographic or invasive measurements for the assessment of RV-PA coupling were excluded from the analysis. The outcome was defined as a composite of mortality and rehospitalization due to heart failure within one year after the procedure. Results A total of 206 patients were included in the present analysis. The participants were at an advanced age (78.5±7.1 years), predominantly female (58.3%), and at a high risk for surgery (EuroSCORE II: 7.4±4.8%). Massive/torrential TR was observed in 100 of these patients. With the median follow-up duration of 201 days (interquartile range 98–424 days), the outcome occurred in 57 patients. Compared to TAPSE/ePASP, TAPSE/iPASP showed better predictability for the outcome: the AUCs were 0.582 for TAPSE/ePASP and increased to 0.714 when iPASP was applied to the formula (i.e. TAPSE/iPASP). The trend was also true for RV-PA coupling using RVFAC (AUCs: 0.561 for RVFAC/ePASP, 0.693 for RVFAC/iPASP). There was a significant correlation between ePASP and iPASP, whereas the correlation was attenuated in patients with TR beyond severe (i.e. massive/torrential TR) (interaction p = 0.01). In addition, a semiquantitative echocardiographic estimation of right atrial (RA) pressure was not correlated with the invasive measurement. Conclusion The present analysis confirms that RV-PA coupling, measured as TAPSE/PASP, is a powerful predictor of mortality and rehospitalization due to heart failure in patients undergoing TTVR. The predictability is even more improved if PA pressure is measured invasively and applied to the formulas. 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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".