The Need for Evaluating Right Ventricular Adaptation and Ventriculo–Arterial Coupling
Notice bibliographique
Résumé
We read with great interest the paper of Ghio et al. on the prognostic value of assessing right ventricular (RV) function in patients with heart failure with reduced (HFrEF), mid-range (HFmrEF), or preserved ejection fraction (HFpEF).1 This study showed that the tricuspid annular plane systolic excursion to pulmonary artery systolic pressure (TAPSE/PASP) ratio is an independent predictor of survival regardless of left ventricular ejection fraction (LVEF). In addition, pulmonary hypertension was associated with an increased risk of RV dysfunction in patients with HFpEF and HFmrEF but not with HFrEF. Since RV dysfunction is strongly related to increased afterload, it has been suggested that RV function in the different heart failure subtypes may be better quantified based on the assessment of ventriculo–arterial coupling. The TAPSE/PASP ratio as a marker of RV–vascular coupling also proved to be associated with prognosis.2 However, reference values for the TAPSE/PASP ratio have not been universally defined. In the article of Ghio and colleagues,1 the prevalence of RV dysfunction was 12.6% compared with 40% in another study.3 In HFpEF patients, the prevalence of pulmonary hypertension did vary according to the method used for non-invasive measurement of haemodynamic parameters: authors found increased pulmonary pressure value in 31% by TAPSE measurement, in 26% using tissue Doppler, and merely in 13% by RV fractional area change calculation.4 Uncertainty exists regarding the prognostic relevance of ventriculo–arterial coupling in heart failure subtypes. Ghio and colleagues showed that in HFpEF and HFmrEF a TAPSE value of ≤14 mm was associated with RV dysfunction in patients with PASP >40 mmHg. A strong correlation was also found between reduced TAPSE and elevated PASP. Notably, PASP <40 mmHg is usually associated with normal RV function,1 which may account for the lack of statistical significance at multivariable analysis. In contrast, Bosch et al. found that TAPSE and PASP were similarly decreased, and RV–arterial coupling was prognostically important in heart failure regardless of LVEF.3 Possible reasons for these discrepancies include differences in the study populations, as well as in the prevalence of pre- and post-capillary pulmonary hypertension.4 Finally, although the TAPSE/PASP ratio can be easily obtained, it does not provide an accurate appraisal of vascular compliance, resistance and pressure. Furthermore, in cases of severe RV dilatation and dysfunction or severe tricuspid regurgitation, the transvalvular gradient may be underestimated. These limitations can be overcome by estimating pulmonary arterial stiffness and pulmonary vascular function as derived from pulmonary artery pulse wave velocity and flow area changes. An accurate method that provides additional information about RV volume, geometry and pulmonary branches is cardiac magnetic resonance.5 In conclusion, in both HFrEF and HFpEF, RV function and afterload are important parameters for risk stratification. A valid and reliable method for evaluating the different relation between RV adaptation and pulmonary afterload could be of potential benefit in these patients.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,012 | 0,051 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,003 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,002 |
| Communication savante | 0,003 | 0,011 |
| Science ouverte | 0,003 | 0,002 |
| Intégrité de la recherche | 0,009 | 0,012 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,002 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».