MétaCan
Menu
Retour à la cohorte
Enregistrement W4412112917 · doi:10.4103/aca.aca_34_25

Assessment of Right Ventricle Function in Patients with Mitral Repair: Case Series

2025· article· en· W4412112917 sur OpenAlex

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

affAu moins un auteur déclare une institution canadienne dans l'instantané OpenAlex épinglé.

Notice bibliographique

RevueAnnals of Cardiac Anaesthesia · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueCardiac Valve Diseases and Treatments
Établissements canadiensKingston Health Sciences CentreUniversity Health NetworkToronto General HospitalSunnybrook Health Science CentreHealth Sciences CentreQueen's University
Organismes subventionnairesnon disponible
Mots-clésMedicineVentricleSeries (stratigraphy)Ventricular functionCardiologyInternal medicine

Résumé

récupéré en direct d'OpenAlex

To the Editor, We sincerely appreciate the thoughtful and constructive feedback from the authors on our study, Assessment of Right Ventricular Function in Patients Undergoing Mitral Valve Repair: A Case Series.[1] Their insights contribute valuable perspectives that will help refine future research on right ventricular function assessment in the context of mitral valve repair. The two main observations are the following: PULMONARY ARTERY SYSTOLIC PRESSURE (PASP) AND RV-PA COUPLING We acknowledge the significance of Pulmonary Artery Systolic Pressure (PASP) as a key parameter in patients with tricuspid regurgitation (TR). PASP has been widely used to estimate RV afterload and evaluate RV-PA coupling, particularly when combined with functional parameters like TAPSE/PASP or RVLS/PASP.[2] However, we would like to highlight an alternative parameter that may provide additional prognostic value in this setting. Rather than relying solely on PASP, the Mean Arterial Pressure (MAP) to Mean Pulmonary Artery Pressure (mPAP) ratio has been proposed as a superior predictor of outcomes in cardiac surgery patients, particularly in those undergoing valvular procedures.[3] The MAP/mPAP ratio provides a more comprehensive assessment of ventriculo-arterial coupling, which is an essential determinant of RV function and systemic adaptation postoperatively. While PASP remains relevant, we suggest that future research should also explore MAP/mPAP as a complementary parameter in assessing RV adaptation following MV repair. Furthermore, the provided citations analyzed the PASP and RV-PA coupling preoperative using TTE. Therefore, this displays a difference in our study since all the measurements were acquired after the patient was induced with general anesthesia. VASOACTIVE-INOTROPIC SCORE (VIS) AND HEMODYNAMIC SUPPORT We appreciate the suggestion regarding the quantification of vasoactive and inotropic support using the Vasoactive-Inotropic Score (VIS). As the authors correctly pointed out, VIS has been shown to correlate with postoperative right ventricular dysfunction in pediatric and adult cardiac surgery populations.[4] However, due to the retrospective nature of our study, vasoactive medication doses were not systematically recorded in a manner that would allow for a reliable VIS calculation. We fully agree that incorporating VIS in future prospective studies would provide a more detailed and objective analysis of the hemodynamic impact on RV function. VIS has been associated with postoperative morbidity, mortality, and length of ICU stay, and its inclusion would strengthen our understanding of the relationship between RV function and vasopressor support in MV surgery patients.[5] We appreciate this suggestion and will consider it for future research. STRENGTHS OF OUR STUDY DESPITE LIMITATIONS We acknowledge the retrospective nature of our study and its inherent limitations, including the absence of PASP and VIS data. However, we would like to emphasize several key strengths: Echocardiographic Assessment: Our study focused on Intraoperative Right Ventricular Longitudinal Strain (RVLS), which has higher diagnostic accuracy for detecting subclinical RV dysfunction compared to traditional measures like TAPSE and S’.[6] We identified distinct RV strain patterns in response to MV repair, which could guide perioperative RV assessment in clinical practice. Clinical Dynamic Relevance of RV Dysfunction in MV Surgery: Our findings reinforce that RV dysfunction is a common but variable outcome following MV repair. The study underscores the importance of assessing RV function dynamically, as changes in RVLS, TAPSE, and FAC may not always correlate with immediate clinical outcomes, but could indicate long-term RV remodeling.[7] Standardized Surgical and Echocardiographic Protocol: All surgeries were performed by the same lead surgeon, ensuring procedural consistency. Advanced echocardiographic software (EchoInsight) was used to obtain high-precision RV functional measures, enhancing data reliability. CONCLUSION We sincerely appreciate the valuable feedback provided by the Letter to the Editor. Their insightful suggestions regarding PASP and VIS highlight important considerations for future prospective research on RV function in cardiac surgical patients. We particularly agree that incorporating VIS and a more detailed RV-PA coupling assessment could further enhance the predictive value of echocardiographic parameters in this setting, especially when gathered after the general anesthetic (intraoperatively). While our study was retrospective and had inherent limitations, we believe it provides a meaningful contribution by demonstrating the clinical utility of RVLS in perioperative RV assessment. We hope this study will serve as a foundation for further prospective investigations that integrate VIS, PASP, and MAP/mPAP to refine risk stratification and improve RV function monitoring in patients undergoing MV repair. Thank you once again for this constructive discussion, which we believe will strengthen future research in perioperative RV assessment. Financial support and sponsorship Nil. Conflicts of interest There are no conflicts of interest.

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.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,006
Score d'incertitude au seuil0,413

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,010
Tête enseignante GPT0,319
Écart entre enseignants0,309 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle