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Enregistrement W4210958838 · doi:10.1016/j.xjon.2022.02.004

Commentary: Can in vitro valve testing reliably predict clinical outcomes?

2022· editorial· en· W4210958838 sur OpenAlexaffabout
Hugo M.N. Issa, Fraser D. Rubens

Notice bibliographique

RevueJTCVS Open · 2022
Typeeditorial
Langueen
DomaineMedicine
ThématiqueCardiac Valve Diseases and Treatments
Établissements canadiensUniversity of Ottawa
Organismes subventionnairesnon disponible
Mots-clésHemodynamicsBody orificeAortic valveShear stressCardiologyMedicineInternal medicinePhysicsMechanicsAnatomy

Résumé

récupéré en direct d'OpenAlex

Central MessageNew generations of aortic valve protheses should always aim at better clinical outcomes, whether physics, hemodynamic, or other parameters also mirror those changes.See Article page 43. New generations of aortic valve protheses should always aim at better clinical outcomes, whether physics, hemodynamic, or other parameters also mirror those changes. See Article page 43. Hatoum and colleagues1Hatoum H. Ahn S. Lilly S. Maureira P. Crestanello J. Thourani V.H. et al.Flow dynamics of surgical and transcatheter aortic valves: past to present.J Thorac Cardiovasc Surg Open. 2022; 9: 43-56Scopus (1) Google Scholar have published an elegant paper showing the hemodynamic parameters and flow characteristics downstream of various transcatheter and surgical aortic valve protheses. They included extensive fluid dynamic considerations by testing the valves in an in vitro environment, using a pulse duplicator. The authors measured the pressure gradient, effective orifice area (EOA), as well as the Reynolds shear stress (RSS) and viscous shear stress (VSS) (those last 2 are used to analyze the degree of turbulence in the downstream flow) among the protheses tested. They demonstrated that the SJM mechanical valve (Abbott Laboratories, Chicago, Ill) had the greatest EOA and that the Hancock II (Medtronic, Minneapolis, Minn) displayed the greatest range of RSS and VSS among the surgical valves. Regarding the transcatheter valves, the Evolut (Medtronic) displayed the greatest range of RSS and VSS compared with the SAPIEN 3 (Edwards Lifesciences, Irvine, Calif). The authors concluded that these features should be considered in the design of future aortic valves prothesis, and that the evolution of the aortic valve protheses have not kept up with improvements in physics.1Hatoum H. Ahn S. Lilly S. Maureira P. Crestanello J. Thourani V.H. et al.Flow dynamics of surgical and transcatheter aortic valves: past to present.J Thorac Cardiovasc Surg Open. 2022; 9: 43-56Scopus (1) Google Scholar The obvious question the reader should consider is whether better hemodynamic features translate into better clinical outcomes for patients undergoing aortic valve replacement? Better fluid dynamics do not always predict better clinical outcomes. For example, hemodynamics parameters of the Toronto SPV bioprothesis predicted excellent results; however, the valve was challenged by suboptimum durability, and reoperation was associated with a high complexity.2David T.E. Feindel C.M. Bos J. Ivanov J. Armstrong S. Aortic valve replacement with Toronto SPV bioprosthesis: optimal patient survival but suboptimal valve durability.J Thorac Cardiovasc Surg. 2008; 135: 19-24Abstract Full Text Full Text PDF PubMed Scopus (64) Google Scholar,3Dellgren G. Feindel C.M. Bos J. Ivanov J. David T.E. Aortic valve replacement with the Toronto SPV: long-term clinical and hemodynamic results.Eur J Cardiothorac Surg. 2002; 21: 698-702Crossref PubMed Scopus (41) Google Scholar Similarly, the Hancock II bioprothesis, despite of in vitro predictions of high pressure gradient, RSS, VSS, and low EOA, has demonstrated great durability.1Hatoum H. Ahn S. Lilly S. Maureira P. Crestanello J. Thourani V.H. et al.Flow dynamics of surgical and transcatheter aortic valves: past to present.J Thorac Cardiovasc Surg Open. 2022; 9: 43-56Scopus (1) Google Scholar,4David T.E. Armstrong S. Maganti M. Hancock II bioprosthesis for aortic valve replacement: the gold standard of bioprosthetic valves durability?.Ann Thorac Surg. 2010; 90: 775-781Abstract Full Text Full Text PDF PubMed Scopus (144) Google Scholar,5David T.E. Armstrong S. Sun Z. Clinical and hemodynamic assessment of the Hancock II bioprosthesis.Ann Thorac Surg. 1992; 54 (discussion 667-8): 661-667Abstract Full Text PDF PubMed Scopus (62) Google Scholar We are not implying that valve hemodynamics in such testing should be ignored; however, findings should be taken in context, and perhaps we should re-examine the implications of laboratory predictions. We have not yet reached the ideal aortic valve substitute. However, we have been improving clinical outcomes despite a possible lag on the physics features. Today, we can pick an aortic valve prothesis according to the preferences and characteristics of the patient, making each choice unique and individual. Patients at any age are able to choose the valve that best fits them, whether with a surgical or transcatheter approach, whether with a bioprothesis or a mechanical prothesis or a Ross procedure. And, for the future, the new generation of aortic valve protheses should always aim at better clinical outcomes, whether physics, hemodynamic, or other parameters mirror those changes. Flow dynamics of surgical and transcatheter aortic valves: Past to presentJTCVS OpenVol. 9PreviewTo perform an in vitro characterization of surgical aortic valves (SAVs) and transcatheter aortic valves (TAVs) to highlight the development of the flow dynamics depending on the type of valve implanted and assess the basic differences in the light of flow turbulence and its effect on blood damage likelihood and hemodynamic parameters that shed light on valve performance. Full-Text PDF Open Access

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 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)0,001
score de la tête « metaresearch » (Gemma)0,003
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,156
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,002
Intégrité de la recherche0,0000,002
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 Opus0,043
Tête enseignante GPT0,431
Écart entre enseignants0,388 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2022
Routes d'admission2
Résumé présentoui

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