Commentary: Missing the mark but we must keep trying
Notice bibliographique
Résumé
Central MessageThe rate of revascularization after aortic valve intervention is unclear. Further insight will assist with heart team planning, especially in the era of emerging transcatheter therapies.See Article page 91. The rate of revascularization after aortic valve intervention is unclear. Further insight will assist with heart team planning, especially in the era of emerging transcatheter therapies. See Article page 91. Decision-making regarding aortic valve prosthesis and method of implantation at the time of aortic valve replacement (AVR) has become increasingly complex and requires the consideration of many factors. One area that remains unclear is the long-term rate of coronary revascularization after AVR and how this may influence the selection of interventions. In this issue of JTCVS Open, Çelik and colleagues1Çelik M. Durko A.P. Head S.J. Mahtab E.A.F. van Mieghem N.M. Cummins P.A. et al.Coronary revascularization after surgical aortic valve replacement.J Thorac Cardiovasc Surg Open. 2020; 3: 91-101Scopus (2) Google Scholar help illuminate the rate of coronary revascularization after surgical AVR in patients without significant coronary stenosis at time of intervention. In their retrospective cohort study of 420 patients, they found a cumulative revascularization rate of 6.9% at 20 years, with percutaneous coronary intervention being the most common intervention (64%). The authors suggest that these results may help provide an approximation of the long-term revascularization rate after transcatheter aortic valve implantation. The authors should be commended for offering insight on an area of limited knowledge. The cumulative revascularization rate over a period of 20 years appears to be quite low. Furthermore, a majority of these patients only required revascularization for single-vessel disease and in nonurgent fashion, suggesting that the burden of coronary disease in these patients remains low over 2 decades. These results, however, should be interpreted with caution. The first concern is the high rate of loss to follow-up. Of the 2256 potentially eligible patients, only 420 were included, which probably underestimates the burden of coronary artery disease faced by this patient population.2Vilalta V. Asmarats L. Ferreira-Neto A.N. Maes F. de Freitas Campos Guimarães L. Couture T. et al.Incidence, clinical characteristics, and impact of acute coronary syndrome following transcatheter aortic valve replacement.JACC Cardiovasc Interv. 2018; 11: 2523-2533Crossref PubMed Scopus (59) Google Scholar This is important, as there was a significant discrepancy between the 2 groups. Nonfollowed patients were older, with more frequent degenerative tricuspid aortic valve disease (as opposed to the greater rate of bicuspid aortic valve disease in the followed group), factors that are likely related to the outcome of revascularization. Therefore, the patient population in the study of Çelik and colleagues likely does not accurately reflect even the low-risk transcatheter aortic valve implantation population.3Mack M.J. Leon M.B. Thourani V.H. Makkar R. Kodali S.K. Russo M. et al.Transcatheter aortic-valve replacement with a balloon-expandable valve in low-risk patients.N Engl J Med. 2019; 380: 1695-1705Crossref PubMed Scopus (2388) Google Scholar From a statistical standpoint, we are also sympathetic that due to the small sample size, the primary outcome (time-to-first revascularization event) was infrequent (24 events) and thus the analysis may not be as credible. Likely, only 2 covariate predictors could be reliably identified without overfitting. Lastly, we would caution that there are also limitations to identifying the impact of covariates with the technique of competing risks that the authors chose. This strategy works well in predicting outcomes, but it does not accurately identify the role of predictors. Nonetheless, their data do provide some reassurance that in the younger patient population requiring aortic intervention, the likelihood of requiring surgery for bypass grafting in the future is probably on the lower side. In fact, the chance of requiring reintervention for the aortic valve over a period of 2 decades is likely greater, especially for bioprosthetic valves.4Ruel M. Kulik A. Rubens F.D. Bédard P. Masters R.G. Pipe A.L. et al.Late incidence and determinants of reoperation in patients with prosthetic heart valves.Eur J Cardiothorac Surg. 2004; 25: 364-370Crossref PubMed Scopus (121) Google Scholar,5Head S.J. Çelik M. Kappetein A.P. Mechanical versus bioprosthetic aortic valve replacement.Eur Heart J. 2017; 38: 2183-2191Crossref PubMed Scopus (165) Google Scholar Although they miss the bull's eye, Çelik and colleagues do point us in the right direction and give the heart team data to consider as we embark toward the new age of aortic valve intervention. Coronary revascularization after surgical aortic valve replacementJTCVS OpenVol. 3PreviewIt remains unclear how often coronary revascularization is necessary after aortic valve interventions, either by surgical aortic valve replacement (SAVR) or transcatheter aortic valve replacement. However, these data are relevant for treatment and prosthesis choice. The authors sought to analyze the incidence and characteristics of coronary revascularization after SAVR during follow-up. 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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
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 tête enseignante, 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 ».