Long-term survival after coronary artery bypass grafting comparing bilateral versus single internal mammary artery in a women cohort
Notice bibliographique
Résumé
Abstract Introduction Although neutral results from the ART randomized controlled trial, observational studies have been supporting better survival after bilateral internal mammary artery (BIMA) vs single internal mammary artery (SIMA) coronary artery bypass grafting (CABG). However, for some specific subgroups, like women patients, more doubts remain about BIMA benefits. Aim To compare long-term survival and early results in women after SIMA vs BIMA. Methods Longitudinal, retrospective, single-center study including consecutive women with at least 2 left-coronary system (LCS) vessel disease who underwent primary isolated CABG with at least 1 internal mammary artery (IMA) conduit and a minimum of 2 conduits targeting the LCS, between 2004-2014. Emergent or salvage surgeries, on-pump beating-heart, BIMA in which 1 IMA targeted the right coronary artery territory were excluded. The primary outcome was all-causes mortality (checked on February 2023). Time-to-event outcomes were studied using Kaplan-Meier Curves, Log-Rank test and multivariable Cox Regression. Median follow-up was 11 years, maximum of 19 years. Results From 539 women selected for this study, BIMA CABG was performed in 30%. SIMA patient’s were older (mean age 68.95±8.39 vs 62.75±9.82 years, p<0.001), but the prevalence of cardiovascular risk factors were similar between groups (arterial hypertension, p=0.693; dyslipidemia, p=0.111; diabetes mellitus, p=0.462 and obesity, p=0.109). Peripheral artery disease (p=0.707), left ventricular dysfunction (p=0.727), cerebrovascular disease (p=0.730), active smoking habits (p=0.05) and chronic obstrutive pulmonary disease (p=0.537) were also similar. Severe chronic kidney disease (27% vs 14%, p<0.001) and Canadian Coronary Society - grade IV (74% vs 63%, p=0.011) were more frequent in SIMA group. In the univariable survival analysis, SIMA had worse survival results than BIMA (Log Rank test p<0.01). At 5-, 10- and 15- years of follow-up, cumulative survival for SIMA vs BIMA were 88% vs 90%, 68% vs 75%, 42% vs 58%, respectively. However, the multivariable Cox regression showed that BIMA was not associated with long-term survival (HR [95%CI]: 1.09 [0.75-1.59], p=0.6). Most of post-operative outcomes were similar between groups, with the exception of atrial fibrilation (25% vs 16%, p=0.031) and time to discharge (median days [min-max]: 7 [4-128] vs 7 [4-59]) that were higher in SIMA. No differences were found in immediate reexploration of thorax (sternal infection – 0.3% SIMA vs 1.2% BIMA, p=0.219; bleeding- 1.6% SIMA vs 0.6% BIMA, p=0.681). Redo CABG occurred in 1 SIMA and 1 BIMA women, at 41 and 84 months of follow-up, respectively. Conclusion In this study, revascularization with BIMA seems to be safe in women and provides similar results than SIMA. More studies in women are needed to establish the better approach for this specific subgroup.
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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 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 | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 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 ».