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Enregistrement W4403479457 · doi:10.1093/eurheartj/ehae687

Mineralocorticoid receptor antagonists for atrial fibrillation prevention: effective solution or empty promise?

2024· article· en· W4403479457 sur OpenAlexaff
Alireza Oraii, Jeff S. Healey, William F. McIntyre

Notice bibliographique

RevueEuropean Heart Journal · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueHormonal Regulation and Hypertension
Établissements canadiensMcMaster UniversityPopulation Health Research Institute
Organismes subventionnairesnon disponible
Mots-clésMedicineAtrial fibrillationMineralocorticoid receptorMineralocorticoidCardiologyInternal medicinePharmacologyReceptor

Résumé

récupéré en direct d'OpenAlex

This commentary refers to ‘Mineralocorticoid receptor antagonists and atrial fibrillation: a meta-analysis of clinical trials’, by A. Oraii et al., https://doi.org/10.1093/eurheartj/ehad811 and the discussion piece ‘Utility of mineralocorticoid receptor antagonists in reducing burden of atrial fibrillation’, by T. S. Rodrigues et al., https://doi.org/10.1093/eurheartj/ehae686. We thank Rodrigues et al. for their interest in our study,1 and raising two important discussion points regarding the utility of mineralocorticoid receptor antagonists (MRAs) for reducing the risk of atrial fibrillation (AF). First, the authors argue that patients with heart failure (HF)/left ventricular (LV) dysfunction receive a larger risk reduction than those without HF/LV dysfunction. Second, the authors mention the side effects associated with MRAs and their impact on decision-making. In this forum, we would like to elaborate on these arguments and their implications for future research. In our meta-analysis of randomized trials, the pooled estimate for the efficacy of MRAs in reducing AF events is mainly driven by the large landmark trials that used opportunistic rhythm monitoring strategies and considered AF as an adverse event or a secondary endpoint. Inclusion or exclusion of a single study assessing postoperative AF during a short follow-up period, with <10% weight in the pooled effect estimate, does not change any of the inferences.2 However, limitations of the original trial designs for ascertaining AF events are far more important for determining the certainty of the evidence. Of note, opportunistic AF ascertainment is of a greater concern in patients with HF/LV dysfunction considering that MRAs significantly reduced HF-related hospitalizations. As a result, the likelihood of detecting AF episodes may have been further diminished in the intervention arm of HF trials due to their decreased healthcare encounters compared with the control group. This can potentially overestimate the relative risk reduction with MRAs in patients with HF/LV dysfunction. Subgroup analysis of the included studies found no statistical evidence of differential efficacy in the relative treatment effect between patients with or without HF/LV dysfunction (interaction P-value = .48). Yet, the number needed to treat may be lower in patients with HF/LV dysfunction because of their higher baseline absolute risk of AF compared with those with other comorbidities (e.g. myocardial infarction or diabetes mellitus). Most importantly, the efficacy of MRAs for AF prevention is retained in patients without HF/LV dysfunction. This finding opens new opportunities to broaden the indications for MRAs, extending their use beyond HF treatment. A similar concept applies to sodium-glucose cotransporter 2 inhibitors, another pillar HF medication, that result in a similar relative reduction in AF events in patients with and without HF/LV dysfunction.3,4 However, Rodrigues et al. raise an important point that the benefits of therapy could be offset by medication side effects.5 These adverse effects can be mitigated by using more selective formulations or non-steroidal alternatives. Moreover, identifying patients at higher risk for AF who would achieve a greater absolute risk reduction can further guide treatment decisions. Although patients with established AF diagnosis are at higher risk of recurrence, it is yet unclear whether having AF on its own in the absence of HF/LV dysfunction is high risk enough to justify MRA therapy. Until future randomized trials, an individualized approach is needed in patients who do not meet the current indications and are at risk of developing AF. J.S.H. is supported by the Population Health Research Institute Stuart Connolly Chair in Cardiology Research at McMaster University; has received research grants from St. Jude Medical, Boehringer Ingelheim, Medtronic, Bristol-Myers Squibb/Pfizer, and Boston Scientific; and speaking fees from St. Jude Medical, Boston Scientific, and Medtronic, all outside of the current work. W.F.M. has received consulting fees from Trimedics and Atricture, as well as speaker fees from Servier, Bayer, and Eli Lilly, all outside of the current work. A.O. has no disclosures to report.

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)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,676
Score d'incertitude au seuil0,359

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
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 Opus0,063
Tête enseignante GPT0,358
Écart entre enseignants0,296 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

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

En bref

Citations2
Publié2024
Routes d'admission1
Résumé présentoui

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