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Enregistrement W3165515891 · doi:10.1093/cvr/cvab170

Challenges and opportunities in improving the management of atrial fibrillation: recent research advances and their clinical translation

2021· editorial· en· W3165515891 sur OpenAlexafffund
Stanley Nattel, Gregory Y.H. Lip, David Filgueiras‐Rama, Dobromir Dobrev

Notice bibliographique

RevueCardiovascular Research · 2021
Typeeditorial
Langueen
DomaineMedicine
ThématiqueAtrial Fibrillation Management and Outcomes
Établissements canadiensUniversité de MontréalMcGill UniversityMontreal Heart Institute
Organismes subventionnairesNational Institutes of HealthDeutsche ForschungsgemeinschaftEuropean CommissionInstituto de Salud Carlos IIICanadian Institutes of Health ResearchNational Institute for Health and Care ResearchMinisterio de Ciencia e InnovaciónNational Heart, Lung, and Blood InstituteCentro Nacional de Investigaciones CardiovascularesHeart and Stroke Foundation of Canada
Mots-clésAtrial fibrillationMedicineTranslation (biology)CardiologyIntensive care medicineInternal medicineBiology

Résumé

récupéré en direct d'OpenAlex

Atrial fibrillation (AF) is a problem of major clinical importance, accounting for about 9 million cases in the European Union in 2010 with projections for an almost doubling by 2060.1 The worldwide economic burden of AF was estimated at 6 million disability-adjusted life-years of lost productivity in 2017.2 The average 3-year societal cost per patient in Denmark attributable to AF over the period 2001–2012 was estimated to be of the order of 25 000 Euros ($30 000), providing an overall cost burden in Europe of the order of 10 billion Euros.3 Clearly, AF is a major issue at the level of public health and economic burden, motivating the regular establishment of detailed society guidelines, including two in the last year.4,5 Not only is AF a substantial public health problem at the moment, but its impact is projected to increase in the future. The prevalence of AF increases exponentially with advancing age6 and with population-ageing projections point to an almost 90% increase in the number of elderly AF patients in the European Union by 2060.7 Modelling of UK data illustrate major projected increases in AF-related healthcare costs over the next decades, largely from hospitalizations.8 Improving the management of AF is an important goal that has motivated major investigative efforts, but substantial challenges remain.9 Improvements in understanding the basic mechanisms of AF and translating them clinically with rapidly advancing technologies are key to combating AF and its human/ societal/ economic consequences. Recognizing the importance of this area and the active efforts being made in the field, the Editorial Board of Cardiovascular Research decided to create an issue of the journal focused on the problem of effective clinical translation of advances in basic AF research. The issue includes nine invited review articles, as illustrated in Figure 1. Lin et al. discuss the use of multiomic approaches, including genomics, epigenomics, transcriptomics, metabolomics, and their integration for the discovery of novel biomarkers that can be used to stage AF, follow its course and evaluate the results of its management. Kany et al. have provided a state-of-the-art paper on AF genetics, dealing with their practical application to guiding the management of AF and priorities/prospects for future development. Lip et al. deal with the rapidly evolving area of artificial intelligence and machine-learning, discussing its enormous capacity to identify novel ways to diagnose, characterize, prevent, and treat AF. The classification and characterization of AF and its response to treatment is an important challenge; Boriani et al. analyse the use of novel non-invasive criteria, particularly the quantification of AF burden, as indices of the arrhythmia. Aguilar et al. review the highly significant but often underappreciated subject of endocrine control of AF. In addition to the fundamental mechanisms and clinical aspects of the atrial effects of well-recognized endocrine factors like diabetes, abnormalities in thyroxin production, obesity, the renin-angiotensin system, and sex hormones, they discuss recent insights into the role of natriuretic peptides, adrenal cortical and medullary products, hypothalamic-pituitary hormones, and the thyroid hormone calcitonin in AF control. A schematic illustration of the clinical importance of AF, along with the various topics dealt with in the invited review articles of the present issue. The principal consequences of AF that are illustrated include associated morbidity, mortality, and economic costs. The double-line surrounding AF and its consequences indicates the difficulty of making a significant impact by innovations in diagnosis, prevention, and therapy. Eight of the review articles deal with specific themes of AF research and one review paper discusses in a more general way the challenges and obstacles to clinical translation of novel basic research insights, as well as some potential solutions. AF, atrial fibrillation. A schematic illustration of the clinical importance of AF, along with the various topics dealt with in the invited review articles of the present issue. The principal consequences of AF that are illustrated include associated morbidity, mortality, and economic costs. The double-line surrounding AF and its consequences indicates the difficulty of making a significant impact by innovations in diagnosis, prevention, and therapy. Eight of the review articles deal with specific themes of AF research and one review paper discusses in a more general way the challenges and obstacles to clinical translation of novel basic research insights, as well as some potential solutions. AF, atrial fibrillation. Ablation has emerged as the single most effective approach to maintaining normal sinus rhythm in patients who have experienced AF. Filgueiras-Rama et al. deal with this important area, reviewing in detail the prospects for materially improving the success of these important procedures by targeting the basic mechanisms underlying AF initiation and maintenance, with the exploitation of new knowledge and technologies. These authors also describe practical challenges that scientists and clinicians face when attempting to implement novel mapping methods into regular clinical practice. It has long been known that the autonomic nervous system (ANS) plays a key role in AF occurrence.10 Shivkumar et al. discuss the active research being performed to harness interventions acting via ANS modulation to suppress AF and prevent its recurrence and maintenance. Research in AF generates a wide range of information at the molecular, subcellular, cellular, tissue, organ, organismal, human-subject, and population levels. These disparate sets of data need to be integrated in order to realistically determine their implications for arrhythmia likelihood and burden. Heijman et al. discuss a critical tool in the integration, validation, and application of research discoveries, the use of computational modelling. Rapid advances in computing technology have permitted the analysis of massive amounts of data and the creation of integrative and population models that permit the quantitative testing of important hypotheses about AF risk and its mechanisms, predictors, and modifiers. Finally, once all of these discoveries are made, they need to be converted into effective, safe, and practical clinical tools to improve the management of AF patients, a process often called ‘clinical translation’. Nattel et al. provide an overview of the challenges to translating basic research discoveries to clinically applicable innovations in AF management, dealing with such issues as the consequences of the regulatory and commercial landscape, the need for, availability and limitations of animal models, the alternatives to animal models (like heart cells and engineered tissue derived from human induced pluripotent stem cells), and possible paths forward to overcome impasses in therapeutic development and implementation. In addition, the issue contains a number of highly innovative original articles presenting new research findings in this area. These articles deal with topics like the role of the NLRP3 (NOD-, LRR-, and pyrin domain-containing protein 3) as a mediator of the AF-promoting effects of obesity, the effects of a molecule that promotes the resolution of inflammatory changes in a rat model of AF associated with right heart disease, the transcriptomic and proteomic landscape of AF progression in a chronic sheep model, and the involvement of calcium-handling abnormalities in post-operative AF. We are very excited about this issue, which we hope will both inform readers of Cardiovascular Research interested in this area and stimulate further research and development to tackle this important problem. This work was supported by the Canadian Institutes of Health Research and the Quebec Heart and Stroke Foundation (to S.N.), the National Institutes of Health (R01-HL131517, R01-HL136389, and R01-HL089598 to D.D.), the European Union (large-scale network project MAESTRIA, No. 965286 to D.D. and D.F-R.), the German Research Foundation (DFG, Do 769/4-1 to D.D.), the Instituto de Salud Carlos III (ISCIII), the Ministerio de Ciencia e Innovación, and the Pro CNIC Foundation, the Severo Ochoa Center of Excellence (SEV-2015-0505 to D.F.-R.), and the Spanish Ministry of Science and Innovation (to D.F-R., PID2019-109329RB-I00). Conflict of interest: S.N.: Consultant for LQTS Therapeutics. G.Y.H.L.: Consultant and speaker for BMS/Pfizer, Boehringer Ingelheim, and Daiichi-Sankyo. No fees are received personally. D.F.-R.: Co-inventor on a patent (Patent#EP3636147A1) related to a method for the identification of cardiac fibrillation drivers and the footprint of rotational activations. D.D.: Scientific advisory board member for OMEICOS Therapeutics GmbH and Acesion Pharma. The opinions expressed in this article are not necessarily those of the Editors of Cardiovascular Research or of the European Society of Cardiology.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,017
score de la tête « metaresearch » (Gemma)0,067
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
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 enseignants0,017
Score d'incertitude au seuil0,091

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0170,067
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0040,002
Bibliométrie0,0040,003
Études des sciences et des technologies0,0020,003
Communication savante0,0090,007
Science ouverte0,0030,002
Intégrité de la recherche0,0110,017
Charge utile insuffisante (le modèle a refusé de juger)0,0100,005

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 Opus0,477
Tête enseignante GPT0,483
Écart entre enseignants0,005 · 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 source (Gemma direct ou Codex distillé), 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
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

Citations7
Publié2021
Routes d'admission2
Résumé présentoui

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