PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
September 26, 2007EP Europace293 citationsOpen Access

Outcome parameters for trials in atrial fibrillation: Recommendations from a consensus conference organized by the German Atrial Fibrillation Competence NETwork and the European Heart Rhythm Association

View Full Paper
PKPaulus KirchhofAAAngelo AuricchioJBJeroen J. Bax

Structured PICO

P
Population
Patients with atrial fibrillation participating in clinical trials

This consensus document outlines required outcome parameters across seven domains to standardize and comprehensively evaluate therapies in atrial fibrillation clinical trials.

Abstract

Atrial fibrillation (AF), the most common atrial arrhythmia, has a complex aetiology and causes relevant morbidity and mortality due to different mechanisms, including but not limited to stroke, heart failure, and tachy- or bradyarrhythmia. Current therapeutic options (rate control, rhythm control, antithrombotic therapy, 'upstream therapy') only prevent a part of this burden of disease. New treatment modalities are therefore currently under evaluation in clinical trials. Given the multifold clinical consequences of AF, controlled trials in AF patients should assess the effect of therapy in each of the main outcome domains. This paper describes an expert consensus of required outcome parameters in seven relevant outcome domains, namely death, stroke, symptoms and quality of life, rhythm, left ventricular function, cost, and emerging outcome parameters. In addition to these 'requirements' for outcome assessment in AF trials, further outcome parameters are described in each outcome domain. In addition to a careful selection of a relevant primary outcome parameter, coverage of outcomes in all major domains of AF-related morbidity and mortality is desirable for any clinical trial in AF.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Kirchhof et al. (2007) studied this question.

synapsesocial.com/papers/69f934195a4050c311d4b306https://doi.org/10.1093/europace/eum191
Ask AI
Helpful
Bookmark
Share
View Full Paper