{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Proietti M"],"funding":["Boston Scientific Corporation","Edwards Lifesciences","Fondazione Internazionale Menarini","Amgen Cardiovascular","Vifor Pharma","Novartis Pharma","Bayer","Gedeon Richter","The Alliance Daiichi Sankyo Europe GmbH and Eli Lilly and Company","Boehringer Ingelheim","National Institute for Health Research (NIHR)","The Bristol Myers Squibb and Pfizer Alliance","AstraZeneca","Servier","MSD-Merck &amp; Co.","Abbott Vascular","Sanofi","ResMed"],"pagination":["256"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8527730"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["19(1)"],"pubmed_abstract":["<h4>Background</h4>Epidemiological studies in atrial fibrillation (AF) illustrate that clinical complexity increase the risk of major adverse outcomes. We aimed to describe European AF patients' clinical phenotypes and analyse the differential clinical course.<h4>Methods</h4>We performed a hierarchical cluster analysis based on Ward's Method and Squared Euclidean Distance using 22 clinical binary variables, identifying the optimal number of clusters. We investigated differences in clinical management, use of healthcare resources and outcomes in a cohort of European AF patients from a Europe-wide observational registry.<h4>Results</h4>A total of 9363 were available for this analysis. We identified three clusters: Cluster 1 (n = 3634; 38.8%) characterized by older patients and prevalent non-"],"journal":["BMC medicine"],"pubmed_title":["Impact of clinical phenotypes on management and outcomes in European atrial fibrillation patients: a report from the ESC-EHRA EURObservational Research Programme in AF (EORP-AF) General Long-Term Registry."],"pmcid":["PMC8527730"],"funding_grant_id":["NIHR201320"],"pubmed_authors":["Loehndorf S","Metherell S","Allison J","Abalea J","Ozieranski K","Nabauer M","Lane D","Taieb J","Di Chiara A","Winstanley L","Martel I","Jan A","Doncovska S","Esen E","Erglis A","Ritter O","Reithmeier A","Le Heuzey J","Ilic S","Fletcher L","Ilic V","Streb W","Riabaia I","Russell K","Starflinger A","Zajac P","Sliwinski A","Polat N","Berger M","Stockport J","Rautureau J","Bairamukova A","Serdechnaya E","Grundt J","Anguita M","Ekmekciu U","Svenningsen A","Petkar S","Benham L","Howard L","Santos J","Hettwer S","Santos L","Vonderhagen E","Jedrzejczyk-Patej 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report from the ESC-EHRA EURObservational Research Programme in AF (EORP-AF) General Long-Term Registry.","description":"<h4>Background</h4>Epidemiological studies in atrial fibrillation (AF) illustrate that clinical complexity increase the risk of major adverse outcomes. We aimed to describe European AF patients' clinical phenotypes and analyse the differential clinical course.<h4>Methods</h4>We performed a hierarchical cluster analysis based on Ward's Method and Squared Euclidean Distance using 22 clinical binary variables, identifying the optimal number of clusters. We investigated differences in clinical management, use of healthcare resources and outcomes in a cohort of European AF patients from a Europe-wide observational registry.<h4>Results</h4>A total of 9363 were available for this analysis. We identified three clusters: Cluster 1 (n = 3634; 38.8%) characterized by older patients and prevalent non-","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 Oct","modification":"2025-04-19T15:10:01.949Z","creation":"2025-04-19T15:10:01.949Z"},"accession":"S-EPMC8527730","cross_references":{"pubmed":["34666757"],"doi":["10.1186/s12916-021-02120-3"]}}