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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

BACKGROUND: 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. METHODS: We performed a hierarchical cluster a...

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Autores principales: Proietti, Marco, Vitolo, Marco, Harrison, Stephanie L., Lane, Deirdre A., Fauchier, Laurent, Marin, Francisco, Nabauer, Michael, Potpara, Tatjana S., Dan, Gheorghe-Andrei, Boriani, Giuseppe, Lip, Gregory Y. H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8527730/
https://www.ncbi.nlm.nih.gov/pubmed/34666757
http://dx.doi.org/10.1186/s12916-021-02120-3
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author Proietti, Marco
Vitolo, Marco
Harrison, Stephanie L.
Lane, Deirdre A.
Fauchier, Laurent
Marin, Francisco
Nabauer, Michael
Potpara, Tatjana S.
Dan, Gheorghe-Andrei
Boriani, Giuseppe
Lip, Gregory Y. H.
author_facet Proietti, Marco
Vitolo, Marco
Harrison, Stephanie L.
Lane, Deirdre A.
Fauchier, Laurent
Marin, Francisco
Nabauer, Michael
Potpara, Tatjana S.
Dan, Gheorghe-Andrei
Boriani, Giuseppe
Lip, Gregory Y. H.
author_sort Proietti, Marco
collection PubMed
description BACKGROUND: 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. METHODS: 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. RESULTS: 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-cardiac comorbidities; Cluster 2 (n = 2774; 29.6%) characterized by younger patients with low prevalence of comorbidities; Cluster 3 (n = 2955;31.6%) characterized by patients’ prevalent cardiovascular risk factors/comorbidities. Over a mean follow-up of 22.5 months, Cluster 3 had the highest rate of cardiovascular events, all-cause death, and the composite outcome (combining the previous two) compared to Cluster 1 and Cluster 2 (all P < .001). An adjusted Cox regression showed that compared to Cluster 2, Cluster 3 (hazard ratio (HR) 2.87, 95% confidence interval (CI) 2.27–3.62; HR 3.42, 95%CI 2.72–4.31; HR 2.79, 95%CI 2.32–3.35), and Cluster 1 (HR 1.88, 95%CI 1.48–2.38; HR 2.50, 95%CI 1.98–3.15; HR 2.09, 95%CI 1.74–2.51) reported a higher risk for the three outcomes respectively. CONCLUSIONS: In European AF patients, three main clusters were identified, differentiated by differential presence of comorbidities. Both non-cardiac and cardiac comorbidities clusters were found to be associated with an increased risk of major adverse outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-021-02120-3.
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spelling pubmed-85277302021-10-25 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 Proietti, Marco Vitolo, Marco Harrison, Stephanie L. Lane, Deirdre A. Fauchier, Laurent Marin, Francisco Nabauer, Michael Potpara, Tatjana S. Dan, Gheorghe-Andrei Boriani, Giuseppe Lip, Gregory Y. H. BMC Med Research Article BACKGROUND: 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. METHODS: 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. RESULTS: 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-cardiac comorbidities; Cluster 2 (n = 2774; 29.6%) characterized by younger patients with low prevalence of comorbidities; Cluster 3 (n = 2955;31.6%) characterized by patients’ prevalent cardiovascular risk factors/comorbidities. Over a mean follow-up of 22.5 months, Cluster 3 had the highest rate of cardiovascular events, all-cause death, and the composite outcome (combining the previous two) compared to Cluster 1 and Cluster 2 (all P < .001). An adjusted Cox regression showed that compared to Cluster 2, Cluster 3 (hazard ratio (HR) 2.87, 95% confidence interval (CI) 2.27–3.62; HR 3.42, 95%CI 2.72–4.31; HR 2.79, 95%CI 2.32–3.35), and Cluster 1 (HR 1.88, 95%CI 1.48–2.38; HR 2.50, 95%CI 1.98–3.15; HR 2.09, 95%CI 1.74–2.51) reported a higher risk for the three outcomes respectively. CONCLUSIONS: In European AF patients, three main clusters were identified, differentiated by differential presence of comorbidities. Both non-cardiac and cardiac comorbidities clusters were found to be associated with an increased risk of major adverse outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-021-02120-3. BioMed Central 2021-10-20 /pmc/articles/PMC8527730/ /pubmed/34666757 http://dx.doi.org/10.1186/s12916-021-02120-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Proietti, Marco
Vitolo, Marco
Harrison, Stephanie L.
Lane, Deirdre A.
Fauchier, Laurent
Marin, Francisco
Nabauer, Michael
Potpara, Tatjana S.
Dan, Gheorghe-Andrei
Boriani, Giuseppe
Lip, Gregory Y. H.
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
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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8527730/
https://www.ncbi.nlm.nih.gov/pubmed/34666757
http://dx.doi.org/10.1186/s12916-021-02120-3
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