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Phenotyping left ventricular systolic dysfunction in asymptomatic individuals for improved risk stratification

AIMS: Left ventricular systolic dysfunction (LSVD) is a heterogeneous condition with several factors influencing prognosis. Better phenotyping of asymptomatic individuals can inform preventative strategies. This study aims to explore the clinical phenotypes of LVSD in initially asymptomatic subjects...

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Autores principales: Rauseo, Elisa, Abdulkareem, Musa, Khan, Abbas, Cooper, Jackie, Lee, Aaron M, Aung, Nay, Slabaugh, Gregory G, Petersen, Steffen E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10531121/
https://www.ncbi.nlm.nih.gov/pubmed/37699069
http://dx.doi.org/10.1093/ehjci/jead218
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author Rauseo, Elisa
Abdulkareem, Musa
Khan, Abbas
Cooper, Jackie
Lee, Aaron M
Aung, Nay
Slabaugh, Gregory G
Petersen, Steffen E
author_facet Rauseo, Elisa
Abdulkareem, Musa
Khan, Abbas
Cooper, Jackie
Lee, Aaron M
Aung, Nay
Slabaugh, Gregory G
Petersen, Steffen E
author_sort Rauseo, Elisa
collection PubMed
description AIMS: Left ventricular systolic dysfunction (LSVD) is a heterogeneous condition with several factors influencing prognosis. Better phenotyping of asymptomatic individuals can inform preventative strategies. This study aims to explore the clinical phenotypes of LVSD in initially asymptomatic subjects and their association with clinical outcomes and cardiovascular abnormalities through multi-dimensional data clustering. METHODS AND RESULTS: Clustering analysis was performed on 60 clinically available variables from 1563 UK Biobank participants without pre-existing heart failure (HF) and with left ventricular ejection fraction (LVEF) < 50% on cardiovascular magnetic resonance (CMR) assessment. Risks of developing HF, other cardiovascular events, death, and a composite of major adverse cardiovascular events (MACE) associated with clusters were investigated. Cardiovascular imaging characteristics, not included in the clustering analysis, were also evaluated. Three distinct clusters were identified, differing considerably in lifestyle habits, cardiovascular risk factors, electrocardiographic parameters, and cardiometabolic profiles. A stepwise increase in risk profile was observed from Cluster 1 to Cluster 3, independent of traditional risk factors and LVEF. Compared with Cluster 1, the lowest risk subset, the risk of MACE ranged from 1.42 [95% confidence interval (CI): 1.03–1.96; P < 0.05] for Cluster 2 to 1.72 (95% CI: 1.36–2.35; P < 0.001) for Cluster 3. Cluster 3, the highest risk profile, had features of adverse cardiovascular imaging with the greatest LV re-modelling, myocardial dysfunction, and decrease in arterial compliance. CONCLUSIONS: Clustering of clinical variables identified three distinct risk profiles and clinical trajectories of LVSD amongst initially asymptomatic subjects. Improved characterization may facilitate tailored interventions based on the LVSD sub-type and improve clinical outcomes.
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spelling pubmed-105311212023-09-28 Phenotyping left ventricular systolic dysfunction in asymptomatic individuals for improved risk stratification Rauseo, Elisa Abdulkareem, Musa Khan, Abbas Cooper, Jackie Lee, Aaron M Aung, Nay Slabaugh, Gregory G Petersen, Steffen E Eur Heart J Cardiovasc Imaging Original Paper AIMS: Left ventricular systolic dysfunction (LSVD) is a heterogeneous condition with several factors influencing prognosis. Better phenotyping of asymptomatic individuals can inform preventative strategies. This study aims to explore the clinical phenotypes of LVSD in initially asymptomatic subjects and their association with clinical outcomes and cardiovascular abnormalities through multi-dimensional data clustering. METHODS AND RESULTS: Clustering analysis was performed on 60 clinically available variables from 1563 UK Biobank participants without pre-existing heart failure (HF) and with left ventricular ejection fraction (LVEF) < 50% on cardiovascular magnetic resonance (CMR) assessment. Risks of developing HF, other cardiovascular events, death, and a composite of major adverse cardiovascular events (MACE) associated with clusters were investigated. Cardiovascular imaging characteristics, not included in the clustering analysis, were also evaluated. Three distinct clusters were identified, differing considerably in lifestyle habits, cardiovascular risk factors, electrocardiographic parameters, and cardiometabolic profiles. A stepwise increase in risk profile was observed from Cluster 1 to Cluster 3, independent of traditional risk factors and LVEF. Compared with Cluster 1, the lowest risk subset, the risk of MACE ranged from 1.42 [95% confidence interval (CI): 1.03–1.96; P < 0.05] for Cluster 2 to 1.72 (95% CI: 1.36–2.35; P < 0.001) for Cluster 3. Cluster 3, the highest risk profile, had features of adverse cardiovascular imaging with the greatest LV re-modelling, myocardial dysfunction, and decrease in arterial compliance. CONCLUSIONS: Clustering of clinical variables identified three distinct risk profiles and clinical trajectories of LVSD amongst initially asymptomatic subjects. Improved characterization may facilitate tailored interventions based on the LVSD sub-type and improve clinical outcomes. Oxford University Press 2023-09-12 /pmc/articles/PMC10531121/ /pubmed/37699069 http://dx.doi.org/10.1093/ehjci/jead218 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Paper
Rauseo, Elisa
Abdulkareem, Musa
Khan, Abbas
Cooper, Jackie
Lee, Aaron M
Aung, Nay
Slabaugh, Gregory G
Petersen, Steffen E
Phenotyping left ventricular systolic dysfunction in asymptomatic individuals for improved risk stratification
title Phenotyping left ventricular systolic dysfunction in asymptomatic individuals for improved risk stratification
title_full Phenotyping left ventricular systolic dysfunction in asymptomatic individuals for improved risk stratification
title_fullStr Phenotyping left ventricular systolic dysfunction in asymptomatic individuals for improved risk stratification
title_full_unstemmed Phenotyping left ventricular systolic dysfunction in asymptomatic individuals for improved risk stratification
title_short Phenotyping left ventricular systolic dysfunction in asymptomatic individuals for improved risk stratification
title_sort phenotyping left ventricular systolic dysfunction in asymptomatic individuals for improved risk stratification
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10531121/
https://www.ncbi.nlm.nih.gov/pubmed/37699069
http://dx.doi.org/10.1093/ehjci/jead218
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