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Associating cryptogenic ischemic stroke in the young with cardiovascular risk factor phenotypes

Acute Ischemic Stroke (AIS) in the young is increasing in prevalence and the largest subtype within this cohort is cryptogenic. To curb this trend, new ways of defining cryptogenic stroke and associated risk factors are needed. We aimed to gain insights into the presence or absence of cardiovascular...

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Autores principales: Dardick, Joseph M., Flomenbaum, David, Labovitz, Daniel L., Cheng, Natalie, Liberman, Ava L., Esenwa, Charles
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7801422/
https://www.ncbi.nlm.nih.gov/pubmed/33431950
http://dx.doi.org/10.1038/s41598-020-79499-1
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author Dardick, Joseph M.
Flomenbaum, David
Labovitz, Daniel L.
Cheng, Natalie
Liberman, Ava L.
Esenwa, Charles
author_facet Dardick, Joseph M.
Flomenbaum, David
Labovitz, Daniel L.
Cheng, Natalie
Liberman, Ava L.
Esenwa, Charles
author_sort Dardick, Joseph M.
collection PubMed
description Acute Ischemic Stroke (AIS) in the young is increasing in prevalence and the largest subtype within this cohort is cryptogenic. To curb this trend, new ways of defining cryptogenic stroke and associated risk factors are needed. We aimed to gain insights into the presence or absence of cardiovascular risk factors in cases of cryptogenic stroke. We conducted a retrospective cohort study of patients aged 18–49 who presented to an urban tertiary care center with AIS. We manually collected predefined demographic, clinical, laboratory and radiological variables. Clinical risk phenotypes were determined using these variables through multivariate analysis of patients with the small and large vessel disease subtypes (vascular phenotype) and cardioembolic subtype (cardiac phenotype). The resultant phenotype models were applied to cases deemed cryptogenic. Within the 449 patients who met criteria, patients with small and large vessel disease (vascular phenotype) had higher rates of hypertension, intracranial atherosclerosis, and diabetes mellitus, and higher admission glucose, HbA1c, admission blood pressure, and cholesterol compared to the patients with cardioembolic AIS. The cardioembolic subgroup (cardiac phenotype) had significantly higher rates of congestive heart failure (CHF), rheumatic heart disease, atrial fibrillation, clotting disorders, left ventricular hypertrophy, larger left atrial sizes, lower ejection fractions, and higher B-type natriuretic peptide and troponin levels. Adjusted multivariate analysis produced six variables independently associated with the vascular phenotype (age, male sex, hemoglobin A1c, ejection fraction (EF), low-density lipoprotein (LDL) cholesterol, and family history of AIS) and five independently associated with the cardiac phenotype (age, female sex, decreased EF, CHF, and absence of intracranial atherosclerosis). Applying these models to cryptogenic stroke cases yielded that 51.5% fit the vascular phenotype and 3.1% fit the cardiac phenotype. In our cohort, half of young patients with cryptogenic stroke fit the risk factor phenotype of small and large vessel strokes.
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spelling pubmed-78014222021-01-12 Associating cryptogenic ischemic stroke in the young with cardiovascular risk factor phenotypes Dardick, Joseph M. Flomenbaum, David Labovitz, Daniel L. Cheng, Natalie Liberman, Ava L. Esenwa, Charles Sci Rep Article Acute Ischemic Stroke (AIS) in the young is increasing in prevalence and the largest subtype within this cohort is cryptogenic. To curb this trend, new ways of defining cryptogenic stroke and associated risk factors are needed. We aimed to gain insights into the presence or absence of cardiovascular risk factors in cases of cryptogenic stroke. We conducted a retrospective cohort study of patients aged 18–49 who presented to an urban tertiary care center with AIS. We manually collected predefined demographic, clinical, laboratory and radiological variables. Clinical risk phenotypes were determined using these variables through multivariate analysis of patients with the small and large vessel disease subtypes (vascular phenotype) and cardioembolic subtype (cardiac phenotype). The resultant phenotype models were applied to cases deemed cryptogenic. Within the 449 patients who met criteria, patients with small and large vessel disease (vascular phenotype) had higher rates of hypertension, intracranial atherosclerosis, and diabetes mellitus, and higher admission glucose, HbA1c, admission blood pressure, and cholesterol compared to the patients with cardioembolic AIS. The cardioembolic subgroup (cardiac phenotype) had significantly higher rates of congestive heart failure (CHF), rheumatic heart disease, atrial fibrillation, clotting disorders, left ventricular hypertrophy, larger left atrial sizes, lower ejection fractions, and higher B-type natriuretic peptide and troponin levels. Adjusted multivariate analysis produced six variables independently associated with the vascular phenotype (age, male sex, hemoglobin A1c, ejection fraction (EF), low-density lipoprotein (LDL) cholesterol, and family history of AIS) and five independently associated with the cardiac phenotype (age, female sex, decreased EF, CHF, and absence of intracranial atherosclerosis). Applying these models to cryptogenic stroke cases yielded that 51.5% fit the vascular phenotype and 3.1% fit the cardiac phenotype. In our cohort, half of young patients with cryptogenic stroke fit the risk factor phenotype of small and large vessel strokes. Nature Publishing Group UK 2021-01-11 /pmc/articles/PMC7801422/ /pubmed/33431950 http://dx.doi.org/10.1038/s41598-020-79499-1 Text en © The Author(s) 2021 Open Access This 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/.
spellingShingle Article
Dardick, Joseph M.
Flomenbaum, David
Labovitz, Daniel L.
Cheng, Natalie
Liberman, Ava L.
Esenwa, Charles
Associating cryptogenic ischemic stroke in the young with cardiovascular risk factor phenotypes
title Associating cryptogenic ischemic stroke in the young with cardiovascular risk factor phenotypes
title_full Associating cryptogenic ischemic stroke in the young with cardiovascular risk factor phenotypes
title_fullStr Associating cryptogenic ischemic stroke in the young with cardiovascular risk factor phenotypes
title_full_unstemmed Associating cryptogenic ischemic stroke in the young with cardiovascular risk factor phenotypes
title_short Associating cryptogenic ischemic stroke in the young with cardiovascular risk factor phenotypes
title_sort associating cryptogenic ischemic stroke in the young with cardiovascular risk factor phenotypes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7801422/
https://www.ncbi.nlm.nih.gov/pubmed/33431950
http://dx.doi.org/10.1038/s41598-020-79499-1
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