Cerebral infarction in diabetes: Clinical pattern, stroke subtypes, and predictors of in-hospital mortality

<p>Abstract</p> <p>Background</p> <p>To compare the characteristics and prognostic features of ischemic stroke in patients with diabetes and without diabetes, and to determine the independent predictors of in-hospital mortality in people with diabetes and ischemic strok...

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Main Authors: Massons Joan, de Marcos Lourdes, García-Eroles Luis, Rivas Antoni, Arboix Adrià, Oliveres Montserrat
Format: Article
Language:English
Published: BMC 2005-04-01
Series:BMC Neurology
Online Access:http://www.biomedcentral.com/1471-2377/5/9
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spelling doaj-3f76fe4189c64bd1888854a94d07912c2020-11-24T23:58:56ZengBMCBMC Neurology1471-23772005-04-0151910.1186/1471-2377-5-9Cerebral infarction in diabetes: Clinical pattern, stroke subtypes, and predictors of in-hospital mortalityMassons Joande Marcos LourdesGarcía-Eroles LuisRivas AntoniArboix AdriàOliveres Montserrat<p>Abstract</p> <p>Background</p> <p>To compare the characteristics and prognostic features of ischemic stroke in patients with diabetes and without diabetes, and to determine the independent predictors of in-hospital mortality in people with diabetes and ischemic stroke.</p> <p>Methods</p> <p>Diabetes was diagnosed in 393 (21.3%) of 1,840 consecutive patients with cerebral infarction included in a prospective stroke registry over a 12-year period. Demographic characteristics, cardiovascular risk factors, clinical events, stroke subtypes, neuroimaging data, and outcome in ischemic stroke patients with and without diabetes were compared. Predictors of in-hospital mortality in diabetic patients with ischemic stroke were assessed by multivariate analysis.</p> <p>Results</p> <p>People with diabetes compared to people without diabetes presented more frequently atherothrombotic stroke (41.2% vs 27%) and lacunar infarction (35.1% vs 23.9%) (<it>P </it>< 0.01). The in-hospital mortality in ischemic stroke patients with diabetes was 12.5% and 14.6% in those without (<it>P </it>= NS). Ischemic heart disease, hyperlipidemia, subacute onset, 85 years old or more, atherothrombotic and lacunar infarcts, and thalamic topography were independently associated with ischemic stroke in patients with diabetes, whereas predictors of in-hospital mortality included the patient's age, decreased consciousness, chronic nephropathy, congestive heart failure and atrial fibrillation</p> <p>Conclusion</p> <p>Ischemic stroke in people with diabetes showed a different clinical pattern from those without diabetes, with atherothrombotic stroke and lacunar infarcts being more frequent. Clinical factors indicative of the severity of ischemic stroke available at onset have a predominant influence upon in-hospital mortality and may help clinicians to assess prognosis more accurately.</p> http://www.biomedcentral.com/1471-2377/5/9
collection DOAJ
language English
format Article
sources DOAJ
author Massons Joan
de Marcos Lourdes
García-Eroles Luis
Rivas Antoni
Arboix Adrià
Oliveres Montserrat
spellingShingle Massons Joan
de Marcos Lourdes
García-Eroles Luis
Rivas Antoni
Arboix Adrià
Oliveres Montserrat
Cerebral infarction in diabetes: Clinical pattern, stroke subtypes, and predictors of in-hospital mortality
BMC Neurology
author_facet Massons Joan
de Marcos Lourdes
García-Eroles Luis
Rivas Antoni
Arboix Adrià
Oliveres Montserrat
author_sort Massons Joan
title Cerebral infarction in diabetes: Clinical pattern, stroke subtypes, and predictors of in-hospital mortality
title_short Cerebral infarction in diabetes: Clinical pattern, stroke subtypes, and predictors of in-hospital mortality
title_full Cerebral infarction in diabetes: Clinical pattern, stroke subtypes, and predictors of in-hospital mortality
title_fullStr Cerebral infarction in diabetes: Clinical pattern, stroke subtypes, and predictors of in-hospital mortality
title_full_unstemmed Cerebral infarction in diabetes: Clinical pattern, stroke subtypes, and predictors of in-hospital mortality
title_sort cerebral infarction in diabetes: clinical pattern, stroke subtypes, and predictors of in-hospital mortality
publisher BMC
series BMC Neurology
issn 1471-2377
publishDate 2005-04-01
description <p>Abstract</p> <p>Background</p> <p>To compare the characteristics and prognostic features of ischemic stroke in patients with diabetes and without diabetes, and to determine the independent predictors of in-hospital mortality in people with diabetes and ischemic stroke.</p> <p>Methods</p> <p>Diabetes was diagnosed in 393 (21.3%) of 1,840 consecutive patients with cerebral infarction included in a prospective stroke registry over a 12-year period. Demographic characteristics, cardiovascular risk factors, clinical events, stroke subtypes, neuroimaging data, and outcome in ischemic stroke patients with and without diabetes were compared. Predictors of in-hospital mortality in diabetic patients with ischemic stroke were assessed by multivariate analysis.</p> <p>Results</p> <p>People with diabetes compared to people without diabetes presented more frequently atherothrombotic stroke (41.2% vs 27%) and lacunar infarction (35.1% vs 23.9%) (<it>P </it>< 0.01). The in-hospital mortality in ischemic stroke patients with diabetes was 12.5% and 14.6% in those without (<it>P </it>= NS). Ischemic heart disease, hyperlipidemia, subacute onset, 85 years old or more, atherothrombotic and lacunar infarcts, and thalamic topography were independently associated with ischemic stroke in patients with diabetes, whereas predictors of in-hospital mortality included the patient's age, decreased consciousness, chronic nephropathy, congestive heart failure and atrial fibrillation</p> <p>Conclusion</p> <p>Ischemic stroke in people with diabetes showed a different clinical pattern from those without diabetes, with atherothrombotic stroke and lacunar infarcts being more frequent. Clinical factors indicative of the severity of ischemic stroke available at onset have a predominant influence upon in-hospital mortality and may help clinicians to assess prognosis more accurately.</p>
url http://www.biomedcentral.com/1471-2377/5/9
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