Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 2 de 2
Filtrar
Mais filtros











Intervalo de ano de publicação
1.
Rev. invest. clín ; Rev. invest. clín;73(1): 23-30, Jan.-Feb. 2021. tab, graf
Artigo em Inglês | LILACS | ID: biblio-1289741

RESUMO

ABSTRACT Background: There is little information about the early clinical features of cardioembolic stroke before complementary examinations. Objective: The aim of this study was to identify risk factors, clinical features, and early outcomes of cardioembolic stroke. Methods: Retrospective study based on prospectively collected data available from a university medical center hospital-based stroke registry. Consecutive patients diagnosed with cardioembolic infarction were selected and compared to those diagnosed with an atherothrombotic stroke. Predictors of cardioembolic infarction were assessed by multivariate analysis. Results: From a cohort of 4597 consecutive patients, we studied 956 patients diagnosed with cardioembolic infarction (80 years [standard deviation (SD) 9.14]; 63% women) and 945 with atherothrombotic infarction (77.01 years [SD 9.75]; 49.8% women). The univariate comparative analysis reported that advanced age (≥ 85 years), female gender, atrial fibrillation (AF), ischemic heart disease, and congestive heart failure were significantly more frequent in the cardioembolic group, whereas hypertension, diabetes, peripheral vascular disease, heavy smoking, hyperlipidemia, and previous transient ischemic attack were significant in the atherothrombotic group. In the logistic regression model, AF (odds ratio [OR] 15.75, 95% confidence interval [CI]: 12.14-20.42), ischemic heart disease (OR 3.12, 95% CI: 2.16-4.5), female gender (OR 1.56, 95% CI: 1.22-2.00), and sudden-onset (OR 1.97, 95% CI: 1.54-2.51), were independent significant predictors of cardioembolic stroke. Conclusions: Potential cardioembolic stroke requires a comprehensive evaluation, since early classification and identification through predictors would improve effective management. (REV INVEST CLIN. 2021;73(1):23-30)


Assuntos
Humanos , Masculino , Feminino , Idoso , Idoso de 80 Anos ou mais , AVC Trombótico/diagnóstico , AVC Embólico/diagnóstico , Estudos Retrospectivos , Fatores de Risco
2.
Rev Invest Clin ; 73(1): 023-030, 2020 05 07.
Artigo em Inglês | MEDLINE | ID: mdl-33053576

RESUMO

BACKGROUND: There is little information about the early clinical features of cardioembolic stroke before complementary examinations. OBJECTIVE: The aim of this study was to identify risk factors, clinical features, and early outcomes of cardioembolic stroke. METHODS: Retrospective study based on prospectively collected data available from a university medical center hospitalbased stroke registry. Consecutive patients diagnosed with cardioembolic infarction were selected and compared to those diagnosed with an atherothrombotic stroke. Predictors of cardioembolic infarction were assessed by multivariate analysis. RESULTS: From a cohort of 4597 consecutive patients, we studied 956 patients diagnosed with cardioembolic infarction (80 years [standard deviation (SD) 9.14]; 63% women) and 945 with atherothrombotic infarction (77.01 years [SD 9.75]; 49.8% women). The univariate comparative analysis reported that advanced age (≥ 85 years), female gender, atrial fibrillation (AF), ischemic heart disease, and congestive heart failure were significantly more frequent in the cardioembolic group, whereas hypertension, diabetes, peripheral vascular disease, heavy smoking, hyperlipidemia, and previous transient ischemic attack were significant in the atherothrombotic group. In the logistic regression model, AF (odds ratio [OR] 15.75, 95% confidence interval [CI]: 12.14-20.42), ischemic heart disease (OR 3.12, 95% CI: 2.16-4.5), female gender (OR 1.56, 95% CI: 1.22-2.00), and sudden-onset (OR 1.97, 95% CI: 1.54-2.51), were independent significant predictors of cardioembolic stroke. CONCLUSIONS: Potential cardioembolic stroke requires a comprehensive evaluation, since early classification and identification through predictors would improve effective management.


Assuntos
AVC Embólico/diagnóstico , AVC Trombótico/diagnóstico , Idoso , Idoso de 80 Anos ou mais , Feminino , Humanos , Masculino , Estudos Retrospectivos , Fatores de Risco
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA