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1.
Springerplus ; 5(1): 1051, 2016.
Artículo en Inglés | MEDLINE | ID: mdl-27462499

RESUMEN

BACKGROUND: Critical stroke causes high morbidity and mortality. We examined if variables in the early stage of critical stroke could predict in-hospital mortality. METHODS: We recruited 611 ischemic and 805 hemorrhagic stroke patients who were admitted within 24 h after the symptom onset. Data were analyzed with independent t test and Chi square test, and then with multivariate logistic regression analysis. RESULTS: In ischemic stroke, National Institutes of Health Stroke Scale (NIHSS) score (OR 1.08; 95 % CI 1.06-1.11; P < 0.01), white blood cell count (OR 1.11; 95 % CI 1.05-1.18; P < 0.01), systolic blood pressure (BP) (OR 0.49; 95 % CI 0.26-0.90; P = 0.02) and age (OR 1.03; 95 % CI 1.00-1.05; P = 0.03) were associated with in-hospital mortality. In hemorrhagic stroke, NIHSS score (OR 1.12; 95 % CI 1.09-1.14; P < 0.01), systolic BP (OR 0.25; 95 % CI 0.15-0.41; P < 0.01), heart disease (OR 1.94; 95 % CI 1.11-3.39; P = 0.02) and creatinine (OR 1.16; 95 % CI 1.01-1.34; P = 0.04) were related to in-hospital mortality. Nomograms using these significant predictors were constructed for easy and quick evaluation of in-hospital mortality. CONCLUSION: Variables in acute stroke can predict in-hospital mortality and help decision-making in clinical practice using nomogram.

2.
Springerplus ; 5: 47, 2016.
Artículo en Inglés | MEDLINE | ID: mdl-26835227

RESUMEN

The purpose of this study was to analyze the outcomes and complications between stroke subtypes after intravenous thrombolysis. A total of 471 patients with acute ischemic stroke after intravenous thrombolysis from January 2007 to April 2014 were enrolled and classified according to the Trial of Org 10172 in Acute Stroke Treatment. A multivariate logistic regression model was used to evaluate the outcomes and complications among stroke subtypes after adjusting for baseline variables. Of the 471 patients, 117 (25.1 %) had large-artery atherosclerosis (LAA), 148 (31.8 %) had cardioembolism (CE), 82 (17.6 %) had small vessel disease (SVD), 119 (25.5 %) had undetermined etiology, and 5 (1.1 %) had other determined etiology. The patients with SVD had the mildest initial stroke severity and highest ratio of good and favorable outcomes, whereas those with CE had a higher rate of symptomatic intracranial hemorrhage (sICH) than those with SVD. After adjusting for confounding factors, the ratio of favorable outcome in the patients with SVD stroke was higher than in those with LAA. SVD was associated with a significantly lower rate of any hemorrhage compared to other stroke subtypes, whereas there were no differences in sICH or mortality between stroke subtypes. A lower initial National Institutes of Health Stroke Scale score was associated with good and favorable outcomes, and lower rates of sICH and mortality. The patients with SVD after intravenous thrombolysis had better outcomes and a lower rate of hemorrhage even after adjusting for confounding factors. Stroke severity was an independent factor associated with better functional outcomes, sICH and mortality.

3.
Eur Neurol ; 67(3): 186-92, 2012.
Artículo en Inglés | MEDLINE | ID: mdl-22377641

RESUMEN

BACKGROUND/AIMS: A number of risk factors for early worsening of neurological symptoms have been identified. We aimed to evaluate the influence of hemorheologic, biochemical, and metabolic factors on neurological deterioration during hospitalization following acute ischemic stroke and develop a model of neurological deterioration. METHODS: Worsening of stroke was defined as a deleterious increase in NIH Stroke Scale (NIHSS) score of ≥4 points during hospitalization. We performed multivariate logistic regression analysis and constructed a prediction model based on chart data of 2,398 patients admitted at five medical centers; 203 of the patients had worsening of stroke and 2,186 had not. RESULTS: The results of multivariate logistic regression analysis showed that hemoglobin (odds ratio: 0.529) and albumin (odds ratio: 0.024) were significantly associated with stroke deterioration, as were the modified Rankin Scale on emergency department admission (odds ratio: 4.956) and length of hospitalization (odds ratio: 1.201). After adjusting for age, gender and NIHSS on emergency department admission, only hemoglobin (odds ratio: 0.894, 95% confidence interval: 0.814-0.981, p = 0.018) was associated with worsening. CONCLUSION: Hemoglobin and albumin were found to be risk factors for persistent neurological deterioration during hospitalization following acute ischemic stroke, suggesting that blood viscosity may be related to neurological deterioration.


Asunto(s)
Isquemia Encefálica/diagnóstico , Progresión de la Enfermedad , Hospitalización , Accidente Cerebrovascular/diagnóstico , Adolescente , Adulto , Anciano , Anciano de 80 o más Años , Femenino , Humanos , Masculino , Persona de Mediana Edad , Valor Predictivo de las Pruebas , Pronóstico , Recuperación de la Función , Estudios Retrospectivos , Factores de Riesgo , Índice de Severidad de la Enfermedad
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