Predictive clinical factors of very early in-hospital mortality in subarachnoid hemorrhage

被引:18
作者
Arboix, A
Martí-Vilalta, JL
机构
[1] Hosp Sagrat Cor, Dept Neurol, Acute Stroke Unit, E-08025 Barcelona, Spain
[2] Hosp Santa Creu & St Pau, Dept Neurol, Acute Stroke Unit, Barcelona, Spain
关键词
subarachnoid hemorrhage; progressive neurological deficit; limb weakness; very early in-hospital mortality;
D O I
10.1016/S0303-8467(99)00026-8
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
This study was conducted to determine clinical predictors of very early in-hospital mortality (within the first 72 h) in patients with non-traumatic subarachnoid hemorrhage. Data of 184 patients with subarachnoid hemorrhage were obtained From consecutive stroke patients included in the prospective Barcelona Stroke Registry. Demographic, anamnestic, clinical, neurological and neuroimaging variables in the subgroup of patients who died within 72 h after the onset of symptoms were compared with those in the subgroup of patients that had survived this initial period. The independent predictive value of each variable on the development of very early death was assessed with a logistic regression analysis. Very early in-hospital death was observed in 18 patients (9.8%). These patients were significantly more likely to have progressive deficit, seizures, altered consciousness, limb weakness, sensory involvement and basal ganglia hematoma than patients without very early death. After multivariate analysis, only progressive deficit (odds ratio (OR) 6.90; 95% confidence interval (95% CI) 2-23.80) and limb weakness (OR 5.46; 95% CI 1.78-16.77) were independent clinical predictors of very early mortality. Progressive neurological deficit and limb weakness at the onset of stroke was independent predictive factors of very early death in patients with non-traumatic subarachnoid hemorrhage. These results further emphasize the need to establish an early etiological diagnosis and to manage these patients aggressively including early surgery in selected cases. (C) 1999 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:100 / 105
页数:6
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