Demchuk A M, Morgenstern L B, Krieger D W, Linda Chi T, Hu W, Wein T H, Hardy R J, Grotta J C, Buchan A M
University of Texas-Houston, Department of Neurology, Stroke Program, 77030, USA.
Stroke. 1999 Jan;30(1):34-9. doi: 10.1161/01.str.30.1.34.
Five pretreatment variables (P<0.1 univariate analysis), including serum glucose (>300 mg/dL), predicted symptomatic intracerebral hemorrhage (ICH) in the National Institute of Neurological Disorders and Stroke rtPA trial. We retrospectively studied stroke patients treated <3 hours from onset with intravenous rtPA at 2 institutions to evaluate the role of these variables in predicting ICH.
Baseline characteristics, including 5 prespecified variables (age, baseline glucose, smoking status, National Institutes of Health Stroke Scale [NIHSS] score, and CT changes [>33% middle cerebral artery territory hypodensity]), were reviewed in 138 consecutive patients. Variables were evaluated by logistic regression as predictors of all hemorrhage (including hemorrhagic transformation) and symptomatic hemorrhage on follow-up CT scan. Variables significant at P<0.25 level were included in a multivariate analysis. Diabetes was substituted for glucose in a repeat analysis.
Symptomatic hemorrhage rate was 9% (13 of 138). Any hemorrhage rate was 30% (42 of 138). Baseline serum glucose (5.5-mmol/L increments) was the only independent predictor of both symptomatic hemorrhage [OR, 2.26 (CI, 1.05 to 4.83), P=0.03] and all hemorrhage [OR, 2.26 (CI, 1.07 to 4.69), P=0.04]. Serum glucose >11.1 mmol/L was associated with a 25% symptomatic hemorrhage rate. Baseline NIHSS (5-point increments) was an independent predictor of all hemorrhage only [OR, 12.42 (CI, 1.64 to 94.3), P=0.01]. Univariate analysis demonstrated a trend for nonsmoking as a predictor of all hemorrhage [OR, 0.45 (CI, 0.19 to 1. 08), P=0.07]. Diabetes was also an independent predictor of ICH when substituted for glucose in repeat analysis.
Serum glucose and diabetes were predictors of ICH in rtPA-treated patients. This novel association requires confirmation in a larger cohort.
在国立神经疾病与中风研究所的rtPA试验中,五个预处理变量(单因素分析P<0.1),包括血清葡萄糖(>300mg/dL),预测有症状性脑出血(ICH)。我们回顾性研究了在两家机构中发病3小时内接受静脉rtPA治疗的中风患者,以评估这些变量在预测ICH中的作用。
回顾了138例连续患者的基线特征,包括5个预先设定的变量(年龄、基线血糖、吸烟状况、美国国立卫生研究院卒中量表[NIHSS]评分以及CT变化[大脑中动脉区域低密度>33%])。通过逻辑回归评估变量作为随访CT扫描时所有出血(包括出血转化)和症状性出血的预测因素。P<0.25水平上有显著意义的变量纳入多因素分析。在重复分析中用糖尿病替代血糖。
症状性出血率为9%(138例中的13例)。任何出血率为30%(138例中的42例)。基线血清葡萄糖(以5.5mmol/L的增量)是症状性出血[比值比(OR),2.26(95%置信区间[CI],1.05至4.83),P=0.03]和所有出血[OR,2.26(CI,1.07至4.69),P=0.04]的唯一独立预测因素。血清葡萄糖>11.1mmol/L与25%的症状性出血率相关。基线NIHSS(以5分的增量)仅是所有出血[OR,12.42(CI,1.64至94.3),P=0.01]的独立预测因素。单因素分析显示不吸烟作为所有出血预测因素有一定趋势[OR,0.45(CI,0.19至1.08),P=0.07]。在重复分析中用糖尿病替代血糖时,糖尿病也是ICH的独立预测因素。
血清葡萄糖和糖尿病是rtPA治疗患者ICH的预测因素。这种新的关联需要在更大的队列中得到证实。