BACKGROUND AND PURPOSE: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: Serum glucose and diabetes were predictors of ICH in rtPA-treated patients. This novel association requires confirmation in a larger cohort.
BACKGROUND AND PURPOSE: 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 strokepatients treated <3 hours from onset with intravenous rtPA at 2 institutions to evaluate the role of these variables in predicting ICH. METHODS: 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. RESULTS: 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. CONCLUSIONS: Serum glucose and diabetes were predictors of ICH in rtPA-treated patients. This novel association requires confirmation in a larger cohort.
Authors: William J Meurer; Phillip A Scott; Angela F Caveney; Jennifer J Majersik; Shirley M Frederiksen; Annette Sandretto; Ann B Holden; Robert Silbergleit Journal: Int J Stroke Date: 2010-06 Impact factor: 5.266
Authors: G A Christoforidis; A P Slivka; C Karakasis; Y Mohammad; B Avutu; M Yang; E C Bourekas; D W Chakeres; H W Slone; W T Yuk Journal: Interv Neuroradiol Date: 2010-10-25 Impact factor: 1.610
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Authors: P N Sylaja; Wei Dong; James C Grotta; Mary K Miller; Kristen Tomita; Scott Hamilton; Charles Semba; Michael D Hill Journal: Neurocrit Care Date: 2007 Impact factor: 3.210