Abstract | PURPOSE: MATERIALS AND METHODS: Thirty healthy controls and 86 patients with acute ICH were included. Plasma samples were obtained on admission. Its concentration was measured by enzyme-linked immunosorbent assay. RESULTS: Thirty-two patients (37.2%) died from ICH in a week. The plasma resistin level (24.2 +/- 9.7 ng/mL) in patients was significantly higher than that (8.8 +/- 2.4 ng/mL) in healthy controls after adjustment by age, sex, hypertension, diabetes mellitus, hyperlipidemia, and body mass index using analysis of covariate (F = 9.507, P = .003).A univariate correlation analysis found Glasgow Coma Scale (GCS) score and ICH volume, but a multivariate linear regression only selected GCS score (t = -4.587, P < .001) to be related to plasma resistin level. On a multivariate logistic regression, plasma resistin level (odds ratio = 1.257, 95% confidence interval = 1.058-1.492, P = .009) was an independent variable predicting 1-week mortality. A receiver operating characteristic curve identified that a plasma resistin level greater than 26.3 ng/mL predicted 1-week mortality of patients with 81.2% sensitivity and 81.5% specificity (P < .001). Areas under curves of GCS score and ICH volume were not statistically significantly larger than that of plasma resistin level (P > .05). CONCLUSIONS: Increased resistin level is found after ICH, in association with a poor clinical outcome.
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Authors | Xiao-Qiao Dong, Yue-Yu Hu, Wen-Hua Yu, Zu-Yong Zhang |
Journal | Journal of critical care
(J Crit Care)
Vol. 25
Issue 2
Pg. 243-7
(Jun 2010)
ISSN: 1557-8615 [Electronic] United States |
PMID | 19903588
(Publication Type: Journal Article)
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Copyright | Copyright (c) 2010 Elsevier Inc. All rights reserved. |
Chemical References |
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Topics |
- Acute Disease
- Aged
- Area Under Curve
- Basal Ganglia Hemorrhage
(blood, mortality)
- Case-Control Studies
- Enzyme-Linked Immunosorbent Assay
- Female
- Glasgow Coma Scale
- Humans
- Linear Models
- Male
- Middle Aged
- Multivariate Analysis
- Prognosis
- Resistin
(blood)
- Sensitivity and Specificity
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