Retrospective analysis of the predictive effect of routine biochemical results on the prognosis of intracerebral hemorrhage

Abstract

Objective: To find the effective biochemical factors for predicting the outcome of acute intracerebral hemorrhage (ICH). Methods: According to the outcome, 497 ICH patients were divided into two groups (effective treatment group, ineffective treatment group). The routine biochemical results were analyzed between groups with SPSS software 13.0, including TC, TG, HDL-c, LDL-c, UA, and Glu. The differences of these items were found by independent sample T test and Kruskal-Wallis test between groups. Then the items, which were significantly associated with the prognosis of ICH patients, were obtained by the logistic regression. In addition, we calculated the odds ratio (OR) for the special indicators by chi-square test. Results: Only UA, Glu, and HDL-c had significant differences between groups (P < 0.05) among the six biochemical items. The binary logistic regression analysis indicated that high Glu and UA were related to the outcome of ICH (P < 0.01). By chi-square test, the OR of high Glu was 3.95 (2.27-6.87 with 95% CI) and that of high UA was 2.19 (1.16-4.11with 95% CI), but HDL-c's OR was only 0.90 (0.41-1.98 with 95% CI) without statistical significance. Conclusion: High Glu and UA were risk factors for the prognosis of ICH; monitoring and controlling the Glu and UA may be advisable improving the prognosis of ICH. © 2011 Springer-Verlag/Wien.