title: 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 (1.16-4.11 with 95% CI), but HDL-c's OR was only 0.90 (0.41-1.98 with 95% CI) without statistical significance.
  
  
  CONCLUSIONS
  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.
authors: Clinical Laboratories, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People's Republic of China.
authors: Hui
authors: H
authors: Chen
authors: Fengzeng
authors: F
authors: Li
authors: Xiaolin
authors: X
authors: Wang
authors: Yuhan
authors: Y
authors: Kong
authors: Yonghong
authors: Y
authors: Wang
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001786:Blood Glucose / Q000502:physiology*; D002543:Cerebral Hemorrhage / Q000150:complications / Q000175:diagnosis* / Q000453:epidemiology / Q000378:metabolism*; D002681:China / Q000453:epidemiology; D005260:Female; D006801:Humans; D050356:Lipid Metabolism / Q000502:physiology*; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D011379:Prognosis; D012189:Retrospective Studies; D018709:Statistics, Nonparametric; D013997:Time Factors; D016896:Treatment Outcome; D014527:Uric Acid / Q000097:blood*
chemical_list: D001786:Blood Glucose; D014527:Uric Acid