title: Prognosis study of 324 cases with spontaneous intracerebral hemorrhage in Chongqing, China.
abstract: We aimed to investigate the clinical characteristics of intracerebral hemorrhage (ICH) in Chongqing City, China, and evaluate some factors predicting the prognosis of ICH. We collected 324 cases with spontaneous intracerebral hemorrhage in our hospital from January 2008 to November 2009. Univariate variance analyses were used for comparison of characteristics. Odds ratios (ORs) were calculated by logistic regression. Potential confounders were adjusted, including gender, age, smoking, and drinking status. Hypertension was the major cause of the spontaneous intracerebral hemorrhage, accounting for 75% of all patients in this study. Hemorrhages were located in lobes (22.5%), basal ganglia (65.3%), cerebral ventricles (2.6%), cerebellum (4.2%), and brain stem (7.4%). Serum glucose and conscious status were independently associated with in-hospital mortality after ICH. Comparing subjects who died in the hospital to those who survived, the adjusted ORs of serum glucose were 1.248 (95% CI 1.013-1.537, p=0.037), and the adjusted ORs of consciousness status were 1.995 (95% CI 1.519-2.621, p<0.001). In China, spontaneous intracerebral hemorrhage is mostly caused by hypertension and is usually located in the basal ganglia. Serum glucose and consciousness status independently predict the prognosis of ICH.
authors: Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
authors: Qian
authors: Q
authors: Li
authors: Xin-Yue
authors: XY
authors: Qin
authors: John H
authors: JH
authors: Zhang
authors: Jun
authors: J
authors: Yang
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000704:Analysis of Variance; D001921:Brain / Q000473:pathology; D002543:Cerebral Hemorrhage / Q000175:diagnosis* / Q000453:epidemiology* / Q000401:mortality; D002681:China / Q000453:epidemiology; D005260:Female; D017052:Hospital Mortality; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D011379:Prognosis; D012307:Risk Factors; D055815:Young Adult