Analysis on Death-Associated Factors of Patients with Subarachnoid Hemorrhage During Hospitalization

Male Chi-Square Distribution Smoking Intracranial Aneurysm Middle Aged Subarachnoid Hemorrhage Severity of Illness Index 3. Good health Hospitalization Leukocyte Count Logistic Models Sex Factors Treatment Outcome Risk Factors Hypertension Humans Female Glasgow Coma Scale Hydrocephalus Retrospective Studies
DOI: 10.1007/978-3-7091-0353-1_38 Publication Date: 2011-06-10T13:29:14Z
ABSTRACT
The prognosis of patients with high-clinical-score subarachnoid hemorrhage remains poor, with early high mortality rate. Therefore, to predict the early outcome of patients after subarachnoid hemorrhage, several clinical factors were hypothesized to be related to death during hospitalization.Eighty-nine cases after subarachnoid hemorrhage, divided into two groups (① death group; ② survival group) according to their clinical situations during hospitalization, were studied. Twelve factors, including gender, hypertension, intracranial aneurysm, cerebral vascular spasm, hydrocephalus and conscious disturbance during hospitalization, smoking, age, WFNS (World Federation of Neurological Surgeons) scale, Fisher grade, white blood cell count and blood glucose level at admission, were analyzed by using Chi-square test, t test, and Logistic multiple regression analysis.The results of single-factor analysis indicated that ruptured intracranial aneurysm, conscious disturbance, increasing age, high WFNS scale, high Fisher grade, increasing white blood cell count and blood glucose level were statistically significant different between the two groups.The logistic analysis results showed that ruptured intracranial aneurysm (odds ratio [OR], 9.253; 95% confidence interval [CI], 0.617-98.263), high WFNS score (OR, 2.105; 95% CI, 1.275-5.204) and increasing white blood cell count (OR, 1.397; 95% CI 1.062-2.013) were the independent risk factors associated with death during hospitalization for patients with subarachnoid hemorrhage.Increased white blood cell count may indicate poor outcomes for patients during hospitalization, even early death.
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