Logistic regression analysis of the outcome on 90 d and associated factors in conscious patients with intracerebral hemorrhage

Abstract

Objective To investigate the outcome on 90 d and influencing factors for the outcome in conscious patients with intracerebral hemorrhage (ICH). Methods Two hundred and twenty-five patients with ICH were admitted to our hospital within 6 h after onset and were suitable to be treated with medical conservative therapy. Patients were divided into two groups, the conscious group [Glasgow Coma Scale (GCS) score ≥ 9] and the coma group (GCS score ≤ 8). Clinical features including gender, age, National Institute of Health Stroke Scale (NIHSS) score, etc, were recorded. The prognosis of these patients on 90 d after onset was evaluated by the following index: survival or death; favorable prognosis [modified Rankin Scale (mRS) score ≤ 2] or unfavorable prognosis (mRS score ≥ 3, death or severe disability). The difference of clinical features and prognosis between the conscious group and coma group was explored. The prognosis of the patients in conscious group was analyzed, and influencing factors for prognosis were explored. Results Multifactorial Logistic regression analysis indicated that hyperglycemia, higher NIHSS score, rehemorrhagia and hematemesis were independent risk factors for 90-day mortality. On the other hand, advanced age, higher NIHSS score, rehemorrhagia and hematemesis were independent risk factors for death or severe disability on 90-day. Conclusion In ICH patients who were conscious on admission, hyperglycemia, advanced age, higher NIHSS score, rehemorrhagia and hematemesis are strong predictors for mortality and unfavourable outcome. Controlling hyperglycemia and prevention of rehemorrhagia and hematemesis are important elements for reducing 90-day mortality and severe disability.

Keywords

• Cerebral hemorrhage
• Glasgow Coma Scale
• Prognosis
• Regression analysis