Severe head injuries: an outcome prediction and survival analysis.

Autor:	Combes, P., Fauvage, B., Colonna, M., Passagia, J., Chirossel, J., Jacquot, C., Passagia, J G, Chirossel, J P
Předmět:	CRITICAL care medicine LONGITUDINAL method SURVIVAL analysis (Biometry) TIME LOGISTIC regression analysis HEAD injuries TREATMENT effectiveness PROPORTIONAL hazards models SEVERITY of illness index HOSPITAL mortality GLASGOW Coma Scale THERAPEUTICS
Zdroj:	Intensive Care Medicine; Dec1996, Vol. 22 Issue 12, p1391-1395, 5p
Abstrakt:	Objective: To identify the predictors determined early after admission and associated with unfavorable outcome or early (within 48 h) death after severe head injury.Design: Prospective cohort study.Setting: A neurosurgical intensive care unit in a university hospital.Patients: 198 consecutive comatose patients hospitalized from 1989 to 1992.Results: Logistic regression showed that a combination of age, best motor response score from the Glasgow Coma Scale, and hypoxia provided a good prediction model of unfavorable outcome (sensitivity = 0.93). The length of participation of survivors was 6 to 61 months (median 27.1). The Cox model demonstrated age, motor score less than 3, mydriasis, and hypoxia as poor prognosis factors.Conclusions: Clinicians can determine the odds of a good outcome from the combination of three easily measurable factors using a simple diagram constructed from logistic regression. Survival analysis showed that motor score adjusted values greater than 3 had the same prognosis. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
Externí odkaz:	Zobrazit plný text záznamu Full text from SpringerLink