Effects of tight computerized glucose control on neurological outcome in severely brain injured patients: a multicenter sub-group analysis of the randomized-controlled open-label CGAO-REA study

Table 1 Characteristics of severe-brain injured patients

	Control group	IIT group	P value
	Number = 98	Number = 90	P value
Age	53 (15)	53 (16)	0.90
SAPS II	45 (15)	47 (17)	0.50
GCS on admission	7 (4)	6 (3)	0.02
Sex male/female	60(61)/38(39)	51(56)/39(44)	0.50
BMI	26 (5)	24 (4)	0.02
Diabetes mellitus	9 (9.2)	4 (4.4)	0.20
Laboratory glycemia on admission (mmol.l⁻¹)	8.1 (6.8 to 9.8)	8.3 (6.8 to 9.6)	0.50
Monitoring of ICP	34 (35)	47 (52)	0.01^*
Cause of brain injury, number(%)			0.50
Traumatic brain injury	19 (19)	22 (24)
Aneurysmal subarachnoid hemorrhage	28 (29)	32 (36)
Intra-cerebral hemorrhage	12 (12)	10 (11)
Malignant stroke	11 (11)	5 (6)
Resuscitated cardiac arrest	13 (13)	13 (14)
Other	15 (15)	8 (9)

Characteristics of patients included in the CGAO-REA study and suffering from a severe brain injury, in two neuro-intensive care units of two university hospitals. Continuous parametric data are expressed as mean (standard deviation) and non-parametric data as median (25^th to 75^th percentile) and categorical data as number (%). Continuous data were analyzed with Student’s t test. Categorical data were analyzed with χ² test. BMI: body mass index (kg.m⁻²); GCS: Glasgow Coma Score; ICP: intracerebral pressure; IIT: intensive insulin therapy; SAPS II: Simplified Acute Physiology Score II.

ISSN: 1364-8535