Predicting intracranial hemorrhage after traumatic brain injury in low and middle-income countries: A prognostic model based on a large, multi-center, international cohort

Table 2 Descriptive characteristics of study population

Variables	n	n ICH	% ICH
Age (years)	5669	3917	69
> = 19	716	493	69
20-29	1747	1147	66
30-39	1187	819	69
40-49	863	597	69
50-59	580	412	71
60-69	305	236	77
70-79	201	157	78
>=80	70	56	80
	p¹ < 0.001
Gender	5669	3917	69
Male	4723	3296	70
Female	946	621	66
	p = 0.012
Time since injury (hour)	5669	3917	69
<=1	1049	623	59
1- ≤3	1677	1121	67
>3	2943	2173	74
	p < 0.001
GCS	5669	3917	69
Mild (13–14)	1294	641	50
Moderate (9–12)	1825	1189	65
Severe (3–8)	2550	2087	82
	p < 0.001
Pupil Reactivity	5669	3917	69
Both reactive	4741	3102	65
One or both unreactive	928	815	88
	p < 0.001
Major Extracranial Injury	5643	3897	69
None	4281	2961	69
Yes	1362	936	69
	p = 0.758
Type of injury	5654	3909	69
Road traffic accident	4144	2875	68
Fall >2 metres	615	430	70
Other mechanism	895	604	68
	p = 0.998
Seizure	5646	3900	69
No	5216	3603	69
Yes	430	297	69
	p = 0.998
Death at Two Weeks	5669	3917	69
Alive	4386	2793	64
Dead	1283	1124	88
	p < 0.001
Death at Six Months	5443	3762	69
Alive	3890	2410	62
Dead	1553	1352	87
	p < 0.001

ISSN: 1471-227X