Blunt cerebrovascular injury in elderly fall patients: are we screening enough?

Table 3 Logistic regression model to determine independent risk factors of in-hospital mortality in elderly ground-level falls (n = 1168)

	Coefficient	S.E.	Wald	Odds ratio	95% C.I.	p
Age (years)	0.046	.001	2525	1.047	1.045–1.049	< 0.001
Male sex	0.483	.013	1442	1.621	1.581–1.662	< 0.001
ISS	0.091	.001	12,574	1.096	1.094–1.097	< 0.001
Admission SBP (mmHg)	− 0.005	.000	720	0.995	0.994–0.995	< 0.001
Admission GCS	− 0.280	.002	25,836	0.756	0.753–0.758	< 0.001
BCVI	0.571	.097	35	1.770	1.464–2.139	< 0.001
≥ 1 BCVI screening injury risk factor	0.379	.017	495	1.461	1.413–1.511	< 0.001
Constant	− 3.401	.082	1720			< 0.001

Logistic regression model for predictors of in-hospital mortality. p values are calculated by the Wald test. Area under the cross-validated receiver operating characteristic curve for the model is 0.8233
CI confidence interval, SE standard error

ISSN: 1749-7922