Skip to main content
. Author manuscript; available in PMC: 2016 May 24.
Published in final edited form as: Neurocrit Care. 2014 Dec;21(3):476–482. doi: 10.1007/s12028-014-9974-y

Table 2.

Clinical predictors of seizures

Patient characteristic Without seizure (n = 61) With seizure (n = 8) Univariate odds OR [95 % CI] Multivariate odds OR [95 % CI]
Demographics
 Age > median, n (%) 30 (49.2 %) 6 (75.0 %) 3.1 [0.58–16.58]
Clinical presentation
 Thick cisternal blood (F3), n (%) 44 (72.1 %) 7 (87.5 %) 2.7 [0.31–23.66]
 High clinical grade (HH4-5), n (%) 23 (39.0 %) 2 (28.6 %) 0.6 [0.11–3.50]
 Intraparenchymal hemorrhage, n (%) 14 (23.3 %) 1 (12.5 %) 0.5 [0.05–4.15]
 Intraventricular hemorrhage, n (%) 43 (70.5 %) 5 (62.5 %) 0.7 [0.15–3.23]
 Hydrocephalus, n (%) 33 (54.1 %) 5 (62.5 %) 1.4 [0.31–6.45]
 MCA aneurysm location, n (%) 5 (8.2 %) 3 (37.5 %) 6.7 [1.23–36.74]* 5.0 [0.78–29.13]
 ACA aneurysm location, n (%) 5 (8.2 %) 0 (0 %)
 Craniotomy, n (%) 40 (65.6 %) 5 (62.5 %) 0.9 [0.19–4.02]
 Clinical suspicion for seizures, n (%) 26 (42.6 %) 5 (62.5 %) 2.2 [0.49–10.24]
Electrophysiology
 AED at time of EEG, n (%) 36 (59.0 %) 2 (25.0 %) 0.2 [0.04–1.24]** 0.3 [0.04–1.58]
 cEEG duration (days), mean (SD) 5.5 (3.8) 6.6 (4.6) t(67) = 0.72, p = 0.5

MCA middle cerebral artery, ACA anterior cerebral artery, AED anti-epileptic drug

*

p ≤ 0.05,

**

p ≤ 0.01