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. 2020 Jun 23;162(9):2295–2301. doi: 10.1007/s00701-020-04455-x

Table 2.

Univariate analysis of possible predictors of deep-vein thrombosis linked to subarachnoid hemorrhage.

DVT (n = 29) No DVT (n = 141) p value
ICA 0 (0.00%) 18 (13.47%) 0.046*
MCA 7 (24.13%) 25 (17.73%) 0.467
ACA 3 (10.34%) 10 (7.09%) 0.388
ACoA 12 (41.37%) 48 (34.04%) 1.000
CP 6 (20.68%) 30 (21.98%) 0.437
SM 1 (3.44%) 10 (7.80%) 0.693
ICH 11 (37.90%) 27 (19.10%) 0.027*
IVH 14 (48.30%) 71 (50.40%) 0.838
Vasospasm 9 (31.00%) 41 (29.10%) 0.833
Surgical clipping 14 (48.30%) 45 (31.90%) 0.091
Dec craniectomy 5 (17.20%) 12 (8.5%) 0.153
WFNS scale 2 (1–5) 3 (2–5) 0.996
Fisher scale 4 (3–4) 4 (3–4) 0.168
D-dimer at hosp (mcg/L) 965 (488–2166) 543 (266–1107) 0.002*
PT start (days) 4 (3–5) 3 (2–4) 0.010*
Ventilation days (days) 14.17 ± 11.46 11.06 ± 12.31 0.196
Infection (%) 8 (27.59%) 35 (24.82%) 0.755
Motor deficit (%) 17 (58.62%) 47 (33.33%) 0.010*

ICA internal carotid artery, MCA middle cerebral artery, ACA anterior cerebral artery, ACoA anterior communicating artery, CP posterior cerebral artery, SM sine materia, ICH intraparenchymal cerebral hemorrhage, IVH intraventricular hemorrhage, WFNS World Federation of Neurological Surgeons, PT pharmacologic thromboprophylaxis

*Statistically significant results