Table 1: Clinical Characteristics of Patients Patient Characteristics Total patients
125
Mean age (yrs) + 2SD (range)
52.4 + 12.4 (15-91)
Male:Female n (%)
40 (32):85 (68)
Smoking n (%)
60 (48)
Hypertension n (%)
66 (52.8) 23 (18.4)
Diabetes n (%)
Seizures n (%)
9 (7.2)
Hydrocephalus n (%)
22 (17.6) 81 (64.8)
Subarachnoid hemorrhage n (%) Hunt and Hess grade n (%) 0
10 (12.3) 20 (24.7) 25 (30.9) 12 (14.8) 13 (16.0)
1 2 3 4 5
1 (1.2) 7 (5.6)
Bilateral aneurysms (mirror) n (%)
Multiple aneurysms n (%) Aneurysm characteristics Total aneurysms
28 (22.4%)
132
Left:Right n (%)
71 (60.1):47 (39.9)
Ruptured n (%)
81 (61.4) 51 (38.6)
Unruptured n (%)
Size n (%) < 10 mm
75 (56.8) 44 (34.1)
11-24 mm
> 25 mm
11 (8.3)
Location n (%) Pre-bifurcation M1
6 (4.5)
Bifurcation/Trifurcation
122 (92.5)
Post-bifurcation M1
4 (3.0)
part of the series. Postoperative angiography was obtained whenever the patient developed a new neurological deficit or when vasospasmwas suspected. Outcome was obtained from follow-up charts and clinic notes. Patient outcome was assessed using the modified Rankin scale (mRS). 6 Patients with mRS scores 0 and 1 were grouped as having good outcome, and those with mRS scores 2 through 6 were considered as having a bad outcome. Patients in whom all
of the clinical, radiological, operative, and follow-up details were not available were excluded from the study. STATISTICAL ANALYSIS Statistical analysis was performed using the SPSS software. Categorical variables were analyzed using the chi-square test, and continuous variables were compared
J La State Med Soc VOL 166 July/August 2014 161
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