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. Author manuscript; available in PMC: 2012 Sep 24.
Published in final edited form as: J Neurosurg. 2012 Mar 23;116(6):1311–1317. doi: 10.3171/2012.2.JNS111837

TABLE 3.

Risk factor analysis for postoperative CSF leak using logistic regression analysis*

Variable Total No. of Patients Postoperative CSF Leak (n = 13)
No. (%) Unadjusted OR (95% CI) Adjusted OR (95% CI)
age in yrs, continuous 0.94 (0.89–0.98) 0.93 (0.88–0.98)
sex
 female 50 10 (20) 1.0
 male 46 3 (6.5) 0.28 (0.05–1.20)
BMI in kg/m2, continuous 1.47 (1.05–2.01) 1.61 (1.10–2.29)
mass vol in cm3, continuous sella/suprasellar remnant 0.94 (0.84–1.06)
 no 49 9 (18.4) 1.0
 yes 47 4 (7.8) 0.42 (0.09–1.64)
cavernous remnant
 no 74 11 (14.9) 1.0
 yes 22 2 (9.1) 0.58 (0.06–2.99)
sphenoid packing
 no 70 4 (5.7) 1.0
 yes 26 7 (26.9) 3.86 (0.98–15.8)
intraop lumbar drain/puncture
 no 0 12 (12.6) 1.0
 yes 1 1 (100) 6.39 (0.16–infinity)
repeat transsphenoidal surgery
 no 89 11 (12.4) 1.0
 yes 7 2 (28.6) 2.80 (0.24–19.88)
intraop leak
 no 55 4 (7.3) 1.0 1.0
 yes 41 9 (21.9) 3.54 (0.89–17.06) 5.66 (1.10–47.95)
*

Unadjusted odds ratios were determined with univariate logistic regression analysis and adjusted odds ratios were determined using multivariate logistic regression analysis.

For every 5-kg/m2 increase in BMI.