. Author manuscript; available in PMC: 2017 Jun 1.

Published in final edited form as: Support Care Cancer. 2015 Dec 4;24(6):2421–2427. doi: 10.1007/s00520-015-3040-y

Table 3.

Multinomial logistic regression modeling of sedation use as predicted by demographic and clinical characteristics

	No. sedation		Partial sedation
Demographic/clinical characteristics	OR (95 % CI)	P	OR (95 % CI)	P
Age at time of treatment (year)	3.24^* (2.12–4.95)	<0.001	2.00^* (1.28–3.12)	0.002
Sex
Male	Reference		Reference
Female	0.97 (0.43–2.16)	0.942	0.61 (0.18–2.11)	0.437
Tumor location^a
Supratentorial	Reference		Reference
Infratentorial	0.19^* (0.07–0.48)	<0.001	1.42 (0.26–7.77)	0.685
Patient position during treatment
Prone/supine	Reference		Reference
Prone	0.41 (0.08–2.09)	0.285	0.47 (0.06–3.65)	0.469
Supine	1.29 (0.28–5.89)	0.746	0.57 (0.08–4.08)	0.577
Received craniospinal radiation
No	Reference		Reference
Yes	0.41 (0.17–1.003)	0.051	1.11 (0.33–3.75)	0.865

The reference category is full sedation

ORodds ratio, CIconfidence interval

One patient with an infratentorial and supratentorial tumor was excluded

Statistically significant value