. Author manuscript; available in PMC: 2015 Nov 1.

Published in final edited form as: Anesth Analg. 2014 Nov;119(5):1201–1207. doi: 10.1213/ANE.0000000000000382

Table 7. Binary logistic regression analyses with age, sex, SC type, and CPI as covariates.

Genotypes		Probability of Zero Utilization
Genotypes		Estimates (Std Err)	OR (95% CI)	p-value
DRD3 Ser9Gly (ref=Gly/Gly)	Gly/Ser	1.51 (0.63)	4.53 (1.41, 28.58)	0.016
DRD3 Ser9Gly (ref=Gly/Gly)	Ser/Ser	0.46 (1.12)	1.59 (0.06, 14.84)	0.678
COMT Val158Met (ref=Val/Val)	Val/Met	-0.48 (0.56)	0.62 (0.17, 1.85)	0.392
COMT Val158Met (ref=Val/Val)	Met/Met	-1.61 (1.45)	0.20 (0.00, 1.84)	0.267
Alleles
DRD3 Ser9Gly (ref=Gly)	Ser	0.78 (0.42)	2.17 (0.96, 4.92)	0.063
COMT Val158Met (ref=Val)	Met	-1.02 (0.51)	0.36 (0.13, 0.98)	0.044

Sickle cell (SC). SC types SCD-SS, SCD-SC, and Other (refer to Table 1. legend). Composite pain index (CPI). Standard Error (Std Err). Reference (ref). Odds ratio (OR). Confidence interval (CI). We did not observe nonlinearity between either age or CPI and the logit.