Quantitative MRI analysis in children with multiple sclerosis: a multicenter feasibility pilot study

Chitnis, Tanuja; Guttmann, Charles R; Zaitsev, Alexander; Musallam, Alexander; Weinstock-Guttman, Bianca; Yeh, Ann; Rodriguez, Moses; Ness, Jayne; Gorman, Mark P; Healy, Brian C; Kuntz, Nancy; Chabas, Dorothee; Strober, Jonathan B; Waubant, Emmanuelle; Krupp, Lauren; Pelletier, Daniel; Erickson, Bradley; Bergsland, Niels; Zivadinov, Robert

doi:10.1186/1471-2377-13-173

BMC Neurology

Table 2 Estimate and 95% confidence interval for the effect of demographic features on the T2 MRI outcomes

From: Quantitative MRI analysis in children with multiple sclerosis: a multicenter feasibility pilot study

Factor	Analysis	Rate ratio for T2 lesion number*	Log-transformed T2 lesion volume**	Log-transformed maximum lesion volume**	Log-transformed mean lesion size†
Age	Unadjusted	1.00 (0.93, 1.07) P = 0.95	−0.10 (−0.22, 0.01) P = 0.08	−0.11 (−0.24, 0.01) P = 0.078	−0.02 (−0.06, 0.02) P = 0.266
	Adjusted	1.00 (0.93, 1.07) P = 0.99	−0.09 (−0.21, 0.03) P = 0.13	−0.10 (−0.23, 0.03) P = 0.12	−0.02 (−0.07, 0.02) P = 0.24
Gender (female/male)	Unadjusted	1.16 (0.75, 1.80) P = 0.51	−0.30 (−1.08, 0.48) P = 0.45	−0.35 (−1.20, 0.50) P = 0.41	−0.24 (−0.52, 0.03) P = 0.08
Gender (female/male)	Adjusted	1.24 (0.78, 1.96) P = 0.36	−0.22 (−1.08, 0.64) P = 0.61	−0.26 (−1.20, 0.67) P = 0.57	−0.26 (−0.55, 0.03) P = 0.07
Race (Non-white/White)	Unadjusted	1.20 (0.76, 1.87) P = 0.44	0.87 (0.10, 1.64) P = 0.028	1.16 (0.34, 1.99)^ P = 0.0065	0.01 (−0.27, 0.30) P = 0.92
	Adjusted	1.13 (0.69, 1.86) P = 0.62	0.87 (0.03, 1.72) P = 0.044	1.19 (0.29, 2.08)^ P = 0.011	0.01 (−0.30, 0.31) P = 0.97
Ethnicity (Hispanic/Non-Hispanic)	Unadjusted	1.39 (0.86, 2.22) P = 0.18	0.46 (−0.39, 1.32) P = 0.28	0.45 (−0.48, 1.39) P = 0.33	−0.14 (−0.43, 0.16) P = 0.36
	Adjusted	1.52 (0.86, 2.69) P = 0.15	0.36 (−0.68, 1.40) P = 0.49	0.25 (−0.89, 1.38) P = 0.66	−0.25 (−0.58, 0.09) P = 0.14
EDSS	Unadjusted	1.04 (0.86, 1.27) P = 0.67	0.20 (−0.15, 0.56) P = 0.25	0.22 (−0.16, 0.60) P = 0.26	0.05 (−0.06, 0.17) P = 0.36
	Adjusted	1.01 (0.82, 1.23) P = 0.95	0.17 (−0.21, 0.55) P = 0.36	0.19 (−0.22, 0.61) P = 0.35	0.07 (−0.05, 0.19) P = 0.25

Legend: *: negative binomial regression model, **: linear regression model, ^†: repeated measures model, EDSS: expanded disability status scale, ^: p-value < 0.05. For negative binomial model, the rate ratio corresponds to a one-unit increase in age or EDSS and the difference between the groups for the other factors. For the linear regression model, the estimate is the increase in the log-transformed volume for a one-unit increase in age or EDSS and the difference between the groups for the other factors. Analyses were adjusted for disease duration and disease modifying therapy duration.

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