Table 1 Demographics

			Age mean (SD)	Education mean (SD)	Disease duration median (IQR)	EDSS median (IQR)	CVLT-II z-score data median (IQR)	SDMT z-score data median (IQR)
BR1	HC	Female (13)	44 ± 12	14 ± 2	NA	NA	0.13 (0.85)	−0.09 (0.85)
	MS B−	Female (19)	45 ± 10	14 ± 3	13 (14.3)	2.5 (1)	0.24 (1.23)	0.005.(1.35)
	MS B+	Female (7)	49 ± 7	13 ± 3	19(3.5)	3 (1.8)	−0.09 (1.96)	−0.18 (0.57)
BR2	HC	Female (10)	49 ± 11	15 ± 2	NA	NA	0.45 (1.29)	0.43 (1.23)
	HC	Male (15)	50 ± 11	16 ± 2	NA	NA	−0.41 (1.48)	0.29 (1.56)
	MS B−	Female (17)	49 ± 9	16 ± 3	17(9.3)	2.5 (1.6)	0.02 (1.48)	0.005 (2.67)
	MS B−	Male (18)	48 ± 9	14 ± 2	18 (12)	2.8 (1.5)	0.07 (2.25)	−0.14 (1.13)
	MS B+	Female (9)	13 ± 3	13 ± 3	11 (9)	3.5 (1.8)	0.021 (1.48)	−0.47 (0.92)
				p-value <0.05 Significant difference between HC, MS B−, and MS B+, only when considering the whole dataset.(one-way ANOVA test)		p-value <0.05 Significant difference between MS B+ and MS B− considering: • Whole dataset • Only female • Only BR2 (Wilkinson’s rank sum test)

The table presents the demographics of the datasets considering all the subdivisions: sex (Male and Female), disease and treatment conditions (HC, MS B−, and MS B+), and the scanner update (BR1 and BR2). We used a one-way ANOVA test with treatment status as the grouping variable to evaluate the difference in age, education level, and neuropsychological scores (for the two tests CVLT-II and SDMT) across the three groups (HC, MS B−, and MS B+) for the whole dataset, for only female, for BR2, and for BR1, separately. In these same subdivisions, we tested the difference in disease duration and EDSS score between MS groups with a Wilkinson’s rank sum test.
EDSS expanded disability status scale, CVLT-II California Verbal Learning Test – II, SDMT Symbol-to-Digit modality test, NA not applicable.

Quick links

Search