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. 2009 Nov 20;132(1):250–259. doi: 10.1093/brain/awn301

Table 5.

Logistic regression analysis and effect of potential confounders on T2-lesion load volume

Logistic regression equation R2 Q2/Q1 Odds ratio 95% CI Q3/Q1 Odds ratio 95% CI Q4/Q1 Odds ratio 95% CI
RR/SP/CIS (N = 483) T2LL = AODO + DD + DRB1*1501 0.15 1.90 1.69 1.32
P= 0.015 P= 0.049 P = 0.314
1.13–3.20 1.00–2.86 0.77–2.29
RR/SP/CIS (N = 483) T2LL = AODO + DD + EDSS + DRB1*1501 0.18 1.92 1.74 1.38
P= 0.014 P= 0.039 P = 0.258
1.14–3.23 1.03–2.94 0.79–2.40
RR/SP/CIS (N = 482) T2LL = AODO + TX + DD + DRB1*1501 0.19 1.97 1.76 1.39
P= 0.012 P= 0.038 P = 0.245
1.16–3.33 1.03–3.00 0.80–2.43
RR/SP/CIS (N = 482) T2LL = AODO + TX + DD + EDSS + DRB1*1501 0.21 1.97 1.79 1.44
P= 0.012 P= 0.032 P = 0.210
1.16–3.35 1.05–3.06 0.82–2.52

RR = relapsing-remitting MS; SP = secondary-progressive MS; CIS = clinically isolated syndrome; T2LL = T2-lesion load; AODO = age of disease onset; DD = disease duration; TX = exposure to MS treatment.

Significance of bold values is P≤0.05.