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. 2014 May 8;10(8):2387–2394. doi: 10.4161/hv.29094

Table 3. Association between selected characteristics and SeroResponse proportion (S0 to S2) (n = 46).

      Crude Multivariate model 1a Multivariate model 2b Multivariate model 3c Multivariate model 4d
Category   sR (%) OR (95%CI) P OR (95%CI) P OR (95%CI) P OR (95%CI) P OR (95%CI) P
Age 60–83/36–59 52/60 0.73 (0.23–2.28) 0.59 1.58 (0.37–6.74) 0.53 1.52 (0.37–6.37) 0.56 0.71 (0.18–2.80) 0.63 0.96 (0.22–4.15) 0.95
Gender Female/Male 47/72 0.34 (0.10–1.18) 0.09 0.60 (0.14–2.63) 0.50            
Underlying disease
  Lymphoma
  Acute leukemia
  Myeloma
+/−
+/−
+/−
33/74
69/51
75/53
0.18(0.05–0.61)
2.13 (0.55–8.21)
2.71 (0.49–15.1)
0.01
0.27
0.25
0.09 (0.01–1.12)
0.40 (0.03–4.83)
0.39 (0.02–6.96)
0.06
0.47
0.52
0.08 (0.01–0.95)
0.40 (0.03–4.76)
0.47 (0.03–7.71)
0.05
0.47
0.59
    0.43 (0.08–2.18) 0.31
Chemotherapy
  Steroid
  Immunosuppressive Agents
  Anticancer agents*
  Rituximab
+/−
+/−
+/−
41/76
40/58
30/69
10/68
0.22 (0.06–0.76)
0.48 (0.07–3.17)
0.21 (0.06–0.75)
0.05 (0.01–0.45)
0.02
0.45
0.02
0.01
        0.75 (0.11–4.93)
0.42 (0.04–4.49)
0.56 (0.08–3.84)
0.08 (0.01–0.86)
0.76
0.47
0.55
0.04
0.09 (0.01–1.04) 0.05

Logistic regression model. CI: confidence interval; OR: odds ratio; aModel include age, sex, lymphoma, acute leukemia, and myeloma; bModel include age, lymphoma, acute leukemia and myeloma. cModel include age, steroid, immunosuppressive agents, anticancer agents and rituximab; dModel include age, lymphoma and rituximab; *Anticancer agents does not include rituximab.