Table 3.

Multivariable Cox regression models assessing predictors of OS in different indolent lymphoma subtypes

FL (n = 23 384)SMZL (n = 2005)NMZL (n = 6374)EMZL (n = 12 151)
HR95% CIP valueHR95% CIP valueHR95% CIP valueHR95% CIP value
Age (y)             
≥60 vs <60 3.67 3.47-3.87 <.001 3.09 2.56-3.73 <.001 3.85 3.45-4.29 <.001 5.58 5.07-6.13 <.001 
Gender             
Male vs female 1.25 1.19-1.31 <.001 1.14 0.99-1.32 .07 1.20 1.10- 1.30 <.001 1.23 1.15-1.31 <.001 
Ann Arbor stage             
III-IV vs I-II 1.25 1.19-1.31 <.001 1.17 0.99-1.38 .07 1.34 1.22-1.46 <.001 1.49 1.38-1.60 <.001 
HGT              
Yes vs no 4.22 3.83-4.65 <.001 4.01 3.07-5.24 <.001 3.74 3.08-4.54 <.001 4.39 3.61-5.34 <.001 
Management             
Observation vs treatment 0.95 0.90-0.99 .03 0.84 0.72-0.98 .03 0.94 0.87-1.02 .15 1.09 1.02-1.16 .01 
FL (n = 23 384)SMZL (n = 2005)NMZL (n = 6374)EMZL (n = 12 151)
HR95% CIP valueHR95% CIP valueHR95% CIP valueHR95% CIP value
Age (y)             
≥60 vs <60 3.67 3.47-3.87 <.001 3.09 2.56-3.73 <.001 3.85 3.45-4.29 <.001 5.58 5.07-6.13 <.001 
Gender             
Male vs female 1.25 1.19-1.31 <.001 1.14 0.99-1.32 .07 1.20 1.10- 1.30 <.001 1.23 1.15-1.31 <.001 
Ann Arbor stage             
III-IV vs I-II 1.25 1.19-1.31 <.001 1.17 0.99-1.38 .07 1.34 1.22-1.46 <.001 1.49 1.38-1.60 <.001 
HGT              
Yes vs no 4.22 3.83-4.65 <.001 4.01 3.07-5.24 <.001 3.74 3.08-4.54 <.001 4.39 3.61-5.34 <.001 
Management             
Observation vs treatment 0.95 0.90-0.99 .03 0.84 0.72-0.98 .03 0.94 0.87-1.02 .15 1.09 1.02-1.16 .01 

FL grade 1 to 2.

Time-dependent variable.

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