Table 1.

Multivariable analysis of the effects of prognostic factors on PFS in combination with MRD categories in PB at EOT

Cox regressionUnivariable comparisonHR95% CIP
Treatment arm     
 G-Clb vs R-Clb 0.58 0.46-0.73 <.001 
MRD in PB     
 Positive/progressive disease/death vs undetectable 3.94 2.75-5.64 <.001 
White blood cell count     
 ≥50 vs <50 1.33 1.05-1.69 .020 
Serum thymidine kinase (U/L)     
 >10 vs ≤10 1.35 1.09-1.68 .007 
Deletion in 17p and/or TP53 mutation     
 Yes vs no 2.70 1.91-3.82 <.001 
Deletion in 11q     
 Yes vs no 1.87 1.43-2.44 <.001 
IGHV mutational status     
 Unmutated vs mutated 1.97 1.52-2.55 <.001 
Cox regressionUnivariable comparisonHR95% CIP
Treatment arm     
 G-Clb vs R-Clb 0.58 0.46-0.73 <.001 
MRD in PB     
 Positive/progressive disease/death vs undetectable 3.94 2.75-5.64 <.001 
White blood cell count     
 ≥50 vs <50 1.33 1.05-1.69 .020 
Serum thymidine kinase (U/L)     
 >10 vs ≤10 1.35 1.09-1.68 .007 
Deletion in 17p and/or TP53 mutation     
 Yes vs no 2.70 1.91-3.82 <.001 
Deletion in 11q     
 Yes vs no 1.87 1.43-2.44 <.001 
IGHV mutational status     
 Unmutated vs mutated 1.97 1.52-2.55 <.001 

Other variables significantly associated with PFS in univariable analyses (significance level set at 5%) and considered as candidates for the multivariable modeling but not included in the final model are Binet stage and serum β2-microglobulin (mg/L).

IGHV, immunoglobulin heavy chain variable.

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