Table 2.

Univariate and multivariate analysis for OS and PFS

Univariate analysisPFS
HR 
95% CIP valueOS
HR 
95% CIP value
ECOG PS ≥2 1.786 1.011-3.155 .046 2.397 1.353-4.248 .003 
KPS ≥70  0.803 0.402-1.603 .534 0.438 0.233-0.824 .010 
Induction regimen, MR 1.819 0.940-3.520 .076 2.384 1.259-4.514 .008 
Age >70 y 1.903 1.082-3.345 .025 1.731 0.978-3.063 .060 
Sex, female 0.780 0.444-1.373 .389 0.910 0.516-1.603 .743 
Postinduction therapy, auto-SCT 0.835 0.394-1.774 .640 1.031 0.415-2.560 .948 
Multivariate analysis PFS
HR  
95% CI P value OS
HR  
95% CI P value 
ECOG PS ≥2 1.458 0.672-3.161 .340 1.907 1.014-3.588 .045 
Induction regimen, MR 2.411 0.574-10.122 .229 2.118 1.047-4.286 .037 
Age >70 y 1.323 0.392-4.464 .651 0.886 0.193-4.054 .876 
Postinduction therapy, auto-SCT 0.884 0.250-3.126 .848 0.914 0.205-4.070 .906 
Univariate analysisPFS
HR 
95% CIP valueOS
HR 
95% CIP value
ECOG PS ≥2 1.786 1.011-3.155 .046 2.397 1.353-4.248 .003 
KPS ≥70  0.803 0.402-1.603 .534 0.438 0.233-0.824 .010 
Induction regimen, MR 1.819 0.940-3.520 .076 2.384 1.259-4.514 .008 
Age >70 y 1.903 1.082-3.345 .025 1.731 0.978-3.063 .060 
Sex, female 0.780 0.444-1.373 .389 0.910 0.516-1.603 .743 
Postinduction therapy, auto-SCT 0.835 0.394-1.774 .640 1.031 0.415-2.560 .948 
Multivariate analysis PFS
HR  
95% CI P value OS
HR  
95% CI P value 
ECOG PS ≥2 1.458 0.672-3.161 .340 1.907 1.014-3.588 .045 
Induction regimen, MR 2.411 0.574-10.122 .229 2.118 1.047-4.286 .037 
Age >70 y 1.323 0.392-4.464 .651 0.886 0.193-4.054 .876 
Postinduction therapy, auto-SCT 0.884 0.250-3.126 .848 0.914 0.205-4.070 .906 

HR >1 indicates a variable associated with poor prognosis.

Missing value n = 18, removed from multivariate analysis.

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