Table 3

Proportional hazards general linear model analysis on NRM, OS, and EFS

NRMPOSPEFSP
No. of patients 266 total patients — 266 total patients/253 patients surviving at day 100 — 266 total patients/238 patients surviving free of events at day 100 — 
Covariates*       
    Disease stage 1.7 (1.2-2.4) < .002 1.6 (1.3-2.0) < .0001 1.7 (1.3-2.0) < .0001 
1.6 (1.2-2.0) < .0001 1.6 (1.2-2.0) < .0002 
    Acute GVHD 3.8 (1.6-9.3) < .003 2.1 (1.3-3.2) < .002 1.9 (1.2-2.9) < .003 
1.8 (1.1-2.8) < .01 2.0 (1.2-3.3) < .007 
    Chronic GVHD — NS 0.2 (0.1-0.4) < .0001 0.2 (0.1-0.4) < .0001 
0.3 (0.2-0.4) < .0001 0.3 (0.2-0.4) < .0001 
    HCMV pp65-antigenemia — NS 0.4 (0.3-0.7) < .0008 0.4 (0.2-0.6) < .0001 
0.5 (0.3-0.9) < .01 0.4 (0.2-0.7) < .0008 
NRMPOSPEFSP
No. of patients 266 total patients — 266 total patients/253 patients surviving at day 100 — 266 total patients/238 patients surviving free of events at day 100 — 
Covariates*       
    Disease stage 1.7 (1.2-2.4) < .002 1.6 (1.3-2.0) < .0001 1.7 (1.3-2.0) < .0001 
1.6 (1.2-2.0) < .0001 1.6 (1.2-2.0) < .0002 
    Acute GVHD 3.8 (1.6-9.3) < .003 2.1 (1.3-3.2) < .002 1.9 (1.2-2.9) < .003 
1.8 (1.1-2.8) < .01 2.0 (1.2-3.3) < .007 
    Chronic GVHD — NS 0.2 (0.1-0.4) < .0001 0.2 (0.1-0.4) < .0001 
0.3 (0.2-0.4) < .0001 0.3 (0.2-0.4) < .0001 
    HCMV pp65-antigenemia — NS 0.4 (0.3-0.7) < .0008 0.4 (0.2-0.6) < .0001 
0.5 (0.3-0.9) < .01 0.4 (0.2-0.7) < .0008 

— indicates not applicable; and NS, not significant (P ≥ .01).

*

Proportional hazards general linear models with forward and backward selection of covariates; time-dependent covariates: time intervals to grades II to IV acute GVHD, chronic GVHD, and HCMV pp65-antigenemia; and further covariates included in all PHGLM analyses: stratified patient age; patient/donor sex match; pretransplantation risk score; donor type; graft source; pretransplantation HCMV donor and recipient serology; and disease genetic group.

Hazard ratio (HR) and 95% CI after adjustment for all significant (P < .01) covariates in the final models.

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