Table 3.

Univariate analysis of factors affecting CD34 mobilization yields

CovariateF valueP value
Weight of donor 1.50 .23 
Age of donor (younger) 6.02 .020 
Sex of donor (male) 4.07 .052 
Baseline CD34 (high) 14.94 .0005 
Statin use by donor 3.01 .093 
% pDC in product 14.24 .0007 
CXCL12 at baseline 1.15 .29 
Change CXCL12 baseline to 30 min t = 3.05 .0048 
CXCL12 SNP genotype 1.37 .27 
Diabetes in donor 0.87 .36 
Hypertension in donor 0.02 .89 
Baseline platelets 5.85 .022 
Baseline WBC 0.05 .83 
Tobacco use by donor 0.18 .84 
Cmax of plerixafor 3.19 .084 
AUC of plerixafor 3.70 .064 
CovariateF valueP value
Weight of donor 1.50 .23 
Age of donor (younger) 6.02 .020 
Sex of donor (male) 4.07 .052 
Baseline CD34 (high) 14.94 .0005 
Statin use by donor 3.01 .093 
% pDC in product 14.24 .0007 
CXCL12 at baseline 1.15 .29 
Change CXCL12 baseline to 30 min t = 3.05 .0048 
CXCL12 SNP genotype 1.37 .27 
Diabetes in donor 0.87 .36 
Hypertension in donor 0.02 .89 
Baseline platelets 5.85 .022 
Baseline WBC 0.05 .83 
Tobacco use by donor 0.18 .84 
Cmax of plerixafor 3.19 .084 
AUC of plerixafor 3.70 .064 

A repeated measures regression model of CD34/L undergoing apheresis day 1 transformed to log10 by demographic and clinical variables was performed. Cellular mobilization over time was analyzed by mixed models (transformation shown in parentheses) specifying patient as a random effect and modeling the outcome of CD34/L day 1 on a log10 scale.

SNP, single-nucleotide polymorphism; WBC, white blood cell.

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