Sickle Cell Anemia Patients in Use of Hydroxyurea: Association between Polymorphisms in Genes Encoding Metabolizing Drug Enzymes and Laboratory Parameters
Table 5
Multivariate linear regression models of genetic polymorphisms and confounding variables on laboratory parameters in SCA-HU+ and SCA-HU− patients.
(a)
SCA-HU+ patients
Independent variables
Dependent variable
β
value
R2
value of the model
Model
MPO
Total cholesterol
−0.391
0.001
0.744
<0.001a
MCH
−0274
0.011
LDL-C
0.667
<0.001
Iron serum
0.266
0.013
Lactate dehydrogenase
−0.272
0.019
Model
CYP2E1
Alpha-1 antitrypsin
−0.350
0.017
0.596
<0.001a
Uric acid
−0.563
0.001
Urea
0.270
0.047
Creatinine
0.386
0.014
Iron serum
−0398
0.005
Direct bilirubin
0.440
0.007
Model
GSTT1
Total bilirubin
0.464
0.004
0.283
0.005a
Creatinine
−0.337
0.033
Model
GSTT1
Indirect bilirubin
0.433
0.009
0.233
0.014a
Creatinine
−0.286
0.077
(b)
SCA-HU− patients
Independent variables
Dependent variable
β
value
R2
value of model
Model
MPO
Uric acid
0.379
0.001
0.244
<0.001a
Total cholesterol
0.293
0.010
Model
CYP2E1
Urea
0.389
0.001
0.175
0.007a
Globulin
−0.187
0.124
Uric acid
0.110
0.363
LDL-C: low-density lipoprotein cholesterol; MCH: mean corpuscular hemoglobin; MPO: myeloperoxidase; CYP2E1: cytochrome P450 2E1; GSTT1: glutathione S-transferase; SCA-HU+: SCA patient treated with HU; SCA-HU−: SCA patient untreated with HU; R2: coefficient of determination; β: coefficient of regression; aANOVA; dominant genetic model.