Disease Markers

Research Article

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	<0.001^a
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	<0.001^a
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	0.005^a
Creatinine		−0.337	0.033

Model
GSTT1	Indirect bilirubin	0.433	0.009	0.233	0.014^a
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	<0.001^a
Total cholesterol		0.293	0.010

Model
CYP2E1	Urea	0.389	0.001	0.175	0.007^a
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.