Association between Serum Bilirubin and Estimated Glomerular Filtration Rate among Diabetic Patients
Table 2
Relationship between various risk factors including serum bilirubin and estimated glomerular filtration rate.
Pearson’s
Multiple linear regression analysis
Characteristic ()
correlation
Forced method
Stepwise method
( value)
( value)
( value)
Gender (male = 0, female = 1)
−0.08 (0.059)
−0.11 (0.006)
−0.07 (0.032)
Age
−0.35 (<0.001)
−0.29 (<0.001)
−0.27 (<0.001)
Body mass index
−0.02 (0.645)
−0.03 (0.397)
—
Smoking status
0.02 (0.738)
−0.06 (0.129)
—
Systolic blood pressure
0.05 (0.260)
—
—
Diastolic blood pressure
0.21 (<0.001)
0.05 (0.174)
—
antihypertensive medication
−0.18 (<0.001)
−0.08 (0.026)
−0.09 (0.004)
Triglycerides
−0.17 (<0.001)
−0.06 (0.152)
—
HDL cholesterol
0.14 (0.002)
0.06 (0.077)
0.09 (0.008)
LDL cholesterol
0.11 (0.017)
0.07 (0.057)
—
Antidyslipidemic medication
0.00 (0.974)
−0.02 (0.573)
—
Fasting blood glucose
0.03 (0.501)
0.01 (0.736)
—
Antidiabetic medication
0.00 (0.983)
−0.04 (0.233)
—
Serum uric acid
−0.59 (<0.001)
−0.53 (<0.001)
−0.56 (<0.001)
Serum bilirubin
0.22 (<0.001)
0.12 (<0.001)
0.13 (<0.001)
—
0.50 (<0.001)
0.49 (<0.001)
: Pearson’s correlation coefficient; : standardized coefficient; : multiple coefficient of determination. Data for triglycerides, fasting plasma glucose, and serum bilirubin were skewed and log-transformed for analysis.
