Table 3.

Multivariate linear regression on the association between 24 h ambulatory blood pressure monitoring parameters and eGFR

Variables	B	SE	t-value	P-value
Elderly group (60–80 years of age)
Uric acid	−0.06840	0.01490	21.08	<0.0001
Twenty-four-hour SBP variability	−1.96854	0.29820	43.58	<0.0001
Very elderly group (over 80 years of age)
Age (years)	−1.00056	0.25124	15.86	<0.0001
BMI	−0.53619	0.26263	4.17	0.0423
Uric acid (mmol/L)	−0.08940	0.01190	56.43	<0.0001
Twenty-four-hour SBP variability	−1.97447	0.45454	18.87	<0.0001

Notes: Stepwise regression analysis was used to study whether there was an independent relationship between eGFR and a range of parameters. Data are shown after adjustment for age, the presence of diabetes, the presence of CAD, BMI, serum lipid, plasma glucose, and uric acid. β, regression coefficient; P>0.05 with statistical significance.

Abbreviations: BMI, body mass index; eGFR, estimated glomerular filtration rate; SBP, systolic blood pressure; SE, standard error.