Peripheral Arterial Stiffness Is Independently Associated with a Rapid Decline in Estimated Glomerular Filtration Rate in Patients with Type 2 Diabetes
Table 4
Odds ratios (95% confidence intervals) for a rapid decline in eGFR based on different peripheral arterial functional markers after adjustment for potential confounders.
(a) Multivariate logistic regression models were built by adding ba-PWV, PP, SBP, and TBI separately after adjusting for potential confounders, including gender, age, body mass index, smoking, HbA1c, and baseline eGFR
Model 1
Model 2
Model 3
Model 4
OR
95% CI
OR
95% CI
OR
95% CI
OR
95% CI
Age
0.999
0.972
1.026
0.923
1.010
0.987
1.033
0.402
1.004
0.980
1.028
0.763
1.013
0.990
1.036
0.282
Sex
1.050
0.671
1.642
0.832
1.094
0.696
1.718
0.697
1.223
0.768
1.948
0.397
1.036
0.664
1.616
0.876
BMI
0.969
0.909
1.033
0.331
0.955
0.895
1.019
0.165
0.957
0.897
1.020
0.178
0.969
0.909
1.033
0.341
Smoking
0.992
0.529
1.861
0.980
0.995
0.530
1.867
0.987
1.000
0.531
1.883
1.000
0.999
0.534
1.868
0.998
HbA1c
1.133
1.022
1.256
0.017
1.150
1.039
1.273
0.007
1.150
1.038
1.273
0.007
1.149
1.039
1.271
0.007
eGFR
1.002
0.994
1.010
0.617
1.002
0.994
1.010
0.564
1.002
0.994
1.010
0.644
1.002
0.994
1.011
0.562
ba-PWV
1.072
1.011
1.136
0.020
SBP
1.014
1.004
1.025
0.009
PP
1.025
1.008
1.041
0.003
TBI
0.338
0.062
1.846
0.210
(b) Multivariate logistic regression models that were adjusted for the confounders as in, Table 4(a) and furthermore, we also adjusted the potential influence of sulfonylurea use (independent-sample -test ), and the table shows that markers of arterial stiffness remained independent risk factors for a rapid decline in eGFR, whereas the effects of HbA1C on rapid renal function progression became nonsignificant
