Skip to main content
. 2018 Jan 16;8:821. doi: 10.1038/s41598-018-19334-w

Table 3.

Risk of rapid decline of eGFR according to the status of baPWV and hfPWV in subset with both baPWV and hfPWV data.

Total (n = 1182) Univariate Multivariate
OR (95% CI) P Adjusted OR (95% CI) P
baPWV (m/s) 1.061 (1.022–1.101) 0.002 1.084 (1.030–1.141) 0.002
hfPWV (m/s) 1.062 (1.014–1.112) 0.010 1.029 (0.961–1.103) 0.408
High-baPWV (yes vs. no) 1.770 (1.305–2.401) <0.001 1.872 (1.269–2.761) 0.002
High-hfPWV (yes vs. no) 1.642 (1.220–2.210) 0.001 1.389 (0.936–2.061) 0.103
Combined groups (vs. low-ba/low-hf) 0.001 0.015
high-ba/low-hf 1.360 (0.853–2.168) 0.197 1.670 (0.968–2.880) 0.065
low-ba/high-hf 1.220 (0.790–1.883) 0.370 1.072 (0.626–1.835) 0.801
high-ba/high-hf 2.177 (1.493–3.175) <0.001 2.100 (1.280–3.447) 0.003

eGFR, estimated glomerular filtration rate; OR, odds ratio; CI, confidence interval; hfPWV, heart-femoral PWV; baPWV, brachial-ankle pulse wave velocity.

OR and its CI were calculated using logistic regression analysis. In multivariate analysis, covariates were age, sex and variables with P < 0.05 in univariate logistic regression analysis for the rapid decline of eGFR (diabetes, causes of chronic kidney diseases, pulse pressure, eGFR, logarithm of urine protein-to-creatinine ratio, albumin, cholesterol, hemoglobin, serum calcium level, and beta blocker use).