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. 2021 May 3;43(1):796–802. doi: 10.1080/0886022X.2021.1921797

Table 3.

Correlation between cfPWV and clinical variables among the CKD patients.

Variables Carotid-femoral pulse wave velocity (m/s)
Simple regression
Multivariable regression
r p Beta Adjusted R2 change p
Female −0.123 0.127
Diabetes mellitus 0.236 0.003* 0.177 0.026 0.011*
Hypertension −0.041 0.611
Glomerulonephritis −0.093 0.250
Smoking −0.031 0.702      
Age (years) 0.365 <0.001* 0.267 0.052 <0.001*
Body mass index (kg/m2) 0.103 0.201
SBP (mmHg) 0.365 <0.001* 0.283 0.094 <0.001*
DBP (mmHg) 0.139 0.086
TCH (mg/dL) −0.087 0.283
Log-Triglyceride (mg/dL) 0.018 0.821
LDL-C (mg/dL) −0.106 0.190
Log-Glucose (mg/dL) 0.119 0.140
Log-BUN (mg/dL) 0.203 0.011*
Log-Creatinine (mg/dL) 0.245 0.002*
eGFR (mL/min) −0.284 <0.001*
Total calcium (mg/dL) 0.025 0.754
Phosphorus (mg/dL) 0.002 0.977
Log-Indoxyl sulfate (μg/mL) 0.373 <0.001* 0.217 0.133 0.003*

Data of triglyceride, glucose, BUN, creatinine, and indoxyl sulfate levels showed skewed distribution and therefore were log-transformed before analysis.

Analysis of data was done by univariate or multivariate stepwise linear regression analysis (adapted factors were diabetes mellitus, age, SBP, eGFR, and log-indoxyl sulfate).

SBP: systolic blood pressure; DBP: diastolic blood pressure; TCH: total cholesterol; BUN: blood urea nitrogen; eGFR: estimated glomerular filtration rate.

*p < 0.05 was considered statistically significant.