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. 2020 May 13;9(1):206–211. doi: 10.1080/21623945.2020.1764799

Table 3.

Correlation between carotid-femoral pulse wave velocity levels and clinical variables among the 205 chronic kidney disease patients

  Log-cfPWV (m/s)
  Univariate
  Multivariate
Variables r P value   Beta Adjusted R2 change P value
Female −0.123 0.080  
Diabetes mellitus 0.203 0.003*   0.157 0.021 0.008*
Hypertension 0.058 0.411  
Glomerulonephritis −0.107 0.127  
Age (years) 0.353 < 0.001*   0.308 0.098 < 0.001*
Height (cm) 0.035 0.618  
Body weight (kg) 0.106 0.130  
Body mass index (kg/m2) 0.105 0.135  
Waist circumference (cm) 0.249 < 0.001*  
Body fat mass (%) 0.081 0.249  
SBP (mmHg) 0.392 < 0.001*   0.352 0.150 < 0.001*
DBP (mmHg) 0.156 0.026*  
TCH (mmol/l) −0.041 0.560  
Log-Triglyceride (mmol/l) 0.084 0.233  
LDL-C (mmol/l) −0.085 0.223  
Log-Glucose (mmol/l) 0.112 0.111  
Log-BUN (mmol/l) 0.086 0.222  
Log-Creatinine (µmol/l) 0.106 0.129  
eGFR (ml/min) −0.184 0.008*  
Log-Calcium (mmol/l) 0.069 0.322  
Phosphorus (mmol/l) −0.052 0.459  
Log-Leptin (ng/ml) 0.237 0.001*   0.192 0.042 0.001*

Data of carotid–femoral pulse wave velocity, triglyceride, glucose, BUN, creatinine, calcium, and leptin levels showed skewed distribution and therefore were log-transformed before analysis.

Analysis of data was done using the univariate linear regression analyses or multivariate stepwise linear regression analysis (adapted factors were diabetes mellitus, age, waist circumference, SBP, DBP, eGFR, and log-leptin).

cfPWV, carotid–femoral pulse wave velocity; SBP, systolic blood pressure; DBP, diastolic blood pressure; TCH, total cholesterol; LDL-C, low-density lipoprotein cholesterol; BUN, blood urea nitrogen; eGFR, estimated glomerular filtration rate.

*P < 0.05 was considered statistically significant.