Table 1.
General characteristics of 1805 patients studied with ABPM, echocardiography, and eGFR.
Table 2.
Prevalence of CKD stages.
Figure 1.
ABPM values in CKD patients vs. the rest of the population.
Panel A. Difference in 24-h BP between patients with CKD and the rest of the population. Panel B. Difference in daytime BP between patients with CKD and the rest of the population. Panel C. Difference in night-time BP between patients with CKD and the rest of the population.
Figure 2.
Difference in PP between patients with CKD and the rest of the population.
Figure 3.
Correlation between ABPM values and CKD stages.
Panel A. Difference in night-time BP between CKD stages. Panel B. Difference in 24 h PP between CKD stages. Panel C. Difference in daytime PP between CKD stages. Panel D. Difference in night-time PP between CKD stages.
Table 3.
Correlation between ABPM parameters and eGFR assessed by linear regression.
Figure 4.
Prevalence of non dipping pattern in CKD.
Table 4.
CKD is an indipendent risk factor for non dipping pattern after adjusting for sex, age, BMI, and TIS (logistic regression).
Figure 5.
Panel A. Difference in left ventricular mass/h2.7 between patients with CKD and the rest of the population. Panel B. Prevalence of ventricular hypertrophy in patients with CKD vs the rest of the population.
Table 5.
Night-time SBP associated with LVM/h2.7 in a linear regression model.
Table 6.
24-h PP associated with LVM/h2.7 in a linear regression model.
Table 7.
Daytime PP associated with LVM/h2.7 in a linear regression model.
Table 8.
Night-time PP associated with LVM/h2.7 in a linear regression model.