Descriptive analysis of the sample: Socio-behavioural model.

<p>Socio-demographic characteristics of the total sample and of the subgroups with and without at least one potentially preventable visit to the ED in the previous year.</p

Prevalence of non dipping pattern in CKD.

<p>Prevalence of non dipping pattern in CKD.</p

Descriptive analysis of the sample: Health care resources use.

<p>Health care resources use of the total sample and of subgroups with and without at least a potentially preventable visit in ED in the previous year.</p

Daytime PP associated with LVM/h^2.7 in a linear regression model.

<p>BMI and age were also two other important independent factors for LVM/h^2.7.</p>*<p>TIS = Treatment Intensity Score.</p

CKD and cardiac damage.

<p>Panel A. Difference in left ventricular mass/h^2.7 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.</p

Night-time SBP associated with LVM/h^2.7 in a linear regression model.

<p>BMI and age were also two other important independent factors for LVM/h^2.7.</p>*<p>TIS = Treatment Intensity Score.</p

Difference in PP between patients with CKD and the rest of the population.

<p>Difference in PP between patients with CKD and the rest of the population.</p

Correlation between ABPM values and CKD stages.

<p>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.</p

General characteristics of 1805 patients studied with ABPM, echocardiography, and eGFR.

<p>General characteristics of 1805 patients studied with ABPM, echocardiography, and eGFR.</p

Correlation between ABPM parameters and eGFR assessed by linear regression.

<p>Correlation between ABPM parameters and eGFR assessed by linear regression.</p