ASSOCIATION BETWEEN STATE OF HYDRATION AND CARDIOVASCULAR VARIABLES IN PATIENTS IN PERITONEAL DIALYSIS

• Grant number: 18/04660-9
• Support Opportunities: Regular Research Grants
• Duration: August 01, 2018 - October 31, 2020
• Field of knowledge: Health Sciences - Nutrition
• Principal Investigator: Pasqual Barretti
• Grantee: Pasqual Barretti
• Host Institution: Faculdade de Medicina (FMB). Universidade Estadual Paulista (UNESP). Campus de Botucatu. Botucatu , SP, Brazil
• Associated researchers: Luis Cuadrado Martin ; Silméia Garcia Zanati Bazan
• Associated scholarship(s): 20/04190-2 - ASSOCIATION BETWEEN STATE OF HYDRATION AND CARDIOVASCULAR VARIABLES IN PATIENTS IN PERITONEAL DIALYSIS, BP.TT; 20/04194-8 - ASSOCIATION BETWEEN STATE OF HYDRATION AND CARDIOVASCULAR VARIABLES IN PATIENTS IN PERITONEAL DIALYSIS, BP.TT

Abstract

Cardiovascular disease (CVD) is the most common cause of death in patients undergoing renal replacement therapy, especially in peritoneal dialysis (PD). Studies show that excess volume alone, even with absent hypertension, can lead to CVD in this population. However, the evaluation of total body water and its distribution among the body compartments constitute one of the main challenges in the treatment of patients on dialysis. The objective of the project will be to evaluate the association between hydration parameters obtained by bioimpedance (BIA) and cardiovascular variables, in order to contribute to the determination of the cutoff point of these parameters in patients with PD. A cross-sectional, prospective study will be performed in patients with CKD in the treatment of PD in the HCFMB Dialysis Unit. Demographic, clinical and dialytic data will be obtained from medical records and records at the time of BIA evaluation. Blood pressure will be assessed by 24-hour ambulatory blood pressure monitoring. The following parameters will be evaluated: electrocardiography, arterial stiffness and echocardiographic parameters. Data will be expressed as mean ± standard deviation, median or percentage, where appropriate. In order to evaluate the correlation force between the hydration measurements and cardiac parameters, the Pearson correlation coefficient will be used. Dependent variables that associate with the outcome variables at p <0.1 will make up the multiple linear regression analysis. The criterion of statistical significance for all analyzes will correspond to a value of p <0.05. (AU)