Open AccessDevelopment of an Artificial Intelligence Model to Guide the Management of Blood Pressure, Fluid Volume, and Dialysis Dose in End-Stage Kidney Disease Patients: Proof of Concept and First Clinical Assessment
Author(s) -
C. Barbieri,
Isabella Cattinelli,
Luca Neri,
Flavio Mari,
Rosa Ramos,
Diego Brancaccio,
Bernard Canaud,
Stefano Stuard
Publication year - 2018
Publication title -
kidney diseases
Language(s) - English
Resource type - Journals
eISSN - 2296-9381
pISSN - 2296-9357
DOI - 10.1159/000493479
Subject(s) - dialysis , medicine , intensive care medicine , volume overload , hemodialysis , hemodynamics , blood pressure , medical prescription , kidney disease , end stage renal disease , intravascular volume status , cardiology , adverse effect , heart failure , pharmacology
Fluid volume and blood pressure (BP) management are crucial endpoints for end-stage kidney disease patients. BP control in clinical practice mainly relies on reducing extracellular fluid volume overload by diminishing targeted postdialysis weight. This approach exposes dialysis patients to intradialytic hypotensive episodes.