ISSN: 2578-4676
Authors: Sulayman AA*
Haemodialysis process is essential for patients with end-stage renal disease (ESRD), serving as a life-saving treatment that substitutes the kidneys’ function in removing uremic toxins and maintain fluid balance in the bloodstream. Solute kinetic models provide quantitative framework to predict solute clearance, assess treatment parameters, and improve patient outcomes. This review offers insight into approaches in solute kinetic modelling in improving haemodialysis process and its alignment with Sustainable Development Goals (SDGs). The review highlights the essential variables that influence solute kinetic models towards achieving quality efficacy in dialysis treatment. These variables include dialyzer clearance, residual renal clearance, rate, and location of generation of the substance in question, compartment volumes, intercompartment transfer and distribution coefficient. Solutes (dissolved substances in the blood that need to be removed or regulated) were classified and approaches to the solutes kinetic modelling were explained. Solute kinetic models contribute to achieve SDG Goals, SDG 3 (Good Health and Well-being); SDG 9 (Industry, Innovation, and Infrastructure); SDG 10 (Reduced Inequalities), and SDG 12 (Responsible Consumption and Production), through improved dialysis. These can be achieved by ensuring effective renal replacement therapy, reducing mortality associated with kidney disease, promoting equitable accessible dialysis treatment, and minimizing environmental waste in dialysis procedures.
Keywords: Kinetic Models; Haemodialysis; Renal Replacement; Kidney Disease; SDGs
