PMC9616410_01
Global reach of the Inside CKD project. CKD chronic kidney disease
12325_2022_2353_Fig1_HTML.jpg
PMC9616410_01_12325_2022_2353_Fig1_HTML.jpg
Fig1
Inside CKD used a population-based approach, which included hypothetical 0-110-year-old individuals from participating countries and regions (Fig. 1).
Overview of microsimulation modules. CKD chronic kidney disease, CV cardiovascular, eGFR estimated glomerular filtration rate, ESRD end-stage renal disease, HF heart failure, HTN hypertension, MI myocardial infarction, RRT renal replacement therapy, SGLT2i sodium-glucose cotransporter 2 inhibitor, T2D type 2 diabetes
12325_2022_2353_Fig2_HTML.jpg
PMC9616410_01_12325_2022_2353_Fig2_HTML.jpg
Fig2
The microsimulation was composed of five input modules, corresponding to population, the CKD cohort, disease burden, health economics and interventions (Fig. 2).
Illustrative RRT pathway: people can cycle between different RRT modalities on the basis of eGFR, age and country-specific RRT pathway statistics. Country-specific statistics dictate the probability of transitioning between stages; this diagram is therefore illustrative as each country has its own RRT model. eGFR estimated glomerular filtration rate, RRT renal replacement therapy
12325_2022_2353_Fig3_HTML.jpg
PMC9616410_01_12325_2022_2353_Fig3_HTML.jpg
Fig3
From this point, the virtual individual was assigned to one of three main treatment pathways: to stay on their existing treatment pathway, to receive dialysis (haemodialysis or peritoneal dialysis), or to receive a renal transplant (Fig. 3).