IntroductionUrinary albumin-creatinine ratio (uACR) is an independent predictor of chronic kidney disease (CKD) progression, however there is limited evidence on the burden of CKD according to uACR categories at a population level. This study estimates future clinical and financial burden of CKD according to uACR categories using the Inside CKD microsimulation. MethodsThe Inside CKD model is an individual patient level microsimulation that emulates national populations based on demographic, epidemiological and economic data. The analysis estimates clinical and economic outcomes over time according to KDIGO uACR categories (A1–A3) at a population level for 31 countries and regions. ResultsCKD populations (diagnosed and undiagnosed individuals, stages G3-5) were projected to be predominantly within uACR categories A1 and A2 in 2022. Projected cumulative incidence of CKD stage transitions (disease progression) and cardio-renal complications (heart failure, myocardial infarction, stroke, and all-cause mortality) occurred mostly in uACR categories A1 and A2 between 2022–2027. Patients in uACR categories A1 and A2, who represent the largest proportion of patients with CKD, were projected to incur most of the healthcare costs associated with CKD management and cardio-renal complications for the diagnosed population (prevalence 2027). ConclusionThis study highlights the disproportionate population-level clinical and economic burden associated with individuals within KDIGO uACR categories A1 and A2, who represent most of the CKD population. This awareness will help healthcare decision makers to appropriately allocate resource and interventions to the CKD population, including those with mildly to moderately increased albuminuria, to reduce clinical and economic burden associated with CKD.