ArticleKidney international reports2024
Projecting the Population Level Burden of CKD Progression According to Urine Albumin-to-Creatinine Ratio Categories.
Article in Kidney international reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- ESKD, Major Cardiovascular Events, and Death Associated With Systemic Inflammation.Kidney international reports · 2026Article
- Chronic kidney disease screening to reduce cardiovascular risk: a call to action.American journal of preventive cardiology · 2026Article
- Chronic kidney Disease overall survival prediction model based on frailty index score: construction and validation using NHANES data.Renal failure · 2025Article
- "Kidney international reports · 2025Article
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Authors and funding
12 authors.
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Abstract
Introduction: Urinary albumin-to-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 the population level. This study estimates future clinical and financial burden of CKD according to uACR categories using the Inside CKD microsimulation. Methods: The 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 the Kidney Disease: Improving Global Outcomes (KDIGO) uACR categories (A1-A3) at a population level for 31 countries and regions. Results: CKD populations (diagnosed and undiagnosed individuals, stages G3-G5) 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 and 2027. Patients in uACR categories A1 and A2, who represent the largest proportion of patients with CKD, were projected to incur most of the health care costs associated with CKD management and cardio-renal complications for the diagnosed population (prevalence 2027). Conclusion: This 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 health care decision makers to appropriately allocate resources and interventions to the CKD population, including those with mild to moderately increased albuminuria, to reduce clinical and economic burden associated with CKD.
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