Microsimulation modelling to predict the burden of CKD and the cost-effectiveness of timely CKD screening in Belgium: results from the Inside CKD study. - 2025
Microsimulation modelling to predict the burden of CKD and the cost-effectiveness of timely CKD screening in Belgium: results from the Inside CKD study.
Adult nephrology; Chronic renal failure; Health Care Costs; NEPHROLOGY; PUBLIC HEALTH; Humans; Belgium/epidemiology; Cost-Benefit Analysis; Middle Aged; Aged; Female; Male; Glomerular Filtration Rate; Prevalence; Albuminuria; Quality-Adjusted Life Years; Computer Simulation; Renal Insufficiency, Chronic/epidemiology; Renal Insufficiency, Chronic/diagnosis; Renal Insufficiency, Chronic/economics; Mass Screening/economics; Mass Screening/methods; Cost of Illness; Belgium; Mass Screening; Renal Insufficiency, Chronic; Medicine (all)
Abstract :
[en] [en] OBJECTIVES: Inside CKD aims to assess the burden of chronic kidney disease (CKD) and the cost-effectiveness of screening programmes in Belgium.
DESIGN: Microsimulation-based modelling.
SETTING: Data derived from national statistics and key literature from Belgium.
PARTICIPANTS: Virtual populations of ≥10 million individuals, representative of Belgian populations of interest, were generated based on published data and cycled through the Inside CKD model. Baseline input data included age, estimated glomerular filtration rate (eGFR), urine albumin-creatinine ratio (UACR) and CKD status.
PRIMARY OUTCOME MEASURES: Outcomes included the clinical and economic burden of CKD during 2022-2027 and the cost-effectiveness of two different CKD screening programmes (one UACR measurement and two eGFR measurements or only two eGFR measurements, followed by renin-angiotensin-aldosterone system inhibitor treatment in newly diagnosed eligible patients). The economic burden estimation included patients diagnosed with CKD stages 3-5; the screening cost-effectiveness estimation included patients aged ≥45 years with no CKD diagnosis and high-risk subgroups (with cardiovascular disease, hypertension, type 2 diabetes or aged ≥65 years).
RESULTS: Between 2022 and 2027, CKD prevalence is estimated to remain stable and substantial at approximately 1.66 million, with 69.9% undiagnosed. The total healthcare cost of patients diagnosed with CKD is expected to remain stable at approximately €2.15 billion per year. The one UACR, two eGFR measurement screening programme was cost-effective in all populations, with an incremental cost-effectiveness ratio of €3623 per quality-adjusted life year (QALY) gained in those aged ≥45 years, well below the estimated willingness-to-pay threshold of €43 839 per QALY gained.
CONCLUSIONS: Without changes to current practice, the disease burden of CKD in Belgium is predicted to remain substantial over the next few years. This highlights the need for timely diagnosis of CKD and demonstrates that, in line with guideline recommendations, implementing a CKD screening programme involving UACR and eGFR measurements followed by treatment would be cost-effective.
Garcia Sanchez, Juan Jose; AstraZeneca, Barcelona, Spain
Language :
English
Title :
Microsimulation modelling to predict the burden of CKD and the cost-effectiveness of timely CKD screening in Belgium: results from the Inside CKD study.
This work was funded by AstraZeneca. AstraZeneca contributed to the design of the Inside CKD study and to the collection of input data. The analysis was conducted independently by HealthLumen, which was funded by AstraZeneca. All authors contributed to the interpretation of the results. The decision to submit the manuscript was made solely by the authors. Modelling and statistical analyses were conducted by HealthLumen and funded by AstraZeneca. Medical writing support was provided by Nathalie Reichmann of Oxford PharmaGenesis, Oxford, UK, and was funded by AstraZeneca.
Sundström J, Bodegard J, Bollmann A, et al. Prevalence, outcomes, and cost of chronic kidney disease in a contemporary population of 2·4 million patients from 11 countries: The CaReMe CKD study. Lancet Reg Health Eur 2022;20. doi:10.1016/j.lanepe.2022.100438
Fraser SD, Blakeman T. Chronic kidney disease: identification and management in primary care. Pragmat Obs Res 2016;7:21–32. doi:10.2147/POR.S97310
Persson F, Rossing P. Diagnosis of diabetic kidney disease: state of the art and future perspective. Kidney Int Suppl (2011) 2018;8:2–7. doi:10.1016/j.kisu.2017.10.003
Jha V, Al-Ghamdi SMG, Li G, et al. Global Economic Burden Associated with Chronic Kidney Disease: A Pragmatic Review of Medical Costs for the Inside CKD Research Programme. Adv Ther 2023;40:4405–20. doi:10.1007/s12325-023-02608-9
Mullins CD, Pantalone KM, Betts KA, et al. CKD Progression and Economic Burden in Individuals With CKD Associated With Type 2 Diabetes. Kidney Med 2022;4. doi:10.1016/j.xkme.2022.100532
Kidney Disease: Improving Global Outcomes (KDIGO) CKD work group. KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney Int Suppl 2013;3:1–150. doi:10.1038/kisup.2012.73
Kidney Disease: Improving Global Outcomes (KDIGO) CKD work group. KDIGO 2024 clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney Int Suppl 2024;105:S117–314. doi:10.1016/j.kint.2023.10.018
Chadban S, Arıcı M, Power A, et al. Projecting the economic burden of chronic kidney disease at the patient level (Inside CKD): a microsimulation modelling study. EClinicalMedicine 2024;72. doi:10.1016/j.eclinm.2024.102615
Cleemput I, Beguin C, Kethulle Y, et al. Belgian healthcare knowledge centre (kce). report 124c: organisation and financing of chronic dialysis in belgium. 2010. Available: https://kce.fgov.be/sites/default/files/2021-11/d20101027313.pdf [Accessed 17 Dec 2024].
Meeus P, Dalcq V, Swine B, et al. Chronic dialysis - analysis of the distribution of medical practice in belgium, in terms of volume and expenditure per patient and per insured (distribution, occurrence, trends by region, province and district), for the year 2023. 2024. Available: https://www.healthybelgium.be/en/medical-practice-variations/urinary-system/chronic-dialysis#key-figures [Accessed 17 Dec 2024].
Kazancioğlu R. Risk factors for chronic kidney disease: an update. Kidney Int Suppl (2011) 2013;3:368–71. doi:10.1038/kisup.2013.79
Edmonston D, Lydon E, Mulder H, et al. Concordance With Screening and Treatment Guidelines for Chronic Kidney Disease in Type 2 Diabetes. JAMA Netw Open 2024;7. doi:10.1001/jamanetworkopen.2024.18808
Shin J-I, Chang AR, Grams ME, et al. Albuminuria Testing in Hypertension and Diabetes: An Individual-Participant Data Meta-Analysis in a Global Consortium. Hypertension 2021;78:1042–52. doi:10.1161/HYPERTENSIONAHA.121.17323
Chu CD, Xia F, Du Y, et al. Estimated Prevalence and Testing for Albuminuria in US Adults at Risk for Chronic Kidney Disease. JAMA Netw Open 2023;6. doi:10.1001/jamanetworkopen.2023.26230
Tangri N, Chadban S, Cabrera C, et al. Projecting the Epidemiological and Economic Impact of Chronic Kidney Disease Using Patient-Level Microsimulation Modelling: Rationale and Methods of Inside CKD. Adv Ther 2023;40:265–81. doi:10.1007/s12325-022-02353-5
Chertow GM, Correa-Rotter R, Eckardt K-U, et al. Projecting the clinical burden of chronic kidney disease at the patient level (Inside CKD): a microsimulation modelling study. EClinicalMedicine 2024;72. doi:10.1016/j.eclinm.2024.102614
Cusick MM, Tisdale RL, Chertow GM, et al. When to Start Population-Wide Screening for Chronic Kidney Disease: A Cost-Effectiveness Analysis. JAMA Health Forum 2024;5. doi:10.1001/jamahealthforum.2024.3892
United Nations. World population prospects 2019. 2019. Available: https://population.un.org/wpp2019/Download/Standard/Population/ [Accessed 10 Dec 2024].
Pecoits-Filho R, James G, Carrero JJ, et al. Methods and rationale of the DISCOVER CKD global observational study. Clin Kidney J 2021;14:1570–8. doi:10.1093/ckj/sfab046
Heerspink H, Nolan S, Carrero J-J, et al. Clinical Outcomes in Patients with CKD and Rapid or Non-rapid eGFR Decline: A Report from the DISCOVER CKD Retrospective Cohort. Adv Ther 2024;41:3264–77. doi:10.1007/s12325-024-02913-x
NHS digital. Health survey for England. 2016. Available: https://digital.nhs.uk/data-and-information/publications/statistical/health-survey-for-england/health-survey-for-england-2016 [Accessed 10 Dec 2024].
International Monetary Fund. World economic outlook report 2022. 2022. Available: https://www.imf.org/en/Publications/WEO/Issues/2022/10/11/world-economic-outlook-october-2022 [Accessed 27 Feb 2023].
Institut scientifique de santé publique. Contacts avec le médecin généraliste, belgique 2008. 2008. Available: https://www.wiv-isp.be/epidemio/epifr/CROSPFR/HISFR/his08fr/r3/3_contactsmedecingeneraliste_gp_report3_fr.pdf [Accessed 30 May 2022].
Begos D, Milojkovic B. MO382: Validation of a Handheld Point-Of-Care Creatinine/EGFR Meter for Evaluating Renal Function. Nephrol Dial Transplant 2022;37. doi:10.1093/ndt/gfac069.015
Inker LA, Heerspink HJL, Tighiouart H, et al. GFR Slope as a Surrogate End Point for Kidney Disease Progression in Clinical Trials: A Meta-Analysis of Treatment Effects of Randomized Controlled Trials. J Am Soc Nephrol 2019;30:1735–45. doi:10.1681/ASN.2019010007
Hutubessy R, Chisholm D, Edejer TT-T. Generalized cost-effectiveness analysis for national-level priority-setting in the health sector. Cost Eff Resour Alloc 2003;1:8. doi:10.1186/1478-7547-1-8
Van den Wyngaert I, Mamouris P, Vaes B, et al. An exploration of under-registration of chronic kidney disease stages 3-5 in Belgian general practices using logistic regression. PLoS ONE 2022;17. doi:10.1371/journal.pone.0279291
Darlington O, Dickerson C, Evans M, et al. Costs and Healthcare Resource Use Associated with Risk of Cardiovascular Morbidity in Patients with Chronic Kidney Disease: Evidence from a Systematic Literature Review. Adv Ther 2021;38:994–1010. doi:10.1007/s12325-020-01607-4
Devos C, Cordon A, Lefèvre M, et al. Report 313c: performance of the belgian health system - report 2019. 2019. Available: https://kce.fgov.be/sites/default/files/2021-12/KCE_313C_Performance_Belgian_health_system_Report.pdf [Accessed 10 Dec 2024].
Whaley-Connell A, Nistala R, Chaudhary K. The importance of early identification of chronic kidney disease. Mo Med 2011;108:25–8.
Torregrosa-Maicas I, Juan-García I, Solís-Salguero MÁ, et al. Advancing in the management of chronic kidney disease: the results of implementing a quick resolution consultation. Nefrologia 2013;33:93–8. doi:10.3265/Nefrologia.pre2012.Oct.11560
Pottelbergh G, Avonts M, Cloetens H, et al. Chronische nierinsufficiëntie. 2012. Available: https://www.domusmedica.be/sites/default/files/Richtlijn%20Chronische%20Nierinsuffici%C3%ABntie_0.pdf [Accessed 11 Dec 2024].
Shlipak MG, Tummalapalli SL, Boulware LE, et al. The case for early identification and intervention of chronic kidney disease: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference. Kidney Int 2021;99:34–47. doi:10.1016/j.kint.2020.10.012
Christofides EA, Desai N. Optimal Early Diagnosis and Monitoring of Diabetic Kidney Disease in Type 2 Diabetes Mellitus: Addressing the Barriers to Albuminuria Testing. J Prim Care Community Health 2021;12. doi:10.1177/21501327211003683
Writing Group for the CKD Prognosis Consortium, Grams ME, Coresh J, et al. Estimated Glomerular Filtration Rate, Albuminuria, and Adverse Outcomes: An Individual-Participant Data Meta-Analysis. JAMA 2023;330:1266–77. doi:10.1001/jama.2023.17002
World Health Organization. Screening programmes: a short guide increase effectiveness, maximize benefits and minimize harm. 2020. Available: https://www.who.int/europe/publications/i/item/9789289054782 [Accessed 10 Dec 2024].
Levin A, Okpechi IG, Caskey FJ, et al. Perspectives on early detection of chronic kidney disease: the facts, the questions, and a proposed framework for 2023 and beyond. Kidney Int 2023;103:1004–8. doi:10.1016/j.kint.2023.03.009
Cusick MM, Tisdale RL, Chertow GM, et al. Population-Wide Screening for Chronic Kidney Disease: A Cost-Effectiveness Analysis. Ann Intern Med 2023;176:788–97. doi:10.7326/M22-3228
Kairys P, Frese T, Voigt P, et al. Development of the simulation-based German albuminuria screening model (S-GASM) for estimating the cost-effectiveness of albuminuria screening in Germany. PLoS ONE 2022;17. doi:10.1371/journal.pone.0262227
Pouwels XGLV, van Mil D, Kieneker LM, et al. Cost-effectiveness of home-based screening of the general population for albuminuria to prevent progression of cardiovascular and kidney disease. EClinicalMedicine 2024;68. doi:10.1016/j.eclinm.2023.102414
Yeo SC, Wang H, Ang YG, et al. Cost-effectiveness of screening for chronic kidney disease in the general adult population: a systematic review. Clin Kidney J 2024;17. doi:10.1093/ckj/sfad137
van Mil D, Pouwels XGLV, Heerspink HJL, et al. Cost-effectiveness of screening for chronic kidney disease: existing evidence and knowledge gaps. Clin Kidney J 2024;17. doi:10.1093/ckj/sfad254
Dąbek B, Dybiec J, Frąk W, et al. Novel Therapeutic Approaches in the Management of Chronic Kidney Disease. Biomedicines 2023;11. doi:10.3390/biomedicines11102746
Kanda E, Rastogi A, Murohara T, et al. Clinical impact of suboptimal RAASi therapy following an episode of hyperkalemia. BMC Nephrol 2023;24:18. doi:10.1186/s12882-022-03054-5
McDonagh TA, Metra M, Adamo M, et al. Focused Update of the 2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure: Developed by the task force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC) With the special contribution of the Heart Failure Association (HFA) of the ESC. Eur Heart J 2023;44:3627–39. doi:10.1093/eurheartj/ehad195
Scheen A, Lancellotti P, Delanaye P, et al. SGLT2 inhibitors: on the borders of diabetology, cardiology, nephrology and… primary care. Rev Med Liege 2023;78:476–83.
Heerspink HJL, Jongs N, Chertow GM, et al. Effect of dapagliflozin on the rate of decline in kidney function in patients with chronic kidney disease with and without type 2 diabetes: a prespecified analysis from the DAPA-CKD trial. The Lancet Diabetes & Endocrinology 2021;9:743–54. doi:10.1016/S2213-8587(21)00242-4
EMPA-KIDNEY Collaborative Group. Effects of empagliflozin on progression of chronic kidney disease: a prespecified secondary analysis from the empa-kidney trial. Lancet Diabetes Endocrinol 2024;12:39–50. doi:10.1016/S2213-8587(23)00321-2
Heerspink HJL, Stefánsson BV, Correa-Rotter R, et al. Dapagliflozin in Patients with Chronic Kidney Disease. N Engl J Med 2020;383:1436–46. doi:10.1056/NEJMoa2024816
The EMPA-KIDNEY Collaborative Group, Herrington WG, Staplin N, et al. Empagliflozin in Patients with Chronic Kidney Disease. N Engl J Med 2023;388:117–27. doi:10.1056/NEJMoa2204233
McEwan P, Darlington O, Miller R, et al. Cost-Effectiveness of Dapagliflozin as a Treatment for Chronic Kidney Disease: A Health-Economic Analysis of DAPA-CKD. Clin J Am Soc Nephrol 2022;17:1730–41. doi:10.2215/CJN.03790322
McEwan P, Davis JA, Gabb PD, et al. Dapagliflozin in chronic kidney disease: cost-effectiveness beyond the DAPA-CKD trial. Clin Kidney J 2024;17. doi:10.1093/ckj/sfae025
Ramos M, Gerlier L, Uster A, et al. Cost-effectiveness of empagliflozin as add-on to standard of care for chronic kidney disease management in the United Kingdom. J Med Econ 2024;27:777–85. doi:10.1080/13696998.2024.2357041