Cost-effectiveness of screening for chronic kidney disease in the general adult population: a systematic review

Introduction

Chronic kidney disease (CKD) is a significant public health problem, with rising incidence and prevalence worldwide, and is associated with increased morbidity and mortality. Early identification and treatment of CKD can slow its progression and prevent complications, but it is not clear whether CKD screening is cost-effective. The aim of this study is to conduct a systematic review of the cost-effectiveness of CKD screening strategies in general adult populations worldwide, and to identify factors, settings and drivers of cost-effectiveness in CKD screening.

Methods

Studies examining the cost-effectiveness of CKD screening in the general adult population were identified by systematic literature search on electronic databases (MEDLINE OVID, Embase, Cochrane Library and Web of Science) for peer-reviewed publications, hand-searched reference lists and grey literature of relevant sites, focusing on the following themes: (i) CKD, (ii) screening and (iii) cost-effectiveness. Studies comprising health economic evaluations performed for CKD screening strategies, compared with no CKD screening or usual-care strategy in adult individuals, were included. Study characteristics, model assumptions and CKD screening strategies of selected studies were identified. The primary outcome of interest is the incremental cost-effectiveness ratio (ICER) of CKD screening, in cost per quality-adjusted life year (QALY) and life-year gained (LYG), expressed in 2022 US dollars equivalent.

Results

Twenty-one studies were identified, examining CKD screening in general and targeted populations. The cost-effectiveness of screening for CKD was found to vary widely across different studies, with ICERs ranging from $113 to $430 595, with a median of $26 662 per QALY and from $6516 to $38 372, with a median of $29 112 per LYG. Based on the pre-defined cost-effectiveness threshold of $50 000 per QALY, the majority of the studies found CKD screening to be cost-effective. CKD screening was especially cost-effective in those with diabetes ($113 to $42 359, with a median of $27 471 per QALY) and ethnic groups identified to be higher risk of CKD development or progression ($23 902 per QALY in African American adults and $21 285 per QALY in Canadian indigenous adults), as indicated by a lower ICER. Additionally, the cost-effectiveness of CKD screening improved if it was performed in older adults, populations with higher CKD risk scores, or when setting a higher albuminuria detection threshold or increasing the interval between screening. In contrast, CKD screening was not cost-effective in populations without diabetes and hypertension (ICERs range from $117 769 to $1792 142, with a median of $202 761 per QALY). Treatment effectiveness, prevalence of CKD, cost of CKD treatment and discount rate were identified to be the most common influential drivers of the ICERs.

Conclusions

Screening for CKD is especially cost-effective in patients with diabetes and high-risk ethnic groups, but not in populations without diabetes and hypertension. Increasing the age of screening, screening interval or albuminuria detection threshold, or selection of population based on CKD risk scores, may increase cost-effectiveness of CKD screening, while treatment effectiveness, prevalence of CKD, cost of CKD treatment and discount rate were influential drivers of the cost-effectiveness.

Economic Evaluations of Screening Programs for Chronic Kidney Disease: A Systematic Review

OBJECTIVES

The aim of this review is to appraise and assimilate evidence from studies that have reported on the cost-effectiveness of screening programs for chronic kidney disease (CKD).

METHODS

The study protocol was registered on International Prospective Register of Systematic Reviews (PROSPERO). The final search was conducted on 18 January 2023 using 7 databases. Screening of articles, data extraction, and quality assessment was performed by 2 independent reviewers. The ISPOR-AMCP-NPC checklist was used to assess the credibility of the included studies.

RESULTS

From 4948 retrieved studies, a final total of 20 studies were included in the qualitative synthesis. Studies found that screening in diabetic populations was cost-effective (n = 8, 57%) or even cost-saving (n = 6, 43%). Four studies (67%) found that screening in hypertensive populations was also cost-effective. For the general population, findings were inconsistent across studies in which many found screening to be cost-effective (n = 11, 69%), some cost-saving (n = 2, 12%), and others not cost-effective (n = 3, 19%). The most influential parameters identified were prevalence of CKD and cost of screening.

CONCLUSIONS

Screening for CKD in patients with diabetes or hypertension is recommended from a cost-effectiveness point of view. For the general population, despite some inconsistent findings, the majority of studies demonstrated that screening in this population is cost-effective, depending mainly on the prevalence and the costs of screening. Healthcare decision makers need to consider the prevalence, stratification strategies, and advocate for lower screening costs to reduce the burden on healthcare budgets and to make screening even more favorable from the health-economic perspective.

Cost-effectiveness of population-based screening for microalbuminuria in people with type 2 diabetes mellitus in India

OBJECTIVES

Patients with diabetes have a higher risk of developing chronic kidney disease (CKD). Early detection of CKD through microalbuminuria screening, followed by treatment, delays the progression of CKD. We evaluated the cost-effectiveness of population-based screening of microalbuminuria among normotensive type 2 diabetes mellitus patients aged >40 years compared with no screening scenario using a decision tree combined with the Markov model.

METHODS

We considered two scenarios: Scenario I - dipstick microalbuminuria followed by spot-urine albumin-creatinine ratio (ACR) and serum creatinine in sequence; Scenario II - spot urine ACR plus serum creatinine. A mathematical cohort of the target population was simulated over a lifetime horizon with an annual cycle. Data for the model were obtained from secondary resources. The incremental cost-effectiveness ratios (ICERs) were estimated for screening scenarios compared to nonscreening scenario, along with sensitivity analyses.

RESULTS

The discounted ICER per quality-adjusted life years gained for annual microalbuminuria screening in the normotensive diabetic population in India were ₹ 24,114 (US$ 308) and ₹ 13,790 (US$ 176) for scenarios I and II, respectively. Annual screening by scenarios I and II resulted in a reduction of 180 and 193 end-stage renal disease (ESRD) cases per 100,000 population, respectively, resulting in a cost saving of ₹ 12.3 and 13.3 Crore spent on ESRD management over 10 years. Both scenarios were also cost-effective even at the screening frequencies of 5 and 10 yearly.

CONCLUSION

Microalbuminuria screening was cost-effective at the threshold of one-time GDP per capita in India.

Modeling Chronic Kidney Disease in Type 2 Diabetes Mellitus: A Systematic Literature Review of Models, Data Sources, and Derivation Cohorts

INTRODUCTION

As novel therapies for chronic kidney disease (CKD) in type 2 diabetes mellitus (T2DM) become available, their long-term benefits should be evaluated using CKD progression models. Existing models offer different modeling approaches that could be reused, but it may be challenging for modelers to assess commonalities and differences between the many available models. Additionally, the data and underlying population characteristics informing model parameters may not always be evident. Therefore, this study reviewed and summarized existing modeling approaches and data sources for CKD in T2DM, as a reference for future model development.

METHODS

This systematic literature review included computer simulation models of CKD in T2DM populations. Searches were implemented in PubMed (including MEDLINE), Embase, and the Cochrane Library, up to October 2021. Models were classified as cohort state-transition models (cSTM) or individual patient simulation (IPS) models. Information was extracted on modeled kidney disease states, risk equations for CKD, data sources, and baseline characteristics of derivation cohorts in primary data sources.

RESULTS

The review identified 49 models (21 IPS, 28 cSTM). A five-state structure was standard among state-transition models, comprising one kidney disease-free state, three kidney disease states [frequently including albuminuria and end-stage kidney disease (ESKD)], and one death state. Five models captured CKD regression and three included cardiovascular disease (CVD). Risk equations most commonly predicted albuminuria and ESKD incidence, while the most predicted CKD sequelae were mortality and CVD. Most data sources were well-established registries, cohort studies, and clinical trials often initiated decades ago in predominantly White populations in high-income countries. Some recent models were developed from country-specific data, particularly for Asian countries, or from clinical outcomes trials.

CONCLUSION

Modeling CKD in T2DM is an active research area, with a trend towards IPS models developed from non-Western data and single data sources, primarily recent outcomes trials of novel renoprotective treatments.

Cost-Utility Analysis of Dapagliflozin as an Add-on to Standard of Care for Patients with Chronic Kidney Disease in Thailand

Introduction

Chronic kidney disease (CKD) creates a significant economic burden on patients and society. The DAPA-CKD trial reports the benefit of dapagliflozin in CKD patients; however, its cost-effectiveness is unknown in Thailand. This study evaluated the cost–utility of dapagliflozin in addition to standard of care (SoC) compared with SoC alone in CKD patients.

Methods

A Markov model was employed to estimate lifetime costs, life-years, and quality-adjusted life-year (QALY), with the modeled population aligned to the baseline characteristics of a DAPA-CKD trial, from a societal perspective. Effectiveness inputs were obtained from the DAPA-CKD trial. Costs and most utility data were gathered from published studies conducted in Thailand. Costs and benefits were discounted at 3% per annum. A series of sensitivity analyses were performed.

Results

Over a lifetime horizon, add-on dapagliflozin was estimated to increase life-years by 0.34 and QALY by 0.30 in comparison with SoC alone (7.13 vs. 6.78 years, 5.10 vs. 4.80 QALYs). Total cost was lower under dapagliflozin treatment than SoC treatment (648,413 THB vs. 689,284 THB or 20,947.64 USD vs. 22,268.01 USD). Cost saving occurred as a result of the lower costs of dialysis and KT. The findings were robust to the changes of inputs.

Conclusions

On the basis of the DAPA-CKD trial, the add-on dapagliflozin results in cost saving compared favorably with SoC alone in Thailand. The benefit of dapagliflozin in delayed CKD progression is that it reduces the requirement for dialysis and KT, which can offset the costs of dapagliflozin and early CKD treatment.

Cost-Utility Analysis of Dapagliflozin as an Add-On to Standard Treatment for Patients with Type 2 Diabetes and High Risk of Cardiovascular Disease in Thailand

INTRODUCTION

Diabetes treatment has incurred financial burden. We examined the cost-utility of adding dapagliflozin to the standard treatment for treating type 2 diabetes (T2DM) with cardiovascular risk in a Thai context.

METHODS

A two-part model, decision tree and Markov models, was developed to capture the benefits in terms of heart failure (HF) and chronic kidney disease. The model was used to estimate the lifetime costs and outcomes from a societal perspective. Costs were based on local data while the transitional probabilities and utilities were derived from the DECLARE-TIMI 58 clinical trial and published studies. Future costs and outcomes were discounted at an annual rate of 3%. The results were reported as incremental cost-effectiveness ratios (ICER). One-way and probabilistic sensitivity analyses were performed to investigate parameter uncertainty.

RESULTS

The increased cost of adding dapagliflozin from 8707 USD to 14,455 USD was associated with an increase in quality-adjusted life years (QALYs) from 9.28 to 9.58, yielding an ICER of 18,988 USD/QALY. Compared with the standard treatment, the dapagliflozin group acquired more clinical benefits in terms of fewer HF hospitalizations and macroalbuminuria. Sensitivity analyses revealed that with high prevalence of diabetic nephropathy of 29.4-43.9%, the ICER would decline to 5591-8014 USD/QALY.

CONCLUSION

On the basis of the DECLARE study with low incidence of T2DM complications and 4.2 years of median follow-up duration, the add-on dapagliflozin results in an ICER of 18,988 USD/QALY, which exceeds the local threshold of 5310 USD/QALY. Dapagliflozin would show better value for money in the context of high prevalence of T2DM complications.

Economic Modelling of Chronic Kidney Disease: A Systematic Literature Review to Inform Conceptual Model Design

BACKGROUND

Chronic kidney disease (CKD) is a progressive condition that leads to irreversible damage to the kidneys and is associated with an increased incidence of cardiovascular events and mortality. As novel interventions become available, estimates of economic and clinical outcomes are needed to guide payer reimbursement decisions.

OBJECTIVE

The aim of the present study was to systematically review published economic models that simulated long-term outcomes of kidney disease to inform cost-effectiveness evaluations of CKD treatments.

METHODS

The review was conducted across four databases (MEDLINE, Embase, the Cochrane library and EconLit) and health technology assessment agency websites. Relevant information on each model was extracted. Transition and mortality rates were also extracted to assess the choice of model parameterisation on disease progression by simulating patient's time with end-stage renal disease (ESRD) and time to ESRD/death. The incorporation of cardiovascular disease in a population with CKD was qualitatively assessed across identified models.

RESULTS

The search identified 101 models that met the criteria for inclusion. Models were classified into CKD models (n = 13), diabetes models with nephropathy (n = 48), ESRD-only models (n = 33) and cardiovascular models with CKD components (n = 7). Typically, published models utilised frameworks based on either (estimated or measured) glomerular filtration rate (GFR) or albuminuria, in line with clinical guideline recommendations for the diagnosis and monitoring of CKD. Generally, two core structures were identified, either a microsimulation model involving albuminuria or a Markov model utilising CKD stages and a linear GFR decline (although further variations on these model structures were also identified). Analysis of parameter variability in CKD disease progression suggested that mean time to ESRD/death was relatively consistent across model types (CKD models 28.2 years; diabetes models with nephropathy 24.6 years). When evaluating time with ESRD, CKD models predicted extended ESRD survival over diabetes models with nephropathy (mean time with ESRD 8.0 vs. 3.8 years).

DISCUSSION

This review provides an overview of how CKD is typically modelled. While common frameworks were identified, model structure varied, and no single model type was used for the modelling of patients with CKD. In addition, many of the current methods did not explicitly consider patient heterogeneity or underlying disease aetiology, except for diabetes. However, the variability of individual patients' GFR and albuminuria trajectories perhaps provides rationale for a model structure designed around the prediction of individual patients' GFR trajectories. Frameworks of future CKD models should be informed and justified based on clinical rationale and availability of data to ensure validity of model results. In addition, further clinical and observational research is warranted to provide a better understanding of prognostic factors and data sources to improve economic modelling accuracy in CKD.

Prevention of renal failure in Chinese patients with newly diagnosed type 2 diabetes: A cost-effectiveness analysis

Aims/Introduction

Diabetic kidney disease (DKD) is the second leading cause (16.4%) of end‐stage renal disease in China. The current study assessed the cost‐effectiveness of preventing DKD in patients with newly diagnosed type 2 diabetes from the Chinese healthcare perspective.

Materials and Methods

A lifetime Markov decision model was developed according to the disease course of DKD. Patients with newly diagnosed type 2 diabetes might receive treatment according to one of the following three strategies: (i) “do nothing” strategy (control strategy); (ii) treatment with angiotensin‐converting enzyme inhibitors and angiotensin II receptor blockers (universal strategy); (iii) or screening for microalbuminuria followed by angiotensin‐converting enzyme inhibitor/angiotensin II receptor blocker treatment (screening strategy). Clinical and utility data were obtained from the published literature. Direct medical costs and resource utilization in the Chinese healthcare setting were considered. Sensitivity analyses were undertaken to test the impact of a range of variables and assumptions on the results.

Results

Compared with the control strategy, both the screening and universal strategies were cost‐saving options that showed lower costs and better health benefits. The incremental cost‐effectiveness ratio of the universal strategy over the screening strategy was US $30,087 per quality‐adjusted life‐year, which was higher than the cost‐effectiveness threshold of China. The sensitivity analyses showed robust results, except for the probability of developing macroalbuminuria from microalbuminuria.

Conclusions

Screening for microalbuminuria could be a cost‐saving option for the prevention of DKD in the Chinese setting.

Methods Used in Economic Evaluations of Chronic Kidney Disease Testing - A Systematic Review

Background

The prevalence of chronic kidney disease (CKD) is high in general populations around the world. Targeted testing and screening for CKD are often conducted to help identify individuals that may benefit from treatment to ameliorate or prevent their disease progression.

Aims

This systematic review examines the methods used in economic evaluations of testing and screening in CKD, with a particular focus on whether test accuracy has been considered, and how analysis has incorporated issues that may be important to the patient, such as the impact of testing on quality of life and the costs they incur.

Methods

Articles that described model-based economic evaluations of patient testing interventions focused on CKD were identified through the searching of electronic databases and the hand searching of the bibliographies of the included studies.

Results

The initial electronic searches identified 2,671 papers of which 21 were included in the final review. Eighteen studies focused on proteinuria, three evaluated glomerular filtration rate testing and one included both tests. The full impact of inaccurate test results was frequently not considered in economic evaluations in this setting as a societal perspective was rarely adopted. The impact of false positive tests on patients in terms of the costs incurred in re-attending for repeat testing, and the anxiety associated with a positive test was almost always overlooked. In one study where the impact of a false positive test on patient quality of life was examined in sensitivity analysis, it had a significant impact on the conclusions drawn from the model.

Conclusion

Future economic evaluations of kidney function testing should examine testing and monitoring pathways from the perspective of patients, to ensure that issues that are important to patients, such as the possibility of inaccurate test results, are properly considered in the analysis.