Background: Chronic kidney disease is a serious public health issue in Egypt. An estimated 13% of individuals in Egypt are expected to have CKD, with a higher prevalence among older adults and in rural regions. The primary goal of the study was to compare the cost-utility of the standard of care alone against add-on medication, dapagliflozin, as a preventative measure against complications of CKD in cases with or without diabetes mellitus.
Methods: A lifetime Markov state transition model with a 3-month cycle was employed based on the clinical evidence from the DAPA-CKD clinical trial. The model was to provide estimates of the long-term economic and health impact of managing CKD patients. Cost-effectiveness is assessed regarding the cost per quality-adjusted life year (QALY) gained. This economic evaluation study used a payer perspective. Moreover, the study evaluated the impact on the budget due to the undertaking of dapagliflozin. One-way deterministic sensitivity analyses, as well as a probabilistic sensitivity analysis, were employed.
Results: During a lifetime horizon, the difference in cost between dapagliflozin and SOC was EGP -65,212 (USD 2126.89). The difference in QALY between dapagliflozin and SOC was 4.3. In CKD patients, adding dapagliflozin to ramipril generates better QALYs and lower costs than ramipril alone. Dapagliflozin improved the outcomes and generated cost savings. A deterministic one was sensitivity analysis revealed that the model is robust to changes in all variables included. Probabilistic sensitivity analysis using Monte Carlo simulation with 10,000 iterations showed that in about 82.64% of trials, dapagliflozin is cost-saving. The undertaking of dapagliflozin by any percent will have a positive impact on the budget.
Conclusion: During the lifetime horizon, dapagliflozin is cost-saving; it benefits the quality of life and the total cost. The addition of dapagliflozin to SOC has a saving effect of 11.9% of the budget.
Chronic kidney disease (CKD) is a progressive loss of renal function over months or years [1] . The prevalence rates of CKD worldwide are high and have increased in the last decade to about 13% - 15%, with an increased prevalence of diabetes (DM) and hypertension [2] . According to a recent systematic review, the prevalence of CKD among adults with DM, hypertension, and obesity was 31%, 27%, and 14%, respectively [3] .
Chronic kidney disease (CKD) has become a significant public health issue. It is a global cause of morbidity and mortality [4] . In 2016, CKD was reviewed as the 16th leading cause of death and was forecasted to increase to the fifth top cause by 2040 [5] . Over the past 30 years, CKD has been considered among the top ten contributors to global loss of health and the increasing global burden of disease (GBD) among older adults [6] . Based on the global health estimated report of the World Health Organization (WHO), CKD was the 10th cause of global death in 2019 [7] . It represents a considerable burden, especially in developing countries, due to the high prevalence of uncontrolled chronic risk factors, such as obesity, cardiovascular disease (CVD), and diabetes [8] .
In Egypt, CKD is a significant public health problem. According to a recent study, the prevalence of CKD in Egypt was estimated to be around 13% of adults, with a higher prevalence in rural areas and among older adults [1] [9] .
The leading causes of CKD in Egypt include diabetes, hypertension, and glomerulonephritis. The burden of CKD in Egypt is further compounded by limited access to healthcare services, inadequate screening and detection of CKD, and a shortage of effective treatment [10] .
Dapagliflozin Technology
Dapagliflozin is a sodium-glucose co-transporter-2 (SGLT2) inhibitor used orally in managing T2DM. It decreased renal glucose reabsorption by inhibiting the transporter protein SGLT2 in the renal proximal tubule.
Plentiful, well-designed clinical trials with dapagliflozin, either as add-on therapy or monotherapy, have demonstrated reductions in HBA1c and fasting plasma glucose levels [11] . Dapagliflozin is reported as the only SGLT2 inhibitor to demonstrate a significantly reduced risk of CV death vs. placebo in patients with HFrEF [12] . After that success in patients with HFrEF Worldwide and in Egypt [13] , dapagliflozin has emerged as a promising class of medications for treating HFpEF.
Moreover, dapagliflozin showed a kidney protective effect in patients with or without T2DM in the DAPA-CKD trial [14] . DAPA CKD, an international, phase-3, multicentre, double-blind, randomized controlled trial (RCT), evaluated the safety and efficacy of dapagliflozin as an add-on therapy to standard of care (SoC) to prevent CKD progression or mortality due to renal or CV causes among patients with CKD, with or without type 2 diabetes [14] . The available treatment options for CKD are considered to be limited. Experts recommend angiotensin-converting enzyme (ACE) inhibitors and angiotensin receptor blockers (ARBs) as the gold standard to slow the progression of the disease [15] .
Nonetheless, healthcare decision-makers require decision-making support tools validated to evaluate the expected long-term economic outcomes associated with CKD management.
2. Objective
The main objective behind conducting this economic model was to evaluate the cost-utility of dapagliflozin as an add-on therapy to standard of care SOC (ramipril) versus ramipril alone as a preventative strategy against CKD complications with or without the presence of DM from the payer perspective over a lifetime horizon to guide decision-makers to the best available therapy for this population. To the best of our knowledge, this is the first economic model built to evaluate the cost-effectiveness of dapagliflozin in Egyptian CKD patients. Moreover, the study evaluated the impact on the budget due to the undertaking of dapagliflozin.
3. Methods3.1. The Model Population
The model population reflects the participants included in the DAPA-CKD clinical trial [14] . In brief, the eligible patients were adults with or without T2DM who had an eGFR of 25 - 75 mL per min per 1.73 m2 of body surface area and a urinary albumin-to-creatinine ratio of 200 - 5000 mg/g. The starting age in this study was 60 years.
3.2. Intervention and Comparator
The intervention in this study was dapagliflozin (10 mg once daily) as an add-on to the current background therapy or SOC. The SOC was to maintain patients with a stable, optimized dose of ramipril 5 mg, an angiotensin-converting enzyme inhibitor (ACEI). Patients in the dapagliflozin group received an optimized dose of ramipril similar to those in the SOC group.
3.3. Model Overview
A lifetime Markov state transition model with a 3-month cycle was employed based on the clinical evidence from the DAPA-CKD clinical trial [14] . The model health states were defined by CKD state from stage 1 to stage 5 and ESKD, which was stratified into dialysis and transplant based on progression events observed in the DAPA-CKD clinical trial (Figure 1). The cohort population was distributed across all available CKD stages at baseline, consistent with the baseline population characteristic of the DAPA-CKD clinical trial, which was 11%, 31%, 44%, and 14% in CKD stage 2, stage 3a, stage 3b, and stage 4, respectively [14] . There were no patients in CKD stage 1, stage 5, or dialysis at the beginning. All patients eventually would enter the absorbing health state, which is the death state.
The model has been designed to provide estimates of the long-term economic and health impact of managing CKD patients. Cost-effectiveness is assessed in terms of the cost per quality-adjusted life year (QALY) gained (i.e. how much it costs for one year of life at full health). Patients are simulated as shown in the model schematic diagram (Figure 1). Each simulated subject is progressed through the model in 3-monthly time increments.
3.4. Model Inputs Data
Transition probabilities between different health states are based on data from the DAPA-CKD. Transitions were split into months 0 - 4 and months four onwards to capture the change in trend observed in mean eGFR in the DAPA-CKD clinical trial [5] . Rates of other adverse events not mentioned in DAPA-CKD are derived from recent studies of dapagliflozin [16] [17] . All clinical data, as well as utility data, are shown in Table 1 and Table 2.
Due to a paucity of utility data in the Egyptian setting, the utility data from published studies was used [18] - [23] . All utility data are shown in Table 2.
This economic evaluation study used a payer perspective. Direct costs included the acquisition cost of dapagliflozin, the cost of CKD treatment, and the cost of adverse event treatment. In addition, other direct costs related to outpatient visits, such as laboratories and monitoring, were added. The total monthly cost for dapagliflozin was calculated based on daily dose and unit cost. The daily dose used in this study was similar to that used in the DAPA-CKD clinical trial [14] . The median price of dapagliflozin was 333 EGP (10.86 USD) per month. All cost data are shown in Table 3.
3.5. Model Process and Analyses
Patients are simulated until death or the lifetime horizon. Once all patients have been simulated, the relevant statistics are summarized and presented. Of particular interest are the total costs and QALYs over the simulated time horizon (including those associated with complications, treatment, and adverse events), which are used to estimate cost-utility. The study’s perspective is the payer perspective to maximize health gain for the patients while ensuring the most efficient use of healthcare resources. The time horizon for the study is a lifetime. All costs and effects were discounted at 3.5% annually. The model is localized to the actual practice in Egypt.
The Markov model was built into Microsoft Excel 2019 (Microsoft, Redmond, WA, USA). The predicted long-term outcomes and costs were estimated and discounted at 3.5% as recommended by the ISPOR Health Economic Evaluation guideline [24] . The incremental cost-effectiveness ratio (ICER) was calculated using the formula ICER = (total cost of dapagliflozin cohort − total cost of SOC cohort)/(effect of dapagliflozin cohort − effect of SOC cohort), where the effect is quality-adjusted life year (QALY). Furthermore, the impact on the budget was calculated as a percent change due to the penetration of dapagliflozin by different percentages.
Transition probabilities included in the analysis
Dapagliflozin
From/to
CKD 1
CKD 2
CKD 3a
CKD 3b
CKD 4
CKD 5
Dialysis
Transplantation
Ref.
Mean
SE
Mean
SE
Mean
SE
Mean
SE
Mean
SE
Mean
SE
Mean
SE
Mean
SE
Month 0 - 4
CKD 1
0.586
0.076
0.219
0.064
0.049
0.033
0.049
0.033
0.024
0.024
0.024
0.024
0.024
0.024
0.025
0.024
[14]
CKD 2
0.018
0.005
0.709
0.016
0.246
0.015
0.019
0.005
0.003
0.002
0.003
0.002
0.001
0.001
0.001
0.001
[14]
CKD 3a
0.001
0.001
0.079
0.006
0.749
0.009
0.162
0.008
0.008
0.002
0
0
0
0
0
0
[14]
CKD 3b
0.001
0
0.005
0.001
0.079
0.004
0.812
0.006
0.102
0.005
0.001
0
0
0
0
0
[14]
CKD 4
0.001
0.001
0.003
0.001
0.006
0.002
0.143
0.008
0.843
0.008
0.004
0.001
0.001
0.001
0.001
0
[14]
CKD 5
0.063
0.06
0.125
0.08
0.062
0.058
0.124
0.08
0.375
0.118
0.125
0.08
0.063
0.059
0.062
0.059
[14]
Dialysis
0
0
0
0
0
0
0
0
0
0
0
0
0.995
0.0995
0.005
0.0005
[17]
Transplantation
0
0
0
0
0
0
0
0
0
0
0
0
0.007
0.0007
0.993
0.0993
[17]
Month 5 & on
CKD 1
0.891
0.017
0.07
0.014
0.009
0.005
0.015
0.007
0.006
0.004
0.003
0.003
0.003
0.003
0.003
0.003
[14]
CKD 2
0.005
0.001
0.909
0.004
0.078
0.004
0.006
0.001
0.002
0.001
0
0
0
0
0
0
[14]
CKD 3a
0.001
0
0.025
0.001
0.913
0.003
0.059
0.002
0.002
0
0
0
0
0
0
0
[14]
CKD 3b
0
0
0.001
0
0.025
0.001
0.938
0.002
0.035
0.001
0
0
0
0
0
0
[14]
CKD 4
0
0
0
0
0.001
0
0.035
0.002
0.952
0.002
0.01
0.001
0.001
0
0
0
[14]
CKD 5
0.001
0.001
0.002
0.001
0.002
0.001
0.001
0.001
0.027
0.005
0.92
0.008
0.045
0.006
0.002
0.001
[14]
Dialysis
0
0
0
0
0
0
0
0
0
0
0
0
0.995
0.0995
0.005
0.0005
[17]
Transplantation
0
0
0
0
0
0
0
0
0
0
0
0
0.007
0.0007
0.993
0.0993
[17]
Standard of care (SOC)
From/to
CKD 1
CKD 2
CKD 3a
CKD 3b
CKD 4
CKD 5
Dialysis
Transplantation
Ref.
Mean
SE
Mean
SE
Mean
SE
Mean
SE
Mean
SE
Mean
SE
Mean
SE
Mean
SE
Month 0 - 4
CKD 1
0.375
0.084
0.313
0.081
0.156
0.064
0.031
0.03
0.031
0.03
0.031
0.03
0.031
0.03
0.031
0.03
[14]
CKD 2
0.009
0.003
0.77
0.014
0.195
0.013
0.015
0.004
0.004
0.002
0.002
0.002
0.002
0.002
0.001
0.001
[14]
CKD 3a
0.002
0.001
0.07
0.005
0.774
0.009
0.149
0.007
0.004
0.001
0
0
0
0
0
0
[14]
CKD 3b
0.002
0.001
0.004
0.001
0.084
0.005
0.826
0.006
0.082
0.005
0.001
0.001
0.001
0
0
0
[14]
CKD 4
0.001
0.001
0.002
0.001
0.005
0.002
0.127
0.008
0.856
0.009
0.007
0.002
0.001
0.001
0.001
0.001
[14]
CKD 5
0.043
0.041
0.174
0.077
0.043
0.042
0.044
0.042
0.175
0.077
0.348
0.097
0.13
0.068
0.043
0.041
[14]
Dialysis
0
0
0
0
0
0
0
0
0
0
0
0
0.995
0.0995
0.005
0.0005
[17]
Transplantation
0
0
0
0
0
0
0
0
0
0
0
0
0.007
0.0007
0.993
0.0993
[17]
Month 5 & on
CKD 1
0.884
0.02
0.075
0.016
0.015
0.007
0.011
0.006
0.004
0.004
0.004
0.004
0.004
0.004
0.004
0.004
[14]
CKD 2
0.004
0.001
0.915
0.004
0.072
0.004
0.008
0.001
0.002
0.001
0
0
0
0
0
0
[14]
CKD 3a
0
0
0.023
0.001
0.91
0.003
0.064
0.002
0.003
0.001
0
0
0
0
0
0
[14]
CKD 3b
0
0
0.001
0
0.026
0.001
0.931
0.002
0.041
0.001
0
0
0.001
0
0
0
[14]
CKD 4
0
0
0.001
0
0.001
0
0.028
0.001
0.954
0.002
0.014
0.001
0.002
0
0
0
[14]
CKD 5
0.001
0.001
0.001
0.001
0.001
0.001
0.002
0.001
0.038
0.005
0.91
0.008
0.044
0.005
0.003
0.002
[14]
Dialysis
0
0
0
0
0
0
0
0
0
0
0
0
0.995
0.0995
0.005
0.0005
[17]
Transplantation
0
0
0
0
0
0
0
0
0
0
0
0
0.007
0.0007
0.993
0.0993
[17]
Clinical and utility data included in the analysis
Base case
Low value
High value
Ref.
Baseline CKD
CKD stage 2
0.105
0.08
0.13
[14]
CKD stage 3a
0.309
0.25
0.37
[14]
CKD stage 3b
0.441
0.35
0.53
[14]
CKD stage 4
0.145
0.12
0.17
[14]
Overall survival
Dapagliflozin
OS Weibull c
1.5893
1.2714
1.9072
[14]
OS Weibull k
0.0002
0.0001
0.0002
[14]
SOC
OS Weibull c
1.5
1.2000
1.8000
[14]
OS Weibull k
0.002
0.0002
0.0003
[14]
Rate of adverse events
Dapagliflozin
Base case
Low value
High value
Ref.
hHF
0.017
0.01
0.02
[10]
AKI
0.059
0.0472
0.0708
[14]
GI
0.009
0.01
0.01
[16]
UTI
0.015
0.01
0.02
[16]
Major hypoglycemia
0.007
0.0056
0.0084
[14]
SOC
hHF
0.033
0.026
0.04
[10]
AKI
0.042
0.0336
0.0504
[14]
GI
0.001
0.001
0.001
[16]
UTI
0.016
0.013
0.019
[16]
Major hypoglycemia
0.013
0.0104
0.0156
[14]
Utilities
CKD 1
0.85
0.68
1.02
[18]
CKD 2
0.85
0.68
1.02
[18]
CKD 3a
0.8
0.64
0.96
[18]
CKD 3b
0.8
0.64
0.96
[18]
CKD 4
0.566
0.4528
0.6792
[19]
CKD 5
0.467
0.3736
0.5604
[19]
Dialysis
0.126
0.1008
0.1512
[19]
Renal transplant
0.83
0.66
1
[20]
Disutility of AE
hHF
0.1
0.08
0.12
[21]
AKI
0.05
0.04
0.06
[22]
GI
0.038
0.03
0.05
[22]
UTI
0.025
0.02
0.03
[22]
Severe hypoglycemia
0.01
0.008
0.012
[23]
Note: AKI: acute kidney injury; GI: genital infection; UTI: urinary tract infection; hHF: hospitalization due to HF.
Costs included in the analysis
Option/dose
Base case
Low value
High value
Treatment cost
Dapagliflozin 10 mg cost per pack (28 tabs)
333
266.4
399.6
Ramipril 2.5 mg tab cost per pack (14 tabs)
30
24.0
36.0
AE management cost
Clotrimazole cream
15
12.0
18.0
Ciprofloxacin 250 mg tab (10 tabs)
25
20.0
30.0
Phenazopyridine 100 mg tablet (20 tabs)
5
4.0
6.0
Dextrose infusion
18
14.4
21.6
Saline 9% 500 CC
18
14.4
21.6
Glucagon 1 ml vail
90
72.0
108.0
CKD complications management
Vit D 400 IU & Ca carbonate (30 tabs)
52
41.6
62.4
Sevelamer tablet 800 mg (30 tabs)
120
96.0
144.0
Epoetin alfa vial
614
491.2
736.8
Hospitalization
Cost of inpatient/day (ICU room
8000
6400.0
9600.0
Cost of inpatient/day (general ward)
2000
1600.0
2400.0
Cost of outpatient/day
500
400.0
600.0
Transient events hHF
Isosorbide mononitrate 60 mg tablet (20 tabs)
18
14.4
21.6
Furosemide IV (1 mL)
5.5
4.4
6.6
Carvedilol 25 mg tablet (30 tabs)
36
28.8
43.2
Lab tests
Hb A1c
80
64.0
96.0
Serum creatinine
25
20.0
30.0
GFR
50
40.0
60.0
Urea
25
20.0
30.0
Electrolytes
45
36.0
54.0
ACR
80
64.0
96.0
CBC
25
20.0
30.0
Urine protein test (24 hrs)
60
48.0
72.0
Lipid profile
200
160.0
240.0
LFT
200
160.0
240.0
Upper GI endoscopy
1500
1200.0
1800.0
Virology scan
200
160.0
240.0
ABO typing
30
24.0
36.0
HLA
1800
1440.0
2160.0
Tacrolimus trough level
80
64.0
96.0
Echocardiography
250
200.0
300.0
X-ray
150
120.0
180.0
Dialysis
Cost of hemodialysis
2000
1600.0
2400.0
Heparin 25,000 is (cost/IU)
15
12.0
18.0
Transplantation
Transplantation operation cost
150,000
120000.0
180000.0
Prednisone 5 mg (20 tabs)
15
12.0
18.0
Tacrolimus 1 mg (100 caps)
1100
880.0
1320.0
Cyclosporin 100 mg (50 caps)
574
459.2
688.8
Mycophenolic acid 360 mg (120 tabs)
2580
2064.0
3096.0
3.6. Sensitivity Analyses
To test the robustness of our results to variation in the estimates of the input model parameters, we performed various one-way deterministic sensitivity analyses, as recommended by Consolidated Health Economic Evaluation Reporting Standards (CHEERS): ISPOR Taskforce report [24] . All model inputs were varied through reasonable ranges/confidence intervals determined from different published sources. When standard error was not available, probability and utility were varied by ± 20%, and the cost was varied by ± 20%. The results are displayed as a tornado diagram. A probabilistic sensitivity analysis (PSA) employed the recommended distributions by Briggs et al. [25] . Beta distribution is appropriate for transitional probability and utility due to the range of 0 - 4. Gamma distribution is appropriate for cost data owing to the positive value. The model parameters were randomly sampled (10,000 trials) based on their distribution. The results are presented as a scatter plot on the cost-effectiveness plane.
4. Results4.1. Base Case Result
During a lifetime horizon, the difference in cost between dapagliflozin and SOC was EGP 65,212 (USD 2126.89). The difference in QALY between dapagliflozin and SOC was 4.3.
In CKD patients, adding dapagliflozin to ramipril generates better QALYs and lower costs than ramipril alone. Dapagliflozin improved the outcomes and generated cost savings. Table 4 shows the total results for both treatment arms in our study. Different time horizons (10 years and 20 years) were tested, and no change in the results occurred.
The progression in CKD from lower to higher CKD stages is more rapid in the SOC group than in the dapagliflozin group.
That was reflected in the segmented costs. As depicted in Figure 2, drug acquisition cost is higher in the dapagliflozin (46%) than in the SOC group (27%). However, dialysis costs, transplantation costs, and adverse events costs are higher in the SOC group than in the dapagliflozin group (p-value = 0.037).
4.2. Uncertainty Analyses
A deterministic one-was sensitivity analysis (Figure 3) revealed that the model is robust to changes in all variables included.
Decision analysis model results
Difference in cost dapagliflozin-SOC
Difference in QALY dapagliflozin-SOC
ICER
10 years
−34,199
4.1
−3535
20 years
−6337
1.8
−8413
30 years (life-time)
−65,212
4.3
−15,286
PSA, using Monte Carlo simulation with 10,000 iterations, explored the effects of joint uncertainty on the model results using prespecified distributions as mentioned above. A cost-effectiveness plane was used to graphically demonstrate the variation in incremental costs and QALYs for dapagliflozin compared to SOC alone (Figure 4). As shown, most difference pairs are found in the northeast and southeast quadrants of the cost-effectiveness plane, which indicates that dapagliflozin use in CKD patients is more effective (positive incremental QALY scores) and that there is a large proportion in the southeast quadrant, suggesting that dapagliflozin is cost saving. In about 82.64% of trials, dapagliflozin is cost-saving.
5. Impact on Budget
For patients with CKD, adding dapagliflozin by 5% led to a change in the budget by −0.6%.
On the other hand, the undertaking of dapagliflozin by 100% of them leads to a change in the budget by −11.9%, as shown in Figure 5.
6. Discussion
In order to address the unmet needs for CKD, new medication must be implemented. The present therapeutic alternatives, ACE and ARBs in particular, are thought to be of limited effect in delaying the progression of the illness into ESRD and have not been shown to prevent CV-related morbidity and death [15] .
The principal therapeutic approach for CKD patients with ACR and eGFR values between 200 and 5000 mg/g and 25 and 75 mL/min/1.73 m2, respectively, is dapagliflozin, which is utilized as a prophylactic against renal problems [26] .
According to the findings of our study, dapagliflozin as an add-on therapy raises upfront expenses but eventually balances them out by preventing the need for dialysis or transplantation, which comes with greater monthly expenditures when compared to the early stages of CKD in Egypt compared to other countries [27] .
In patients with CKD in the UK, a cost-effectiveness analysis comparing dapagliflozin as an add-on therapy to SOC over a lifetime horizon to placebo revealed that dapagliflozin was thought to be a cost-effective option in addition to improving life expectancy (LE), slowing the progression to ESRD, and lowering the likelihood of CKD adverse events (AEs), such as hHF and AKI [28] .
The difference in QALYs between dapagliflozin and SOC was 4.3. The reasons why the results of our study differ from those of other studies and different countries are the local clinical practice utilized in the management of each health condition and its transitory events (resource utilization), the unit costs, and the country-specific mortality rate.
Since CKD was tenth leading cause of death globally [7] , dapagliflozin’s effect on lowering CV/overall mortality was not restricted to patients with a history of CVD; it was also observed in patients without a history of CV issues [29] . This indirectly improved productivity. Dapagliflozin also demonstrated a positive benefit in individuals with a baseline characteristic stage 4 that was comparable to those at stage 2/3, demonstrating consistency in the preventive effect against renal and CV endpoints throughout the advanced stages of CKD [30] .
As was previously indicated, diabetes and GN were the main causes of CKD in Egypt. Since dapagliflozin regulates blood glucose levels, it can prevent the development of diabetic nephropathy (DN), a kind of chronic kidney disease [10] . According to the results of a systematic review, dapagliflozin has a nephroprotective impact against acute kidney injury (AKI) and renal mortality, in addition to lowering the incidence of ESRD among diabetes patients treated with dialysis or transplantation [31] . Moreover, dapagliflozin demonstrated a noteworthy decrease in the emergence of GN-related complications, including a 50% drop in eGFR, a lowered risk of ESRD development, and a lowered renal/CV mortality rate. Compared to 11% in the placebo group, 8% of individuals receiving dapagliflozin experienced those endpoints [32] .
Due to the high expense of continuous RRT sessions and the high dialysis mortality rate, dialysis is regarded as a major burden for the developing countries like Egypt [10] . Dapagliflozin may be able to lessen the burden of mortality in addition to all-cause mortality in patients receiving chronic dialysis [33] [34] .
Egyptian people with CKD have unmet needs since the lowest quality of life is experienced by those who receive an ESRD diagnosis between six and twelve months of illness. Implementing a preventive strategy like dapagliflozin, which can decrease the progression of CKD, is therefore crucial. This will assist in managing other comorbidities, reducing the initial course of the disease, and maximizing the use of hHF resources. Over the course of a patient’s lifetime, dapagliflozin has been shown to increase quality-adjusted life years (QALYs) in non-diabetic CKD patients. It also slows the progression of the disease and lowers the percentage of individuals who acquire ESRD from 17.4% to 11% [35] .
There are numerous noteworthy strengths to our study. Our study’s main advantage is that all of the cost parameters—which represent the payer perspective—came from Egyptian hospitals and were local. Additionally, for each cycle for both patient cohorts, our study computed the cost of transient episodes of hHF, AKI, and AEs. Additionally, we surveyed a variety of clinical specialists with varying characteristics to validate all of the model’s inputs and ensure that they accurately reflected Egyptian practice. However, it is necessary to note a few restrictions. Our study modelled the economic advantages of a cohort of patients with eGFRs and ACRs ranging from 25 - 74 mL/min/1.73 m2 and 200 - 5000 mg/g, respectively, and comparable to the one employed in DAPA-CKD. As a result, calculating the economic advantages within a cohort with distinct baseline characteristics will not be feasible. Furthermore, our study’s mortality risk was taken from DAPA-CKD, which had a consistent mortality risk and a median follow-up of 2.4 years.
7. Conclusion
Because of its nephroprotective impact, dapagliflozin, independent of the aetiology of CKD, is thought to be a cost-saving choice in addition to improving QALYs in CKD patients with or without type 2 diabetes. This is due to the fact that it slows the disease’s progression into end-stage renal disease (ESRD), which eventually results in a decrease in the financial burden of dialysis and transplantation on Egypt’s healthcare system. During the lifetime horizon, dapagliflozin is cost-saving; it benefits the quality of life and the total cost. The addition of dapagliflozin to SOC had a saving effect of 11.9% of the budget.
Funding
AstraZeneca provided assistance with publication fees. No other funding was received for this paper.
Conflicts of Interest
The authors declare no conflicts of interest regarding the publication of this paper.
Cite this paper
Saadi, G., Elsharkawy, M., El-Naggar, G.F., Elkeraie, A.F. and Issak, E.R. (2023) Cost Utility Analysis of Dapagliflozin in Egyptian Patients with CKD from the Payer Perspective. Open Journal of Nephrology, 13, 435-450. https://doi.org/10.4236/ojneph.2023.134040
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