Cost effectiveness of DPYD genotyping to screen for dihydropyrimidine dehydrogenase (DPD) deficiency prior to adjuvant chemotherapy for colon cancer.

2021 ◽  
Vol 39 (3_suppl) ◽  
pp. 55-55
Author(s):  
Gabriel A. Brooks ◽  
Stephanie Tapp ◽  
Allan T. Daly ◽  
Jonathan Busam ◽  
Anna N.A. Tosteson

55 Background: Fluoropyrimidine chemotherapy agents, including 5-fluorouracil and capecitabine, are the backbone of adjuvant treatment for colon cancer, and adjuvant chemotherapy substantially reduces recurrence and mortality after surgical resection of stage 3 colon cancer. While fluoropyrimidine chemotherapy is generally safe, the risk of severe, potentially fatal chemotherapy toxicity is substantially increased for the 2-3% of U.S. patients with DPD deficiency caused by pathogenic variants in the DPYD gene. DPYD genotype testing is readily available in the U.S. but has not been widely adopted. We evaluated the cost effectiveness of DPYD genotyping prior to adjuvant chemotherapy for colon cancer in the U.S. Methods: We constructed a Markov model to simulate screening for DPD deficiency with DPYD genotyping (versus no screening) among patients receiving fluoropyrimidine-based adjuvant chemotherapy for stage 3 colon cancer. Screen-positive patients were modeled to receive dose-reduced fluoropyrimidine chemotherapy. Model transition probabilities for treatment-related toxicities were derived from published clinical trial data with annotation of DPYD genotype and chemotherapy dosing strategy. Our analysis is from the healthcare perspective, with a time horizon of five years and an annual discount rate of 3% for future costs and benefits. Direct healthcare costs and health utilities were estimated from published sources and converted to 2020 US dollars, and post-treatment survival was modeled from SEER data. The primary outcome was the incremental cost-effectiveness ratio (ICER), defined as dollars per quality-adjusted life year (QALY). We used a value of $100,000/QALY as the cost-effectiveness threshold. One-way sensitivity analyses were used to examine model uncertainty. Results: Compared with no screening, screening for DPD deficiency with DPYD genotyping increased per-patient costs by $106 and improved quality-adjusted survival by 0.0028 QALYs, leading to an ICER of $37,300/QALY. In one-way sensitivity analyses, the ICER exceeded $100,000/QALY when the carrier frequency of pathogenic DPYD gene variants was less than 1.17%, and when the specificity of DPYD genotyping was less than 98.9%. Cost-effectiveness estimates were not sensitive to the cost of DPYD genotyping, the cost of toxicity-related hospitalizations, or the health utility associated with grade 3-4 toxicity. Conclusions: Among patients receiving adjuvant chemotherapy for stage 3 colon cancer, screening for DPD deficiency with DPYD genotyping is a cost-effective strategy for preventing infrequent but severe, sometimes fatal toxicities of fluoropyrimidine chemotherapy.

2018 ◽  
Vol 34 (6) ◽  
pp. 576-583 ◽  
Author(s):  
Saeed Taheri ◽  
Elham Heidari ◽  
Mohammad Ali Aivazi ◽  
Mehran Shams-Beyranvand ◽  
Mehdi Varmaghani

Objectives:This study aimed to assess the cost-effectiveness of ivabradine plus standard of care (SoC) in comparison with current SoC alone from the Iranian payer perspective.Methods:A cohort-based Markov model was developed to assess the incremental cost-effectiveness ratio (ICER) over a 10-year time horizon in a cohort of 1,000 patients. The baseline transition probabilities between New York Heart Association (NYHA), mortality rate, and hospitalization rate were extracted from the literature. The effect of ivabradine on mortality, hospitalization, and NYHA improvement or worsening were retrieved from the SHIFT study. The effectiveness was measured as quality-adjusted life-years (QALYs) using the utility values derived from Iranian Heart Failure Quality of Life study. Direct medical costs were obtained from hospital records and national tariffs. Deterministic and probabilistic sensitivity analyses were conducted to show the robustness of the model.Results:Ivabradine therapy was associated with an incremental cost per QALY of USD $5,437 (incremental cost of USD $2,207 and QALYs gained 0.41) versus SoC. The probabilistic sensitivity analysis showed that ivabradine is expected to have a 60 percent chance of being cost-effective accepting a threshold of USD $6,550 per QALY. Furthermore, deterministic sensitivity analysis indicated that the model is sensitive to the ivabradine drug acquisition cost.Conclusions:The cost-effectiveness model suggested that the addition of ivabradine to SoC therapy was associated with improved clinical outcomes along with increased costs. The analysis indicates that the clinical benefit of ivabradine can be achieved at a reasonable cost in eligible heart failure patients with sinus rhythm and a baseline heart rate ≥ 75 beats per minute (bpm).


2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Kateir Mariel Contreras ◽  
Viviana Orozco Ortiz ◽  
Eduardo José Puche ◽  
Paola Karina Garcia ◽  
Camilo Alberto Gonzalez ◽  
...  

Abstract Background and Aims Azathioprine has been for decades the drug of choice for maintenance therapy in patients with generalized ANCA vasculitis in remission. However, recent studies show that rituximab, a high-cost biological agent, which can be administrated in two different schedules, might be more effective, so it is necessary to know the cost- effectiveness. Our goal was to compare the cost-effectiveness of the 3 maintenance schemes: standard therapy with azathioprine; fixed-dose rituximab and rituximab tailored according to CD19 lymphocyte level and ANCA titres, from the perspective of the Colombian healthcare system. Method We designed a 5-year annual cycle Markov model with the following stages: remission, minor relapse, mayor relapse and death. Transition probabilities were obtained from a systematic review of the literature (Scopus and Pubmed). Following national guidelines for economic studies, costs (in 2018, 1 euro = 3489 Colombian pesos) were estimated based on national drug registries, and official tariff manuals for procedures and other resources. Main outcome was quality-adjusted life years (QALY), using lupus nephropathy as a proxy; values were obtained from Tufts CEA Registry and validated by local expert panel through a modified Delphi technique. Cost-effectiveness threshold was three-times per capita GDP (16.872 euros). Discount rate was 5%. Univariate and probabilistic sensitivity analyses were performed. Results Overall discounted 5-years costs were € 1149 for azathioprine; € 4025 for tailored rituximab and € 5221 for fixed rituximab. QALY gains were 2.94, 3.63 and 3.64, respectively. Both tailored and fixed rituximab were cost-effective (cost per QALY gained: € 4168 and € 5817 respectively), but tailored dosing was preferable due to its lower cost. Sensitivity analyses did not modify these results significantly. Conclusion To our knowledge this is the first economic evaluation that compare azathioprine with tailored and fixed rituximab regimens as a vasculitis maintenance treatment in adults with ANCA generalized. Due to its lower effectiveness azathioprine should not be the first line of treatment. Tailored rituximab should be a better option than fixed schedule due to its lower cost with similar effectiveness.


2019 ◽  
Author(s):  
Jifan Wang(New Corresponding Author) ◽  
Michelle A. Lee Bravatti ◽  
Elizabeth J. Johnson ◽  
Gowri Raman(Former Corresponding Author)

Abstract Objectives Heart disease is the leading cause of death in the United States. The U.S. Food and Drug Administration approved the health claim that 1.5 ounces (42.5 grams) of nut intake may reduce the risk of cardiovascular disease (CVD). Previous studies have focused on the cost-effectiveness of other foods or dietary factors on primary CVD prevention, yet not in almond consumption. This study aimed to examine the cost-effectiveness of almond consumption in CVD primary prevention. Perspective & Setting This study assessed the cost-effectiveness of consuming 42.5 grams of almond from the U.S. healthcare sector perspective. Methods A decision model was developed for 42.5 grams of almond per day versus no almond consumption and CVD in the U.S. population. Parameters in the model were derived from the literature, which included the probabilities of increasing LDL-C, developing acute myocardial infarction (MI) and stroke, treating MI, dying from the disease and surgery, as well as the costs of the disease and procedures in the U.S. population, and the quality-adjusted life years (QALY). The cost of almonds was based on the current price in the U.S. market. Sensitivity analyses were conducted for different levels of willingness-to-pay, the probabilistic sensitivity analysis, ten-year risk prevention, different costs of procedures and almond prices, and patients with or without CVD. Results The almond strategy had $363 lower cost and 0.02 higher QALY gain compared to the non-almond strategy in the base-case model. The annual net monetary benefit (NMB) of almond consumption was $1,421 higher per person than no almond consumption, when the willingness to pay threshold was set at $50,000 for annual health care expenditure. Almond was more cost-effective than non-almond in CVD prevention in all the sensitivity analyses. Conclusion Consuming 42.5 grams of almonds per day is a cost-effective approach to prevent CVD in the short term and potentially in the long term.


2014 ◽  
Vol 3 ◽  
Author(s):  
Carina Bektur ◽  
Talgat Nurgozhin

Introduction. Bone mass loss (BML) is one of the adverse effects of oncological chemotherapy, especially in cases of hormonal types of cancer, such as a prostate cancer (PC). BML is strongly associated with skeletal-related events (SREs), therefore decreasing the quality of patient’s life. Denosumab shows an advantage over zoledronic acid (ZA) in delaying the first onset of SREs and subsequent SREs in adults with PC in several phase III clinical trials. Since generic ZA recently became available, the purpose of the present study was to assess the cost-effectiveness of denosumab vs. brand or generic ZA in the prevention of SREs in Kazakhstani patients with PC.Methods. A Markov model was constructed in Tree-Age Pro 2013 software program with 4-week model cycles to analyze the cost-effectiveness of the treatments from the perspective of Ministry of Health (MoH) over a 10-year PC cohort. Direct costs (in Kazakhstani monetary units “tenge” in 2014) included costs of drug, SRE (pathologic fracture, surgery to bone, radiation to bone, spinal cord compression), and adverse events treatment. All costs were discounted for 3% per year. Effectiveness was appraised based on the number of SREs. Health states were defined according to SRE occurrence, SRE history, and death. The model assumed that a maximum of 1 SRE could occur in each cycle. Transition probabilities were derived from the relevant phase III trials. Results were present in the incremental total cost per SRE avoided. One-way sensitivity analyses were performed to examine the robustness of the model.Results. Over the 10-year period, denosumab incurred 103,091 tenge higher costs than brand ZA, 677,133 tenge higher costs than generic ZA, and 0.58 fewer SREs per patient with PC. The estimated incremental total direct costs per SRE avoided with the use of denosumab were 177,743 tenge (instead of brand ZA) and 1,167,470 tenge (instead of generic ZA). Results were robust to one-way sensitivity analyses.Conclusions.With the assumption that brand and generic ZAs are equally effective in the prevention of SREs in PC patients, denosumab seems to be a cost-effective alternative for brand ZA (insignificant difference in costs – less than 5%) and a costly alternative for generic ZA from the perspective of MoH of Kazakhstan.


2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e20504-e20504 ◽  
Author(s):  
Jiaqi Han ◽  
Huabin Hu ◽  
Mengting Liao ◽  
Longjiang She ◽  
Linli Yao ◽  
...  

e20504 Background: Patients with advanced non-small cell lung cancer (NSCLC) harbouring an epidermal growth factor receptor (EGFR) mutation have improved survival with tyrosine kinase inhibitor (TKI) treatments, but the economic efficiency of this application is unclear, especially in limited health resource settings. To inform policy makers about the value of these medications, we developed a Markov model to compare the cost-effectiveness of these strategies. Methods: A Markov model was developed to compare the cost-effectiveness of chemotherapy, gefitinib, erlotinib, afatinib and osimertinib treatments from a public payers’ perspective in the U.S and China. Health states consisted of progression-free survival, progressive disease, and death. Model transition, adverse event probabilities, disease progression, and death were obtained from randomized clinical trials and network meta-analysis. Costs, quality-adjusted life-years (QALYs) and incremental cost-effectiveness ratios (ICERs) over a 10-year lifetime horizon were calculated. One-way and probabilistic sensitivity analyses were performed by multiple potentially modifiable parameters. Results: The tyrosine kinase inhibitors were more cost-effective than chemotherapy treatment in both the U.S and China. In the U.S, compared with erlotinib, afatinib had an ICER of $241,420/QALY while osimertinib had an ICER of $351,315/QALY. In China, the incremental utility for osimertinib versus gefitinib was 0.68QALYs, and the ICER was $25,622/QALY. The probability sensitivity analyses also illustrated that the erlotinib was the optimal treatment at a willingness-to-pay (WTP) threshold of $150,000/QALY in the U.S and osimertinib was the most cost-effective treatment at a WTP of $26,508/QALY in China. Conclusions: Based on our current analysis, erlotinib appears to be the preferred first-line treatment for advanced EGFR mutation-positive NSCLC patients in the US at a WTP of $150,000/QALY. However, because of the price reduction and more health benefits, osimertinib was considered to be most cost-effective at a WTP of $26,508/QALY in China.


2006 ◽  
Vol 22 (4) ◽  
pp. 469-477 ◽  
Author(s):  
Patrik Sobocki ◽  
Mattias Ekman ◽  
Hans Ågren ◽  
Bengt Jönsson ◽  
Clas Rehnberg

Objectives: The objective of this study was to develop a model to assess the cost-effectiveness of a new treatment for patients with depression.Methods: A Markov simulation model was constructed to evaluate standard care for depression as performed in clinical practice compared with a new treatment for depression. Costs and effects were estimated for time horizons of 6 months to 5 years. A naturalistic longitudinal observational study provided data on costs, quality of life, and transition probabilities. Data on long-term consequences of depression and mortality risks were collected from the literature. Cost-effectiveness was quantified as quality-adjusted life-years (QALYs) gained from the new treatment compared with standard care, and the societal perspective was taken. Probabilistic analyses were conducted to present the uncertainty in the results, and sensitivity analyses were conducted on key parameters used in the model.Results: Compared with standard care, the new hypothetical therapy was predicted to substantially decrease costs and was also associated with gains in QALYs. With an improved treatment effect of 50 percent on achieving full remission, the net cost savings were 20,000 Swedish kronor over a 5-year follow-up time, given equal costs of treatments. Patients gained .073 QALYs over 5 years. The results are sensitive to changes in assigned treatment effects.Conclusions: The present study provides a new model for assessing the cost-effectiveness of treatments for depression by incorporating full remission as the treatment goal and QALYs as the primary outcome measure. Moreover, we show the usefulness of naturalistic real-life data on costs and quality of life and transition probabilities when modeling the disease over time.


2021 ◽  
pp. 1730-1741
Author(s):  
Yoanna Pumpalova ◽  
Alexandra M. Rogers ◽  
Sarah Xinhui Tan ◽  
Candice-lee Herbst ◽  
Paul Ruff ◽  
...  

PURPOSE Cancer incidence is rising in low- and middle-income countries, where resource constraints often complicate therapeutic decisions. Here, we perform a cost-effectiveness analysis to identify the optimal adjuvant chemotherapy strategy for patients with stage III colon cancer treated in South African (ZA) public hospitals. METHODS A decision-analytic Markov model was developed to compare lifetime costs and outcomes for patients with stage III colon cancer treated with six adjuvant chemotherapy regimens in ZA public hospitals: fluorouracil, leucovorin, and oxaliplatin for 3 and 6 months; capecitabine and oxaliplatin (CAPOX) for 3 and 6 months; capecitabine for 6 months; and fluorouracil/leucovorin for 6 months. Transition probabilities were derived from clinical trials to estimate risks of toxicity, disease recurrence, and survival. Societal costs and utilities were obtained from literature. The primary outcome was the incremental cost-effectiveness ratio in international dollars (I$) per disability-adjusted life-year (DALY) averted, compared with no therapy, at a willingness-to-pay (WTP) threshold of I$13,006.56. RESULTS CAPOX for 3 months was cost-effective (I$5,381.17 and 5.74 DALYs averted) compared with no adjuvant chemotherapy. Fluorouracil, leucovorin, and oxaliplatin for 6 months was on the efficiency frontier with 5.91 DALYs averted but, with an incremental cost-effectiveness ratio of I$99,021.36/DALY averted, exceeded the WTP threshold. CONCLUSION In ZA public hospitals, CAPOX for 3 months is the cost-effective adjuvant treatment for stage III colon cancer. The optimal strategy in other settings may change according to local WTP thresholds. Decision analytic tools can play a vital role in selecting cost-effective cancer therapeutics in resource-constrained settings.


2020 ◽  
Author(s):  
Paolo Candio ◽  
David Meads ◽  
Andrew J. Hill ◽  
Laura Bojke

Abstract Objectives To assess the cost-effectiveness of a proportionate universal programme to reduce physical inactivity (Leeds Let’s Get Active) in adults. Methods A continuous-time Markov chain model was developed to assess the cost implications and QALY gains associated with increases in physical activity levels across the adult population. An ordered logistic model was specified to estimate the effectiveness of the Leeds Let’s Get Active programme and derive transition probabilities between physical activity categories. A parametric survival analysis approach was applied to estimate the decay of intervention effect over time. Baseline model data were obtained from previous economic models, population-based surveys and other published literature. A cost-utility analysis was conducted from a health care sector perspective over the programme duration (39 months). Scenario and probabilistic sensitivity analyses were performed to test the robustness of cost-effectiveness results. Results 51,874 adult residents registered to the programme and provided baseline data, 19.5% of which were living in deprived areas. Under base case assumptions, Leeds Let’s Get Active was found to be likely to be cost-effective. However, variations in key structural assumptions showed sensitivity of the results. Conclusions Evidence from this study suggests that a universal offer of access to free off-peak leisure centre-based exercise that targets hard to reach groups can provide good value for money. Further data collection is needed to reduce the uncertainty surrounding the decision.


2021 ◽  
Author(s):  
Jordi Piera-Jiménez ◽  
Anne Etzelmueller ◽  
Spyros Kolovos ◽  
Frans Folkvord ◽  
Francisco Lupiáñez-Villanueva

BACKGROUND Major depressive disorder (MDD) is a chronic condition whereby the prevalence is expected to grow with the aging trend of high-income countries. Internet-based cognitive-behavioral therapy (iCBT) has proven efficacy in treating MDD. OBJECTIVE The objective of this study was to assess the cost-effectiveness of implementing a community-based iCBT intervention (Super@, the Spanish program for the MasterMind project) for treating MDD. METHODS The cost-effectiveness of the Super@ program was assessed with the Monitoring and Assessment Framework for the European Innovation Partnership on Active and Healthy Ageing (MAFEIP) tool, using a 3-state Markov model. Data from the cost and effectiveness of the intervention were prospectively collected from the implementation of the program by a healthcare provider in Badalona (Spain); the corresponding data for usual care were gathered from the literature. The health states, transition probabilities, and utilities were computed using the scores of the patient health questionnaire 9 (PHQ-9). RESULTS The analysis was performed using data from 229 participants using the Super@ program. Results showed that the intervention was more costly than usual care; the 3%-discounted and non-discounted incremental cost-effectiveness ratios (ICERs) were € 29,367 and € 26,484 per quality-adjusted life-year (QALY), respectively. The intervention was cost-effective based on the 30K willingness-to-pay (WTP) threshold typically applied in Spain. According to the deterministic sensitivity analyses, the potential reduction of costs associated with intervention scale-up would reduce the ICER of the intervention, although it remained more costly than usual care. A discount in the incremental effects up to 5% exceeded the WTP threshold of 30K. CONCLUSIONS The Super@ program, an iCBT intervention for treating MDD, was more costly than TAU. Still, its implementation in Spain would be cost-effective from the healthcare and societal perspective at a WTP threshold of 30K compared with TAU. CLINICALTRIAL Not applicable


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