Proactive therapeutic drug monitoring of adalimumab for pediatric Crohn's disease patients: A cost‐effectiveness analysis

Background and Aim Recent clinical findings showed proactive therapeutic drug monitoring (TDM) of adalimumab (ADL) to improve sustained remission rate in pediatric patients with Crohn's disease (CD). The present study aimed to evaluate the potential cost‐effectiveness of proactive versus reacti...

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Published inJournal of gastroenterology and hepatology Vol. 36; no. 9; pp. 2397 - 2407
Main Authors Yao, Jiaqi, Jiang, Xinchan, You, Joyce H S
Format Journal Article
LanguageEnglish
Published Australia Wiley Subscription Services, Inc 01.09.2021
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Abstract Background and Aim Recent clinical findings showed proactive therapeutic drug monitoring (TDM) of adalimumab (ADL) to improve sustained remission rate in pediatric patients with Crohn's disease (CD). The present study aimed to evaluate the potential cost‐effectiveness of proactive versus reactive TDM of ADL in pediatric patients with CD from the perspective of the US health‐care provider. Methods A Markov model was constructed to estimate outcomes of proactive versus reactive TDM of ADL in a hypothetical cohort of pediatric CD patients who were in remission on ADL maintenance treatment. Model inputs were derived from published literature and public data. Model outcomes included CD‐related direct medical cost and quality‐adjusted life‐years (QALYs). Sensitivity analyses were performed to examine the robustness of base‐case results. Results When compared with the reactive TDM group, the proactive TDM group saved 0.1960 QALYs at lower cost by USD2021 over a 3‐year time frame in base‐case analysis. One‐way sensitivity analysis showed the ADL drug cost to be the most influential factor. Probabilistic sensitivity analysis of 10 000 Monte‐Carlo simulations found the proactive TDM group to gain 0.1958 QALYs (95% confidence interval [CI] 0.1950–0.1966; P < 0.001) and save USD2037 (95%CI USD1943–2131; P < 0.001). Conclusions Proactive TDM for ADL seems to gain higher QALYs at lower cost in pediatric CD patients.
AbstractList Background and AimRecent clinical findings showed proactive therapeutic drug monitoring (TDM) of adalimumab (ADL) to improve sustained remission rate in pediatric patients with Crohn's disease (CD). The present study aimed to evaluate the potential cost‐effectiveness of proactive versus reactive TDM of ADL in pediatric patients with CD from the perspective of the US health‐care provider.MethodsA Markov model was constructed to estimate outcomes of proactive versus reactive TDM of ADL in a hypothetical cohort of pediatric CD patients who were in remission on ADL maintenance treatment. Model inputs were derived from published literature and public data. Model outcomes included CD‐related direct medical cost and quality‐adjusted life‐years (QALYs). Sensitivity analyses were performed to examine the robustness of base‐case results.ResultsWhen compared with the reactive TDM group, the proactive TDM group saved 0.1960 QALYs at lower cost by USD2021 over a 3‐year time frame in base‐case analysis. One‐way sensitivity analysis showed the ADL drug cost to be the most influential factor. Probabilistic sensitivity analysis of 10 000 Monte‐Carlo simulations found the proactive TDM group to gain 0.1958 QALYs (95% confidence interval [CI] 0.1950–0.1966; P < 0.001) and save USD2037 (95%CI USD1943–2131; P < 0.001).ConclusionsProactive TDM for ADL seems to gain higher QALYs at lower cost in pediatric CD patients.
Background and Aim Recent clinical findings showed proactive therapeutic drug monitoring (TDM) of adalimumab (ADL) to improve sustained remission rate in pediatric patients with Crohn's disease (CD). The present study aimed to evaluate the potential cost‐effectiveness of proactive versus reactive TDM of ADL in pediatric patients with CD from the perspective of the US health‐care provider. Methods A Markov model was constructed to estimate outcomes of proactive versus reactive TDM of ADL in a hypothetical cohort of pediatric CD patients who were in remission on ADL maintenance treatment. Model inputs were derived from published literature and public data. Model outcomes included CD‐related direct medical cost and quality‐adjusted life‐years (QALYs). Sensitivity analyses were performed to examine the robustness of base‐case results. Results When compared with the reactive TDM group, the proactive TDM group saved 0.1960 QALYs at lower cost by USD2021 over a 3‐year time frame in base‐case analysis. One‐way sensitivity analysis showed the ADL drug cost to be the most influential factor. Probabilistic sensitivity analysis of 10 000 Monte‐Carlo simulations found the proactive TDM group to gain 0.1958 QALYs (95% confidence interval [CI] 0.1950–0.1966; P < 0.001) and save USD2037 (95%CI USD1943–2131; P < 0.001). Conclusions Proactive TDM for ADL seems to gain higher QALYs at lower cost in pediatric CD patients.
Recent clinical findings showed proactive therapeutic drug monitoring (TDM) of adalimumab (ADL) to improve sustained remission rate in pediatric patients with Crohn's disease (CD). The present study aimed to evaluate the potential cost-effectiveness of proactive versus reactive TDM of ADL in pediatric patients with CD from the perspective of the US health-care provider. A Markov model was constructed to estimate outcomes of proactive versus reactive TDM of ADL in a hypothetical cohort of pediatric CD patients who were in remission on ADL maintenance treatment. Model inputs were derived from published literature and public data. Model outcomes included CD-related direct medical cost and quality-adjusted life-years (QALYs). Sensitivity analyses were performed to examine the robustness of base-case results. When compared with the reactive TDM group, the proactive TDM group saved 0.1960 QALYs at lower cost by USD2021 over a 3-year time frame in base-case analysis. One-way sensitivity analysis showed the ADL drug cost to be the most influential factor. Probabilistic sensitivity analysis of 10 000 Monte-Carlo simulations found the proactive TDM group to gain 0.1958 QALYs (95% confidence interval [CI] 0.1950-0.1966; P < 0.001) and save USD2037 (95%CI USD1943-2131; P < 0.001). Proactive TDM for ADL seems to gain higher QALYs at lower cost in pediatric CD patients.
Recent clinical findings showed proactive therapeutic drug monitoring (TDM) of adalimumab (ADL) to improve sustained remission rate in pediatric patients with Crohn's disease (CD). The present study aimed to evaluate the potential cost-effectiveness of proactive versus reactive TDM of ADL in pediatric patients with CD from the perspective of the US health-care provider.BACKGROUND AND AIMRecent clinical findings showed proactive therapeutic drug monitoring (TDM) of adalimumab (ADL) to improve sustained remission rate in pediatric patients with Crohn's disease (CD). The present study aimed to evaluate the potential cost-effectiveness of proactive versus reactive TDM of ADL in pediatric patients with CD from the perspective of the US health-care provider.A Markov model was constructed to estimate outcomes of proactive versus reactive TDM of ADL in a hypothetical cohort of pediatric CD patients who were in remission on ADL maintenance treatment. Model inputs were derived from published literature and public data. Model outcomes included CD-related direct medical cost and quality-adjusted life-years (QALYs). Sensitivity analyses were performed to examine the robustness of base-case results.METHODSA Markov model was constructed to estimate outcomes of proactive versus reactive TDM of ADL in a hypothetical cohort of pediatric CD patients who were in remission on ADL maintenance treatment. Model inputs were derived from published literature and public data. Model outcomes included CD-related direct medical cost and quality-adjusted life-years (QALYs). Sensitivity analyses were performed to examine the robustness of base-case results.When compared with the reactive TDM group, the proactive TDM group saved 0.1960 QALYs at lower cost by USD2021 over a 3-year time frame in base-case analysis. One-way sensitivity analysis showed the ADL drug cost to be the most influential factor. Probabilistic sensitivity analysis of 10 000 Monte-Carlo simulations found the proactive TDM group to gain 0.1958 QALYs (95% confidence interval [CI] 0.1950-0.1966; P < 0.001) and save USD2037 (95%CI USD1943-2131; P < 0.001).RESULTSWhen compared with the reactive TDM group, the proactive TDM group saved 0.1960 QALYs at lower cost by USD2021 over a 3-year time frame in base-case analysis. One-way sensitivity analysis showed the ADL drug cost to be the most influential factor. Probabilistic sensitivity analysis of 10 000 Monte-Carlo simulations found the proactive TDM group to gain 0.1958 QALYs (95% confidence interval [CI] 0.1950-0.1966; P < 0.001) and save USD2037 (95%CI USD1943-2131; P < 0.001).Proactive TDM for ADL seems to gain higher QALYs at lower cost in pediatric CD patients.CONCLUSIONSProactive TDM for ADL seems to gain higher QALYs at lower cost in pediatric CD patients.
Author Jiang, Xinchan
Yao, Jiaqi
You, Joyce H S
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Keywords Crohn's disease
cost-effectiveness analysis
adalimumab
therapeutic drug monitoring
pediatrics
Language English
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Snippet Background and Aim Recent clinical findings showed proactive therapeutic drug monitoring (TDM) of adalimumab (ADL) to improve sustained remission rate in...
Recent clinical findings showed proactive therapeutic drug monitoring (TDM) of adalimumab (ADL) to improve sustained remission rate in pediatric patients with...
Background and AimRecent clinical findings showed proactive therapeutic drug monitoring (TDM) of adalimumab (ADL) to improve sustained remission rate in...
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SubjectTerms adalimumab
Adalimumab - therapeutic use
Child
Cost-Benefit Analysis
cost‐effectiveness analysis
Crohn Disease - drug therapy
Crohn's disease
Drug Monitoring
Gastrointestinal Agents - therapeutic use
Humans
Markov chains
Monoclonal antibodies
Patients
Pediatrics
Remission
Remission (Medicine)
Sensitivity analysis
therapeutic drug monitoring
Title Proactive therapeutic drug monitoring of adalimumab for pediatric Crohn's disease patients: A cost‐effectiveness analysis
URI https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fjgh.15373
https://www.ncbi.nlm.nih.gov/pubmed/33326123
https://www.proquest.com/docview/2571042352
https://www.proquest.com/docview/2470627923
Volume 36
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