Cost-utility analysis and cross-country comparison of pharmacogenomics-guided treatment in colorectal cancer patients participating in the U-PGx PREPARE study

被引:9
作者
Fragoulakis, Vasileios [1 ]
Roncato, Rossana [2 ]
Bignucolo, Alessia [2 ]
Patrinos, George P. [3 ,4 ,5 ]
Toffoli, Giuseppe [2 ]
Cecchin, Erika [2 ]
Mitropoulou, Christina [1 ,4 ]
机构
[1] Golden Helix Fdn, 91 Waterloo Rd,Capital Tower 6th Floor, London SE1 9RT, England
[2] Ctr Riferimento Oncol CRO, Aviano, Italy
[3] Univ Patras, Sch Hlth Sci, Dept Pharm, Lab Pharmacogen & Individualized Therapy, Patras, Greece
[4] United Arab Emirates Univ, Coll Med & Hlth Sci, Dept Genet & Genom, Abu Dhabi, U Arab Emirates
[5] United Arab Emirates Univ, Zayed Ctr Hlth Sci, Abu Dhabi, U Arab Emirates
基金
欧盟地平线“2020”;
关键词
Cost-utility analysis; Economic evaluation; Colorectal cancer; Adverse Drug Reactions; Fluoropyrimidines; Irinotecan; ADJUVANT CHEMOTHERAPY; COLON-CANCER; IRINOTECAN; THERAPY;
D O I
10.1016/j.phrs.2023.106949
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Objectives: A cost-utility analysis was conducted to evaluate pharmacogenomic (PGx)-guided treatment compared to the standard-of-care intervention among patients diagnosed with colorectal cancer (CRC) in Italy. Methods: Data derived from a prospective, open-label, block randomized clinical trial, as a part of the largest PGx study worldwide (355 patients in both arms) were used. Mortality was used as the primary health outcome to estimate life years (LYs) gained in treatment arms within a survival analysis context. PGx-guided treatment was based on established drug-gene interactions between capecitabine, 5-fluorouracil and irinotecan with DPYD and/ or UGT1A1 genomic variants. Utility values for the calculation of Quality Adjusted Life Year (QALY) was based on Visual Analog Scale (VAS) score. Missing data were imputed via the Multiple Imputation method and linear interpolation, when possible, while censored cost data were corrected via the Replace-From-The-Right algorithm. The Incremental Cost-Effectiveness Ratio (ICER) was calculated for QALYs. Raw data were bootstrapped 5000 times in order to produce 95% Confidence Intervals based on non-parametric percentile method and to construct a cost-effectiveness acceptability curve. Cost differences for study groups were investigated via a generalized linear regression model analysis. Total therapy cost per patient reflected all resources expended in the management of any adverse events, including medications, diagnostics tests, devices, surgeries, the utilization of intensive care units, and wards. Results: The total cost of the study arm was estimated at euro380 (similar to US$416; 95%CI: 195-596) compared to euro565 (similar to US$655; 95%CI: 340-724) of control arm while the mean survival in study arm was estimated at 1.58 (+0.25) LYs vs 1.50 (+0.26) (Log Rank test, X2 = 4.219, df=1, p-value=0.04). No statistically significant difference was found in QALYs. ICER was estimated at euro13418 (similar to US$14695) per QALY, while the acceptability curve indicated that when the willingness-to-pay was under euro5000 (similar to US$5476), the probability of PGx being cost-effective overcame 70%. The most frequent adverse drug event in both groups was neutropenia of severity grade 3 and 4, accounting for 82.6% of total events in the study arm and 65.0% in the control arm. Apart from study arm, smoking status, Body-Mass-Index and Cumulative Actionability were also significant predictors of total cost. Subgroup analysis conducted in actionable patients (7.9% of total patients) indicated that PGx-guided treatment was a dominant option over its comparator with a probability greater than 92%. In addition, a critical literature review was conducted, and these findings are in line with those reported in other European countries. Conclusion: PGx-guided treatment strategy may represent a cost-saving option compared to the existing conventional therapeutic approach for colorectal cancer patient management in the National Health Service of Italy.
引用
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页数:9
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共 29 条
  • [1] Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for Dihydropyrimidine Dehydrogenase Genotype and Fluoropyrimidine Dosing: 2017 Update
    Amstutz, Ursula
    Henricks, Linda M.
    Offer, Steven M.
    Barbarino, Julia
    Schellens, Jan H. M.
    Swen, Jesse J.
    Klein, Teri E.
    McLeod, Howard L.
    Caudle, Kelly E.
    Diasio, Robert B.
    Schwab, Matthias
    [J]. CLINICAL PHARMACOLOGY & THERAPEUTICS, 2018, 103 (02) : 210 - 216
  • [2] Pharmacogenomics decision support in the U-PGx project: Results and advice from clinical implementation across seven European countries
    Blagec, Kathrin
    Swen, Jesse J.
    Koopmann, Rudolf
    Cheung, Ka-Chun
    Crommentuijn-van Rhenen, Mandy
    Holsappel, Inge
    Konta, Lidija
    Ott, Simon
    Steinberger, Daniela
    Xu, Hong
    Cecchin, Erika
    Dolzan, Vita
    Davila-Fajardo, Cristina Lucia
    Patrinos, George P.
    Sunder-Plassmann, Gere
    Turner, Richard M.
    Pirmohamed, Munir
    Guchelaar, Henk-Jan
    Samwald, Matthias
    [J]. PLOS ONE, 2022, 17 (06):
  • [3] DPYD Genotyping to Predict Adverse Events Following Treatment With Fluorouracil-Based Adjuvant Chemotherapy in Patients With Stage III Colon Cancer A Secondary Analysis of the PETACC-8 Randomized Clinical Trial
    Boige, Valerie
    Vincent, Marc
    Alexandre, Philippe
    Tejpar, Sabine
    Landolfi, Stefania
    Le Malicot, Karine
    Greil, Richard
    Cuyle, Pieter Jan
    Yilmaz, Mette
    Faroux, Roger
    Matzdorff, Axel
    Salazar, Ramon
    Lepage, Come
    Taieb, Julien
    Laurent-Puig, Pierre
    [J]. JAMA ONCOLOGY, 2016, 2 (05) : 655 - 662
  • [4] Cost-effectiveness of DPYD Genotyping Prior to Fluoropyrimidine-based Adjuvant Chemotherapy for Colon Cancer
    Brooks, Gabriel A.
    Tapp, Stephanie
    Daly, Allan T.
    Busam, Jonathan A.
    Tosteson, Anna N. A.
    [J]. CLINICAL COLORECTAL CANCER, 2022, 21 (03) : E189 - E195
  • [5] The cost-effectiveness of UGT1A1 genotyping before colorectal cancer treatment with irinotecan from the perspective of the German statutory health insurance
    Butzke, Bettina
    Oduncu, Fuat S.
    Severin, Franziska
    Pfeufer, Arne
    Heinemann, Volker
    Giessen-Jung, Clemens
    Stollenwerk, Bjoern
    Rogowski, Wolf H.
    [J]. ACTA ONCOLOGICA, 2016, 55 (03) : 318 - 328
  • [6] Building Evidence for Clinical Use of Pharmacogenomics and Reimbursement for Testing
    Cavallari, Larisa H.
    Pratt, Victoria M.
    [J]. CLINICS IN LABORATORY MEDICINE, 2022, 42 (04) : 533 - 546
  • [7] Upfront Genotyping of DPYD*2A to Individualize Fluoropyrimidine Therapy: A Safety and Cost Analysis
    Deenen, Maarten J.
    Meulendijks, Didier
    Cats, Annemieke
    Sechterberger, Marjolein K.
    Severens, Johan L.
    Boot, Henk
    Smits, Paul H.
    Rosing, Hilde
    Mandigers, Caroline M. P. W.
    Soesan, Marcel
    Beijnen, Jos H.
    Schellens, Jan H. M.
    [J]. JOURNAL OF CLINICAL ONCOLOGY, 2016, 34 (03) : 227 - U77
  • [8] Personalizing Colon Cancer Adjuvant Therapy: Selecting Optimal Treatments for Individual Patients
    Dienstmann, Rodrigo
    Salazar, Ramon
    Tabernero, Josep
    [J]. JOURNAL OF CLINICAL ONCOLOGY, 2015, 33 (16) : 1787 - +
  • [9] Estimating the Effectiveness of DPYD Genotyping in Italian Individuals Suffering from Cancer Based on the Cost of Chemotherapy-Induced Toxicity
    Fragoulakis, Vasileios
    Roncato, Rossana
    Fratte, Chiara Dalle
    Ecca, Fabrizio
    Bartsakoulia, Marina
    Innocenti, Federico
    Toffoli, Giuseppe
    Cecchin, Erika
    Patrinos, George P.
    Mitropoulou, Christina
    [J]. AMERICAN JOURNAL OF HUMAN GENETICS, 2019, 104 (06) : 1158 - 1168
  • [10] Evidence Required to Demonstrate Clinical Utility of Pharmacogenetic Testing: The Debate Continues
    Gillis, N. K.
    Innocenti, F.
    [J]. CLINICAL PHARMACOLOGY & THERAPEUTICS, 2014, 96 (06) : 655 - 657