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Morris SA, Alsaidi AT, Verbyla A, Cruz A, Macfarlane C, Bauer J, Patel JN. Cost Effectiveness of Pharmacogenetic Testing for Drugs with Clinical Pharmacogenetics Implementation Consortium (CPIC) Guidelines: A Systematic Review. Clin Pharmacol Ther 2022; 112:1318-1328. [PMID: 36149409 PMCID: PMC9828439 DOI: 10.1002/cpt.2754] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 09/17/2022] [Indexed: 01/31/2023]
Abstract
The objective of this study was to evaluate the evidence on cost-effectiveness of pharmacogenetic (PGx)-guided treatment for drugs with Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines. A systematic review was conducted using multiple biomedical literature databases from inception to June 2021. Full articles comparing PGx-guided with nonguided treatment were included for data extraction. Quality of Health Economic Studies (QHES) was used to assess robustness of each study (0-100). Data are reported using descriptive statistics. Of 108 studies evaluating 39 drugs, 77 (71%) showed PGx testing was cost-effective (CE) (N = 48) or cost-saving (CS) (N = 29); 21 (20%) were not CE; 10 (9%) were uncertain. Clopidogrel had the most articles (N = 23), of which 22 demonstrated CE or CS, followed by warfarin (N = 16), of which 7 demonstrated CE or CS. Of 26 studies evaluating human leukocyte antigen (HLA) testing for abacavir (N = 8), allopurinol (N = 10), or carbamazepine/phenytoin (N = 8), 15 demonstrated CE or CS. Nine of 11 antidepressant articles demonstrated CE or CS. The median QHES score reflected high-quality studies (91; range 48-100). Most studies evaluating cost-effectiveness favored PGx testing. Limited data exist on cost-effectiveness of preemptive and multigene testing across disease states.
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Affiliation(s)
- Sarah A. Morris
- Department of Cancer Pharmacology and PharmacogenomicsLevine Cancer Institute, Atrium HealthCharlotteNorth CarolinaUSA
| | | | - Allison Verbyla
- Health Economics and Outcomes Research, Department of BiostatisticsLevine Cancer Institute, Atrium HealthCharlotteNorth CarolinaUSA
| | - Adilen Cruz
- Health Economics and Outcomes Research, Department of BiostatisticsLevine Cancer Institute, Atrium HealthCharlotteNorth CarolinaUSA
| | | | - Joseph Bauer
- Health Economics and Outcomes Research, Department of BiostatisticsLevine Cancer Institute, Atrium HealthCharlotteNorth CarolinaUSA
| | - Jai N. Patel
- Department of Cancer Pharmacology and PharmacogenomicsLevine Cancer Institute, Atrium HealthCharlotteNorth CarolinaUSA
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Turongkaravee S, Jittikoon J, Rochanathimoke O, Boyd K, Wu O, Chaikledkaew U. Pharmacogenetic testing for adverse drug reaction prevention: systematic review of economic evaluations and the appraisal of quality matters for clinical practice and implementation. BMC Health Serv Res 2021; 21:1042. [PMID: 34600523 PMCID: PMC8487501 DOI: 10.1186/s12913-021-07025-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Accepted: 09/14/2021] [Indexed: 12/21/2022] Open
Abstract
Background Genetic testing has potential roles in identifying whether an individual would have risk of adverse drug reactions (ADRs) from a particular medicine. Robust cost-effectiveness results on genetic testing would be useful for clinical practice and policy decision-making on allocating resources effectively. This study aimed to update a systematic review on economic evaluations of pharmacogenetic testing to prevent ADRs and critically appraise the quality of reporting and sources of evidence for model input parameters. Methods We searched studies through Medline via PubMed, Scopus and CRD’s NHS Economic Evaluation up to October 2019. Studies investigating polymorphism-based pharmacogenetic testing, which guided drug therapies to prevent ADRs, using economic evaluation methods were included. Two reviewers independently performed data extraction and assessed the quality of reporting using the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) guidelines and the quality of data sources using the hierarchy of evidence developed by Cooper et al. Results Fifty-nine economic evaluations of pharmacogenetic testing to avoid drug-induced ADRs were found between 2002 and 2018. Cost-utility and cost-effectiveness analyses were the most common methods of economic evaluation of pharmacogenetic testing. Most studies complied with the CHEERS checklist, except for single study-based economic evaluations which did not report uncertainty analysis (78%). There was a lack of high-quality evidence not only for estimating the clinical effectiveness of pharmacogenetic testing, but also baseline clinical data. About 14% of the studies obtained clinical effectiveness data of testing from a meta-analysis of case-control studies with direct comparison, which was not listed in the hierarchy of evidence used. Conclusions Our review suggested that future single study-based economic evaluations of pharmacogenetic testing should report uncertainty analysis, as this could significantly affect the robustness of economic evaluation results. A specific ranking system for the quality of evidence is needed for the economic evaluation of pharmacogenetic testing of ADRs. Differences in parameters, methods and outcomes across studies, as well as population-level and system-level differences, may lead to the difficulty of comparing cost-effectiveness results across countries. Supplementary Information The online version contains supplementary material available at 10.1186/s12913-021-07025-8.
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Affiliation(s)
- Saowalak Turongkaravee
- Social, Economic and Administrative Pharmacy (SEAP) Graduate Program, Department of Pharmacy, Faculty of Pharmacy, Mahidol University, Bangkok, Thailand
| | - Jiraphun Jittikoon
- Department of Biochemistry, Faculty of Pharmacy, Mahidol University, Bangkok, Thailand
| | - Onwipa Rochanathimoke
- Social, Economic and Administrative Pharmacy (SEAP) Graduate Program, Department of Pharmacy, Faculty of Pharmacy, Mahidol University, Bangkok, Thailand
| | - Kathleen Boyd
- Health Economics and Health Technology Assessment (HEHTA), Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Olivia Wu
- Health Economics and Health Technology Assessment (HEHTA), Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Usa Chaikledkaew
- Social and Administrative Pharmacy Division, Department of Pharmacy, Faculty of Pharmacy, Mahidol University, 447 Sri-Ayuthaya Rd, Payathai, Ratchathewi, Bangkok, 10400, Thailand. .,Mahidol University Health Technology Assessment (MUHTA) Graduate Program, Mahidol University, Bangkok, Thailand.
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Pinna M, Manchia M, Pisanu C, Pinna F, Paribello P, Carta A, Meloni A, Conversano C, Del Zompo M, Mola F, Squassina A, Carpiniello B. Protocol for a pharmacogenetic study of antidepressants: characterization of drug-metabolizing profiles of cytochromes CYP2D6 and CYP2C19 in a Sardinian population of patients with major depressive disorder. Psychiatr Genet 2021; 31:186-193. [PMID: 34282075 DOI: 10.1097/ypg.0000000000000293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
The effectiveness of antidepressants shows high interindividual variability ranging from full symptomatologic remission to treatment-resistant depression. Many factors can determine the variation in the clinical response, but a fundamental role is played by genetic variation within the genes encoding for the enzymes most involved in the metabolism of antidepressant drugs: the CYP2D6 and CYP2C19 isoforms of the cytochrome P450 system. This study is poised to clarify whether the different metabolizing phenotypes related to CYP2D6 and CYP2C19 could have an impact on the clinical efficacy of antidepressants and whether the frequency of these phenotypes of metabolization shows differences in the population of Sardinian patients compared to other Caucasian populations. The sample is being recruited from patients followed-up and treated at the Psychiatric Unit of the Department of Medical Science and Public Health, University of Cagliari and the University Hospital Agency of Cagliari (Italy). The study design includes three approaches: (1) a pharmacogenetic analysis of 80 patients diagnosed with MDD resistant to antidepressant treatment compared to 80 clinically responsive or remitted patients; (2) a prospective arm (N = 30) of the study where we will test the impact of genetic variation within the CYP2D6 and CYP2C19 genes on clinical response to antidepressants and on their serum levels and (3) the assessment of the socio-economic impact of antidepressant therapies, and estimation of the cost-effectiveness of the pharmacogenetic test based on CYP genes.
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Affiliation(s)
- Marco Pinna
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Mirko Manchia
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
- Department of Pharmacology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Claudia Pisanu
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari
| | - Federica Pinna
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Pasquale Paribello
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Andrea Carta
- Department of Business and Economics, University of Cagliari
| | - Anna Meloni
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari
| | | | - Maria Del Zompo
- Unit of Clinical Pharmacology, University Hospital Agency of Cagliari
| | - Francesco Mola
- Department of Business and Economics, University of Cagliari
| | - Alessio Squassina
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari
| | - Bernardo Carpiniello
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
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Economic evaluation in psychiatric pharmacogenomics: a systematic review. THE PHARMACOGENOMICS JOURNAL 2021; 21:533-541. [PMID: 34215853 DOI: 10.1038/s41397-021-00249-1] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2020] [Revised: 06/08/2021] [Accepted: 06/17/2021] [Indexed: 01/31/2023]
Abstract
Nowadays, many relevant drug-gene associations have been discovered, but pharmacogenomics (PGx)-guided treatment needs to be cost-effective as well as clinically beneficial to be incorporated into standard health care. To address current challenges, this systematic review provides an update regarding previously published studies, which assessed the cost-effectiveness of PGx testing for the prescription of antidepressants and antipsychotics. From a total of 1159 studies initially identified by literature database querying, and after manual assessment and curation of all of them, a mere 18 studies met our inclusion criteria. Of the 18 studies evaluations, 16 studies (88.89%) drew conclusions in favor of PGx testing, of which 9 (50%) genome-guided interventions were cost-effective and 7 (38.9%) were less costly compared to standard treatment based on cost analysis. More precisely, supportive evidence exists for CYP2D6 and CYP2C19 drug-gene associations and for combinatorial PGx panels, but evidence is limited for many other drug-gene combinations. Amongst the limitations of the field are the unclear explanation of perspective and cost inputs, as well as the underreporting of study design elements, which can influence though the economic evaluation. Overall, the findings of this article demonstrate that although there is growing evidence on the cost-effectiveness of genome-guided interventions in psychiatric diseases, there is still a need for performing additional research on economic evaluations of PGx implementation with an emphasis on psychiatric disorders.
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Taranu A, Colle R, Gressier F, El Asmar K, Becquemont L, Corruble E, Verstuyft C. Should a routine genotyping of CYP2D6 and CYP2C19 genetic polymorphisms be recommended to predict venlafaxine efficacy in depressed patients treated in psychiatric settings? Pharmacogenomics 2017; 18:639-650. [PMID: 28480819 DOI: 10.2217/pgs-2017-0003] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
AIM The antidepressant venlafaxine (VEN) is metabolized by CYP2D6 and CYP2C19. The aim of this study was to assess the relevance of generalizing to daily practice the genotyping of CYP2D6 and CYP2C19 to predict VEN efficacy in depressed patients treated in psychiatric settings. PATIENTS & METHODS This study was nested in a naturalistic cohort, with 206 patients requiring a new antidepressant treatment and genotyped for CYP2D6 *3, *4, *5 del, *6, *2xN, *10, *41 and CYP2C19 *2, *3, *4, *5, *17 alleles. RESULTS CYP2D6 and CYP2C19 phenotypes were associated neither with the Hamilton depression rating scale score improvement, nor with response and remission. CONCLUSION Routine CYP2D6 and CYP2C19 genotyping cannot be recommended to predict VEN efficacy in depressed patients treated in psychiatry settings.
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Affiliation(s)
- Adela Taranu
- INSERM UMR1178, Team (Depression & Antidepressants), Faculté de Médecine Paris-Sud, Univ. Paris-Sud, Le Kremlin Bicêtre, France
| | - Romain Colle
- INSERM UMR1178, Team (Depression & Antidepressants), Faculté de Médecine Paris-Sud, Univ. Paris-Sud, Le Kremlin Bicêtre, France.,Service de Psychiatrie, Hôpital Bicêtre, Groupe Hospitalier Paris Sud, AP-HP, Le Kremlin Bicêtre, France
| | - Florence Gressier
- INSERM UMR1178, Team (Depression & Antidepressants), Faculté de Médecine Paris-Sud, Univ. Paris-Sud, Le Kremlin Bicêtre, France.,Service de Psychiatrie, Hôpital Bicêtre, Groupe Hospitalier Paris Sud, AP-HP, Le Kremlin Bicêtre, France
| | - Khalil El Asmar
- INSERM UMR1178, Team (Depression & Antidepressants), Faculté de Médecine Paris-Sud, Univ. Paris-Sud, Le Kremlin Bicêtre, France
| | - Laurent Becquemont
- INSERM UMR1178, Team (Depression & Antidepressants), Faculté de Médecine Paris-Sud, Univ. Paris-Sud, Le Kremlin Bicêtre, France.,Centre de Recherche Clinique (CRC), Hôpital Bicêtre, Groupe Hospitalier Paris Sud, AP-HP, Le Kremlin Bicêtre, France
| | - Emmanuelle Corruble
- INSERM UMR1178, Team (Depression & Antidepressants), Faculté de Médecine Paris-Sud, Univ. Paris-Sud, Le Kremlin Bicêtre, France.,Service de Psychiatrie, Hôpital Bicêtre, Groupe Hospitalier Paris Sud, AP-HP, Le Kremlin Bicêtre, France
| | - Céline Verstuyft
- INSERM UMR1178, Team (Depression & Antidepressants), Faculté de Médecine Paris-Sud, Univ. Paris-Sud, Le Kremlin Bicêtre, France.,Service de Génétique Moléculaire, Pharmacogénétique et Hormonologie, Hôpital Bicêtre, Groupe Hospitalier Paris Sud, AP-HP, Le Kremlin Bicêtre, France.,Centre de Ressources Biologiques, CRB Paris-Sud, Hôpital Bicêtre, Groupe Hospitalier Paris Sud, AP-HP, Le Kremlin Bicêtre, France
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