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Yazbeck A, Akika R, Awada Z, Zgheib NK. Pharmacogenetic considerations in therapy with novel antiplatelet and anticoagulant agents. Pharmacogenet Genomics 2024; 34:61-72. [PMID: 38372412 DOI: 10.1097/fpc.0000000000000520] [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: 02/20/2024]
Abstract
Antiplatelets and anticoagulants are extensively used in cardiovascular medicine for the prevention and treatment of thrombosis in the venous and arterial circulations. Wide inter-individual variability has been observed in response to antiplatelets and anticoagulants, which triggered researchers to investigate the genetic basis of this variability. Data from extensive pharmacogenetic studies pointed to strong evidence of association between polymorphisms in candidate genes and the pharmacokinetics and pharmacodynamic action and clinical response of the antiplatelets clopidogrel and the anticoagulant warfarin. In this review, we conducted an extensive search on Medline for the time period of 2009-2023. We also searched the PharmGKB website for levels of evidence of variant-drug combinations and for drug labels and clinical guidelines. We focus on the pharmacogenetics of novel antiplatelets and anticoagulants while excluding acetylsalicylic acid, warfarin and heparins, and discuss the current knowledge with emphasis on the level of evidence.
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Affiliation(s)
| | - Reem Akika
- Department of Pharmacology and Toxicology, Faculty of Medicine, American University of Beirut, Beirut, Lebanon
| | - Zainab Awada
- Department of Pharmacology and Toxicology, Faculty of Medicine, American University of Beirut, Beirut, Lebanon
| | - Nathalie K Zgheib
- Department of Pharmacology and Toxicology, Faculty of Medicine, American University of Beirut, Beirut, Lebanon
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Fragoulakis V, Koufaki MI, Tzerefou K, Koufou K, Patrinos GP, Mitropoulou C. Assessing the utility of measurement methods applied in economic evaluations of pharmacogenomics applications. Pharmacogenomics 2024; 25:79-95. [PMID: 38288576 DOI: 10.2217/pgs-2023-0221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2024] Open
Abstract
An increasing number of economic evaluations are published annually investigating the economic effectiveness of pharmacogenomic (PGx) testing. This work was designed to provide a comprehensive summary of the available utility methods used in cost-effectiveness/cost-utility analysis studies of PGx interventions. A comprehensive review was conducted to identify economic analysis studies using a utility valuation method for PGx testing. A total of 82 studies met the inclusion criteria. A majority of studies were from the USA and used the EuroQol-5D questionnaire, as the utility valuation method. Cardiovascular disorders was the most studied therapeutic area while discrete-choice studies mainly focused on patients' willingness to undergo PGx testing. Future research in applying other methodologies in PGx economic evaluation studies would improve the current research environment and provide better results.
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Affiliation(s)
| | - Margarita-Ioanna Koufaki
- University of Patras, School of Health Sciences, Department of Pharmacy, Laboratory of Pharmacogenomics & Individualized Therapy, 26504, Rio, Patras, Greece
| | - Korina Tzerefou
- University of Piraeus, Economics Department, 18534, Piraeus, Greece
| | | | - George P Patrinos
- University of Patras, School of Health Sciences, Department of Pharmacy, Laboratory of Pharmacogenomics & Individualized Therapy, 26504, Rio, Patras, Greece
- United Arab Emirates University, College of Medicine & Health Sciences, Department of Genetics & Genomics, P.O. Box. 15551, Al-Ain, Abu Dhabi, United Arab Emirates
- United Arab Emirates University, Zayed Center for Health Sciences, P.O. Box. 15551, Al-Ain, Abu Dhabi, United Arab Emirates
| | - Christina Mitropoulou
- The Golden Helix Foundation, London, SE1 8RT, UK
- United Arab Emirates University, Zayed Center for Health Sciences, P.O. Box. 15551, Al-Ain, Abu Dhabi, United Arab Emirates
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Jang JS, Jung HW. Examining the factors associated with inpatients' perception of overtreatment in Korea: a cross-sectional study. BMC Health Serv Res 2023; 23:633. [PMID: 37316854 DOI: 10.1186/s12913-023-09563-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 05/16/2023] [Indexed: 06/16/2023] Open
Abstract
BACKGROUND Patients' perception of receiving overtreatment can cause distrust in medical services. Unlike outpatients, inpatients are highly likely to receive many medical services without fully understanding their medical situation. This information asymmetry could prompt inpatients to perceive treatment as excessive. This study tested the hypothesis that there are systematic patterns in inpatients' perceptions of overtreatment. METHODS We examined determinant factors of inpatients' perception of overtreatment in a cross-sectional design that used data from the 2017 Korean Health Panel (KHP), a nationally representative survey. For sensitivity analysis, the concept of overtreatment was analyzed by dividing it into a broad meaning (any overtreatment) and a narrow meaning (strict overtreatment). We performed chi-square for descriptive statistics, and multivariate logistic regression with sampling weights employing Andersen's behavioral model. RESULTS There were 1,742 inpatients from the KHP data set that were included in the analysis. Among them, 347 (19.9%) reported any overtreatment and 77 (4.42%) reported strict overtreatment. Furthermore, we found that the inpatient's perception of overtreatment was associated with gender, marital status, income level, chronic disease, subjective health status, health recovery, and general tertiary hospital. CONCLUSION Medical institutions should understand factors that contribute to inpatients' perception of overtreatment to mitigate patients' complaints due to information asymmetry. Moreover, based on the result of this study, government agencies, such as the Health Insurance Review and Assessment Service, should create policy-based controls and evaluate overtreatment behavior of the medical providers and intervene in the miscommunication between patients and providers.
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Affiliation(s)
- Jin Su Jang
- Human Behavior & Genetic Institute, Associate Research Center, Korea University, Seoul, Republic of Korea
| | - Hyun Woo Jung
- Department of Health Administration, Graduate School BK21 - Graduate Program of Developing Global Experts in Health Policy and Management, Yonsei University, Wonju, Korea.
- Division of Health Administration, College of Software and Digital Healthcare Convergence, Yonsei University, Yeonsedae-gil 1, Heungeop-myeon, Wonju-si, 26493, Gangwon-do, Republic of Korea.
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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: 38] [Impact Index Per Article: 19.0] [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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Sukri A, Salleh MZ, Masimirembwa C, Teh LK. A systematic review on the cost effectiveness of pharmacogenomics in developing countries: implementation challenges. THE PHARMACOGENOMICS JOURNAL 2022; 22:147-159. [PMID: 35319010 DOI: 10.1038/s41397-022-00272-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 02/16/2022] [Accepted: 03/01/2022] [Indexed: 01/02/2023]
Abstract
The major challenges that delay the implementation of pharmacogenomics based clinical practice in the developing countries, primarily the low- and middle-income countries need to be recognized. This review was conducted to systematically review evidence of the cost-effectiveness for the conduct of pharmacogenomics testing in the developing countries. Studies that evaluated the cost-effectiveness of pharmacogenomics testing in the developing countries as defined by the United Nations were included in this study. Twenty-seven articles met the criteria. Pharmacogenomics effectiveness were evaluated for drugs used in the treatment of cancers, cardiovascular diseases and severe cutaneous adverse reactions in gout and epilepsy. Most studies had reported pharmacogenomics testing to be cost-effective (cancers, cardiovascular diseases, and tuberculosis) and economic models were evaluated from multiple perspectives, different cost categories and time horizons. Additionally, most studies used a single gene, rather than a gene panel for the pharmacogenomics testing. Genotyping cost and frequency of risk alleles in the populations influence the cost-effectiveness outcome. Further studies are warranted to examine the clinical and economic validity of pharmacogenomics testing in the developing countries.
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Affiliation(s)
- Asif Sukri
- Integrative Pharmacogenomics Institute, Universiti Teknologi MARA Cawangan Selangor, Puncak Alam Campus, 42300, Puncak Alam, Selangor, Malaysia
| | - Mohd Zaki Salleh
- Integrative Pharmacogenomics Institute, Universiti Teknologi MARA Cawangan Selangor, Puncak Alam Campus, 42300, Puncak Alam, Selangor, Malaysia
| | - Collen Masimirembwa
- African Institute of Biomedical Science & Technology, Wilkins Hospital, Corner J Tongogara and R Tangwena, Harare, Zimbabwe
| | - Lay Kek Teh
- Integrative Pharmacogenomics Institute, Universiti Teknologi MARA Cawangan Selangor, Puncak Alam Campus, 42300, Puncak Alam, Selangor, Malaysia. .,Faculty of Pharmacy, Universiti Teknologi MARA Cawangan Selangor, Puncak Alam Campus, 42300, Puncak Alam, Selangor, Malaysia.
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Eljilany I, Elewa H, Al-Badriyeh D. Cost-Benefit Analysis of Genotype-Guided Interruption Days in Warfarin Pre-Procedural Management. Curr Probl Cardiol 2022; 48:101128. [PMID: 35114296 DOI: 10.1016/j.cpcardiol.2022.101128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Accepted: 01/25/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND Warfarin is commonly used in thromboembolic conditions. Warfarin interruption represents a significant challenge in pre-operative warfarin management as it is associated with major consequences. Genetics polymorphism demonstrated to be a significant predictor of the required days of warfarin interruption. This study sought to assess the economic benefit of implementing a pharmacogenetic-guided approach in the preprocedural warfarin management. METHODS From the hospital's perspective, a cost-benefit analysis was conducted based on a one-year decision-analytic follow-up model of the economic implications of using a pharmacogenetic algorithm versus standard of care in pre-operative warfarin management in the Hamad Medical Corporation, Qatar. The benefit of the interventional algorithm was based on estimated reduction in the probabilities of clinical events and their cost, added to the avoided cost because of canceled procedures. The cost of the algorithm was the cost of the genotyping assay. The model event probability inputs were extracted from major literature clinical trials, and the setting-specifc and cost inputs were locally obtained. The model was based on a multivariate analysis at its base case. RESULTS As per 10.3% prevalence of genetic variants, 82% bridging, and a calculated 20% optimization in the preparative period of warfarin management, the benefit to cost ratio was 4.0 in favor genotype-guided approach. This positive benefit to cost ratio was maintained in 100% of the simulated study cases. Sensitivity analyses confirmed the robustness and generalizability of the study conclusion. CONCLUSION A pharmacogenetic- guided pre-operative warfarin interruption management is a cost-beneficial approach in the Qatari practice.
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Affiliation(s)
- Islam Eljilany
- Department of Pharmacotherapy and Translation Research, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - Hazem Elewa
- College of Pharmacy, QU Health, Qatar University, Doha, Qatar; Department of Pharmacy, Al Wakra Hospital, Hamad Medical Corporation, Doha, Qatar
| | - Daoud Al-Badriyeh
- Department of Pharmacy, Al Wakra Hospital, Hamad Medical Corporation, Doha, Qatar.
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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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Nguyen VL, Nguyen HD, Cho YS, Kim HS, Han IY, Kim DK, Ahn S, Shin JG. Comparison of multivariate linear regression and a machine learning algorithm developed for prediction of precision warfarin dosing in a Korean population. J Thromb Haemost 2021; 19:1676-1686. [PMID: 33774911 DOI: 10.1111/jth.15318] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 03/19/2021] [Accepted: 03/22/2021] [Indexed: 01/10/2023]
Abstract
BACKGROUND Personalized warfarin dosing is influenced by various factors including genetic and non-genetic factors. Multiple linear regression (LR) is known as a conventional method to develop predictive models. Recently, machine learning approaches have been extensively implemented for warfarin dosing due to the hypothesis of non-linear association between covariates and stable warfarin dose. OBJECTIVE To extend the multiple linear regression algorithm for personalized warfarin dosing in a Korean population and compare with a machine learning--based algorithm. METHOD From this cohort study, we collected information on 650 patients taking warfarin who achieved steady state including demographic information, indications, comorbidities, comedications, habits, and genetic factors. The dataset was randomly split into training set (90%) and test set (10%). The LR and machine learning (gradient boosting machine [GBM]) models were developed on the training set and were evaluated on the test set. RESULT LR and GBM models were comparable in terms of accuracy of ideal dose (75.38% and 73.85%), correlation (0.77 and 0.73), mean absolute error (0.58 mg/day and 0.64 mg/day), and root mean square error (0.82 mg/day and 0.9 mg/day), respectively. VKORC1 genotype, CYP2C9 genotype, age, and weight were the highest contributors and could obtain 80% of maximum performance in both models. CONCLUSION This study shows that our LR and GMB models are satisfactory to predict warfarin dose in our dataset. Both models showed similar performance and feature contribution characteristics. LR may be the appropriate model due to its simplicity and interpretability.
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Affiliation(s)
- Van Lam Nguyen
- Department of Pharmacology and Pharmacogenomics Research Center, Inje University College of Medicine, Busan, Korea
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Korea
| | - Hoang Dat Nguyen
- Department of Pharmacology and Pharmacogenomics Research Center, Inje University College of Medicine, Busan, Korea
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Korea
| | - Yong-Soon Cho
- Department of Pharmacology and Pharmacogenomics Research Center, Inje University College of Medicine, Busan, Korea
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Korea
| | - Ho-Sook Kim
- Department of Pharmacology and Pharmacogenomics Research Center, Inje University College of Medicine, Busan, Korea
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Korea
| | - Il-Yong Han
- Department of Thoracic and Cardiovascular Surgery, Inje University Busan Paik Hospital, Busan, Korea
| | - Dae-Kyeong Kim
- Division of Cardiology, Department of Internal Medicine, Inje University Busan Paik Hospital, Busan, Korea
| | - Sangzin Ahn
- Department of Pharmacology and Pharmacogenomics Research Center, Inje University College of Medicine, Busan, Korea
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Korea
| | - Jae-Gook Shin
- Department of Pharmacology and Pharmacogenomics Research Center, Inje University College of Medicine, Busan, Korea
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Korea
- Department of Clinical Pharmacology, Inje University Bsuan Paik Hospital, Busan, Korea
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The gut microbes, Enterococcus and Escherichia-Shigella, affect the responses of heart valve replacement patients to the anticoagulant warfarin. Pharmacol Res 2020; 159:104979. [PMID: 32505835 DOI: 10.1016/j.phrs.2020.104979] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2020] [Revised: 05/24/2020] [Accepted: 05/26/2020] [Indexed: 02/07/2023]
Abstract
Numerous algorithms based on patient genetic variants have been established with the aim of reducing the risk of GI bleeding and thromboembolism during warfarin administration. However, approximately 35 % of individual warfarin sensitivity still remains unexplained. Few of warfarin algorithms take into account gut microbiota profiles. The identification of certain microbiome will provide new targets and new strategies for reducing the risk of bleeding and thromboembolism during warfarin administration. In this study, we collected plasma and stool samples from 200 inpatients undergoing heart valve replacement (HVR), which were classified as low responder (LR), high responder (HR) and normal responder (NR). Significant differences were observed in the diversity and relative abundance of the gut microbiota among the three groups. The genus Escherichia-Shigella was enriched significantly in the LRs (P = 3.189e-11), while the genus Enterococcus was enriched significantly in the HRs (P = 1.249e-11). The amount of VK2 synthesized by gut microbiota in LR group was much higher than that in HR group (P = 0.005). Whole genome shotgun sequencing indicated that the relative abundance of enzymes and modules associated with VK biosynthesis was significantly higher in LRs than in HRs or NRs. The 12 microbial markers were identified through tenfold cross-validation with a random forest model. The results provided a new microbial diagnostic model that can be used to inform modulation of warfarin dosage on the basis of patient intestinal flora composition.
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Zhang J, Zhou Q, Nelson G. Effect of Continuous Nursing Intervention of Artificial Intelligence on Discharged Patients after Heart Valve Replacement and Application of Omaha System (Preprint). JMIR Med Inform 2020. [DOI: 10.2196/18962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Zhu Y, Swanson KM, Rojas RL, Wang Z, St Sauver JL, Visscher SL, Prokop LJ, Bielinski SJ, Wang L, Weinshilboum R, Borah BJ. Systematic review of the evidence on the cost-effectiveness of pharmacogenomics-guided treatment for cardiovascular diseases. Genet Med 2019; 22:475-486. [PMID: 31591509 PMCID: PMC7056639 DOI: 10.1038/s41436-019-0667-y] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 09/23/2019] [Indexed: 02/08/2023] Open
Abstract
PURPOSE To examine the evidence on the cost-effectiveness of implementing pharmacogenomics (PGx) in cardiovascular disease (CVD) care. METHODS We conducted a systematic review using multiple databases from inception to 2018. The titles and abstracts of cost-effectiveness studies on PGx-guided treatment in CVD care were screened, and full texts were extracted. RESULTS We screened 909 studies and included 46 to synthesize. Acute coronary syndrome and atrial fibrillation were the predominantly studied conditions (59%). Most studies (78%) examined warfarin-CYP2C9/VKORC1 or clopidogrel-CYP2C19. A payer's perspective was commonly used (39%) for cost calculations, and most studies (46%) were US-based. The majority (67%) of the studies found PGx testing to be cost-effective in CVD care, but cost-effectiveness varied across drugs and conditions. Two studies examined PGx panel testing, of which one examined pre-emptive testing strategies. CONCLUSION We found mixed evidence on the cost-effectiveness of PGx in CVD care. Supportive evidence exists for clopidogrel-CYP2C19 and warfarin-CYP2C9/VKORC1, but evidence is limited in other drug-gene combinations. Gaps persist, including unclear explanation of perspective and cost inputs, underreporting of study design elements critical to economic evaluations, and limited examination of PGx panel and pre-emptive testing for their cost-effectiveness. This review identifies the need for further research on economic evaluations of PGx implementation.
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Affiliation(s)
- Ye Zhu
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA.,Division of Health Care Policy and Research, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Kristi M Swanson
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA
| | - Ricardo L Rojas
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Zhen Wang
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA.,Evidence-Based Practice Center, Mayo Clinic, Rochester, MN, USA
| | - Jennifer L St Sauver
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA.,Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Sue L Visscher
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA
| | - Larry J Prokop
- Library Public Services, Mayo Clinic, Rochester, MN, USA
| | - Suzette J Bielinski
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Liewei Wang
- Division of Clinical Pharmacology, Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA
| | - Richard Weinshilboum
- Division of Clinical Pharmacology, Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA
| | - Bijan J Borah
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA. .,Division of Health Care Policy and Research, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
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Algorithm for predicting low maintenance doses of warfarin using age and polymorphisms in genes CYP2C9 and VKORC1 in Brazilian subjects. THE PHARMACOGENOMICS JOURNAL 2019; 20:104-113. [PMID: 31395958 DOI: 10.1038/s41397-019-0091-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/11/2018] [Revised: 03/27/2019] [Accepted: 07/18/2019] [Indexed: 01/21/2023]
Abstract
Warfarin exhibits a wide variation in dose requirements. We sought to evaluate the association of polymorphisms CYP2C9*2 (rs1799853), CYP2C9*3 (rs1075910), and VKORC1-G1639A (rs9923231) and nongenetic factors with maintenance doses of warfarin <17.5 mg/week and to create an algorithm to predict drug sensitivity. This is a retrospective cohort study including 312 patients assisted at an anticoagulation clinic in Brazil. The mean age of participants was 60.4 ± 13.5 years and 59.9% were female. The logistic regression model included: age [odds ratio (OR) 1.03, 95% confidence interval (CI) 1.01-1.06], genotype VKORC1 AA (OR 31.61, 95% CI 11.20-100.15) and genotype CYP2C9 2/2, 2/3 or 3/3 (OR 16.48, 95% CI 3.37-81.79). The creation of our algorithm involved warfarin-experienced patients on stable doses, identifying factors associated with drug sensitivity. The validation of this algorithm allows its use in future populations to determine the initial dose distinguishing patients with dose requirements <17.5 mg and reducing time to achieve stable doses.
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Li X, Li D, Wu JC, Liu ZQ, Zhou HH, Yin JY. Precision dosing of warfarin: open questions and strategies. THE PHARMACOGENOMICS JOURNAL 2019; 19:219-229. [PMID: 30745565 DOI: 10.1038/s41397-019-0083-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2018] [Revised: 10/17/2018] [Accepted: 12/21/2018] [Indexed: 12/30/2022]
Abstract
Warfarin has a very narrow therapeutic window and obvious interindividual variability in its effects, with many factors contributing to the body's response. Algorithms incorporating multiple genetic, environment and clinical factors have been established to select a precision dose for each patient. A number of randomized controlled trials (RCTs) were conducted to explore whether patients could benefit from these algorithms; however, the results were inconsistent. Some questions remain to be resolved. Recently, new genetic and non-genetic factors have been discovered to contribute to variability in optimal warfarin doses. The results of further RCTs have been unveiled, and guidelines for pharmacogenetically guided warfarin dosing have been updated. Based on these most recent advancements, we summarize some open questions in this field and try to propose possible strategies to resolve them.
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Affiliation(s)
- Xi Li
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410008, P. R. China.,Institute of Clinical Pharmacology, Central South University; Hunan Key Laboratory of Pharmacogenetics, Changsha, 410078, P. R. China
| | - Dan Li
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410008, P. R. China.,Institute of Clinical Pharmacology, Central South University; Hunan Key Laboratory of Pharmacogenetics, Changsha, 410078, P. R. China
| | - Ji-Chu Wu
- Department of Cardiovascular, Central Hospital of Shaoyang, Shaoyang, 422000, P. R. China
| | - Zhao-Qian Liu
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410008, P. R. China.,Institute of Clinical Pharmacology, Central South University; Hunan Key Laboratory of Pharmacogenetics, Changsha, 410078, P. R. China
| | - Hong-Hao Zhou
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410008, P. R. China.,Institute of Clinical Pharmacology, Central South University; Hunan Key Laboratory of Pharmacogenetics, Changsha, 410078, P. R. China
| | - Ji-Ye Yin
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410008, P. R. China. .,Institute of Clinical Pharmacology, Central South University; Hunan Key Laboratory of Pharmacogenetics, Changsha, 410078, P. R. China. .,Hunan Provincial Gynecological Cancer Diagnosis and Treatment Engineering Research Center, Changsha, 410078, P. R. China.
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14
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Tse G, Gong M, Li G, Wong SH, Wu WKK, Wong WT, Roever L, Lee APW, Lip GYH, Wong MCS, Liu T. Genotype-guided warfarin dosing vs. conventional dosing strategies: a systematic review and meta-analysis of randomized controlled trials. Br J Clin Pharmacol 2018; 84:1868-1882. [PMID: 29704269 DOI: 10.1111/bcp.13621] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2018] [Revised: 04/03/2018] [Accepted: 04/17/2018] [Indexed: 12/20/2022] Open
Abstract
AIMS Previous trials on the effectiveness of genotype-guided warfarin dosing vs. conventional dosing have been inconclusive. We conducted a systematic review and meta-analysis of randomized trials comparing genotype-guided to conventional dosing strategies. METHODS PubMed and the Cochrane Library were searched up to 23 October 2017. RESULTS A total of 76 and 94 entries were retrieved were retrieved from PubMed and the Cochrane Library, respectively. A total of 2626 subjects in the genotype-guided dosing (mean age 63.3 ± 5.8 years; 46% male) and 2604 subjects in the conventional dosing (mean age 64.7 ± 6.1 years; 46% male) groups (mean follow-up duration 64 days) from 18 trials were included. Compared with conventional dosing, genotype-guided dosing significantly shortened the time to first therapeutic international normalized ratio (INR) (mean difference 2.6 days, standard error 0.3 days; P < 0.0001; I2 0%) and time to first stable INR (mean difference 5.9 days, standard error 2.0 days; P < 0.01; I2 94%). Genotype-guided dosing also increased the time in therapeutic range (mean difference 3.1%, standard error 1.2%; P < 0.01; I2 80%) and reduced the risks of both excessive anticoagulation, defined as INR ≥4 [risk ratio (RR) 0.87; 95% confidence interval (CI) 0.78, 0.98; P < 0.05; I2 : 0%), and bleeding (RR 0.82; 95% CI 0.69, 0.98; P < 0.05; I2 31%). No difference in thromboembolism (RR 0.84; 95% CI 0.56, 1.26; P = 0.40; I2 0%) or mortality (RR 1.16; 95% CI 0.46, 2.91; P = 0.76; I2 0%) was observed between the two groups. CONCLUSIONS Genotype-guided warfarin dosing offers better safety with less bleeding compared with conventional dosing strategies. No significant benefit on thromboembolism or mortality was evident.
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Affiliation(s)
- Gary Tse
- Department of Medicine and Therapeutics, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong, SAR, People's Republic of China.,Li Ka Shing Institute of Health Sciences, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong, SAR, People's Republic of China
| | - Mengqi Gong
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, 300211, People's Republic of China
| | - Guangping Li
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, 300211, People's Republic of China
| | - Sunny Hei Wong
- Department of Medicine and Therapeutics, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong, SAR, People's Republic of China.,Li Ka Shing Institute of Health Sciences, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong, SAR, People's Republic of China
| | - William K K Wu
- Li Ka Shing Institute of Health Sciences, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong, SAR, People's Republic of China.,Department of Anaesthesia and Intensive Care, State Key Laboratory of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, SAR, People's Republic of China
| | - Wing Tak Wong
- School of Life Sciences, Chinese University of Hong Kong, Hong Kong, SAR, People's Republic of China
| | - Leonardo Roever
- Department of Clinical Research, Federal University of Uberlândia, MG, Brazil
| | - Alex Pui Wai Lee
- Department of Medicine and Therapeutics, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong, SAR, People's Republic of China
| | - Gregory Y H Lip
- Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK.,Aalborg Thrombosis Research Unit, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Martin C S Wong
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, SAR, People's Republic of China.,State Key Laboratory of Digestive Disease, Chinese University of Hong Kong, Hong Kong, SAR, People's Republic of China
| | - Tong Liu
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, 300211, People's Republic of China
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15
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Tavares LC, Marcatto LR, Santos PCJL. Genotype-guided warfarin therapy: current status. Pharmacogenomics 2018; 19:667-685. [PMID: 29701078 DOI: 10.2217/pgs-2017-0207] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Warfarin pharmacogenomics has been an extensively studied field in the last decades as it is focused on personalized therapy to overcome the wide interpatient warfarin response variability and decrease the risk of side effects. In this expert review, besides briefly summarizing the current knowledge about warfarin pharmacogenetics, we also present an overview of recent studies that aimed to assess the efficacy, safety and economic issues related to genotype-based dosing algorithms used to guide warfarin therapy, including randomized and controlled clinical trials, meta-analyses and cost-effectiveness studies. To date, the findings still present disparities, mostly because of standard limitations. Thus, further studies should be encouraged to try to demonstrate the benefits of the application of warfarin pharmacogenomic dosing algorithms in clinical practice.
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Affiliation(s)
- Letícia C Tavares
- Laboratory of Genetics & Molecular Cardiology, Heart Institute (InCor), Faculdade de Medicina FMUSP, Universidade de Sao Paulo, SP 05403-900, Brazil
| | - Leiliane R Marcatto
- Laboratory of Genetics & Molecular Cardiology, Heart Institute (InCor), Faculdade de Medicina FMUSP, Universidade de Sao Paulo, SP 05403-900, Brazil
| | - Paulo C J L Santos
- Department of Pharmacology, Universidade Federal de Sao Paulo UNIFESP, SP 04044-020, Brazil
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