Literature DB >> 25616100

Economic evaluation of pharmacogenomic-guided warfarin treatment for elderly Croatian atrial fibrillation patients with ischemic stroke.

Christina Mitropoulou1, Vasilios Fragoulakis, Nada Bozina, Athanassios Vozikis, Svjetlana Supe, Tamara Bozina, Zdravka Poljakovic, Ron H van Schaik, George P Patrinos.   

Abstract

BACKGROUND &
METHODS: Economic evaluation in genomic medicine is an emerging discipline to assess the cost-effectiveness of genome-guided treatment. Here, we developed a pharmaco-economic model to assess whether pharmacogenomic (PGx)-guided warfarin treatment of elderly ischemic stroke patients with atrial fibrillation in Croatia is cost effective compared with non-PGx therapy. The time horizon of the model was set at 1 year.
RESULTS: Our primary analysis indicates that 97.07% (95% CI: 94.08-99.34%) of patients belonging to the PGx-guided group have not had any major complications, compared with the control group (89.12%; 95% CI: 84.00-93.87%, p < 0.05). The total cost per patient was estimated at €538.7 (95% CI: €526.3-551.2) for the PGx-guided group versus €219.7 (95% CI: €137.9-304.2) for the control group. In terms of quality-adjusted life-years (QALYs) gained, total QALYs was estimated at 0.954 (95% CI: 0.943-0.964) and 0.944 (95% CI: 0.931-0.956) for the PGx-guided and the control groups, respectively. The true difference in QALYs was estimated at 0.01 (95% CI: 0.005-0.015) in favor of the PGx-guided group. The incremental cost-effectiveness ratio of the PGx-guided versus the control groups was estimated at €31,225/QALY.
CONCLUSION: Overall, our data indicate that PGx-guided warfarin treatment may represent a cost-effective therapy option for the management of elderly patients with atrial fibrillation who developed ischemic stroke in Croatia.

Entities:  

Keywords:  atrial fibrillation; cost–effectiveness analysis; ischemic stroke; pharmacogenomics economic evaluation; warfarin

Mesh:

Substances:

Year:  2015        PMID: 25616100     DOI: 10.2217/pgs.14.167

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  9 in total

1.  Algorithm for predicting low maintenance doses of warfarin using age and polymorphisms in genes CYP2C9 and VKORC1 in Brazilian subjects.

Authors:  Aline de Oliveira Magalhães Mourão; Karina Braga Gomes; Edna Afonso Reis; Renan Pedra de Souza; Emílio Itamar de Freitas Campos; Daniel Dias Ribeiro; Manoel Otávio da Costa Rocha; Maria Auxiliadora Parreiras Martins
Journal:  Pharmacogenomics J       Date:  2019-08-09       Impact factor: 3.550

2.  Cost-effectiveness analysis of genotyping for HLA-B*15:02 in Indonesian patients with epilepsy using a generic model.

Authors:  Rika Yuliwulandari; Jae Gook Shin; Erna Kristin; Fransiscus D Suyatna; Iwan Dwi Prahasto; Kinasih Prayuni; Surakameth Mahasirimongkol; Larisa H Cavallari; Christina Mitropoulou; George P Patrinos; Jing Hao; Marc S Williams; Susan R Snyder
Journal:  Pharmacogenomics J       Date:  2021-04-06       Impact factor: 3.245

3.  Success stories in genomic medicine from resource-limited countries.

Authors:  Konstantinos Mitropoulos; Hayat Al Jaibeji; Diego A Forero; Paul Laissue; Ambroise Wonkam; Catalina Lopez-Correa; Zahurin Mohamed; Wasun Chantratita; Ming Ta Michael Lee; Adrian Llerena; Angela Brand; Bassam R Ali; George P Patrinos
Journal:  Hum Genomics       Date:  2015-06-18       Impact factor: 4.639

Review 4.  Cost-effectiveness of pharmacogenetic-guided treatment: are we there yet?

Authors:  M Verbelen; M E Weale; C M Lewis
Journal:  Pharmacogenomics J       Date:  2017-06-13       Impact factor: 3.550

Review 5.  Translating pharmacogenomics into clinical decisions: do not let the perfect be the enemy of the good.

Authors:  Kristi Krebs; Lili Milani
Journal:  Hum Genomics       Date:  2019-08-27       Impact factor: 4.639

6.  Pharmacogenetic testing for adverse drug reaction prevention: systematic review of economic evaluations and the appraisal of quality matters for clinical practice and implementation.

Authors:  Saowalak Turongkaravee; Jiraphun Jittikoon; Onwipa Rochanathimoke; Kathleen Boyd; Olivia Wu; Usa Chaikledkaew
Journal:  BMC Health Serv Res       Date:  2021-10-02       Impact factor: 2.655

7.  Experience with comprehensive pharmacogenomic multi-gene panel in clinical practice: a retrospective single-center study.

Authors:  Vid Matišić; Petar Brlek; Vilim Molnar; Eduard Pavelić; Martin Čemerin; Kristijan Vrdoljak; Andrea Skelin; Damir Erceg; Davor Moravek; Ivana Erceg Ivkošić; Dragan Primorac
Journal:  Croat Med J       Date:  2022-06-22       Impact factor: 2.415

8.  Economic evaluation in psychiatric pharmacogenomics: a systematic review.

Authors:  Kariofyllis Karamperis; Maria Koromina; Panagiotis Papantoniou; Maria Skokou; Filippos Kanellakis; Konstantinos Mitropoulos; Athanassios Vozikis; Daniel J Müller; George P Patrinos; Christina Mitropoulou
Journal:  Pharmacogenomics J       Date:  2021-07-02       Impact factor: 3.550

Review 9.  Use of pharmacogenomics in elderly patients treated for cardiovascular diseases.

Authors:  Nada Božina; Majda Vrkić Kirhmajer; Livija Šimičević; Lana Ganoci; Nikica Mirošević Skvrce; Iva Klarica Domjanović; Iveta Merćep
Journal:  Croat Med J       Date:  2020-04-30       Impact factor: 1.351

  9 in total

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