A model to incorporate genetic testing (5-HTTLPR) in pharmacological treatment of major depressive disorders
Abstract Objective. To evaluate the benefit of pharmacogenetics in antidepressant treatment. Methods. In a simulated trial 100,000 subjects in a current episode of major depressive disorder (MDD) received citalopram or bupropion based on the clinician's decision (algorithm A) or following indic...
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| Vydáno v: | The world journal of biological psychiatry Ročník 12; číslo 7; s. 501 - 515 |
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| Hlavní autoři: | , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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England
Informa Healthcare
01.10.2011
Taylor & Francis |
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| ISSN: | 1562-2975, 1814-1412, 1814-1412 |
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| Abstract | Abstract
Objective. To evaluate the benefit of pharmacogenetics in antidepressant treatment. Methods. In a simulated trial 100,000 subjects in a current episode of major depressive disorder (MDD) received citalopram or bupropion based on the clinician's decision (algorithm A) or following indications from 5-HTTLPR genetic testing (algorithm B), which effect size of was estimated from a meta-analysis of pharmacogenetic trials. A and B were compared in a cost-utility analysis (12 weeks). Costs (international $, 2010) were drawn from official sources. Treatment effects were expressed as quality-adjusted life weeks (QALWs). Outcome was incremental cost-effectiveness ratio (ICER). Results. Under base-case conditions, genetic test use was associated with increases in antidepressant response (0.062 QALWs) and tolerability (0.016 QALWs) but cost benefit was not acceptable (ICER = $2,890; $1,800-$4,091). However, when the joint effect on antidepressant response and tolerability was analyzed in two recurrent episodes, ICER dropped to $1,392 ($837-$1,982). Cost-effectiveness acceptability curve (CEAC) showed a >80% probability that ICER value fell below the commonly accepted 3 times Gross Domestic Product (GDP) threshold (World Health Organization) and therefore suggesting cost-effectiveness. Conclusion. Notwithstanding some caveats (exclusion of gene-gene and gene-environment interactions; simple 5-HTTLPR architecture), this simulation is favourable to incorporate pharmacogenetic test in antidepressant treatment. |
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| AbstractList | To evaluate the benefit of pharmacogenetics in antidepressant treatment.OBJECTIVETo evaluate the benefit of pharmacogenetics in antidepressant treatment.In a simulated trial 100,000 subjects in a current episode of major depressive disorder (MDD) received citalopram or bupropion based on the clinician's decision (algorithm A) or following indications from 5-HTTLPR genetic testing (algorithm B), which effect size of was estimated from a meta-analysis of pharmacogenetic trials. A and B were compared in a cost-utility analysis (12 weeks). Costs (international $, 2010) were drawn from official sources. Treatment effects were expressed as quality-adjusted life weeks (QALWs). Outcome was incremental cost-effectiveness ratio (ICER).METHODSIn a simulated trial 100,000 subjects in a current episode of major depressive disorder (MDD) received citalopram or bupropion based on the clinician's decision (algorithm A) or following indications from 5-HTTLPR genetic testing (algorithm B), which effect size of was estimated from a meta-analysis of pharmacogenetic trials. A and B were compared in a cost-utility analysis (12 weeks). Costs (international $, 2010) were drawn from official sources. Treatment effects were expressed as quality-adjusted life weeks (QALWs). Outcome was incremental cost-effectiveness ratio (ICER).Under base-case conditions, genetic test use was associated with increases in antidepressant response (0.062 QALWs) and tolerability (0.016 QALWs) but cost benefit was not acceptable (ICER = $2,890; $1,800-$4,091). However, when the joint effect on antidepressant response and tolerability was analyzed in two recurrent episodes, ICER dropped to $1,392 ($837-$1,982). Cost-effectiveness acceptability curve (CEAC) showed a >80% probability that ICER value fell below the commonly accepted 3 times Gross Domestic Product (GDP) threshold (World Health Organization) and therefore suggesting cost-effectiveness.RESULTSUnder base-case conditions, genetic test use was associated with increases in antidepressant response (0.062 QALWs) and tolerability (0.016 QALWs) but cost benefit was not acceptable (ICER = $2,890; $1,800-$4,091). However, when the joint effect on antidepressant response and tolerability was analyzed in two recurrent episodes, ICER dropped to $1,392 ($837-$1,982). Cost-effectiveness acceptability curve (CEAC) showed a >80% probability that ICER value fell below the commonly accepted 3 times Gross Domestic Product (GDP) threshold (World Health Organization) and therefore suggesting cost-effectiveness.Notwithstanding some caveats (exclusion of gene-gene and gene-environment interactions; simple 5-HTTLPR architecture), this simulation is favourable to incorporate pharmacogenetic test in antidepressant treatment.CONCLUSIONNotwithstanding some caveats (exclusion of gene-gene and gene-environment interactions; simple 5-HTTLPR architecture), this simulation is favourable to incorporate pharmacogenetic test in antidepressant treatment. Abstract Objective. To evaluate the benefit of pharmacogenetics in antidepressant treatment. Methods. In a simulated trial 100,000 subjects in a current episode of major depressive disorder (MDD) received citalopram or bupropion based on the clinician's decision (algorithm A) or following indications from 5-HTTLPR genetic testing (algorithm B), which effect size of was estimated from a meta-analysis of pharmacogenetic trials. A and B were compared in a cost-utility analysis (12 weeks). Costs (international $, 2010) were drawn from official sources. Treatment effects were expressed as quality-adjusted life weeks (QALWs). Outcome was incremental cost-effectiveness ratio (ICER). Results. Under base-case conditions, genetic test use was associated with increases in antidepressant response (0.062 QALWs) and tolerability (0.016 QALWs) but cost benefit was not acceptable (ICER = $2,890; $1,800-$4,091). However, when the joint effect on antidepressant response and tolerability was analyzed in two recurrent episodes, ICER dropped to $1,392 ($837-$1,982). Cost-effectiveness acceptability curve (CEAC) showed a >80% probability that ICER value fell below the commonly accepted 3 times Gross Domestic Product (GDP) threshold (World Health Organization) and therefore suggesting cost-effectiveness. Conclusion. Notwithstanding some caveats (exclusion of gene-gene and gene-environment interactions; simple 5-HTTLPR architecture), this simulation is favourable to incorporate pharmacogenetic test in antidepressant treatment. To evaluate the benefit of pharmacogenetics in antidepressant treatment. In a simulated trial 100,000 subjects in a current episode of major depressive disorder (MDD) received citalopram or bupropion based on the clinician's decision (algorithm A) or following indications from 5-HTTLPR genetic testing (algorithm B), which effect size of was estimated from a meta-analysis of pharmacogenetic trials. A and B were compared in a cost-utility analysis (12 weeks). Costs (international $, 2010) were drawn from official sources. Treatment effects were expressed as quality-adjusted life weeks (QALWs). Outcome was incremental cost-effectiveness ratio (ICER). Under base-case conditions, genetic test use was associated with increases in antidepressant response (0.062 QALWs) and tolerability (0.016 QALWs) but cost benefit was not acceptable (ICER = $2,890; $1,800-$4,091). However, when the joint effect on antidepressant response and tolerability was analyzed in two recurrent episodes, ICER dropped to $1,392 ($837-$1,982). Cost-effectiveness acceptability curve (CEAC) showed a >80% probability that ICER value fell below the commonly accepted 3 times Gross Domestic Product (GDP) threshold (World Health Organization) and therefore suggesting cost-effectiveness. Notwithstanding some caveats (exclusion of gene-gene and gene-environment interactions; simple 5-HTTLPR architecture), this simulation is favourable to incorporate pharmacogenetic test in antidepressant treatment. Objective. To evaluate the benefit of pharmacogenetics in antidepressant treatment. Methods. In a simulated trial 100,000 subjects in a current episode of major depressive disorder (MDD) received citalopram or bupropion based on the clinician's decision (algorithm A) or following indications from 5-HTTLPR genetic testing (algorithm B), which effect size of was estimated from a meta-analysis of pharmacogenetic trials. A and B were compared in a cost-utility analysis (12 weeks). Costs (international $, 2010) were drawn from official sources. Treatment effects were expressed as quality-adjusted life weeks (QALWs). Outcome was incremental cost-effectiveness ratio (ICER). Results. Under base-case conditions, genetic test use was associated with increases in antidepressant response (0.062 QALWs) and tolerability (0.016 QALWs) but cost benefit was not acceptable (ICER = $2,890; $1,800-$4,091). However, when the joint effect on antidepressant response and tolerability was analyzed in two recurrent episodes, ICER dropped to $1,392 ($837-$1,982). Cost-effectiveness acceptability curve (CEAC) showed a >80% probability that ICER value fell below the commonly accepted 3 times Gross Domestic Product (GDP) threshold (World Health Organization) and therefore suggesting cost-effectiveness. Conclusion. Notwithstanding some caveats (exclusion of gene-gene and gene-environment interactions; simple 5-HTTLPR architecture), this simulation is favourable to incorporate pharmacogenetic test in antidepressant treatment. |
| Author | De Ronchi, Diana Serretti, Alessandro Olgiati, Paolo Bajo, Emanuele Bigelli, Marco |
| Author_xml | – sequence: 1 givenname: Alessandro surname: Serretti fullname: Serretti, Alessandro email: alessandro.serretti@unibo.it, alessandro.serretti@unibo.it organization: Institute of Psychiatry, University of Bologna – sequence: 2 givenname: Paolo surname: Olgiati fullname: Olgiati, Paolo email: alessandro.serretti@unibo.it, alessandro.serretti@unibo.it organization: Institute of Psychiatry, University of Bologna – sequence: 3 givenname: Emanuele surname: Bajo fullname: Bajo, Emanuele email: alessandro.serretti@unibo.it, alessandro.serretti@unibo.it organization: Department of Management, University of Bologna – sequence: 4 givenname: Marco surname: Bigelli fullname: Bigelli, Marco email: alessandro.serretti@unibo.it, alessandro.serretti@unibo.it organization: Department of Management, University of Bologna – sequence: 5 givenname: Diana surname: De Ronchi fullname: De Ronchi, Diana email: alessandro.serretti@unibo.it, alessandro.serretti@unibo.it organization: Institute of Psychiatry, University of Bologna |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/21595526$$D View this record in MEDLINE/PubMed |
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Objective. To evaluate the benefit of pharmacogenetics in antidepressant treatment. Methods. In a simulated trial 100,000 subjects in a current... Objective. To evaluate the benefit of pharmacogenetics in antidepressant treatment. Methods. In a simulated trial 100,000 subjects in a current episode of... To evaluate the benefit of pharmacogenetics in antidepressant treatment. In a simulated trial 100,000 subjects in a current episode of major depressive... To evaluate the benefit of pharmacogenetics in antidepressant treatment.OBJECTIVETo evaluate the benefit of pharmacogenetics in antidepressant treatment.In a... |
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| SubjectTerms | antidepressants Antidepressive Agents - economics Antidepressive Agents - therapeutic use Bupropion - economics Bupropion - therapeutic use Citalopram - economics Citalopram - therapeutic use Computer Simulation cost-benefit Cost-Benefit Analysis - methods Depression Depressive Disorder, Major - drug therapy Depressive Disorder, Major - economics Depressive Disorder, Major - genetics Genetic Testing - economics Humans Meta-Analysis as Topic Models, Psychological pharmacoeconomics pharmacogenetics Pharmacogenetics - economics Pharmacogenetics - methods Serotonin Plasma Membrane Transport Proteins |
| Title | A model to incorporate genetic testing (5-HTTLPR) in pharmacological treatment of major depressive disorders |
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