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Integrating exome sequencing into a diagnostic pathway for epileptic encephalopathy: Evidence of clinical utility and cost effectiveness

BACKGROUND: Epileptic encephalopathies are a devastating group of neurological conditions in which etiological diagnosis can alter management and clinical outcome. Exome sequencing and gene panel testing can improve diagnostic yield but there is no cost‐effectiveness analysis of their use or consens...

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Autores principales: Palmer, Elizabeth E., Schofield, Deborah, Shrestha, Rupendra, Kandula, Tejaswi, Macintosh, Rebecca, Lawson, John A., Andrews, Ian, Sampaio, Hugo, Johnson, Alexandra M., Farrar, Michelle A., Cardamone, Michael, Mowat, David, Elakis, George, Lo, William, Zhu, Ying, Ying, Kevin, Morris, Paula, Tao, Jiang, Dias, Kerith‐Rae, Buckley, Michael, Dinger, Marcel E., Cowley, Mark J., Roscioli, Tony, Kirk, Edwin P., Bye, Ann, Sachdev, Rani K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5902395/
https://www.ncbi.nlm.nih.gov/pubmed/29314763
http://dx.doi.org/10.1002/mgg3.355
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author Palmer, Elizabeth E.
Schofield, Deborah
Shrestha, Rupendra
Kandula, Tejaswi
Macintosh, Rebecca
Lawson, John A.
Andrews, Ian
Sampaio, Hugo
Johnson, Alexandra M.
Farrar, Michelle A.
Cardamone, Michael
Mowat, David
Elakis, George
Lo, William
Zhu, Ying
Ying, Kevin
Morris, Paula
Tao, Jiang
Dias, Kerith‐Rae
Buckley, Michael
Dinger, Marcel E.
Cowley, Mark J.
Roscioli, Tony
Kirk, Edwin P.
Bye, Ann
Sachdev, Rani K.
author_facet Palmer, Elizabeth E.
Schofield, Deborah
Shrestha, Rupendra
Kandula, Tejaswi
Macintosh, Rebecca
Lawson, John A.
Andrews, Ian
Sampaio, Hugo
Johnson, Alexandra M.
Farrar, Michelle A.
Cardamone, Michael
Mowat, David
Elakis, George
Lo, William
Zhu, Ying
Ying, Kevin
Morris, Paula
Tao, Jiang
Dias, Kerith‐Rae
Buckley, Michael
Dinger, Marcel E.
Cowley, Mark J.
Roscioli, Tony
Kirk, Edwin P.
Bye, Ann
Sachdev, Rani K.
author_sort Palmer, Elizabeth E.
collection PubMed
description BACKGROUND: Epileptic encephalopathies are a devastating group of neurological conditions in which etiological diagnosis can alter management and clinical outcome. Exome sequencing and gene panel testing can improve diagnostic yield but there is no cost‐effectiveness analysis of their use or consensus on how to best integrate these tests into clinical diagnostic pathways. METHODS: We conducted a retrospective cost‐effectiveness study comparing trio exome sequencing with a standard diagnostic approach, for a well‐phenotyped cohort of 32 patients with epileptic encephalopathy, who remained undiagnosed after “first‐tier” testing. Sensitivity analysis was included with a range of commercial exome and multigene panels. RESULTS: The diagnostic yield was higher for the exome sequencing (16/32; 50%) than the standard arm (2/32; 6.2%). The trio exome sequencing pathway was cost‐effective compared to the standard diagnostic pathway with a cost saving of AU$5,236 (95% confidence intervals $2,482; $9,784) per additional diagnosis; the standard pathway cost approximately 10 times more per diagnosis. Sensitivity analysis demonstrated that the majority of commercial exome sequencing and multigene panels studied were also cost‐effective. The clinical utility of all diagnoses was reported. CONCLUSION: Our study supports the integration of exome sequencing and gene panel testing into the diagnostic pathway for epileptic encephalopathy, both in terms of cost effectiveness and clinical utility. We propose a diagnostic pathway that integrates initial rapid screening for treatable causes and comprehensive genomic screening. This study has important implications for health policy and public funding for epileptic encephalopathy and other neurological conditions.
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spelling pubmed-59023952018-04-24 Integrating exome sequencing into a diagnostic pathway for epileptic encephalopathy: Evidence of clinical utility and cost effectiveness Palmer, Elizabeth E. Schofield, Deborah Shrestha, Rupendra Kandula, Tejaswi Macintosh, Rebecca Lawson, John A. Andrews, Ian Sampaio, Hugo Johnson, Alexandra M. Farrar, Michelle A. Cardamone, Michael Mowat, David Elakis, George Lo, William Zhu, Ying Ying, Kevin Morris, Paula Tao, Jiang Dias, Kerith‐Rae Buckley, Michael Dinger, Marcel E. Cowley, Mark J. Roscioli, Tony Kirk, Edwin P. Bye, Ann Sachdev, Rani K. Mol Genet Genomic Med Original Articles BACKGROUND: Epileptic encephalopathies are a devastating group of neurological conditions in which etiological diagnosis can alter management and clinical outcome. Exome sequencing and gene panel testing can improve diagnostic yield but there is no cost‐effectiveness analysis of their use or consensus on how to best integrate these tests into clinical diagnostic pathways. METHODS: We conducted a retrospective cost‐effectiveness study comparing trio exome sequencing with a standard diagnostic approach, for a well‐phenotyped cohort of 32 patients with epileptic encephalopathy, who remained undiagnosed after “first‐tier” testing. Sensitivity analysis was included with a range of commercial exome and multigene panels. RESULTS: The diagnostic yield was higher for the exome sequencing (16/32; 50%) than the standard arm (2/32; 6.2%). The trio exome sequencing pathway was cost‐effective compared to the standard diagnostic pathway with a cost saving of AU$5,236 (95% confidence intervals $2,482; $9,784) per additional diagnosis; the standard pathway cost approximately 10 times more per diagnosis. Sensitivity analysis demonstrated that the majority of commercial exome sequencing and multigene panels studied were also cost‐effective. The clinical utility of all diagnoses was reported. CONCLUSION: Our study supports the integration of exome sequencing and gene panel testing into the diagnostic pathway for epileptic encephalopathy, both in terms of cost effectiveness and clinical utility. We propose a diagnostic pathway that integrates initial rapid screening for treatable causes and comprehensive genomic screening. This study has important implications for health policy and public funding for epileptic encephalopathy and other neurological conditions. John Wiley and Sons Inc. 2018-01-04 /pmc/articles/PMC5902395/ /pubmed/29314763 http://dx.doi.org/10.1002/mgg3.355 Text en © 2017 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Palmer, Elizabeth E.
Schofield, Deborah
Shrestha, Rupendra
Kandula, Tejaswi
Macintosh, Rebecca
Lawson, John A.
Andrews, Ian
Sampaio, Hugo
Johnson, Alexandra M.
Farrar, Michelle A.
Cardamone, Michael
Mowat, David
Elakis, George
Lo, William
Zhu, Ying
Ying, Kevin
Morris, Paula
Tao, Jiang
Dias, Kerith‐Rae
Buckley, Michael
Dinger, Marcel E.
Cowley, Mark J.
Roscioli, Tony
Kirk, Edwin P.
Bye, Ann
Sachdev, Rani K.
Integrating exome sequencing into a diagnostic pathway for epileptic encephalopathy: Evidence of clinical utility and cost effectiveness
title Integrating exome sequencing into a diagnostic pathway for epileptic encephalopathy: Evidence of clinical utility and cost effectiveness
title_full Integrating exome sequencing into a diagnostic pathway for epileptic encephalopathy: Evidence of clinical utility and cost effectiveness
title_fullStr Integrating exome sequencing into a diagnostic pathway for epileptic encephalopathy: Evidence of clinical utility and cost effectiveness
title_full_unstemmed Integrating exome sequencing into a diagnostic pathway for epileptic encephalopathy: Evidence of clinical utility and cost effectiveness
title_short Integrating exome sequencing into a diagnostic pathway for epileptic encephalopathy: Evidence of clinical utility and cost effectiveness
title_sort integrating exome sequencing into a diagnostic pathway for epileptic encephalopathy: evidence of clinical utility and cost effectiveness
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5902395/
https://www.ncbi.nlm.nih.gov/pubmed/29314763
http://dx.doi.org/10.1002/mgg3.355
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