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Pharmacogenomic Profiling of Pediatric Patients on Psychotropic Medications in an Emergency Department

The aim of the study was to evaluate the ability of a combinatorial pharmacogenomic test to predict medication blood levels and relative clinical improvements in a selected pediatric population. METHODS: This study enrolled patients between ages 3 to 18 years who presented to a pediatric emergency d...

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Autores principales: Ghosh, Pallavi, Martinez, Jesse, Shah, Nipam, Kenan, Will, Fowler, Andrew, Limdi, Nita, Burns, Lindsey, Cogan, Elizabeth S., Gardiner, Anna, Hain, Daniel, Johnson, Holly, Lewis, David, Shelton, Richard, Liebelt, Erica
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9815804/
https://www.ncbi.nlm.nih.gov/pubmed/36413430
http://dx.doi.org/10.1097/PEC.0000000000002871
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author Ghosh, Pallavi
Martinez, Jesse
Shah, Nipam
Kenan, Will
Fowler, Andrew
Limdi, Nita
Burns, Lindsey
Cogan, Elizabeth S.
Gardiner, Anna
Hain, Daniel
Johnson, Holly
Lewis, David
Shelton, Richard
Liebelt, Erica
author_facet Ghosh, Pallavi
Martinez, Jesse
Shah, Nipam
Kenan, Will
Fowler, Andrew
Limdi, Nita
Burns, Lindsey
Cogan, Elizabeth S.
Gardiner, Anna
Hain, Daniel
Johnson, Holly
Lewis, David
Shelton, Richard
Liebelt, Erica
author_sort Ghosh, Pallavi
collection PubMed
description The aim of the study was to evaluate the ability of a combinatorial pharmacogenomic test to predict medication blood levels and relative clinical improvements in a selected pediatric population. METHODS: This study enrolled patients between ages 3 to 18 years who presented to a pediatric emergency department with acute psychiatric, behavioral, or mental health crisis and/or concerns, and had previously been prescribed psychotropic medications. Patients received combinatorial pharmacogenomic testing with medications categorized according to gene-drug interactions (GDIs); medications with a GDI were considered “incongruent,” and medications without a GDI were considered “congruent.” Blood levels for escitalopram, fluoxetine, aripiprazole, and clonidine were evaluated according to level of GDI. Relative clinical improvements in response to the prescribed psychotropic medications were measured using a parent-rated Clinical Global Impression of Improvement (CGI-I) assessment, where lower scores corresponded with greater improvement. RESULTS: Of the 100 patients enrolled, 73% reported taking ≥1 incongruent medication. There was no significant difference in CGI-I scores between patients prescribed congruent versus incongruent medications (3.37 vs 3.68, P = 0.343). Among patients who presented for depression or suicidal ideation, those prescribed congruent medications had significantly lower CGI-I scores compared with those taking incongruent medications (P = 0.036 for depression, P = 0.018 for suicidal ideation). There was a significant association between medication GDI and blood levels for aripiprazole (n = 15, P = 0.01) and escitalopram (n = 10, P = 0.01). CONCLUSIONS: Our preliminary findings suggest that combinatorial pharmacogenomic testing can predict medication blood levels and relative outcomes based on medication congruency in children presenting to an emergency department with acute psychiatric/behavioral crises. Additional studies will be needed to confirm these findings.
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spelling pubmed-98158042023-01-12 Pharmacogenomic Profiling of Pediatric Patients on Psychotropic Medications in an Emergency Department Ghosh, Pallavi Martinez, Jesse Shah, Nipam Kenan, Will Fowler, Andrew Limdi, Nita Burns, Lindsey Cogan, Elizabeth S. Gardiner, Anna Hain, Daniel Johnson, Holly Lewis, David Shelton, Richard Liebelt, Erica Pediatr Emerg Care Original Articles The aim of the study was to evaluate the ability of a combinatorial pharmacogenomic test to predict medication blood levels and relative clinical improvements in a selected pediatric population. METHODS: This study enrolled patients between ages 3 to 18 years who presented to a pediatric emergency department with acute psychiatric, behavioral, or mental health crisis and/or concerns, and had previously been prescribed psychotropic medications. Patients received combinatorial pharmacogenomic testing with medications categorized according to gene-drug interactions (GDIs); medications with a GDI were considered “incongruent,” and medications without a GDI were considered “congruent.” Blood levels for escitalopram, fluoxetine, aripiprazole, and clonidine were evaluated according to level of GDI. Relative clinical improvements in response to the prescribed psychotropic medications were measured using a parent-rated Clinical Global Impression of Improvement (CGI-I) assessment, where lower scores corresponded with greater improvement. RESULTS: Of the 100 patients enrolled, 73% reported taking ≥1 incongruent medication. There was no significant difference in CGI-I scores between patients prescribed congruent versus incongruent medications (3.37 vs 3.68, P = 0.343). Among patients who presented for depression or suicidal ideation, those prescribed congruent medications had significantly lower CGI-I scores compared with those taking incongruent medications (P = 0.036 for depression, P = 0.018 for suicidal ideation). There was a significant association between medication GDI and blood levels for aripiprazole (n = 15, P = 0.01) and escitalopram (n = 10, P = 0.01). CONCLUSIONS: Our preliminary findings suggest that combinatorial pharmacogenomic testing can predict medication blood levels and relative outcomes based on medication congruency in children presenting to an emergency department with acute psychiatric/behavioral crises. Additional studies will be needed to confirm these findings. Lippincott Williams & Wilkins 2023-01 2022-11-22 /pmc/articles/PMC9815804/ /pubmed/36413430 http://dx.doi.org/10.1097/PEC.0000000000002871 Text en Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Original Articles
Ghosh, Pallavi
Martinez, Jesse
Shah, Nipam
Kenan, Will
Fowler, Andrew
Limdi, Nita
Burns, Lindsey
Cogan, Elizabeth S.
Gardiner, Anna
Hain, Daniel
Johnson, Holly
Lewis, David
Shelton, Richard
Liebelt, Erica
Pharmacogenomic Profiling of Pediatric Patients on Psychotropic Medications in an Emergency Department
title Pharmacogenomic Profiling of Pediatric Patients on Psychotropic Medications in an Emergency Department
title_full Pharmacogenomic Profiling of Pediatric Patients on Psychotropic Medications in an Emergency Department
title_fullStr Pharmacogenomic Profiling of Pediatric Patients on Psychotropic Medications in an Emergency Department
title_full_unstemmed Pharmacogenomic Profiling of Pediatric Patients on Psychotropic Medications in an Emergency Department
title_short Pharmacogenomic Profiling of Pediatric Patients on Psychotropic Medications in an Emergency Department
title_sort pharmacogenomic profiling of pediatric patients on psychotropic medications in an emergency department
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9815804/
https://www.ncbi.nlm.nih.gov/pubmed/36413430
http://dx.doi.org/10.1097/PEC.0000000000002871
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