A pilot study to identify pharmacogenomic and clinical risk factors associated with opioid related falls and adverse effects in older adults

Given the high prevalence of pain in older adults and current trends in opioid prescribing, inclusion of genetic information in risk prediction tools may improve opioid risk assessment. Our objectives were to (1) determine the feasibility of recruiting socioeconomically disadvantaged and racially di...

Descripción completa

Detalles Bibliográficos
Autores principales: Sheikh, Sophia, Fernandez, Rosemarie, Smotherman, Carmen, Brailsford, Jennifer, Langaee, Taimour, Velasquez, Esteban, Henson, Morgan, Munson, Taylor, Bertrand, Andrew, Hendry, Phyllis, Anton, Stephen, Fillingim, Roger B., Cavallari, Larisa H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10651658/
https://www.ncbi.nlm.nih.gov/pubmed/37705211
http://dx.doi.org/10.1111/cts.13634
_version_ 1785136039469252608
author Sheikh, Sophia
Fernandez, Rosemarie
Smotherman, Carmen
Brailsford, Jennifer
Langaee, Taimour
Velasquez, Esteban
Henson, Morgan
Munson, Taylor
Bertrand, Andrew
Hendry, Phyllis
Anton, Stephen
Fillingim, Roger B.
Cavallari, Larisa H.
author_facet Sheikh, Sophia
Fernandez, Rosemarie
Smotherman, Carmen
Brailsford, Jennifer
Langaee, Taimour
Velasquez, Esteban
Henson, Morgan
Munson, Taylor
Bertrand, Andrew
Hendry, Phyllis
Anton, Stephen
Fillingim, Roger B.
Cavallari, Larisa H.
author_sort Sheikh, Sophia
collection PubMed
description Given the high prevalence of pain in older adults and current trends in opioid prescribing, inclusion of genetic information in risk prediction tools may improve opioid risk assessment. Our objectives were to (1) determine the feasibility of recruiting socioeconomically disadvantaged and racially diverse middle aged and older adult populations for a study seeking to identify risk factors for opioid‐related falls and other serious adverse effects and (2) explore potential associations between the Risk Index for Overdose or Serious Opioid‐induced Respiratory Depression (CIP‐RIOSORD) risk class and other patient factors with falls and serious opioid adverse effects. This was an observational study of 44 participants discharged home from the emergency department with an opioid prescription for acute pain and followed for 30 days. We found pain interference may predict opioid‐related falls or serious adverse effects within older, opioid‐treated patients. If validated, pain interference may prove to be a beneficial marker for risk stratification of older adults initiated on opioids for acute pain.
format Online
Article
Text
id pubmed-10651658
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-106516582023-09-19 A pilot study to identify pharmacogenomic and clinical risk factors associated with opioid related falls and adverse effects in older adults Sheikh, Sophia Fernandez, Rosemarie Smotherman, Carmen Brailsford, Jennifer Langaee, Taimour Velasquez, Esteban Henson, Morgan Munson, Taylor Bertrand, Andrew Hendry, Phyllis Anton, Stephen Fillingim, Roger B. Cavallari, Larisa H. Clin Transl Sci Research Given the high prevalence of pain in older adults and current trends in opioid prescribing, inclusion of genetic information in risk prediction tools may improve opioid risk assessment. Our objectives were to (1) determine the feasibility of recruiting socioeconomically disadvantaged and racially diverse middle aged and older adult populations for a study seeking to identify risk factors for opioid‐related falls and other serious adverse effects and (2) explore potential associations between the Risk Index for Overdose or Serious Opioid‐induced Respiratory Depression (CIP‐RIOSORD) risk class and other patient factors with falls and serious opioid adverse effects. This was an observational study of 44 participants discharged home from the emergency department with an opioid prescription for acute pain and followed for 30 days. We found pain interference may predict opioid‐related falls or serious adverse effects within older, opioid‐treated patients. If validated, pain interference may prove to be a beneficial marker for risk stratification of older adults initiated on opioids for acute pain. John Wiley and Sons Inc. 2023-09-19 /pmc/articles/PMC10651658/ /pubmed/37705211 http://dx.doi.org/10.1111/cts.13634 Text en © 2023 The Authors. Clinical and Translational Science published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research
Sheikh, Sophia
Fernandez, Rosemarie
Smotherman, Carmen
Brailsford, Jennifer
Langaee, Taimour
Velasquez, Esteban
Henson, Morgan
Munson, Taylor
Bertrand, Andrew
Hendry, Phyllis
Anton, Stephen
Fillingim, Roger B.
Cavallari, Larisa H.
A pilot study to identify pharmacogenomic and clinical risk factors associated with opioid related falls and adverse effects in older adults
title A pilot study to identify pharmacogenomic and clinical risk factors associated with opioid related falls and adverse effects in older adults
title_full A pilot study to identify pharmacogenomic and clinical risk factors associated with opioid related falls and adverse effects in older adults
title_fullStr A pilot study to identify pharmacogenomic and clinical risk factors associated with opioid related falls and adverse effects in older adults
title_full_unstemmed A pilot study to identify pharmacogenomic and clinical risk factors associated with opioid related falls and adverse effects in older adults
title_short A pilot study to identify pharmacogenomic and clinical risk factors associated with opioid related falls and adverse effects in older adults
title_sort pilot study to identify pharmacogenomic and clinical risk factors associated with opioid related falls and adverse effects in older adults
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10651658/
https://www.ncbi.nlm.nih.gov/pubmed/37705211
http://dx.doi.org/10.1111/cts.13634
work_keys_str_mv AT sheikhsophia apilotstudytoidentifypharmacogenomicandclinicalriskfactorsassociatedwithopioidrelatedfallsandadverseeffectsinolderadults
AT fernandezrosemarie apilotstudytoidentifypharmacogenomicandclinicalriskfactorsassociatedwithopioidrelatedfallsandadverseeffectsinolderadults
AT smothermancarmen apilotstudytoidentifypharmacogenomicandclinicalriskfactorsassociatedwithopioidrelatedfallsandadverseeffectsinolderadults
AT brailsfordjennifer apilotstudytoidentifypharmacogenomicandclinicalriskfactorsassociatedwithopioidrelatedfallsandadverseeffectsinolderadults
AT langaeetaimour apilotstudytoidentifypharmacogenomicandclinicalriskfactorsassociatedwithopioidrelatedfallsandadverseeffectsinolderadults
AT velasquezesteban apilotstudytoidentifypharmacogenomicandclinicalriskfactorsassociatedwithopioidrelatedfallsandadverseeffectsinolderadults
AT hensonmorgan apilotstudytoidentifypharmacogenomicandclinicalriskfactorsassociatedwithopioidrelatedfallsandadverseeffectsinolderadults
AT munsontaylor apilotstudytoidentifypharmacogenomicandclinicalriskfactorsassociatedwithopioidrelatedfallsandadverseeffectsinolderadults
AT bertrandandrew apilotstudytoidentifypharmacogenomicandclinicalriskfactorsassociatedwithopioidrelatedfallsandadverseeffectsinolderadults
AT hendryphyllis apilotstudytoidentifypharmacogenomicandclinicalriskfactorsassociatedwithopioidrelatedfallsandadverseeffectsinolderadults
AT antonstephen apilotstudytoidentifypharmacogenomicandclinicalriskfactorsassociatedwithopioidrelatedfallsandadverseeffectsinolderadults
AT fillingimrogerb apilotstudytoidentifypharmacogenomicandclinicalriskfactorsassociatedwithopioidrelatedfallsandadverseeffectsinolderadults
AT cavallarilarisah apilotstudytoidentifypharmacogenomicandclinicalriskfactorsassociatedwithopioidrelatedfallsandadverseeffectsinolderadults
AT sheikhsophia pilotstudytoidentifypharmacogenomicandclinicalriskfactorsassociatedwithopioidrelatedfallsandadverseeffectsinolderadults
AT fernandezrosemarie pilotstudytoidentifypharmacogenomicandclinicalriskfactorsassociatedwithopioidrelatedfallsandadverseeffectsinolderadults
AT smothermancarmen pilotstudytoidentifypharmacogenomicandclinicalriskfactorsassociatedwithopioidrelatedfallsandadverseeffectsinolderadults
AT brailsfordjennifer pilotstudytoidentifypharmacogenomicandclinicalriskfactorsassociatedwithopioidrelatedfallsandadverseeffectsinolderadults
AT langaeetaimour pilotstudytoidentifypharmacogenomicandclinicalriskfactorsassociatedwithopioidrelatedfallsandadverseeffectsinolderadults
AT velasquezesteban pilotstudytoidentifypharmacogenomicandclinicalriskfactorsassociatedwithopioidrelatedfallsandadverseeffectsinolderadults
AT hensonmorgan pilotstudytoidentifypharmacogenomicandclinicalriskfactorsassociatedwithopioidrelatedfallsandadverseeffectsinolderadults
AT munsontaylor pilotstudytoidentifypharmacogenomicandclinicalriskfactorsassociatedwithopioidrelatedfallsandadverseeffectsinolderadults
AT bertrandandrew pilotstudytoidentifypharmacogenomicandclinicalriskfactorsassociatedwithopioidrelatedfallsandadverseeffectsinolderadults
AT hendryphyllis pilotstudytoidentifypharmacogenomicandclinicalriskfactorsassociatedwithopioidrelatedfallsandadverseeffectsinolderadults
AT antonstephen pilotstudytoidentifypharmacogenomicandclinicalriskfactorsassociatedwithopioidrelatedfallsandadverseeffectsinolderadults
AT fillingimrogerb pilotstudytoidentifypharmacogenomicandclinicalriskfactorsassociatedwithopioidrelatedfallsandadverseeffectsinolderadults
AT cavallarilarisah pilotstudytoidentifypharmacogenomicandclinicalriskfactorsassociatedwithopioidrelatedfallsandadverseeffectsinolderadults

Ejemplares similares