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A novel Artificial Intelligence-based tool to assess anticholinergic burden: a survey

BACKGROUND: many medications possess anticholinergic activity. Their use is associated with a number of serious adverse effects including cognitive effects. The cumulative anticholinergic effect of medications as assessed by tools such as the anticholinergic burden scale (AchB) can identify people p...

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Autores principales: Secchi, Agostina, Mamayusupova, Hulkar, Sami, Saber, Maidment, Ian, Coulton, Simon, Myint, Phyo Kyaw, Fox, Chris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9419503/
https://www.ncbi.nlm.nih.gov/pubmed/36029230
http://dx.doi.org/10.1093/ageing/afac196
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author Secchi, Agostina
Mamayusupova, Hulkar
Sami, Saber
Maidment, Ian
Coulton, Simon
Myint, Phyo Kyaw
Fox, Chris
author_facet Secchi, Agostina
Mamayusupova, Hulkar
Sami, Saber
Maidment, Ian
Coulton, Simon
Myint, Phyo Kyaw
Fox, Chris
author_sort Secchi, Agostina
collection PubMed
description BACKGROUND: many medications possess anticholinergic activity. Their use is associated with a number of serious adverse effects including cognitive effects. The cumulative anticholinergic effect of medications as assessed by tools such as the anticholinergic burden scale (AchB) can identify people particularly at risk of anticholinergic side-effects. Currently, >20 tools are available for clinicians to use, but there is no consensus on the most appropriate tool. METHODS: a newly created online tool—International Anticholinergic Cognitive Burden Tool (IACT)—based on natural language processing and chemical structure analysis, was developed and made available for clinicians to test its functions. We carried out a survey (between 8th of February and 31st of March 2021) to assess the overall need for an assessment tool as well as the usability of the IACT. RESULTS: a total of 110 responses were received from different countries and practitioners’ groups. The majority of the participants (86.11%) stated they would use a tool for AchB assessment if available and when they were asked to rate the IACT against other tools, amongst 34 responders, 20.59% rated it better and 8.82% rated it significantly better, 44.12% rated it neither better, nor worse, 14.71% rated it worse and 11.76% somewhat worse. CONCLUSION: there is a need for an anticholinergic burden calculator to assess the anticholinergicity of medications. Tools such as the IACT potentially could meet this demand due to its ability to assign scores to current and new medications appearing on the market based both on their chemical structure and reported adverse pharmacological effects.
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spelling pubmed-94195032022-08-29 A novel Artificial Intelligence-based tool to assess anticholinergic burden: a survey Secchi, Agostina Mamayusupova, Hulkar Sami, Saber Maidment, Ian Coulton, Simon Myint, Phyo Kyaw Fox, Chris Age Ageing Short Report BACKGROUND: many medications possess anticholinergic activity. Their use is associated with a number of serious adverse effects including cognitive effects. The cumulative anticholinergic effect of medications as assessed by tools such as the anticholinergic burden scale (AchB) can identify people particularly at risk of anticholinergic side-effects. Currently, >20 tools are available for clinicians to use, but there is no consensus on the most appropriate tool. METHODS: a newly created online tool—International Anticholinergic Cognitive Burden Tool (IACT)—based on natural language processing and chemical structure analysis, was developed and made available for clinicians to test its functions. We carried out a survey (between 8th of February and 31st of March 2021) to assess the overall need for an assessment tool as well as the usability of the IACT. RESULTS: a total of 110 responses were received from different countries and practitioners’ groups. The majority of the participants (86.11%) stated they would use a tool for AchB assessment if available and when they were asked to rate the IACT against other tools, amongst 34 responders, 20.59% rated it better and 8.82% rated it significantly better, 44.12% rated it neither better, nor worse, 14.71% rated it worse and 11.76% somewhat worse. CONCLUSION: there is a need for an anticholinergic burden calculator to assess the anticholinergicity of medications. Tools such as the IACT potentially could meet this demand due to its ability to assign scores to current and new medications appearing on the market based both on their chemical structure and reported adverse pharmacological effects. Oxford University Press 2022-08-27 /pmc/articles/PMC9419503/ /pubmed/36029230 http://dx.doi.org/10.1093/ageing/afac196 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the British Geriatrics Society. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Short Report
Secchi, Agostina
Mamayusupova, Hulkar
Sami, Saber
Maidment, Ian
Coulton, Simon
Myint, Phyo Kyaw
Fox, Chris
A novel Artificial Intelligence-based tool to assess anticholinergic burden: a survey
title A novel Artificial Intelligence-based tool to assess anticholinergic burden: a survey
title_full A novel Artificial Intelligence-based tool to assess anticholinergic burden: a survey
title_fullStr A novel Artificial Intelligence-based tool to assess anticholinergic burden: a survey
title_full_unstemmed A novel Artificial Intelligence-based tool to assess anticholinergic burden: a survey
title_short A novel Artificial Intelligence-based tool to assess anticholinergic burden: a survey
title_sort novel artificial intelligence-based tool to assess anticholinergic burden: a survey
topic Short Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9419503/
https://www.ncbi.nlm.nih.gov/pubmed/36029230
http://dx.doi.org/10.1093/ageing/afac196
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