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

Agostina Secchi, Hulkar Mamayusupova, Saber Sami, Simon Coulton, Ian Maidment, Phyo Kyaw Myint, Chris Fox* (Corresponding Author)

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
4 Downloads (Pure)

Abstract

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, more than 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- 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 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.
Original languageEnglish
Article numberafac196
Pages (from-to)1-4
Number of pages4
JournalAge and Ageing
Volume51
Issue number8
Early online date27 Aug 2022
DOIs
Publication statusPublished - 27 Aug 2022

Bibliographical note

Declaration of Sources of Funding: This work was funded by EIRA (Enabling Innovation: Research to Application) at UEA and Research England and Eastern AHSN.

Publisher Copyright:
© 2022 The Author(s). Published by Oxford University Press on behalf of the British Geriatrics Society.

Keywords

  • Artificial Intelligence
  • Cholinergic Antagonists
  • Drug-Related Side Effects and Adverse Reactions
  • Humans

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