Utilize este identificador para referenciar este registo: https://hdl.handle.net/10316/104522
Título: A Universal Pharmacological-Based List of Drugs with Anticholinergic Activity
Autor: Lavrador, Marta 
Cabral, Ana C. 
Veríssimo, Manuel T. 
Fernandez-Llimos, Fernando 
Figueiredo, Isabel V. 
Castel-Branco, M. Margarida 
Palavras-chave: aged; anticholinergic burden; receptors; muscarinic; cholinergic antagonists; clinical practice
Data: 10-Jan-2023
Projeto: info:eu-repo/grantAgreement/FCT/POR_CENTRO/SFRH/BD/123678/2016/PT/Quantificação da carga anticolinérgica como preditor do aparecimento de resultados clínicos negativos no idoso – um contributo para a prática clínica 
Título da revista, periódico, livro ou evento: Pharmaceutics
Volume: 15
Número: 1
Resumo: Anticholinergic burden tools have relevant pharmacological gaps that may explain their limited predictive ability for clinical outcomes. The aim of this study was to provide a universal pharmacological-based list of drugs with their documented affinity for muscarinic receptors. A comprehensive literature review was performed to identify the anticholinergic burden tools. Drugs included in these instruments were searched in four pharmacological databases, and the investigation was supplemented with PubMed. The evidence regarding the potential antagonism of the five muscarinic receptors of each drug was assessed. The proportion of drugs included in the tools with an affinity for muscarinic receptors was evaluated. A universal list of drugs with anticholinergic activity was developed based on their documented affinity for the different subtypes of muscarinic receptors and their ability to cross the blood-brain barrier. A total of 23 tools were identified, including 304 different drugs. Only 48.68%, 47.70%, 48.03%, 43.75%, and 42.76% of the drugs had an affinity to the M1, M2, M3, M4, and M5 receptor, respectively, reported in any pharmacological database. The proportion of drugs with confirmed antagonism varied among the tools (36.8% to 100%). A universal pharmacological-based list of 133 drugs is presented. It should be further validated in different clinical settings.
URI: https://hdl.handle.net/10316/104522
ISSN: 1999-4923
DOI: 10.3390/pharmaceutics15010230
Direitos: openAccess
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