Medication Assessment in an Older Population during Acute Care Hospitalization and Its Effect on the Anticholinergic Burden: A Prospective Cohort Study

Author:

Espaulella-Ferrer Mariona12ORCID,Molist-Brunet Nuria13ORCID,Espaulella-Panicot Joan13ORCID,Sevilla-Sánchez Daniel4ORCID,Puigoriol-Juvanteny Emma56ORCID,Otero-Viñas Marta27ORCID

Affiliation:

1. Servei Territorial de Geriatria i Cures Pal·Liatives d’Osona i el Ripollés, Hospital Universitari de la Santa Creu de Vic, Hospital Universitari de Vic, 08500 Vic, Spain

2. Tissue Repair and Regeneration Laboratory (TR2Lab), Institut de Recerca i Innovació en Ciències de la Vida i de la Salut a la Catalunya Central (IRIS-CC), 08500 Vic, Spain

3. Central Catalonia Chronicity Research Group (C3RG), Institut de Recerca i Innovació en Ciències de la Vida i de la Salut a la Catalunya Central (IRIS-CC), 08500 Vic, Spain

4. Pharmacy Department, Parc Sanitari Pere Virgili, 08023 Barcelona, Spain

5. Epidemiology Department, Hospital Universitari de Vic, 08500 Vic, Spain

6. Multidisciplinary Inflamations Research Group (MIRG), Institut de Recerca i Innovació en Ciències de la Vida i de la Salut a la Catalunya Central (IRIS-CC), 08500 Vic, Spain

7. Faculty of Science, Technology and Engineering, University of Vic-Central University of Catalonia (UVic-UCC), 08500 Vic, Spain

Abstract

(1) Background: Anticholinergic and sedative drugs (ASDs) contribute to negative health outcomes, especially in the frail population. In this study, we aimed to assess whether frailty increases with anticholinergic burden and to evaluate the effects of medication reviews (MRs) on ASD regimens among patients attending an acute care for the elderly (ACE) unit. (2) Methods: A cohort study was conducted between June 2019 and October 2020 with 150 consecutive patients admitted to our ACE unit. Demographic, clinical, and pharmacological data were assessed. Frailty score was determined using the Frail-VIG index (FI-VIG), and ASD burden was quantified using the drug burden index (DBI). In addition, the MR was performed using the patient-centered prescription (PCP) model. We used a paired T-test to compare the DBI pre- and post-MR and univariate and multivariate regression to identify the factors associated with frailty. (3) Results: Overall, 85.6% (n = 128) of participants showed some degree of frailty (FI-VIG > 0.20) and 84% (n = 126) of patients received treatment with ASDs upon admission (pre-MR). As the degree of frailty increased, so did the DBI (p < 0.001). After the implementation of the MR through the application of the PCP model, a reduction in the DBI was noted (1.06 ± 0.8 versus 0.95 ± 0.7) (p < 0.001). After adjusting for covariates, the association between frailty and the DBI was apparent (OR: 11.42, 95% (CI: 2.77–47.15)). (4) Conclusions: A higher DBI was positively associated with frailty. The DBI decreased significantly in frail patients after a personalized MR. Thus, MRs focusing on ASDs are crucial for frail older patients.

Funder

FORES scholarship—Bayés Clinic and the Hestia research grant

Publisher

MDPI AG

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

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