Evidence map›Paper›PMID 36100370›Full record

ArticleEuropean journal of hospital pharmacy : science and practice2024

Anticholinergic burden and revisit risk in frail patients with pharmacological sleepiness.

Jesus Ruiz-Ramos, Laia López-Vinardell, Leopoldo Higa-Sansone, Berta Torrecilla-Vall-LLossera, Mireia Puig-Campmany, Maria Antònia Mangues-Bafalluy, Ana Juanes-Borrego

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In one paragraph

Article in European journal of hospital pharmacy : science and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Jesus Ruiz-RamosPharmacy Department, Hospital Santa Creu i Sant Pau, Barcelona, Spain jrzrms@gmail.com.ORCID 0000-0002-0008-641X
Laia López-VinardellPharmacy Department, Hospital Santa Creu i Sant Pau, Barcelona, Spain.
Leopoldo Higa-SansoneEmergency Department, Hospital Santa Creu i Sant Pau, Barcelona, Spain.
Berta Torrecilla-Vall-LLosseraPharmacy Department, Hospital Santa Creu i Sant Pau, Barcelona, Spain.
Mireia Puig-CampmanyEmergency Department, Hospital Santa Creu i Sant Pau, Barcelona, Spain.
Maria Antònia Mangues-BafalluyPharmacy Department, Hospital Santa Creu i Sant Pau, Barcelona, Spain.
Ana Juanes-BorregoPharmacy Department, Hospital Santa Creu i Sant Pau, Barcelona, Spain.
Hospital de Sant Pau · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDrug-induced sleepiness is a frequent cause of emergency department (ED) visits for frail patients. The aim of this study was to assess the impact of anticholinergic burden on 90-day revisitation risk for frail patients who visit the ED due to drug-induced sleepiness.

methodsThis was a retrospective study in which patients treated at a fragility care area of an ED who sought consultation for drug-associated sleepiness from June 2020 to June 2021 were included. To evaluate the 90-day revisitation risk factors, a multivariate analysis was performed, including those factors with a p<0.200 from a previous univariate model. A Cox regression model was performed to assess the impact of a high burden on the time until 90-day ED revisitation.

resultsOne hundred and forty-eight patients were included (mean age 80.7±12.3 years). The median number of drugs that patients were currently on at emergency admission was eight (range 2-19), while at hospital discharge it was nine (range 2-20), with the median number of central nervous system (CNS) depressant drugs on admission being three (range 1-6). Thirty-five (23.6%) patients revisited the ED 90 days after discharge for sleepiness or agitation. In the multivariate model, a significant association was observed between a high anticholinergic burden during treatment at discharge (OR 3.74, 95% CI 1.36 to 9.71), chronic kidney disease (OR 2.87, 95% CI 1.19 to 6.81), and the risk of 90-day revisitation. Patients with high anticholinergic burden had a shorter time to revisit than those with medium or low anticholinergic burden (HR 1.96, 95% CI 1.05 to 3.99).

conclusionsPatients with pharmacological sleepiness and a high anticholinergic burden in their chronic treatment carry a greater risk of revisitation to EDs, and should be considered candidates for specific interventions after visiting these units.

Indexed as

Cholinergic AntagonistsEmergency Service, HospitalAgedAged, 80 and overFemaleFrail ElderlyHumansMaleRetrospective StudiesRisk FactorsSleepinessCholinergic AntagonistsDRUG-RELATED SIDE EFFECTS AND ADVERSE REACTIONSEMERGENCY MEDICINEGERIATRICSPRIMARY HEALTH CARESafety

Identifiers

PMID36100370
PMCPMC11042439
OpenAlexW4295756807

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.