Evidence map›Paper›PMID 38551689›Full record

ArticleEuropean journal of ageing2024

Polypharmacy, drug-drug interactions, anticholinergic burden and cognitive outcomes: a snapshot from a community-dwelling sample of older men and women in northern Italy.

Elena Perdixi, Matteo Cotta Ramusino, Alfredo Costa, Sara Bernini, Silvia Conti, Nithiya Jesuthasan, Marco Severgnini, Federica Prinelli, NutBrain Study Group

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in European journal of ageing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04461951 (Exploring the Relationship Between Nutrition, gUT Microbiota, and BRain AgINg in Community-dwelling Seniors), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.1field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04461951 unknown statusnot on this map

Exploring the Relationship Between Nutrition, gUT Microbiota, and BRain AgINg in Community-dwelling Seniors: the NutBrain Study

TypeobservationalSponsorIRCCS National Neurological Institute "C. Mondino" FoundationRan2019 to 2022Enrolled643ConditionsCognitive Dysfunction, Dietary HabitsArmsLifestyles (exposure)
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 3 countries.

Elena PerdixiDepartment of Neurology, IRCCS Humanitas Clinical and Research Center, Via Alessandro Manzoni, 56, 20089, Rozzano, MI, Italy.
Matteo Cotta RamusinoClinical Neuroscience Unit of Dementia, Dementia Research Center, IRCCS Mondino Foundation, Via Mondino 2, 27100, Pavia, Italy.
Alfredo CostaClinical Neuroscience Unit of Dementia, Dementia Research Center, IRCCS Mondino Foundation, Via Mondino 2, 27100, Pavia, Italy.
Sara BerniniNeuropsychology Lab/Center for Cognitive Disorders and Dementia IRCCS Mondino Foundation, Via Mondino 2, 27100, Pavia, Italy.
Silvia ContiNeuropsychology Lab/Center for Cognitive Disorders and Dementia IRCCS Mondino Foundation, Via Mondino 2, 27100, Pavia, Italy.
Nithiya JesuthasanInstitute of Biomedical Technologies - National Research Council, Via Fratelli Cervi 93, 20054, Segrate, MI, Italy.
Marco SevergniniInstitute of Biomedical Technologies - National Research Council, Via Fratelli Cervi 93, 20054, Segrate, MI, Italy.
Federica PrinelliNeuropsychology Lab/Center for Cognitive Disorders and Dementia IRCCS Mondino Foundation, Via Mondino 2, 27100, Pavia, Italy. federica.prinelli@itb.cnr.it.
NutBrain Study Group
National Academies of Sciences, Engineering, and Medicine · USFondazione Istituto Neurologico Nazionale Casimiro Mondino · ITHumanitas University · ITInstitute of Biomedical Technologies · IT

Funding

Ministero della Salute GR -2016-02361730
6 · The paper itself

Abstract

Polypharmacy (PP) use is very common in older people and may lead to drug-drug interactions (DDIs) and anticholinergic burden (ACB) that may affect cognitive function. We aimed to determine the occurrence of PP, potential DDIs and ACB and their role in cognitive outcomes in an older population. Cross-sectional data from 636 community-dwelling adults (73.2 ± 6.0 SD, 58.6% women) participating in the NutBrain study (2019-2023) were analyzed. Participants were asked about their medication use, and data on potential DDIs and ACB were extracted. The associations of PP (≥ 5 drugs/day), potential DDIs, and ACB with mild cognitive impairment (MCI) and specific cognitive domains were assessed using logistic regression adjusted for confounders. Sex-stratified analysis was performed. Overall, 27.2% of the participants were exposed to PP, 42.3% to potential DDIs and 19% to cumulative ACB. Women were less exposed to PP and more exposed to ACB than men. In multivariate analysis, the odds of having MCI (24%) were three times higher in those with severe ACB (≥ 3) (OR 3.34, 95%CI 1.35-8.25). ACB was positively associated with poor executive function (OR 4.45, 95%CI 1.72-11.49) and specifically with the Frontal Assessment Battery and neuropsychological tests of phonological and semantic fluency. In sex-stratified analysis, ACB was statistically significantly associated with MCI and executive function in women and with memory in men. PP, potential DDIs and anticholinergics use are very common in community-dwelling older people. ACB exposure is associated with MCI, particularly with poor executive function. Clinicians are encouraged to be vigilant when prescribing anticholinergics.Trial registration: Trial registration number NCT04461951, date of registration July 7, 2020 (retrospectively registered, ClinicalTrials.gov).

Indexed as

Anticholinergic cognitive burdenCognitive statusCross-sectional studyDrug-drug interactionsOlder peoplePolypharmacy

Identifiers

PMID38551689
PMCPMC10980670
OpenAlexW4393317746

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.