Evidence map›Paper›PMID 29404965›Full record

ArticleDrugs & aging2018

Medication Profiles of Patients with Cognitive Impairment and High Anticholinergic Burden.

Ariel R Green, Liza M Reifler, Cynthia M Boyd, Linda A Weffald, Elizabeth A Bayliss

Abstract read
In one paragraph

Article in Drugs & aging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  12. Sleep and Delirium in Older Adults.Current sleep medicine reports · 2020
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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

5 authors.

Ariel R GreenDivision of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Mason F. Lord Center Tower, 7th Floor, 5200 Eastern Avenue, Baltimore, MD, 21224, USA. ariel@jhmi.edu.ORCID 0000-0003-4127-4617
Liza M ReiflerInstitute for Health Research, Kaiser Permanente Colorado, 10065 E. Harvard Ave. Suite 300, Denver, CO, 80207, USA.
Cynthia M BoydDivision of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Mason F. Lord Center Tower, 7th Floor, 5200 Eastern Avenue, Baltimore, MD, 21224, USA.
Linda A WeffaldInstitute for Health Research, Kaiser Permanente Colorado, 10065 E. Harvard Ave. Suite 300, Denver, CO, 80207, USA.
Elizabeth A BaylissInstitute for Health Research, Kaiser Permanente Colorado, 10065 E. Harvard Ave. Suite 300, Denver, CO, 80207, USA. elizabeth.bayliss@kp.org.

Funding

Advancing Geriatrics Infrastructure & Network Growth - Admin Supplement: Designing and Testing an Informatics Tool to Aid Prescribers in Reducing Anticholinergic Burden in Older AdultsR24AG045050 · NIA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI GURWITZ, JERRY H · 2014 to 2017
$3.6M
Bladder Antimuscarinics in Dementia: A Model of Decisions About Potentially Inappropriate MedicinesK23AG054742 · NIA · JOHNS HOPKINS UNIVERSITY · PI GREEN, ARIEL · 2017 to 2020
$795k
National Institute on Aging (US) R24AG045050-03S2NIA NIH HHS K23 AG054742NIA NIH HHS R24 AG045050
6 · The paper itself

Abstract

backgroundDrugs with anticholinergic properties are considered potentially inappropriate in patients with cognitive impairment because harms-including delirium, falls, and fractures-may outweigh benefits.

objectiveTo highlight opportunities to improve clinical decision making and care for patients with cognitive impairment and multiple chronic conditions, we identified distinct subgroups of patients with mild cognitive impairment (MCI) and dementia who had high cumulative anticholinergic burden and specific patterns of anticholinergic use. PATIENTS AND

methodsWe conducted a retrospective cohort study in a not-for-profit, integrated delivery system. Participants included community-dwelling adults aged 65 years and older (n = 13,627) with MCI or dementia and at least two other chronic diseases. We calculated the Anticholinergic Cognitive Burden (ACB) score for each participant from pharmacy and electronic health record (EHR) data. Among individuals with a mean 12-month ACB score ≥ 2, we used agglomerative hierarchical clustering to identify groups or clusters of individuals with similar anticholinergic prescription patterns.

resultsTwenty-four percent (3257 participants) had high anticholinergic burden, defined as an ACB score ≥ 2. Clinically meaningful clusters based upon anchoring medications or drug classes included a cluster of cardiovascular medications (n = 1497; 46%); two clusters of antidepressant medications (n = 633; 20%); and a cluster based on use of bladder antimuscarinics (n = 431; 13%). Several clusters comprised multiple central nervous system (CNS)-active drugs.

conclusionsCardiovascular and CNS-active medications comprise a substantial portion of anticholinergic burden in people with cognitive impairment and multiple chronic conditions. Antidepressants were highly prevalent. Clinical profiles elucidated by these clusters of anticholinergic medications can inform targeted approaches to care.

Indexed as

Accidental FallsAgedAged, 80 and overCholinergic AntagonistsClinical Decision-MakingCognitive DysfunctionCohort StudiesContraindications, DrugDementiaFemaleHumansIndependent LivingMaleRetrospective StudiesCholinergic Antagonists

Identifiers

PMID29404965
PMCPMC5886812

What OpenQuestion holds

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LicenceTDM
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Registered trials

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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.