Literature DB >> 34097766

Anticholinergic burden (prognostic factor) for prediction of dementia or cognitive decline in older adults with no known cognitive syndrome.

Martin Taylor-Rowan1, Sophie Edwards2, Anna H Noel-Storr3, Jenny McCleery4, Phyo K Myint5, Roy Soiza6, Carrie Stewart7, Yoon Kong Loke8, Terry J Quinn1.   

Abstract

BACKGROUND: Medications with anticholinergic properties are commonly prescribed to older adults. The cumulative anticholinergic effect of all the medications a person takes is referred to as the 'anticholinergic burden' because of its potential to cause adverse effects. It is possible that high anticholinergic burden may be a risk factor for development of cognitive decline or dementia. There are various scales available to measure anticholinergic burden but agreement between them is often poor.
OBJECTIVES: To assess whether anticholinergic burden, as defined at the level of each individual scale, is a prognostic factor for future cognitive decline or dementia in cognitively unimpaired older adults. SEARCH
METHODS: We searched the following databases from inception to 24 March 2021: MEDLINE (OvidSP), Embase (OvidSP), PsycINFO (OvidSP), CINAHL (EBSCOhost), and ISI Web of Science Core Collection (ISI Web of Science). SELECTION CRITERIA: We included prospective and retrospective longitudinal cohort and case-control observational studies with a minimum of one year' follow-up that examined the association between an anticholinergic burden measurement scale and future cognitive decline or dementia in cognitively unimpaired older adults. DATA COLLECTION AND ANALYSIS: Two review authors independently assessed studies for inclusion, and undertook data extraction, assessment of risk of bias, and GRADE assessment. We extracted odds ratios (OR) and hazard ratios, with 95% confidence intervals (CI), and linear data on the association between anticholinergic burden and cognitive decline or dementia. We intended to pool each metric separately; however, only OR-based data were suitable for pooling via a random-effects meta-analysis. We initially established adjusted and unadjusted pooled rates for each available anticholinergic scale; then, as an exploratory analysis, established pooled rates on the prespecified association across scales. We examined variability based on severity of anticholinergic burden. MAIN
RESULTS: We identified 25 studies that met our inclusion criteria (968,428 older adults). Twenty studies were conducted in the community care setting, two in primary care clinics, and three in secondary care settings. Eight studies (320,906 participants) provided suitable data for meta-analysis. The Anticholinergic Cognitive Burden scale (ACB scale) was the only scale with sufficient data for 'scale-based' meta-analysis. Unadjusted ORs suggested an increased risk for cognitive decline or dementia in older adults with an anticholinergic burden (OR 1.47, 95% CI 1.09 to 1.96) and adjusted ORs similarly suggested an increased risk for anticholinergic burden, defined according to the ACB scale (OR 2.63, 95% CI 1.09 to 6.29). Exploratory analysis combining adjusted ORs across available scales supported these results (OR 2.16, 95% CI 1.38 to 3.38), and there was evidence of variability in risk based on severity of anticholinergic burden (ACB scale 1: OR 2.18, 95% CI 1.11 to 4.29; ACB scale 2: OR 2.71, 95% CI 2.01 to 3.56; ACB scale 3: OR 3.27, 95% CI 1.41 to 7.61); however, overall GRADE evaluation of certainty of the evidence was low. AUTHORS'
CONCLUSIONS: There is low-certainty evidence that older adults without cognitive impairment who take medications with anticholinergic effects may be at increased risk of cognitive decline or dementia.
Copyright © 2021 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.

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Year:  2021        PMID: 34097766      PMCID: PMC8169439          DOI: 10.1002/14651858.CD013540.pub2

Source DB:  PubMed          Journal:  Cochrane Database Syst Rev        ISSN: 1361-6137


  107 in total

1.  "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician.

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2.  Anticholinergic drugs in late life: adverse effects on cognition but not on progress to dementia.

Authors:  Lawrence J Whalley; Sumit Sharma; Helen C Fox; Alison D Murray; Roger T Staff; Ashleigh C Duthie; Ian J Deary; John M Starr
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3.  The Association Between Drug Burden Index (DBI) and Health-Related Outcomes: A Longitudinal Study of the 'Oldest Old' (LiLACS NZ).

Authors:  Karen Cardwell; Ngaire Kerse; Cristín Ryan; Ruth Teh; Simon A Moyes; Oliver Menzies; Anna Rolleston; Joanna Broad; Carmel M Hughes
Journal:  Drugs Aging       Date:  2020-03       Impact factor: 3.923

4.  Impact of Anticholinergic Burden on Cognitive Performance: A Cohort Study of Community-Dwelling Older Adults.

Authors:  Prasad S Nishtala; Heather Allore; Ling Han; Hamish A Jamieson; Sarah N Hilmer; Te-Yuan Chyou
Journal:  J Am Med Dir Assoc       Date:  2020-05-10       Impact factor: 4.669

5.  Cognitive decline associated with anticholinergics, benzodiazepines and Z-drugs: Findings from The Irish Longitudinal Study on Ageing (TILDA).

Authors:  Frank Moriarty; George M Savva; Carlota M Grossi; Kathleen Bennett; Chris Fox; Ian Maidment; Yoon K Loke; Nicholas Steel; Rose Anne Kenny; Kathryn Richardson
Journal:  Br J Clin Pharmacol       Date:  2020-12-18       Impact factor: 4.335

6.  Antiparkinsonism anticholinergics increase dementia risk in patients with Parkinson's disease.

Authors:  Chien-Tai Hong; Lung Chan; Dean Wu; Wan-Ting Chen; Li-Nien Chien
Journal:  Parkinsonism Relat Disord       Date:  2019-06-25       Impact factor: 4.891

7.  Use of medications with anticholinergic properties and cognitive function in a young-old community sample.

Authors:  Lee-Fay Low; Kaarin J Anstey; Perminder Sachdev
Journal:  Int J Geriatr Psychiatry       Date:  2009-06       Impact factor: 3.485

8.  Association between Anticholinergic Medication Use and Risk of Dementia among Patients with Parkinson's Disease.

Authors:  Jau-Jiuan Sheu; Meng-Ting Tsai; Steven R Erickson; Chung-Hsuen Wu
Journal:  Pharmacotherapy       Date:  2019-07-17       Impact factor: 4.705

9.  Methodological challenges in determining longitudinal associations between anticholinergic drug use and incident cognitive decline.

Authors:  Mandavi Kashyap; Sylvie Belleville; Benoit H Mulsant; Sarah N Hilmer; Amelie Paquette; Le Mai Tu; Cara Tannenbaum
Journal:  J Am Geriatr Soc       Date:  2014-01-13       Impact factor: 5.562

10.  Practical methods for incorporating summary time-to-event data into meta-analysis.

Authors:  Jayne F Tierney; Lesley A Stewart; Davina Ghersi; Sarah Burdett; Matthew R Sydes
Journal:  Trials       Date:  2007-06-07       Impact factor: 2.279

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1.  European Stroke Organisation and European Academy of Neurology joint guidelines on post-stroke cognitive impairment.

Authors:  Terence J Quinn; Edo Richard; Yvonne Teuschl; Thomas Gattringer; Melanie Hafdi; John T O'Brien; Niamh Merriman; Celine Gillebert; Hanne Huyglier; Ana Verdelho; Reinhold Schmidt; Emma Ghaziani; Hysse Forchammer; Sarah T Pendlebury; Rose Bruffaerts; Milija Mijajlovic; Bogna A Drozdowska; Emily Ball; Hugh S Markus
Journal:  Eur Stroke J       Date:  2021-10-08

Review 2.  Anticholinergic burden for prediction of cognitive decline or neuropsychiatric symptoms in older adults with mild cognitive impairment or dementia.

Authors:  Martin Taylor-Rowan; Olga Kraia; Christina Kolliopoulou; Anna H Noel-Storr; Ahmed A Alharthi; Amanda J Cross; Carrie Stewart; Phyo K Myint; Jenny McCleery; Terry J Quinn
Journal:  Cochrane Database Syst Rev       Date:  2022-08-22

Review 3.  Perioperative neurocognitive disorders: A narrative review focusing on diagnosis, prevention, and treatment.

Authors:  Hao Kong; Long-Ming Xu; Dong-Xin Wang
Journal:  CNS Neurosci Ther       Date:  2022-06-01       Impact factor: 7.035

4.  Anticholinergic Load Is Associated with Swallowing Dysfunction in Convalescent Older Patients after a Stroke.

Authors:  Eiji Kose; Toshiyuki Hirai; Toshiichi Seki; Michiyo Okudaira; Nobuhiro Yasuno
Journal:  Nutrients       Date:  2022-05-19       Impact factor: 6.706

5.  Treatment Continuation of Asenapine or Olanzapine in Japanese Schizophrenia Patients: A Propensity Score Matched Study.

Authors:  Haruna Matsuzaki; Masakazu Hatano; Miko Iwata; Shigeki Yamada
Journal:  Neuropsychiatr Dis Treat       Date:  2021-12-14       Impact factor: 2.570

6.  Analysis of anticholinergic adverse effects using two large databases: The US Food and Drug Administration Adverse Event Reporting System database and the Japanese Adverse Drug Event Report database.

Authors:  Junko Nagai; Yoichi Ishikawa
Journal:  PLoS One       Date:  2021-12-02       Impact factor: 3.240

7.  Association between anticholinergic burden and dementia in UK Biobank.

Authors:  Jure Mur; Tom C Russ; Simon R Cox; Riccardo E Marioni; Graciela Muniz-Terrera
Journal:  Alzheimers Dement (N Y)       Date:  2022-04-12

8.  The Predictive Value of Anticholinergic Burden Measures in Relation to Cognitive Impairment in Older Chronic Complex Patients.

Authors:  Ángela Tristancho-Pérez; Ángela Villalba-Moreno; María Dolores López-Malo de Molina; Bernardo Santos-Ramos; Susana Sánchez-Fidalgo
Journal:  J Clin Med       Date:  2022-06-11       Impact factor: 4.964

Review 9.  The anticholinergic burden: from research to practice.

Authors:  Sarah N Hilmer; Danijela Gnjidic
Journal:  Aust Prescr       Date:  2022-08-01

10.  Anticholinergic burden (prognostic factor) for prediction of dementia or cognitive decline in older adults with no known cognitive syndrome.

Authors:  Martin Taylor-Rowan; Sophie Edwards; Anna H Noel-Storr; Jenny McCleery; Phyo K Myint; Roy Soiza; Carrie Stewart; Yoon Kong Loke; Terry J Quinn
Journal:  Cochrane Database Syst Rev       Date:  2021-05-05
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