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Díaz-Acedo R, Villalba-Moreno ÁM, Santos-Ramos B, Sánchez-Fidalgo S. Systematic review on the use of anticholinergic scales in elderly chronic patients. Res Social Adm Pharm 2025; 21:117-133. [PMID: 39710558 DOI: 10.1016/j.sapharm.2024.12.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 08/16/2024] [Accepted: 12/12/2024] [Indexed: 12/24/2024]
Abstract
BACKGROUND The rising prevalence of chronic conditions and polypharmacy in the elderly increases the risk of anticholinergic burden, the cumulative effect of multiple anticholinergic drugs. However, no standard exists for assessing anticholinergic burden in these patients, resulting in various anticholinergic scales with differing methodologies and outcomes. OBJECTIVES To identify existing anticholinergic scales that are applicable to elderly chronic patients and to compare their main characteristics, included drugs and anticholinergic potential scores. In addition, we aim to analyse the previous validation of these scales. METHODS We conducted a systematic review (MEDLINE, EMBASE and Web of Science; PROSPERO ID CRD42024505226; October 2023) for studies on anticholinergic scales applicable to elderly patients with chronic conditions. We also examined the validation of these tools in predicting anticholinergic-related adverse outcomes. Inclusion criteria targeted studies on anticholinergic scales for patients aged ≥65 with chronic conditions, excluding those hospitalized or with specific diseases. Quality assessments utilized JBI tools and SQUIRE 2.0 standards. RESULTS From 1399 references, 18 anticholinergic scales development studies were included. Different scales varied in creation methodology, with some based on literature, review of previous scales or experimental data. The included studies are heterogeneous in terms of design and results of their quality analysis. For the second objective, 29 validation studies were considered, with mixed associations found between anticholinergic scales and health outcomes. CONCLUSIONS Current anticholinergic scales and validation studies are diverse and show mixed and controversial results, with evidence often coming from retrospective or low-quality studies; indicating the necessity for future research to focus on developing a clinically applicable tool for accurately assessing anticholinergic burden in the elderly with chronic conditions.
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Affiliation(s)
- Rocío Díaz-Acedo
- Unidad de Gestión Clínica de Farmacia, Hospital Universitario Virgen del Rocío, Avenida Manuel Siurot S/N, CP 41013, Sevilla, Spain
| | - Ángela María Villalba-Moreno
- Unidad de Gestión Clínica de Farmacia, Hospital Universitario Virgen del Rocío, Avenida Manuel Siurot S/N, CP 41013, Sevilla, Spain.
| | - Bernardo Santos-Ramos
- Unidad de Gestión Clínica de Farmacia, Hospital Universitario Virgen del Rocío, Avenida Manuel Siurot S/N, CP 41013, Sevilla, Spain
| | - Susana Sánchez-Fidalgo
- Departamento de Medicina Preventiva y Salud Pública, Universidad de Sevilla, Avenida Doctor Fedriani S/N, CP 41009, Sevilla, Spain
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Pistorio S, Scotto di Tella G, Canzanella V, Merenda R, Cuomo G, Iacotucci P, Carnovale V, Bencivenga L, Vargas M, Manes A, Cataldi M, Rengo G, Zanetti M, Femminella GD. Anticholinergic burden and behavioral and psychological symptoms in older patients with cognitive impairment. Front Med (Lausanne) 2025; 12:1505007. [PMID: 40012975 PMCID: PMC11861190 DOI: 10.3389/fmed.2025.1505007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2024] [Accepted: 01/29/2025] [Indexed: 02/28/2025] Open
Abstract
Background Drugs with anticholinergic properties are frequently prescribed to patients with cognitive impairment. The cholinergic system plays an important role in learning processes, memory, and emotions regulation. The aim of this research is to report use of anticholinergic drugs in a clinical population and to investigate the correlation between the use of anticholinergic drugs and the risk of presenting with more severe behavioral and psychological symptoms (BPSD). Method Patients with a diagnosis of subjective cognitive impairment, mild cognitive impairment (MCI) or dementia were recruited. Screening tests for cognitive impairment (MMSE) and functional status (ADL, IADL) were performed. BPSD were evaluated with the Neuropsychiatric Inventory (NPI). The anticholinergic burden was calculated using the ACB calculator. We compared patients at low risk of anticholinergic adverse effects (ACB < 3) versus patients at high risk (ACB ≥ 3). Chi-square test and Mann-Whitney test were used to compare the two groups. A multiple linear regression was performed to identify factors associated with higher NPI score and a logistic regression model was built to identify drug classes associated with ACB ≥ 3. Result A total of 173 patients (mean age 74 ± 7, 74 men) were included in the study; 132 patients with ACB < 3 (low risk) versus 41 patients with ACB ≥3 (high risk) were compared. No statistically significant differences were found between the two groups in terms of demographics (age, sex) and anamnestic variables (education, marital status, family history of dementia, hypertension, diabetes, smoking, dyslipidemia, atrial fibrillation, coronary heart disease and use of alcohol). Significantly higher NPI scores were found in patients with ACB ≥ 3 (mean scores 47.3 ± 34.8 versus 25.5 ± 24.6, p < 0.001). Patients with ACB ≥ 3 showed lower MMSE (18.5 ± 8.6 versus 22.4 ± 7, p = 0.004) and more IADLs lost. In the multivariate regression analysis, after adjusting for age, sex, polypharmacy and IADLs lost, only the MMSE and the ACB scores were independent predictors of the NPI score. Being on antipsychotics, antidepressants and antidiabetic drugs was associated with increased risk of higher anticholinergic burden. Conclusion In conclusion, the anticholinergic burden might play a significant role as a risk factor for developing more severe BPSD in patients with cognitive decline, independently from their degree of cognitive impairment.
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Affiliation(s)
- Sabrina Pistorio
- Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy
| | | | - Vittoria Canzanella
- Department of Translational Medical Sciences, University of Naples Federico II, Naples, Italy
| | - Raffaella Merenda
- Department of Translational Medical Sciences, University of Naples Federico II, Naples, Italy
| | - Gianluigi Cuomo
- Department of Translational Medical Sciences, University of Naples Federico II, Naples, Italy
| | - Paola Iacotucci
- Department of Translational Medical Sciences, University of Naples Federico II, Naples, Italy
| | - Vincenzo Carnovale
- Department of Translational Medical Sciences, University of Naples Federico II, Naples, Italy
| | - Leonardo Bencivenga
- Department of Translational Medical Sciences, University of Naples Federico II, Naples, Italy
| | - Maria Vargas
- Department of Neuroscience, Reproductive Sciences and Dentistry, University of Naples Federico II, Naples, Italy
| | - Annalaura Manes
- Department of Neuroscience, Reproductive Sciences and Dentistry, University of Naples Federico II, Naples, Italy
| | - Mauro Cataldi
- Department of Neuroscience, Reproductive Sciences and Dentistry, University of Naples Federico II, Naples, Italy
| | - Giuseppe Rengo
- Department of Translational Medical Sciences, University of Naples Federico II, Naples, Italy
- Istituti Clinici Scientifici Maugeri IRCCS-Scientific Intitute of Telese Terme, Telese Terme, Benevento, Italy
| | - Michela Zanetti
- Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy
| | - Grazia Daniela Femminella
- Department of Translational Medical Sciences, University of Naples Federico II, Naples, Italy
- Department of Brain Sciences, Imperial College London, London, United Kingdom
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Mahmoudi R, Greten S, Veith Sanches L, Krey L, Ulaganathan S, Höglinger GU, Heck J, Wegner F, Klietz M. Impact of the Anticholinergic Burden on Disease-Specific Symptoms in Parkinsonian Syndromes. Brain Sci 2024; 14:805. [PMID: 39199497 PMCID: PMC11352570 DOI: 10.3390/brainsci14080805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2024] [Revised: 08/07/2024] [Accepted: 08/09/2024] [Indexed: 09/01/2024] Open
Abstract
Background: Anticholinergic adverse effects pose a relevant threat to patients, in particular elderly and cognitively impaired patients. Patients with Parkinsonian syndromes are especially at risk from anticholinergic adverse effects due to the often-required complex drug therapy. Aims: The aim of this study was to evaluate the potential effect of the anticholinergic burden on motor and non-motor symptoms in Parkinson's disease and atypical Parkinsonian syndromes. Methods: This cross-sectional, monocentric retrospective data analysis included 151 patients with Parkinson's disease (PD), 63 with progressive supranuclear palsy (PSP), and 36 with multiple system atrophy (MSA). The anticholinergic burden of patients' medications was determined using two established scores: the Anticholinergic Drug Scale (ADS) and the German Anticholinergic Burden Scale (GABS). These scores were compared between the different diseases and correlated with several disease-specific scores. Results: Anticholinergic burden was higher in patients with PD, in particular, compared to PSP. In the PD group, anticholinergic burden showed a weak correlation with almost all analyzed clinical scores and the number of administered drugs. The UMSARS I and II showed a significant correlation with the anticholinergic burden in MSA patients. In general, the GABS-measured anticholinergic burden was significantly higher compared to the ADS-measured. Conclusions: The calculated anticholinergic burden affected motor and non-motor symptoms in patients with various Parkinsonian syndromes poorly. Since the GABS also contains basic anti-parkinsonian drugs, this score tended to overestimate the anticholinergic burden in patients with Parkinsonian syndromes and, therefore, seemed less appropriate for this application.
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Affiliation(s)
- Romina Mahmoudi
- Department of Neurology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625 Hannover, Germany; (R.M.); (L.V.S.); (L.K.); (S.U.); (G.U.H.); (F.W.); (M.K.)
| | - Stephan Greten
- Department of Neurology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625 Hannover, Germany; (R.M.); (L.V.S.); (L.K.); (S.U.); (G.U.H.); (F.W.); (M.K.)
| | - Linda Veith Sanches
- Department of Neurology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625 Hannover, Germany; (R.M.); (L.V.S.); (L.K.); (S.U.); (G.U.H.); (F.W.); (M.K.)
| | - Lea Krey
- Department of Neurology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625 Hannover, Germany; (R.M.); (L.V.S.); (L.K.); (S.U.); (G.U.H.); (F.W.); (M.K.)
| | - Sarana Ulaganathan
- Department of Neurology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625 Hannover, Germany; (R.M.); (L.V.S.); (L.K.); (S.U.); (G.U.H.); (F.W.); (M.K.)
| | - Günter U. Höglinger
- Department of Neurology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625 Hannover, Germany; (R.M.); (L.V.S.); (L.K.); (S.U.); (G.U.H.); (F.W.); (M.K.)
- Department of Neurology, University Hospital of Munich, Ludwig-Maximilians-Universität (LMU) Munich, 80539 Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy) Munich, 80539 Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), 80539 Munich, Germany
| | - Johannes Heck
- Institute for Clinical Pharmacology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625 Hannover, Germany;
| | - Florian Wegner
- Department of Neurology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625 Hannover, Germany; (R.M.); (L.V.S.); (L.K.); (S.U.); (G.U.H.); (F.W.); (M.K.)
| | - Martin Klietz
- Department of Neurology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625 Hannover, Germany; (R.M.); (L.V.S.); (L.K.); (S.U.); (G.U.H.); (F.W.); (M.K.)
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Bhatkhande G, Choudhry NK, Mahesri M, Haff N, Lauffenburger JC. Disentangling drug contributions: anticholinergic burden in older adults linked to individual medications: a cross-sectional population-based study. BMC Geriatr 2024; 24:44. [PMID: 38200457 PMCID: PMC10782746 DOI: 10.1186/s12877-023-04640-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 12/26/2023] [Indexed: 01/12/2024] Open
Abstract
BACKGROUND Medications with potent anticholinergic properties have well-documented adverse effects. A high cumulative anticholinergic burden may arise from the concurrent use of multiple medications with weaker anticholinergic effects. We sought to identify patterns of high anticholinergic burden and associated patient characteristics. METHODS We identified patients aged ≥ 65 who filled ≥ 1 medication with anticholinergic adverse effects in 2019 and had a cumulative Anticholinergic Burden score (ACB) ≥ 4 (i.e., high anticholinergic burden) in a large US health insurer. We classified patients based on how they attained high burden, as follows: 1) only filling strong or moderate anticholinergic medications (i.e., ACB = 2 or 3, "moderate/strong"), 2) only filling lightly anticholinergic medications (i.e., ACB = 1, "light/possible"), and 3) filling any combination ("mix"). We used multinomial logistic regression to assess the association between measured patient characteristics and membership in the three anticholinergic burden classifications, using the moderate/strong group as the referent. RESULTS In total, 83,286 eligible patients with high anticholinergic burden were identified (mean age: 74.3 years (SD:7.1), 72.9% female). Of these, 4.5% filled only strong/moderate anticholinergics, 4.3% filled only light/possible anticholinergics, and the rest filled a mix (91.2%). Within patients in the mixed group, 64.3% of medication fills were for light/possible anticholinergics, while 35.7% were for moderate/strong anticholinergics. Compared with patients in the moderate/strong anticholinergics group, patients filling only light/possible anticholinergics were more likely to be older (adjusted Odds Ratio [aOR] per 1-unit of age: 1.06, 95%CI: 1.05-1.07), less likely to be female (aOR: 0.56, 95%CI: 0.50-0.62 vs. male), more likely to have comorbidities (e.g., heart failure aOR: 3.18, 95%CI: 2.70-3.74 or depression aOR: 1.20, 95%CI: 1.09-1.33 vs. no comorbidity), and visited fewer physicians (aOR per 1-unit of change: 0.98, 95%CI: 0.97-0.98). Patients in the mixed group were older (aOR per 1-unit of age: 1.02, 95%CI: 1.02-1.03) and less likely to be female (aOR: 0.89, 95%CI: 0.82-0.97 vs. male) compared with those filling moderate/strong anticholinergics. CONCLUSION Most older adults accumulated high anticholinergic burden through a combination of light/possible and moderate/strong anticholinergics rather than moderate/strong anticholinergics, with light/possible anticholinergics being the major drivers of overall anticholinergic burden. These insights may inform interventions to improve prescribing in older adults.
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Affiliation(s)
- Gauri Bhatkhande
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 1620 Tremont Street, Suite 3030, Boston, MA, 02120, USA
- Center for Healthcare Delivery Sciences (C4HDS), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Niteesh K Choudhry
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 1620 Tremont Street, Suite 3030, Boston, MA, 02120, USA
- Center for Healthcare Delivery Sciences (C4HDS), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Mufaddal Mahesri
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 1620 Tremont Street, Suite 3030, Boston, MA, 02120, USA
| | - Nancy Haff
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 1620 Tremont Street, Suite 3030, Boston, MA, 02120, USA
- Center for Healthcare Delivery Sciences (C4HDS), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Julie C Lauffenburger
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 1620 Tremont Street, Suite 3030, Boston, MA, 02120, USA.
- Center for Healthcare Delivery Sciences (C4HDS), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
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Chung J, Tjia J, Zhang N, O'Connor BT. Anticholinergic Burden and Xerostomia in Critical Care Settings. Dimens Crit Care Nurs 2023; 42:310-318. [PMID: 37756502 DOI: 10.1097/dcc.0000000000000606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/29/2023] Open
Abstract
BACKGROUND Although previous studies have established the association of medications with anticholinergic adverse effects and xerostomia, anticholinergic burden and xerostomia in critical care settings are poorly characterized. The objective of this study was to determine the impact of medication burdens associated with anticholinergic adverse effects, particularly the occurrence of xerostomia (dry mouth) in a critical care setting. In addition, this study explored the correlation between the timing of the first instance of xerostomia and the administration timing of medication known to have anticholinergic adverse effects. METHODS A retrospective case-control study was used with the MIMIC (Medical Information Mart for Intensive Care) III database. The MIMIC-III clinical database is a publicly available, deidentified, health-related database with more than 40 000 patients in critical care units from 2001 to 2012. Cases of xerostomia (n = 1344) were selected from clinical notes reporting "dry mouth," "xerostomia," or evidence of pharmacological treatment for xerostomia; control (n = 4032) was selected using the propensity analysis with 1:3 matching on covariates (eg, age, sex, race, ethnicity, and length of stay). The anticholinergic burden was quantified as the cumulative effect of anticholinergic activities using the Anticholinergic Burden Scale. RESULTS Anticholinergic burden significantly differed between xerostomia patients and control subjects (P = .04). The length of stay was a statistically significant factor in xerostomia. The probability of developing the symptom of xerostomia within 24 hours was .95 (95%) for patients of xerostomia. CONCLUSIONS Anticholinergic Burden Scale is associated with xerostomia in the critical care setting, particularly within 24 hours after admission. It is crucial to carefully evaluate alternative options for medications that may have potential anticholinergic adverse effects. This evaluation should include assessing the balance between the benefits and harms, considering the probability of withdrawal reactions, and prioritizing deprescribing whenever feasible within the initial 24-hour period.
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Rube T, Ecorcheville A, Londos E, Modig S, Johansson P. Development of the Swedish anticholinergic burden scale (Swe-ABS). BMC Geriatr 2023; 23:518. [PMID: 37626293 PMCID: PMC10464171 DOI: 10.1186/s12877-023-04225-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 08/08/2023] [Indexed: 08/27/2023] Open
Abstract
BACKGROUND Drugs with anticholinergic properties are associated with cognitive adverse effects, especially in patients vulnerable to central muscarinic antagonism. A variety of drugs show weak, moderate or strong anticholinergic effects. Therefore, the cumulative anticholinergic burden should be considered in patients with cognitive impairment. This study aimed to develop a Swedish Anticholinergic Burden Scale (Swe-ABS) to be used in health care and research. METHODS A systematic literature review was conducted in PubMed and Ovid Embase to identify previously published tools quantifying anticholinergic drug burden (i.e., exposure). Drugs and grading scores (0-3, no to high anticholinergic activity) were extracted from identified lists. Enteral and parenteral drugs authorized in Sweden were included. Drugs with conflicting scores in the existing lists were assessed by an expert group. Two drugs that were not previously assessed were also added to the evaluation process. RESULTS The systematic literature search identified the following nine anticholinergic burden scales: Anticholinergic Activity Scale, Anticholinergic Burden Classification, updated Anticholinergic Cognitive Burden scale, Anticholinergic Drug Scale, Anticholinergic Load Scale, Anticholinergic Risk Scale, updated Clinician-rated Anticholinergic Scale, German Anticholinergic Burden Scale and Korean Anticholinergic Burden Scale. A list of drugs with significant anticholinergic effects provided by The Swedish National Board of Health and Welfare was included in the process. The suggested Swe-ABS consists of 104 drugs scored as having weak, moderate or strong anticholinergic effects. Two hundred and fifty-six drugs were listed as having no anticholinergic effects based on evaluation in previous scales. In total, 62 drugs were assessed by the expert group. CONCLUSIONS Swe-ABS is a simplified method to quantify the anticholinergic burden and is easy to use in clinical practice. Publication of this scale might make clinicians more aware of drugs with anticholinergic properties and patients' total anticholinergic burden. Further research is needed to validate the Swe-ABS and evaluate anticholinergic exposure versus clinically significant outcomes.
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Affiliation(s)
- Tanja Rube
- Memory Clinic, Ängelholm, SE-262 52, Sweden.
- Cognitive Disorders Research Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden.
| | | | - Elisabet Londos
- Memory Clinic, Ängelholm, SE-262 52, Sweden
- Cognitive Disorders Research Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
| | - Sara Modig
- Department of Clinical Sciences, Lund University, Malmö, Sweden
- Primary Healthcare, Skåne County, Lund, Sweden
- Department of Medicines Management and Informatics in Skåne County, Malmö, Sweden
| | - Per Johansson
- Department of Clinical Sciences, Lund University, Helsingborg, Sweden
- Department of Internal Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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Glaser I. [Polypharmacy and Delirium in the Elderly]. PRAXIS 2023; 112:335-339. [PMID: 37042399 DOI: 10.1024/1661-8157/a003998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Polypharmacy and Delirium in the Elderly Abstract: Delirium often occurs in elderly hospitalized patients. Multimorbidity and associated polypharmacy are known risk factors for developing delirium. Moreover, delirium itself often leads to the prescription of additional drugs. This article aims to enlighten the interrelation of delirium and polypharmacy in the context of recent evidence. It also tries to show possibilities of deprescribing.
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Abstract
INTRODUCTION The use of medications with anticholinergic (ACh) properties is associated with numerous adverse effects especially in older adults. Emerging evidence suggests the presence of long-term effects with ACh use. AREAS COVERED Our article presents an overview of ACh effects and falls in older individuals including examination of emerging evidence on ACh use and cumulative exposure on short-term and long-term falls risk. The databases CINAHL, MEDLINE, EMBASE, and Web of Science were searched for articles published from January 2002 to December 2021. EXPERT OPINION Anticholinergic side effects include muscle weakness, blurred vision, and mental confusion which are likely to lead to increased falls risk. Many commonly used medications such as beta-blockers, calcium-channel blockers, and antihistamines are now known to have mild ACh properties. With polypharmacy now considered unavoidable in older patients, the cumulative effects of the use of multiple drugs with mild ACh properties may also lead to increased falls risk. The relationship between ACh drugs and falls may also be irreversible as ACh effects may extend beyond the period of drug use, due to cognitive and physical deconditioning following the initial exposure to ACh drugs. Future long-term studies with accurate quantification of cumulative ACh exposure and measurement of actual falls outcomes are urgently required.
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Affiliation(s)
- Xiang Jiang Xu
- Ageing and Age-Associated Disorders Research Group, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Maw Pin Tan
- Ageing and Age-Associated Disorders Research Group, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.,Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.,Department of Medical Sciences, Faculty of Healthcare and Medical Sciences, Sunway University, Selangor, Malaysia
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