Anticholinergic Burden Measures Predict Older People's Physical Function and Quality of Life: A Systematic Review

Anticholinergic burden and health-related quality of life among adult patients in a resource-limited setting: a cross-sectional study

BACKGROUND

Anticholinergic medications are now widely acknowledged for their unfavorable risk-to-benefit profile owing to their adverse effects. Health-related quality of life (HRQoL) is commonly regarded as a crucial person-centered outcome.

AIM

This study aimed to investigate the association between anticholinergic burden and HRQoL in hospitalized and ambulatory patients seen in Ethiopia.

METHOD

This cross-sectional study utilized a questionnaire and medical records to collect data from a convenience sample of adult patients attending both inpatient wards and ambulatory clinic of University of Gondar Comprehensive Specialized Hospital between April and September 2022. Anticholinergic burden was measured by anticholinergic cognitive burdens scale (ACBS), while HRQoL was measured using EQ5D-index (Euroqol-5 dimensions-5-Levels index) and EQ5D-VAS (visual analogue scale). Linear regression was used to assess the influence of high anticholinergic burden (ACBS score ≥ 3) on EQ5D-index and EQ5D-VAS, with adjustments made for sociodemographic and clinical confounders.

RESULTS

A total of 828 patients participated in this study (median (IQR) age was 45.0 (30, 60) and 55.9% were female). On multiple linear regression analysis, high anticholinergic burden was associated with a statistically significant decline in HRQoL, as evidenced by reductions in both EQ5D index (- 0.174 (- 0.250, - 0.098)) and EQ5D-VAS scores (- 9.4 (- 13.3, - 5.2)).

CONCLUSION

A significant association between high anticholinergic burden and diminished HRQoL was found among a relatively younger cohort in a resource-limited setting, even after adjustment for important confounding variables. Clinicians should be cognizant of the cumulative impact of anticholinergic burden on HRQoL outcomes and strive to minimize anticholinergic burden.

Cardiovascular risk associated with changes in anticholinergic load on four different scales: a registry-based cohort study of geriatric outpatients

BACKGROUND

Recent studies have shown that anticholinergic medications are associated with cardiovascular disease. Little is known about how discontinuation of anticholinergic medication affects this association. We investigated how baseline anticholinergic load and change in anticholinergic load associates with major adverse cardiovascular events (MACE) on four different scales.

METHODS

We included all geriatric outpatients aged 65 and older in Denmark between January 2011 and December 2018. Data were sourced from Danish national registries. Anticholinergic drug exposure was assessed at first contact to the outpatient clinic (baseline) and changes were assessed at 180 days after outpatient contact. Anticholinergic scales were the CRIDECO Anticholinergic Load Scale, Anticholinergic Drugs Scale, Anticholinergic Cognitive Burden and a scale by the Danish Institute of Rational Pharmacotherapy. Multivariate analyses were conducted to investigate the 1- and 5-year risk of MACE by baseline anticholinergic load and changes in anticholinergic load after 180 days.

RESULTS

We included a total of 64 378 patients in the analysis of baseline anticholinergic load and 54 010 patients remained after 180 days for inclusion in the analysis of change in anticholinergic load. At baseline the mean age was 81.7 year (SD 7.5) and 68% were women. Higher level of anticholinergic load on any scale associated with greater risk of MACE in a dose response pattern. There were no association between reduction in anticholinergic load and risk of MACE.

CONCLUSION

While anticholinergic load at baseline was associated with MACE, reducing anticholinergic load did not lower the risk of MACE indicating the association may not be causal.

Assessing the anticholinergic cognitive burden classification of putative anticholinergic drugs using drug properties

AIMS

This study evaluated the use of machine learning to leverage drug absorption, distribution, metabolism and excretion (ADME) data together with physicochemical and pharmacological data to develop a novel anticholinergic burden scale and compare its performance to previously published scales.

METHODS

Experimental and in silico ADME, physicochemical and pharmacological data were collected for antimuscarinic activity, blood-brain barrier penetration, bioavailability, chemical structure and P-glycoprotein (P-gp) substrate profile. These five drug properties were used to train an unsupervised model to assign anticholinergic burden scores to drugs. The model performance was evaluated through 10-fold cross-validation and compared with the clinical Anticholinergic Cognitive Burden (ACB) scale and nonclinical Anticholinergic Toxicity Scores (ATS) scale, which is based primarily on muscarinic binding affinity.

RESULTS

In silico software (ADMET Predictor) used for screening drugs for their blood-brain barrier (BBB) penetration correctly identified some drugs that do not cross the BBB. The mean area under the curve for the unsupervised and ACB scale based on the five selected variables was 0.76 and 0.64, respectively. The unsupervised model agreed with the ACB scale on the classification of more than half of the drugs (49 of 88) agreed on the classification of less than half the drugs in the ATS scale (12 of 25).

CONCLUSIONS

Our findings suggest that the commonly used ACB scale may misclassify certain drugs due to their inability to cross the BBB. By contrast, the ATS scale would misclassify drugs solely depending on muscarinic binding affinity without considering other drug properties. Machine learning models can be trained on these features to build classification models that are easy to update and have greater generalizability.

Moving towards the detection of frailty with biomarkers: A population health study

Aging adults experience increased health vulnerability and compromised abilities to cope with stressors, which are the clinical manifestations of frailty. Frailty is complex, and efforts to identify biomarkers to detect frailty and pre-frailty in the clinical setting are rarely reproduced across cohorts. We developed a predictive model incorporating biological and clinical frailty measures to identify robust biomarkers across data sets. Data were from two large cohorts of older adults: "Invecchiare in Chianti (Aging in Chianti, InCHIANTI Study") (n = 1453) from two small towns in Tuscany, Italy, and replicated in the Atherosclerosis Risk in Communities Study (ARIC) (n = 6508) from four U.S. communities. A complex systems approach to biomarker selection with a tree-boosting machine learning (ML) technique for supervised learning analysis was used to examine biomarker population differences across both datasets. Our approach compared predictors with robust, pre-frail, and frail participants and examined the ability to detect frailty status by race. Unique biomarker features identified in the InCHIANTI study allowed us to predict frailty with a model accuracy of 0.72 (95% confidence interval (CI) 0.66-0.80). Replication models in ARIC maintained a model accuracy of 0.64 (95% CI 0.66-0.72). Frail and pre-frail Black participant models maintained a lower model accuracy. The predictive panel of biomarkers identified in this study may improve the ability to detect frailty as a complex aging syndrome in the clinical setting. We propose several concrete next steps to keep research moving toward detecting frailty with biomarker-based detection methods.

The impact of anticholinergic burden on clinical outcomes in older hospitalised surgical patients

Polypharmacotherapy is an ever-increasing issue with an ageing patient population. Anticholinergic medications make up a large proportion of patient medication but cause significant side effects, contributing to well-documented issues within the older population and in hospital medicine. This review explores the documented impact of anticholinergic burden in older surgical patients on postoperative delirium, infection, length of stay and readmission, urinary retention, ileus and mortality. It also highlights the need for further high-quality research into anticholinergic burden management among older surgical patients to further impact practice and policy in the area.

Health-related quality of life and use of medication with anticholinergic activity in patients with multiple myeloma

PURPOSE

Verify the association between anticholinergic burden and health-related quality of life of patients with multiple myeloma.

METHODS

Cross-sectional study with multiple myeloma outpatient from a state capital city in southeastern Brazil. Sociodemographic, clinical, and pharmacotherapeutic variables were collected by interview. Clinical data were complemented by medical records. Drugs with anticholinergic activity were identified with Brazilian Anticholinergic Activity Drug Scale. Health-related quality of life scores were obtained using QLQ-C30 and QLQ-MY20 instruments. Mann-Whitney was used to compare the median of the health-related quality of life scale scores and the independent variables. Multivariate linear regression was performed to verify the association between independent variables and health-related quality of life scores.

RESULTS

Two hundred thirteen patients were included, 56.3% had multi-morbidities, and 71.8% used polypharmacy. In all health-related quality of life domains, there were differences between the medians of the polypharmacy variable. A significant difference was identified between the ACh burden and QLQ-C30 and QLQ-MY20 scores. Linear regression identified an association between the use of drugs with anticholinergic activity and the reduction of global status scores (QLQ-C30), functional scale (QLQ-C30), body image (QLQ-MY20), and future perspective (QLQ-MY20). Drugs with anticholinergic activity were associated with increased symptom scores (QLQ-C30 and QLQ-MY20). Polypharmacy was associated with reduction of functioning score and increase of symptom score (QLQ-C30).

CONCLUSION

Anticholinergic burden in MM patients is associated with lower scores in quality of life domains: global health and symptoms (QLQ-C30) and functional (QLQ-C30 and QLQ-MY20). The presence of polypharmacy is also associated with lower scores for functional scales and symptom scales (QLQ-C30).

Cognitive effects of individual anticholinergic drugs: a systematic review and meta-analysis

Anticholinergics (ACs) are among the most prescribed drugs. Investigating the impaired cognitive domains due to individual ACs usage is associated with controversial findings.

Objective

The objective of this study was to investigate the effects of individual ACs on different aspects of cognitive function based on clinical trial studies.

Methods

This systematic review was conducted following the PRISMA statement. A systematic search was performed in Embase, PubMed, Cochrane Library, Scopus, and Web of Science databases. Risk of bias (RoB) was assessed by the Joanna Briggs Institute checklists and the meta-analysis was performed using the CMA software.

Results

Out of 3,026 results of searching, 138 studies were included. A total of 38 studies that assess the cognitive impacts of scopolamine were included in the meta-analysis. Included studies reported cognitive effects of scopolamine, mecamylamine, atropine, biperiden, oxybutynin, trihexyphenidyl, benzhexol, and dicyclomine; however, glycopyrrolate, trospium, tolterodine, darifenacin, fesoterodine, tiotropium, and ipratropium were not associated with cognitive decline. Based on the meta-analyses, scopolamine was associated with reduced recognition (SDM -1.84; 95%CI -2.48 to -1.21; p<0.01), immediate recall (SDM -1.82; 95%CI -2.35 to -1.30; p<0.01), matching to sample (SDM -1.76; 95%CI -2.57 to -0.96; p<0.01), delayed recall (SDM -1.54; 95%CI -1.97 to -1.10; p<0.01), complex memory tasks (SDM -1.31; 95%CI -1.78 to -0.84; p<0.01), free recall (SDM -1.18; 95%CI -1.63 to -0.73; p<0.01), cognitive function (SDM -0.95; 95%CI -1.46 to -0.44; p<0.01), attention (SDM -0.85; 95%CI -1.38 to -0.33; p<0.01), and digit span (SDM -0.65; 95%CI -1.21 to -0.10; p=0.02). There was a high RoB in our included study, especially in terms of dealing with possible cofounders.

Conclusion

The limitations of this study suggest a need for more well-designed studies with a longer duration of follow-up on this topic to reach more reliable evidence.

Using wrist-worn accelerometers to identify the impact of medicines with anticholinergic or sedative properties on sedentary time: A 12-month prospective analysis

INTRODUCTION

Studies have shown that use of medicines with sedative or anticholinergic properties is associated with a decline in physical function; however, the effects have not been quantified, and it is not known how and which specific physical movements are affected. This prospective study quantified the impact of a change in sedative or anticholinergic load over time on 24-hour activity composition.

METHODS

This study used data collected from a randomised trial assessing an ongoing pharmacist service in residential aged care. The 24-hour activity composition of sleep, sedentary behaviour, light-intensity physical activity, and moderate to vigorous physical activity was derived from 24-hour accelerometry bands. Mixed effect linear models were used to regress the multivariate outcome of 24-hour activity composition on medication load at baseline and at 12 months. A fixed effect interaction between trial stage and medication load was included to test for differing sedative or anticholinergic load effects at the two trial stages.

RESULTS

Data for 183 and 85 participants were available at baseline and 12 months respectively. There was a statistically significant interaction between medication load and time point on the multivariate outcome of 24-hour activity composition (sedative F = 7.2, p < 0.001 and anticholinergic F = 3.2, p = 0.02). A sedative load increase from 2 to 4 over the 12-month period was associated with an average increase in daily sedentary behaviour by an estimated 24 min.

CONCLUSION

As sedative or anticholinergic load increased, there was an increase in sedentary time. Our findings suggest wearable accelerometry bands are a possible tool for monitoring the effects on physical function of sedative and anticholinergic medicines.

TRIAL REGISTRATION

The ReMInDAR trial was registered on the Australian and New Zealand Trials Registry ACTRN12618000766213.

Physical and mental health quality of life among underserved African American and Latino older adults

OBJECTIVES

There is an increasing amount of research on Health-Related Quality of Life (HRQoL) among older adults in the U.S. However, under-resourced and underserved African American and Latino older adults remain underrepresented in research and interventional studies, resulting in limited data on their quality of life and health promotion practices. This study examined the association between HRQoL and several layers of independent variables, including health conditions, level of pain, sleep disorders, and lifestyle factors, among African American and Latino older adults.

DESIGN

Nine hundred and five African Americans and Latinos aged 55 years and older from an underserved urban community participated in this face-to-face structured study. Multiple linear regression was performed.

RESULTS

This study documented that HRQoL among African American and Latino participants was substantially lower compared with their White counterparts reported by other studies. Adjusting for other relevant variables, this study documented an association between: (1) physical HRQoL and financial strain, perceived health, the severity of pain, number of major chronic conditions, smoking, and binge drinking; and (2) mental HRQoL and financial strain, perceived health status, the severity of pain, and sleep disorders.

CONCLUSION

Significantly lower levels of HRQoL among underserved African American and Latino older adults, compared with their White counterparts, point to another important racial/ethnic disparity in the U.S. geriatric population. The devastating consequences of financial strain, excessive chronic conditions, undiagnosed and untreated pain, and sleep disorders are all experienced by underserved African American and Latino older adults, and these factors directly contribute to a lower quality of life among this segment of our population. Longitudinal multi-faceted, multi-disciplinary, culturally sensitive, both clinic- and community-based participatory interventions are needed to address these factors, particularly pain and sleep disorders, in order to enhance the quality of life among these underserved communities.

A novel Artificial Intelligence-based tool to assess anticholinergic burden: a survey

BACKGROUND

many medications possess anticholinergic activity. Their use is associated with a number of serious adverse effects including cognitive effects. The cumulative anticholinergic effect of medications as assessed by tools such as the anticholinergic burden scale (AchB) can identify people particularly at risk of anticholinergic side-effects. Currently, >20 tools are available for clinicians to use, but there is no consensus on the most appropriate tool.

METHODS

a newly created online tool-International Anticholinergic Cognitive Burden Tool (IACT)-based on natural language processing and chemical structure analysis, was developed and made available for clinicians to test its functions. We carried out a survey (between 8th of February and 31st of March 2021) to assess the overall need for an assessment tool as well as the usability of the IACT.

RESULTS

a total of 110 responses were received from different countries and practitioners' groups. The majority of the participants (86.11%) stated they would use a tool for AchB assessment if available and when they were asked to rate the IACT against other tools, amongst 34 responders, 20.59% rated it better and 8.82% rated it significantly better, 44.12% rated it neither better, nor worse, 14.71% rated it worse and 11.76% somewhat worse.

CONCLUSION

there is a need for an anticholinergic burden calculator to assess the anticholinergicity of medications. Tools such as the IACT potentially could meet this demand due to its ability to assign scores to current and new medications appearing on the market based both on their chemical structure and reported adverse pharmacological effects.

Clinical Utility of Medication-Based Risk Scores to Reduce Polypharmacy and Potentially Avoidable Healthcare Utilization

The management of multiple chronic health conditions often requires patients to be exposed to polypharmacy to improve their health and enhance their quality of life. However, exposure to polypharmacy has been associated with an increased risk for adverse effects, drug-drug interactions, inappropriate prescribing, medication nonadherence, increased healthcare utilization such as emergency department visits and hospitalizations, and costs. Medication-based risk scores have been utilized to identify patients who may benefit from deprescribing interventions and reduce rates of inappropriate prescribing. These risk scores may also be utilized to prompt targeted discussions between patients and providers regarding medications or medication classes contributing to an individual’s risk for harm, eventually leading to the deprescribing of the offending medication(s). This opinion will describe existing medication-based risk scores in the literature, their utility in identifying patients at risk for specific adverse events, and how they may be incorporated in healthcare settings to reduce rates of potentially inappropriate polypharmacy and avoidable healthcare utilization and costs.

An Increased Anticholinergic Drug Burden Index Score Negatively Affect Nutritional Status in Older Patients Without Dementia

Introduction/Aim

Anticholinergic drugs, which have severe central and peripheric side effects, are frequently prescribed to older adults. Increased anticholinergic drug burden is associated with poor physical and cognitive functions. On the other side, the impact of anticholinergics on nutritional status is not elaborated in the literature. Therefore, this study was aimed to investigate the effect of the anticholinergic burden on nutrition.

Materials and Methods

Patients who underwent comprehensive geriatric assessment (CGA) 6 months apart were included in the study. Patients diagnosed with dementia were excluded because of the difference in the course of cognition, physical performance and nutrition. Nutritional status and global cognition were evaluated using Mini Nutritional Assessment-short form (MNA-SF), Mini-Mental State Examination (MMSE). Anticholinergic drug burden was assessed with the Drug Burden Index (DBI), enabling a precise dose-related cumulative exposure. Patients were divided into three groups according to DBI score: 0, no DBI exposure; 0–1, low risk; and ≥1, high risk. Regression analysis was performed to show the relationship between the difference in CGA parameters and the change in DBI score at the sixth month.

Results

A total of 423 patients were included in the study. Participants' mean age was 79.40 ± 7.50, and 68.6% were female. The DBI 0 score group has better MMSE and MNA-SF scores and a lower rate of falls, polypharmacy, malnutrition, and risk of malnutrition in the baseline. Having malnutrition or risk of malnutrition is 2.21 times higher for every one-unit increase in DBI score. Additionally, during the 6-month follow-up, increased DBI score was associated with decreased MNA-SF and MMSE score, albumin.

Conclusions

The harmful effects of anticholinergics may be prevented because anticholinergic activity is a potentially reversible factor. Therefore, reducing exposure to drugs with anticholinergic activity has particular importance in geriatric practice.

Association between anticholinergic drug burden with sarcopenia, anthropometric measurements, and comprehensive geriatric assessment parameters in older adults

BACKGROUND

Older patients use multiple drugs due to their comorbidities and most of these drugs have anticholinergic drug burden (ADB). We aimed to investigate the association between ADB and sarcopenia, anthropometric measurements, and comprehensive geriatric assessment (CGA) parameters in older adults.

METHODS

Patients ≥65 years who applied to geriatrics outpatient clinic between January 2019-March 2020 were included. Patients with cognitive dysfunction were excluded. CGA tests were conducted on patients. Handgrip strength (HGS), bioelectrical impedance analysis (BIA), and a 6-meter walking test were used for sarcopenia definition. The Anticholinergic Cognitive Burden (ACB) scale was used to calculate the ADB.

RESULTS

Totally 256 patients (women/men:180/76) were included. The mean age was 82±6.8. Two groups were created as without ADB (n=116) and with ADB (n=140). Sarcopenia was higher in the ADB group (p=0.04). In women and men as ADB increased HGS decreased (respectively; p=0.023 r=-0.170, p=0.031 r=-0.248) and Basic Activities of Daily Living (BADL) test score increased (respectively; p= <0.001 r= 0.292, p=0.04 r= 0.244). In the linear regression (LR) analysis age and BADL test score had significant association with ADB in women (respectively; p=0.001, p=0.023).

CONCLUSION

The finding that sarcopenia is higher in the patients with ADB and HGS decreases as ADB increases, suggesting that ADB may be a risk factor for sarcopenia by decreasing HGS. Also, it has been determined that, especially in older women, as ADB increases, the dependence on basic daily living activities increases.

The cross-sectional association of frailty with past and current exposure to strong anticholinergic drugs

BACKGROUND

Anticholinergic drugs may contribute to frailty by impairing cognitive and physical functions. Strong anticholinergic drugs in particular may have adverse effects among older adults.

OBJECTIVES

Determine the association between frailty and the use of strong anticholinergic drugs among older US Veterans.

METHODS

This is a cross-sectional study of community-dwelling Veterans 65 years and older who had determinations of frailty status. Prescription data for patients using strong anticholinergic medications (never/past/current) was obtained via electronic health records. A 31-item VA Frailty Index (VA-FI) was generated at the time of the assessment. We dichotomized the groups into non-frail (FI =  < 0.21) and frail (FI ≥ 0.21) patients. We used binomial logistic regression to calculate odds ratios (ORs) and 95% confidence intervals (CIs). Frailty was the dependent variable and use of strong anticholinergic drugs was the independent variable. Multivariate adjustment was conducted for age, gender, race, ethnicity, marital status, and BMI.

RESULTS

Population sample consisted of 17,084 Veterans who were 71.05% Caucasian, 97.34% male, and with a mean age 75.60 (SD = 8.04) years. Among the population, 9940 (58.18%) patients had no previous use of strong anticholinergic drugs, whereas 5182 (30.33%) had past exposure and 1962 (11.49%) had current exposure. In binomial logistic regression, individuals with past (OR 3.27, 95% CI 3.03-3.54, p < 0.0005) or current (OR 4.78, 95% CI 4.30-5.31, p < 0.0005) exposure showed a higher association with frailty as compared to individuals who were never exposed.

CONCLUSIONS

Past and current use of strong anticholinergic drugs were associated with frailty in older Veterans. These results suggest that screening for frailty in patients with past or current exposure to strong anticholinergic medications may be necessary for proper management.

The impact of long-term exposure to anticholinergics among people with intellectual disabilities: a scoping review protocol

Background: Older adults with intellectual disability often take multiple medicines with anticholinergic activity and sedative properties to manage multi-morbidity; the use of medication with anticholinergic activity has been found to be associated with various cognitive and physical impairments. However, there are limited studies that have examined the long-term impact of anticholinergic use among older adults. Therefore, this protocol is designed to conduct a scoping review to examine the available data on the long-term impact of anticholinergic use in older adults with intellectual disability. Aim and objectives:  The aim of this scoping review is to a) map and b) examine the existing research literature to answer the research question: What is the impact on cognitive and physical outcomes of long-term exposure to medications with anticholinergic activity among older adults with intellectual disabilities? Methods and analysis: This scoping review will follow the methodology framework of Arksey and O’Malley and its developed version by Levac. The framework consists of a six-stage process to be conducted according to the Preferred Reporting Items for Systematic reviews and Meta-Analysis extension for Scoping Reviews (PRISMA-ScR) reporting guidelines. The search strategy will include the following electronic data bases: Pubmed, Cochrane library, EMBASE, Medline, Science Direct, CINAHL Complete and PsycINFO. The search will include terms related to ‘Anticholinergic burden’, ‘Intellectual disability’, ‘Adverse drug reaction’ and ‘long-term impact’ with Boolean operator ‘and’. The scoping review will include studies with at least 3 months exposure to anticholinergics. The collected data will be mapped as a tabular presentation of the various physical and cognitive adverse effects associated with long-term use of anticholinergics in this group of population.

Anticholinergic burden measures and older people's falls risk: a systematic prognostic review

Introduction

Several adverse outcomes have been associated with anticholinergic burden (ACB), and these risks increase with age. Several approaches to measuring this burden are available but, to date, no comparison of their prognostic abilities has been conducted. This PROSPERO-registered systematic review (CRD42019115918) compared the evidence behind ACB measures in relation to their ability to predict risk of falling in older people.

Methods

Medline (OVID), EMBASE (OVID), CINAHL (EMBSCO) and PsycINFO (OVID) were searched using comprehensive search terms and a validated search filter for prognostic studies. Inclusion criteria included: participants aged 65 years and older, use of one or more ACB measure(s) as a prognostic factor, cohort or case-control in design, and reporting falls as an outcome. Risk of bias was assessed using the Quality in Prognosis Studies (QUIPS) tool.

Results

Eight studies reporting temporal associations between ACB and falls were included. All studies were rated high risk of bias in ⩾1 QUIPS tool categories, with five rated high risk ⩾3 categories. All studies (274,647 participants) showed some degree of association between anticholinergic score and increased risk of falls. Findings were most significant with moderate to high levels of ACB. Most studies (6/8) utilised the anticholinergic cognitive burden scale. No studies directly compared two or more ACB measures and there was variation in how falls were measured for analysis.

Conclusion

The evidence supports an association between moderate to high ACB and risk of falling in older people, but no conclusion can be made regarding which ACB scale offers best prognostic value in older people.

Plain language summary

A review of published studies to explore which anticholinergic burden scale is best at predicting the risk of falls in older people Introduction: One third of older people will experience a fall. Falls have many consequences including fractures, a loss of independence and being unable to enjoy life. Many things can increase the chances of having a fall. This includes some medications. One type of medication, known as anticholinergic medication, may increase the risk of falls. These medications are used to treat common health issues including depression and bladder problems. Anticholinergic burden is the term used to describe the total effects from taking these medications. Some people may use more than one of these medications. This would increase their anticholinergic burden. It is possible that reducing the use of these medications could reduce the risk of falls. We need to carry out studies to see if this is possible. To do this, we need to be able to measure anticholinergic burden. There are several scales available, but we do not know which is best.Methods: We wanted to answer: 'Which anticholinergic scale is best at predicting the risk of falling in older people?'. We reviewed studies that could answer this. We did this in a systematic way to capture all published studies. We restricted the search in several ways. We only included studies relevant to our question.Results: We found eight studies. We learned that people who are moderate to high users of these medications (often people who will use more than one of these medications) had a higher risk of falling. It was less clear if people who have a lower burden (often people who only use one of these medications) had an increased risk of falling. The low number of studies prevented us from determining if one scale was better than another.Conclusion: These findings suggest that we should reduce use of these medications. This could reduce the number falls and improve the well-being of older people.

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

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.