Translated article] Anticholinergic burden and its relationship with cognitive impairment in a neuropsychiatric unit.

Anticholinergic burden and its relationship with cognitive impairment in a neuropsychiatric unit.

Medications with anticholinergic effects are commonly used in nursing homes, and their cumulative effect is of particular concern for the risk of adverse effects on cognition. The relation between cognitive function and anticholinergic burden measured with four scales, the Anticholinergic Cognitive Burden (ACB) Scale, the Anticholinergic Risk Scale, the German Anticholinergic Burden Scale, and the CRIDECO Anticholinergic Load Scale, is assessed according to the hypothesis that a higher anticholinergic burden is associated with reduced cognitive performance. This retrospective cross-sectional multicenter study was conducted in a sample of Italian long-term-care nursing homes (NH). Sociodemographic details, diagnosis, and drug treatments of each NH resident were collected using medical records four times during 2018 and 2019. Cognitive status was rated with the Mini-Mental State Examination (MMSE). The prevalence of anticholinergic use and its burden were calculated referring to the last time point for each patient. A longitudinal analysis was done on NH residents with at least two MMSE between 2018 and 2019 to assess the relation between the anticholinergic load and decline in MMSE. The relationship between drug-related anticholinergic burden and cognitive performance was analyzed using Poisson regression model theory. Multivariate analyses were adjusted according to the known risk factors of reduced cognitive performance available [age, sex, history of stroke or transient ischemic attack (TIA), and number of non-anticholinergic drugs] and for cholinesterase inhibitors. In view of the high number of subjects with an MMSE score = 0 among residents with dementia, for this group a zero-inflated Poisson regression model was used to give more consistent results. The association of anticholinergic burden with mortality was examined from each patient's last visit using a multivariate logistic model adjusted for age, sex, and Charlson Comorbidity Index (CCI). Among 1412 residents recruited, a clear direct relationship was found between higher anticholinergic burden and cognitive impairment only for the Anticholinergic Cognitive Burden Scale. Residents taking an anticholinergic who scored 5 or more had 2.5 points more decline than those not taking them (p < 0.001). Among residents without dementia there was a trend toward direct relationship for the Anticholinergic Cognitive Burden Scale and the Anticholinergic Risk Scale. Residents with higher scores had about 2 points more decline than residents not taking anticholinergic drugs. No relation was found between anticholinergic burden and cognitive decline or mortality. The cumulative effect of medications with modest antimuscarinic activity may influence the cognitive performance of NH residents. The anticholinergic burden measured with the ACB scale should help identify NH residents who may benefit from reducing the anticholinergic burden. A clear direct relationship between anticholinergic burden and cognitive impairment was found only for the ACB Scale.

People with chronic kidney disease (CKD) have an elevated risk of cognitive impairment (CI). Medications with anticholinergic activity are recognized for their adverse reactions on central nervous system. The putative association between the anticholinergic burden and CI has not previously been evaluated in patients with CKD. The study aimed to (i) describe prescriptions of medications with anticholinergic activity, (ii) analyze factors associated with these prescriptions, and (iii) evaluate the anticholinergic burden's association with cognitive performance. CKD-REIN, a prospective cohort study, enrolled nephrology outpatients with a confirmed diagnosis of CKD (eGFR <60 mL/min/1.73m2). Drug prescriptions were recorded prospectively during the 5-year follow-up. Mini Mental State Examination (MMSE) was assessed at baseline and CI was defined as an MMSE score <24/30. For each patient, the anticholinergic burden was determined by summing the Anticholinergic Cognitive Burden (ACB) scores of all prescription drugs at baseline. Multinomial logistic regression was used to analyze factors associated with the ACB score. Logistic regression was used to evaluate the association between the cognitive impairment and the anticholinergic burden at baseline. At baseline, 3007 patients (median age [IQR], 69[60-76]; 65% men) had MMSE data and were included. 1549 (52%) of these patients were taking at least one drug with anticholinergic properties. Most (1092; 70%) had a low anticholinergic burden, 294 (19%) had a moderate anticholinergic burden, and 163 (11%) had a high anticholinergic burden. A history of neurological/psychiatric disorders and a higher number of daily drugs were associated with a greater probability of having a high anticholinergic burden (odds ratio (OR) [95% confidence interval (95% CI)] = 1.88[1.29;2.74] and 1.53[1.45;1.61], respectively). Patients with a high anticholinergic burden had a significantly higher probability of presenting cognitive impairment, compared with patients without an anticholinergic burden (OR[95% CI] = 1.76[1.12;2.75]) after adjustment for sociodemographic factors, comorbidities, laboratory data, and the number of medications taken daily. The results of our study emphasize the need for caution in the prescription of drugs with anticholinergic properties to patients with CKD.

Background and Aims People with chronic kidney disease (CKD) have an elevated risk of cognitive impairment (CI). Medications with anticholinergic activity are recognized for their adverse reactions on central nervous system. The putative association between the anticholinergic burden and CI has not previously been evaluated in patients with CKD. The study aimed to (i) describe prescriptions of medications with anticholinergic activity, (ii) analyze factors associated with these prescriptions, and (iii) evaluate the anticholinergic burden's association with cognitive performance. Method CKD-REIN, a prospective cohort study, enrolled nephrology outpatients with a confirmed diagnosis of CKD (eGFR &amp;lt; 60 mL/min/1.73 m2). Drug prescriptions were recorded prospectively during the 5-year follow-up. Mini Mental State Examination (MMSE) was assessed at baseline and CI was defined as an MMSE score &amp;lt;24/30. For each patient, the anticholinergic burden was determined by summing the Anticholinergic Cognitive Burden (ACB) scores of all prescription drugs at baseline. Multinomial logistic regression was used to analyze factors associated with the ACB score. Logistic regression was used to evaluate the association between the cognitive impairment and the anticholinergic burden at baseline. Results At baseline, 3007 patients (median age [IQR], 69[60–76]; 65% men) had MMSE data and were included. 1549 (52%) of these patients were taking at least one drug with anticholinergic properties. Most (1092; 70%) had a low anticholinergic burden, 294 (19%) had a moderate anticholinergic burden, and 163 (11%) had a high anticholinergic burden. A history of neurological/psychiatric disorders and a higher number of daily drugs were associated with a greater probability of having a high anticholinergic burden (odds ratio (OR) [95% confidence interval (95% CI)] = 1.88 [1.29; 2.74] and 1.53 [1.45; 1.61], respectively). Patients with a high anticholinergic burden had a significantly higher probability of presenting cognitive impairment, compared with patients without an anticholinergic burden (OR [95% CI] = 1.76 [1.12; 2.75]) after adjustment for sociodemographic factors, comorbidities, laboratory data, and the number of medications taken daily. Anxiolytic agents (hydroxyzine) and antidepressants (amitriptyline) were the most used drug classes with a high anticholinergic score. Conclusion The results of our study emphasize the need for caution in the prescription of drugs with anticholinergic properties to patients with CKD.

Medications with anticholinergic properties are commonly prescribed to older adults with a pre-existing diagnosis of dementia or cognitive impairment. 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 a high anticholinergic burden may be a risk factor for further cognitive decline or neuropsychiatric disturbances in people with dementia. Neuropsychiatric disturbances are the most frequent complication of dementia that require hospitalisation, accounting for almost half of admissions; hence, identification of modifiable prognostic factors for these outcomes is crucial. There are various scales available to measure anticholinergic burden but agreement between them is often poor. Our primary objective was to assess whether anticholinergic burden, as defined at the level of each individual scale, was a prognostic factor for further cognitive decline or neuropsychiatric disturbances in older adults with pre-existing diagnoses of dementia or cognitive impairment. Our secondary objective was to investigate whether anticholinergic burden was a prognostic factor for other adverse clinical outcomes, including mortality, impaired physical function, and institutionalisation. We searched these databases from inception to 29 November 2021: MEDLINE OvidSP, Embase OvidSP, PsycINFO OvidSP, CINAHL EBSCOhost, and ISI Web of Science Core Collection on ISI Web of Science. We included prospective and retrospective longitudinal cohort and case-control observational studies, with a minimum of one-month follow-up, which examined the association between an anticholinergic burden measurement scale and the above stated adverse clinical outcomes, in older adults with pre-existing diagnoses of dementia or cognitive impairment. DATA COLLECTION AND ANALYSIS: Two review authors independently assessed studies for inclusion, and undertook data extraction, risk of bias assessment, and GRADE assessment. We summarised risk associations between anticholinergic burden and all clinical outcomes in a narrative fashion. We also evaluated the risk association between anticholinergic burden and mortality using a random-effects meta-analysis. We established adjusted pooled rates for the anticholinergic cognitive burden (ACB) scale; then, as an exploratory analysis, established pooled rates on the prespecified association across scales. MAIN RESULTS: We identified 18 studies that met our inclusion criteria (102,684 older adults). Anticholinergic burden was measured using five distinct measurement scales: 12 studies used the ACB scale; 3 studies used the Anticholinergic Risk Scale (ARS); 1 study used the Anticholinergic Drug Scale (ADS); 1 study used the Anticholinergic Effect on Cognition (AEC) Scale; and 2 studies used a list developed by Tune and Egeli. Risk associations between anticholinergic burden and adverse clinical outcomes were highly heterogenous. Four out of 10 (40%) studies reported a significantly increased risk ofgreater long-term cognitive decline for participants with an anticholinergic burden compared to participants with no or minimal anticholinergic burden. No studies investigated neuropsychiatric disturbance outcomes. One out of four studies (25%) reported a significant association with reduced physical function for participants with an anticholinergic burden versus participants with no or minimal anticholinergic burden. No study (out of one investigating study) reported a significant association between anticholinergic burden and risk of institutionalisation. Six out of 10 studies (60%) found a significantly increased risk of mortality for those with an anticholinergic burden compared to those with no or minimal anticholinergic burden. Pooled analysis of adjusted mortality hazard ratios (HR) measured anticholinergic burden with the ACB scale, and suggested a significantly increased risk of death for those with a high ACB score relative to those with no or minimal ACB scores (HR 1.153, 95% confidence interval (CI) 1.030 to 1.292; 4 studies, 48,663 participants). An exploratory pooled analysis of adjusted mortality HRs across anticholinergic burden scales also suggested a significantly increased risk of death for those with a high anticholinergic burden (HR 1.102, 95% CI 1.044 to 1.163; 6 studies, 68,381 participants). Overall GRADE evaluation of results found low- or very low-certainty evidence for all outcomes. AUTHORS' CONCLUSIONS: There is low-certainty evidence that older adults with dementia or cognitive impairment who have a significant anticholinergic burden may be at increased risk of death. No firm conclusions can be drawn for risk of accelerated cognitive decline, neuropsychiatric disturbances, decline in physical function, or institutionalisation.

Prescribing of medications with anticholinergic properties in older nursing home residents is relatively common, despite an association with an increased risk for falls, delirium, and other outcomes. Few studies have investigated what factors influence different levels of prescribing of these agents. The primary objective was to identify factors associated with low- and high-level anticholinergic burden in nursing home residents. A secondary objective was to examine in detail the contribution of different medications to low versus high burden to aid in determining which drugs to target in interventions. This was a retrospective, cross-sectional analysis of a national sample of 2009-2010 Medicare Part A and B claims, Part D prescription drug events, and Minimum Data Set (MDS) v2.0 assessments. The cohort included 4730 Medicare beneficiaries aged≥65years with continuous Medicare Parts A, B, and D enrollment, admitted for non-skilled stays of≥14days between 1 January 2010 and 30 September 2010. Anticholinergic burden was defined using the Anticholinergic Cognitive Burden (ACB) scale. Medication scores were summed at the patient level and categorized as high (score≥3), low (score 1-2), or none. Baseline predisposing factors (age, sex, race/ethnicity), enabling factors (prior year hospitalization, emergency department, primary care, specialist visits; region; Medicaid/low-income subsidy), and medical need factors (dementia severity, anti-dementia medication, Charlson co-morbidity index [CCI], select comorbidities) were evaluated for association with anticholinergic burden using multinomial logistic regression. Overall, 29.6% of subjects had a high anticholinergic burden and 35.2% had a low burden. High burden was most often (72%) due to one highly anticholinergic medication rather than a cumulative effect. In adjusted analyses, factors associated with increased risk of both low and high anticholinergic burden included comorbidity, antidementia medication, depression, hypertension, and prior year hospitalization. Older age was associated with decreased odds of high anticholinergic burden. Urinary incontinence and prior year specialist visit were associated with increased odds of high anticholinergic burden. Severe and nonsevere dementia were associated with decreased odds of low burden but increased odds of high burden. Almost two-thirds of nursing home patients have some degree of anticholinergic burden. Several medical need variables are significantly associated with increased risk for low and high anticholinergic burden. Interventions should be developed to optimize prescribing for residents at increased risk of receiving medications with anticholinergic properties. Future study is needed to evaluate the difference in the risk of adverse outcomes associated with various levels of anticholinergic burden.

BackgroundExposure to high anticholinergic burden is associated with adverse outcomes in older adults. Older adults with frailty have greater vulnerability to adverse anticholinergic effects. There is limited data on anticholinergic burden in hospitalised older adults with frailty particularly, in New Zealand. This study aimed to (i) examine exposure to anticholinergic medicines in older inpatients using multiple scales, and (ii) describe the association of patient factors such as frailty with anticholinergic exposure.MethodsWe reviewed admission and discharge medicines of 222 older patients (≥ 65 years) in a New Zealand hospital. Sociodemographic, diagnostic and medication data were collected from electronic health records. Anticholinergic burden was quantified using the Anticholinergic Burden Classification (ABC), Anticholinergic Cognitive Burden Scale (ACB), Anticholinergic Risk Scale (ARS), and Drug Burden Index (DBI). Frailty was assessed using frailty index (FI) and the Hospital Frailty Risk score (HFRS); higher scores indicate higher frailty. Multivariable logistic regression analysis was used to determine patient factors associated with anticholinergic burden.ResultsDepending on the scale used, the mean anticholinergic burden ranged from 0.65 to 1.83 on admission and 0.59 to 1.40 at discharge, with 32–74% of the patients on admission and 25–65% at discharge prescribed at least one anticholinergic medicine. About 1 in 3 patients had high anticholinergic burden on admission and discharge. On admission, being frail (adjusted odds ratio [AOR] 5.16, 95% confidence interval [95% CI] 1.57, 16.97), having history of readmission (AOR 4.96, CI 1.58, 15.59), and higher number of medicines [AOR range 1.18 CI 1.10, 1.26 (ARS scale) to 1.25 CI 1.15, 1.36 (DBI scale)] were associated with higher odds of anticholinergic exposure. At discharge, pre-frail (DBI scale: AOR = 6.58, CI 1.71–25.32) and frail patients (ACB scale: AOR = 5.73, CI 1.66, 19.70) and those with higher number of medicines [AOR range 1.18 CI 1.09, 1.29 (ARS scale) to 1.33 CI 1.20, 1.49 (DBI scale)] had higher odds of anticholinergic exposure.ConclusionA reduction in the anticholinergic burden from admission to discharge was observed in the study population yet, one-third of the study cohort were discharged with high anticholinergic medicines. Enhancing hospital prescribers’ and pharmacists’ awareness about anticholinergic burden and targeted interventions such as in-hospital deprescribing are needed to reduce high anticholinergic exposure in acute setting.

BackgroundThe aim of this study was to examine the risk of fall with the surrogate outcome of the Aachen Falls Prevention Scale and to assess the clinical pharmacist interventions in order to minimize anticholinergic drug burden and associated risk of fall according to a fall risk assessment scale in the older adults.MethodsPatients who admitted to the geriatric outpatient clinic of a university hospital and taking at least one anticholinergic drug were evaluated both retrospectively and prospectively as groups of different patients by the clinical pharmacist. Patients’ anticholinergic burden was assessed using the Anticholinergic Cognitive Burden Scale. For fall risk assessment, the Aachen Falls Prevention Scale was also administered to each patient whose anticholinergic burden was determined in the prospective phase of the study.ResultsA total of 601 patients were included. Risk of falls increased 2.50 times in patients with high anticholinergic burden (OR (95% CI) = 2.503 (1.071–5.852); p = 0.034), and the existing history of falls increased the risk of high anticholinergic burden 2.02 times (OR (95%CI) = 2.026 (1.059–3.876); p = 0.033). In addition, each unit increase in the fall scale score in the prospective phase increased the risk of high anticholinergic burden by 22% (p = 0.028). Anticholinergic burden was significantly reduced as a result of interventions by the clinical pharmacist in the prospective phase (p = 0.010).ConclusionOur study revealed that incorporating a clinical pharmacist in the handling of geriatric patients aids in the detection, reduction, and prevention of anticholinergic adverse effects.

Introduction Anticholinergic medications are commonly prescribed to older patients, particularly nursing home patients. Anticholinergic burden caused by these medications increases the risk of cognitive impairment, falls, delirium and increased mortality in this patient cohort. There are several published tools available to assess the impact of anticholinergic burden on patient negative outcomes (e.g. falls, cognitive impairment, hospitalisation, mortality). The Anticholinergic Cognitive Burden (ACB) scale is a validated tool which calculates a patient’s total anticholinergic medication score, to allow an estimation of cognitive burden (1). Aim The aim of this study was to describe the anticholinergic cognitive burden of medications in a cohort of nursing home patients using the ACB scale. Methods An observational study was conducted which involved screening patients’ pharmacy dispensing records for three nursing homes. All nursing homes which the pharmacy provides services for were sent an information leaflet and invited to participate, three agreed, with Directors of Nursing and General Practitioners providing consent. Medications contributing to Anticholinergic cognitive burden were recorded in Microsoft Excel by the researcher and patients total ACB score was calculated (1). A sample of 20% of patient scores was independently checked by another researcher for accuracy. Patients’ comorbidity data and cognitive function measure (Mini Mental State Examination or Mental Test Score) was recorded from their nursing home records by the researcher. Long-term nursing home patients ≥65-years-old were eligible for inclusion. Descriptive analysis was conducted. Results In total, the medications of 254 patients were assessed using the ACB score (63.4% female, mean age 83.5 ±7.79 -years-old). Of these, 195/254 (76.8%) were prescribed at least one anticholinergic medication. There were 132/254 (51.9%) patients with a total ACB score of ≥3 which is clinically significant and increases the risk of negative outcomes. The three most commonly prescribed anticholinergics were quetiapine (82/254, 32.3%), olanzapine (32/254, 12.6%) and furosemide (31/254, 12.2%). Of the patients with an ACB score ≥3, 58/132 (49.9%) had dementia and 63/132 had hypertension (47.7%). Conclusion This study highlights the high prevalence of anticholinergic medication prescribing in an Irish nursing home population. This is high in comparison with other European and international studies where lower ACB scores in nursing home populations have been recorded (2). The study was limited as it was only conducted in three nursing homes, a larger study may identify different prescribing patterns and ACB scores. Further work in pharmacy practice to include the ACB score as part of patients’ medication reviews is recommended. Collaboration with nursing home prescribers and nurses to increase awareness of anticholinergic medication risks and review is vital. Reductions in ACB scores would reduce the risk of falls, cognitive impairment and harm to these patients.

Drugs with anticholinergic properties are considered potentially inappropriate in patients with cognitive impairment because harms-including delirium, falls, and fractures-may outweigh benefits. To 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. We conducted a retrospective cohort study in a not-for-profit, integrated delivery system. Participants included community-dwelling adults aged 65years 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. Twenty-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. Cardiovascular 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.

Background Despite growing interest in the negative clinical outcomes of multiple anticholinergic use, limited studies have evaluated anticholinergic burden in the geriatric population nationally. Objective To evaluate the prevalence of high anticholinergic burden using the newly developed Korean Anticholinergic Burden Scale in comparison with previous tools and to identify associated factors. Setting National insurance data from a cross section (20%) of older Koreans (2016). Methods Anticholinergic burden was measured using the Korean scale in comparison to the Anticholinergic Drug Scale, Anticholinergic Cognitive Burden, and Anticholinergic Risk Scale. High anticholinergic burden was defined as a summed score of ≥ 3 for concurrent medications or a dose-standardized average daily score of ≥ 3, using each anticholinergic scale. Main outcomes measured Prevalence and predictors of high anticholinergic burden. Results Data of 1,292,323 patients were analyzed. According to the Korean scale, the prevalence of high anticholinergic burden was 25.5%. This result was similar to that from the Anticholinergic Drug Scale (24.9%) and Anticholinergic Cognitive Burden (22.2%). Factors associated with an increased likelihood of anticholinergic burden include: age, gender (female), high Charlson comorbidity index score, polypharmacy, medical aid beneficiary, co-morbidities (such as schizophrenia, depression, urinary incontinence, and Parkinson's disease), frequent healthcare visits, various healthcare facilities utilized, and predominantly visiting hospital-level facilities. According to the Korean Anticholinergic Burden Scale, the major drugs contributing to the anticholinergic burden were ranitidine, chlorpheniramine, tramadol, and dimenhydrinate. Conclusion This study showed that 1 in 4 older Koreans are exposed to high anticholinergic burden. The predictors identified in this research might assist pharmacists in early interventions for their patients.

Background: The use of drugs with anticholinergic effects among elderly patients is associated with adverse clinical outcomes. There is paucity of information about anticholinergic drug burden among Nigerian elderly population.Objectives: To determine the anticholinergic drug burden among elderly Nigerian patients.Methods: This was a retrospective cross-sectional study conducted among elderly patients (aged 65 and above) who visited the Family Medicine outpatients’ clinics of the Ekiti State University Teaching Hospital, Ado-Ekiti, Nigeria between July 1 and October 31, 2018. Information extracted from the case files included patient’s age, sex, diagnoses, and list of prescribed medications. Medicines with anticholinergic effects were identified and scored using the anticholinergic drug burden calculator (http://www.acbcalc.com).Results: The medical records of 400 patients were analyzed with females accounting for 60.5% of the study population. The mean age of participants was 73 ± 7.4 years with only 28 (7%) of patients having more than two co-morbid conditions. Polypharmacy was identified in 152 (38%) of the patients while 147 (36.7%) had drugs with anticholinergic effects prescribed. The anticholinergic burden was high in 60 (15%) patients. Polypharmacy was significantly associated with having more than two diagnosed conditions and high anticholinergic burden (p value of < 0 .001 and 0.013 respectively). There was significant correlation between total number of prescribed drugs and count of diagnoses (r = 0.598; p < 0 .000) and between total number of prescribed drugs and number of drugs with anticholinergic effects (r = 0 .196; p < 0 .000).Conclusion: The anticholinergic burden in this group of elderly Nigerian patients was low; majority (67%) had no exposure to drugs with anticholinergic effects with only 15% having high anticholinergic burden. Polypharmacy and multiple diagnosed conditions were positively associated with high anticholinergic burden. Based on the positive and significant correlations found in this study, a reduction in the number of prescribed medicines especially those with significant anticholinergic effects used for secondary indications may lessen the anticholinergic burden among the elderly.

BackgroundWith higher age, frailty escalates the risk of falls, unexpected physical dysfunction, hospitalization, and mortality. Polypharmacy in the older population is a major challenge that not only increases medical costs, but also may worsen the risk of hospitalization and death. More importantly, the properties of anti-cholinergic drugs contribute various negative effects. This study aimed to investigate the sex difference in the association of polypharmacy, anticholinergic burden, and frailty with mortality.MethodsParticipants older than 65 years who attended the geriatric outpatient clinic of the study center between January 2015 and July 2020 were invited to participate in this retrospective study. Comprehensive geriatric assessment data were collected and the phenotype of frailty was determined by Fried’s criteria. Cox regression and the Kaplan–Meier curve were used to identify risk factors of 5-year survival along with intergroup differences in the risks.ResultsOf the 2,077 participants, 47.5% were female. The prevalence of frailty and the rate of polypharmacy were 44.7% and 60.6%, respectively. Higher age, male sex, low body mass index, low Mini-Mental State Examination scores, low activities of daily living, frailty status, polypharmacy, and a high Charlson Comorbidity Index score, and greater anticholinergic burden were significant risk factors that were associated with the 5-year all-cause mortality. Male patients with frailty exhibited the highest risks of mortality compared with male patients without frailty and female patients with or without frailty. Polypharmacy was significantly associated with a higher 5-year mortality rate in the frail male group compared with the non-frail male. In frail female group, individuals with a higher anticholinergic burden (as indicated by the Anticholinergic Cognitive Burden Scale) from drug usage exhibited an elevated 5-year mortality rate.ConclusionsPolypharmacy and greater anticholinergic burden, synergistically interacted with frailty and intensified the 5-year mortality risk in a gender-specific manner. To mitigate mortality risks, clinicians should prudently identify polypharmacy and anticholinergic burden in the older population.

Drugs with anticholinergic effects are associated with adverse events such as delirium and falls as well as cognitive decline and loss of independence. The aim of the study was to evaluate the association between anticholinergic burden and both cognitive and functional status, according to the hypothesis that the cumulative anticholinergic burden, as measured by the Anticholinergic Cognitive Burden (ACB) Scale and Anticholinergic Risk Scale (ARS), increases the risk of cognitive decline and impairs activities of daily living. This cross-sectional, prospective study (3-month telephone follow-up) was conducted in 66 Italian internal medicine and geriatric wards participating in the Registry of Polytherapies SIMI (Società Italiana di Medicina Interna) (REPOSI) study during 2010. The sample included 1,380 inpatients aged 65 years or older. Cognitive status was rated with the Short Blessed Test (SBT) and physical function with the Barthel Index. Each patient's anticholinergic burden was evaluated using the ACB and ARS scores. The mean SBT score for patients treated with anticholinergic drugs was higher than that for patients receiving no anticholinergic medications as also indicated by the ACB scale, even after adjustment for age, sex, education, stroke and transient ischaemic attack [9.2 (95 % CI 8.6-9.9) vs. 8.5 (95 % CI 7.8-9.2); p = 0.05]. There was a dose-response relationship between total ACB score and cognitive impairment. Patients identified by the ARS had more severe cognitive and physical impairment than patients identified by the ACB scale, and the dose-response relationship between this score and ability to perform activities of daily living was clear. No correlation was found with length of hospital stay. Drugs with anticholinergic properties identified by the ACB scale and ARS are associated with worse cognitive and functional performance in elderly patients. The ACB scale might permit a rapid identification of drugs potentially associated with cognitive impairment in a dose-response pattern, but the ARS is better at rating activities of daily living.

Anticholinergic Burden and Cognitive Impairment in Patients with Heart Failure