Anticholinergic Drug Induced Cognitive and Physical Impairment: Results from the InCHIANTI Study

Medication use quality and safety in older adults: 2022 update

Improving the quality of medication use and medication safety are important priorities for healthcare providers who care for older adults. The objective of this article was to identify four exemplary articles with this focus in 2022. We selected high-quality studies from an OVID search and hand searching of major high impact journals that advanced the field of research forward. The chosen articles cover domains related to deprescribing, medication safety, and optimizing medication use. The MedSafer Study, a cluster randomized clinical trial in Canada, evaluated whether patient specific deprescribing reports generated by electronic decision support software resulted in reduced adverse drug events in the 30 days post hospital discharge in older adults (domain: deprescribing). The second study, a retrospective cohort study using data from Premier Healthcare Database, examined in-hospital adverse clinical events associated with perioperative gabapentin use among older adults undergoing major surgery (domain: medication safety). The third study used an open-label parallel controlled trial in 39 Australian aged-care facilities to examine the effectiveness of a pharmacist-led intervention to reduce medication-induced deterioration and adverse reactions (domain: optimizing medication use). Lastly, the fourth study engaged experts in a Delphi method process to develop a consensus list of clinically important prescribing cascades that adversely affect older persons' health to aid clinicians to identify, prevent, and manage prescribing cascades (domain: optimizing medication use). Collectively, this review succinctly highlights pertinent topics related to promoting safe use of medications and promotes awareness of optimizing older adults' medication regimens.

Exploring the impact of anticholinergic burden on urinary independence: insights from a post-stroke cohort of older adults

BACKGROUND

Anticholinergic burden is associated with adverse events in the older adults. However, there is a lack of evidence regarding its effect on urinary independence in stroke patients.

AIM

This study examined the association between increased anticholinergic burden during hospitalization and urinary independence in post-stroke patients undergoing rehabilitation.

METHOD

This observational cross-sectional study included stroke patients admitted to a post-acute rehabilitation hospital between 2020 and 2022 who were not independently urinating. The degree of urinary independence was assessed using the Functional Independence Measure-Bladder (FIM-Bladder), a subscale of the motor domain of the FIM, and urinary independence was defined as FIM-Bladder ≥ 6. Anticholinergic burden was assessed using the anticholinergic risk scale (ARS), and changes in ARS during hospitalization were calculated by subtracting the value at admission from the value at discharge. The study outcome was urinary independence at discharge. Logistic regression analysis was used to examine whether change in ARS score was independently associated with the outcome. Statistical significance was set at P < 0.05.

RESULTS

Of the 573 patients enrolled, 312 patients (mean age 77.5 years, 51.9% male) were included in the analysis. ARS increased during hospitalization in 57 patients (18.3%). Change in ARS score was independently associated with urinary independence (odds ratio: 0.432, 95% confidence interval: 0.247-0.756, P = 0.003).

CONCLUSION

Increased anticholinergic burden in post-stroke patients who require assistance with urination is significantly associated with less independent urination. Anticholinergic agents may need to be introduced cautiously in patients who require assistance with urination.

Increased anticholinergic medication use in middle-aged and older autistic adults and its associations with self-reported memory difficulties and cognitive decline

Many commonly used prescription and over-the-counter medicines have potent anticholinergic (AC) effects. Among older adults, AC medications are associated with cognitive impairment and risk for cognitive disorders, including Alzheimer's disease. Collectively, the impact of AC medications is known as anticholinergic cognitive burden (ACB). Because of the high rates of co-occurring medical and psychiatric conditions, autistic adults may have high AC exposure and, thus, may experience elevated ACB. However, no research has characterized AC exposure or examined its associations with cognitive outcomes in autistic adults. Autistic adults (40-83 years) recruited via Simons Powering Autism Research's (SPARK) Research Match service self-reported their medication use (N = 415) and memory complaints (N = 382) at Time (T)1. At T2, 2 years later, a subset of T1 participants (N = 197) self-reported on decline in cognition. Medications were coded using two scales of AC potency. A high proportion (48.2%-62.9%, depending upon the AC potency scale) of autistic adults reported taking at least one medication with AC effects, and 20.5% to 26.5% of autistic adults reported clinically-relevant levels of AC medication (potency ≥3). After controlling for birth-sex, and age, hierarchical linear regression models showed total ACB scores and AC potency values of ≥3 predicted greater memory complaints. Logistic regression models showed that AC medicines at T1 were associated with self-reported cognitive decline at follow-up 2 years later. Understanding AC medications-including potentially earlier AC polypharmacy-and their impacts on cognition (e.g., dementia risk) in autistic adults is warranted.

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.

Low-Income Older Adults' Vulnerability to Anticholinergic Medication-Associated Frailty

BACKGROUND

A growing body of research supports the negative impact of anticholinergic drug burden on physical frailty. However, prior research has been limited to homogeneous white European populations, and few studies have evaluated how anticholinergic burden tools compare in their measurement function and reliability with minority community-dwelling adult populations. This study investigated the association between anticholinergic drug exposure and frailty by conducting a sensitivity analysis using multiple anticholinergic burden tools in a diverse cohort.

METHODS

A comprehensive psychometric approach was used to assess the performance of five clinical Anticholinergic Burden Tools: Anticholinergic Cognitive Burden Scale (ACB), Anticholinergic Drug Scale (ADS), average daily dose, total standardized daily doses (TSDD), and Cumulative Anticholinergic Burden scale (CAB). Spearman correlation matrix and intraclass correlation coefficients (ICC) were used to determine the association among the variables. Ordinal logistic regression is used to evaluate the anticholinergic burden measured by each scale to determine the prediction of frailty. Model performance is determined by the area under the curve (AUC).

RESULTS

The cohort included 80 individuals (mean age 69 years; 55.7% female, 71% African American). All anticholinergic burden tools were highly correlated (p < 0.001), ICC3 0.66 (p < 0.001, 95% confidence interval (CI) 0.53-0.73). Among individuals prescribed anticholinergics, 33% were robust, 44% were prefrail, and 23% were frail. All five tools predicted prefrail and frail status (p < 0.05) with low model misclassification rates for frail individuals (AUC range 0.78-0.85).

CONCLUSION

Anticholinergic burden tools evaluated in this cohort of low-income African American older adults were highly correlated and predicted prefrail and frail status. Findings indicate that clinicians can select the appropriate instrument for the clinic setting and research question while maintaining confidence that all five tools will produce reliable results. Future anticholinergic research is needed to unravel the association between interventions such as deprescribing on incident frailty in longitudinal data.

The A-to-Z factors associated with cognitive impairment. Results of the DeCo study

Introduction

Cognitive impairment (CI) is known to be mediated by several risk and protective factors, many of which are potentially modifiable. Therefore, it is important to have up-to-date studies that address a standard assessment of psychosocial, clinical and lifestyle variables.

Materials and methods

We conducted a cross-sectional observational study, with a 24-month timeframe, to estimate the relationship between risk and protective factors associated with dementia, according to the A-to-Z Dementia Knowledge. Participants were considered at CI risk if they tested positive for at least one of three validated CI screening tests: The Memory Impairment Screening, Short Portable Mental State Questionnaire, and Semantic Verbal Fluency. The A-to-Z data Collection included Mediterranean Diet Adherence Screener and Geriatric Depression Scale.

Results

The estimated prevalence of CI was 22.6% in a sample of 709 patients with an average of 69.3±10.3 years. The risk factors gradually associated with cognitive decline were hypertension, loneliness, and depression. In contrast, the protective factors gradually associated with less cognitive decline were internet use, reading, and intellectually stimulating jobs. Finally, living alone, having diabetes, taking benzodiazepines, and sleeping more than 9 h were statistically significant associated with CI, whereas to do memory training or a family history of dementia was characteristic of patients without CI.

Conclusion

A joint assessment of the influence of psychosocial, clinical, and lifestyle-related factors is needed to develop dementia prevention strategies.

Multimorbidity Clusters in the Oldest Old: Results from the EpiChron Cohort

Multimorbidity is challenging for both patients and healthcare systems due to its increasing prevalence and high impact on people's health and well-being. The risk of multimorbidity increases with age, but there is still more to discover regarding the clinical profile of the oldest old. In this study, we used information from the EpiChron Cohort Study to identify multimorbidity patterns in individuals who died during the period 2010-2019 at the ages of 80-89, 90-99, and ≥100. This cohort links the demographic, clinical, and drug dispensation information of public health system users in Aragón, Spain. We saw a significantly lower number of chronic diseases and drugs and a lower prevalence of polypharmacy in centenarians compared to those aged 80-99. K-means clustering revealed different multimorbidity clusters by sex and age group. We observed clusters of cardiovascular and metabolic diseases, obstructive pulmonary conditions, and neoplasms, amongst other profiles. One in three octogenarian women had a metabolic pattern (diabetes, dyslipidaemia, and other endocrine-metabolic disorders) with the highest number of diseases (up to seven) and prevalence of polypharmacy (64%). We observed clusters of dementia and genitourinary disorders in individuals on medication with anticholinergic activity. Our study offers an opportunity to better understand the urgency of adequately addressing multimorbidity in our older adults.

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

This study aimed to establish whether anticholinergic load affects the swallowing function of geriatric stroke patients in convalescent stages, as no proven association between the anticholinergic load-based Anticholinergic Risk Scale and the swallowing dysfunction in Japanese patients was known. A retrospective cohort study was conducted on hospitalized older patients undergoing rehabilitation after stroke. The study outcomes included evaluating the patients at hospital discharge using the Functional Oral Intake Scale. To evaluate the effects of an increased anticholinergic load, we used a multivariate analysis to examine whether the change in the Anticholinergic Risk Scale during hospitalization was associated with the outcome. Of 542 enrolled patients, 345 (63.7%) presented with cerebral infarction, 148 (27.3%) with intracerebral hemorrhage, and 49 (9%) with subarachnoid hemorrhage. The change in the Anticholinergic Risk Scale was independently associated with the Functional Oral Intake Scale (β = −0.118, p = 0.0164) at discharge. Among anticholinergics, the use of chlorpromazine, hydroxyzine, haloperidol, metoclopramide, risperidone, etc., increased significantly from admission to discharge. An increased anticholinergic load was associated with swallowing dysfunction in older patients undergoing stroke rehabilitation.

Anticholinergic Medication Burden in Parkinson's Disease Outpatients

BACKGROUND

Individuals with Parkinson's disease (PD) may be especially vulnerable to future cognitive decline from anticholinergic medications.

OBJECTIVE

To characterize anticholinergic medication burden, determine the co-occurrence of anticholinergic and cholinesterase inhibitors, and to assess the correlations among anticholinergic burden scales in PD outpatients.

METHODS

We studied 670 PD outpatients enrolled in a clinic registry between 2012 and 2020. Anticholinergic burden was measured with the Anticholinergic Cognitive Burden Scale (ACB), Anticholinergic Drug Scale (ADS), Anticholinergic Risk Scale (ARS), and Drug Burden Index-Anticholinergic component (DBI-Ach). Correlations between scales were assessed with weighted kappa coefficients.

RESULTS

Between 31.5 to 46.3% of PD patients were taking medications with anticholinergic properties. Among the scales applied, the ACB produced the highest prevalence of medications with anticholinergic properties (46.3%). Considering only medications with definite anticholinergic activity (scores of 2 or 3 on ACB, ADS, or ARS), the most common anticholinergic drug classes were antiparkinsonian (8.2%), antipsychotic (6.4%), and urological (3.3%) medications. Cholinesterase inhibitors and medications with anticholinergic properties were co-prescribed to 5.4% of the total cohort. The most highly correlated scales were ACB and ADS (κ= 0.71), ACB and ARS (κ= 0.67), and ADS and ARS (κ= 0.55).

CONCLUSION

A high proportion of PD patients (20%) were either taking antiparkinsonian, urological, or antipsychotic anticholinergic medications or were co-prescribed anticholinergic medications and cholinesterase inhibitors. By virtue of its detection of a high prevalence of anticholinergic medication usage and its high correlation with other scales, our data support use of the ACB scale to assess anticholinergic burden in PD patients.

Latent Neuropsychological Profiles to Discriminate Mild Traumatic Brain Injury and Posttraumatic Stress Disorder in Active-Duty Service Members

OBJECTIVE

To determine whether cognitive and psychological symptom profiles differentiate clinical diagnostic classifications (eg, history of mild traumatic brain injury [mTBI] and posttraumatic stress disorder [PTSD]) in military personnel.

METHODS

US Active-Duty Service Members (N = 209, 89% male) with a history of mTBI (n = 56), current PTSD (n = 23), combined mTBI + PTSD (n = 70), or orthopedic injury controls (n = 60) completed a neuropsychological battery assessing cognitive and psychological functioning. Latent profile analysis was performed to determine how neuropsychological outcomes of individuals clustered together. Diagnostic classifications (ie, mTBI, PTSD, mTBI + PTSD, and orthopedic injury controls) within each symptom profile were examined.

RESULTS

A 5-profile model had the best fit. The profiles differentiated subgroups with high (34.0%) or normal (21.5%) cognitive and psychological functioning, cognitive symptoms (19.1%), psychological symptoms (15.3%), and combined cognitive and psychological symptoms (10.0%). The symptom profiles differentiated participants as would generally be expected. Participants with PTSD were mainly represented in the psychological symptom subgroup, while orthopedic injury controls were mainly represented in the high-functioning subgroup. Further, approximately 79% of participants with comorbid mTBI and PTSD were represented in a symptomatic group (∼24% = cognitive symptoms, ∼29% = psychological symptoms, and 26% = combined cognitive/psychological symptoms). Our results also showed that approximately 70% of military personnel with a history of mTBI were represented in the high- and normal-functioning groups.

CONCLUSIONS

These results demonstrate both overlapping and heterogeneous symptom and performance profiles in military personnel with a history of mTBI, PTSD, and/or mTBI + PTSD. The overlapping profiles may underscore why these diagnoses are often difficult to diagnose and treat, but suggest that advanced statistical models may aid in identifying profiles representing symptom and cognitive performance impairments within patient groups and enable identification of more effective treatment targets.

CRIDECO Anticholinergic Load Scale: An Updated Anticholinergic Burden Scale. Comparison with the ACB Scale in Spanish Individuals with Subjective Memory Complaints

The increase in life expectancy has also been accompanied by an increase in the use of medication to treat chronic diseases. Polypharmacy is associated with medication-related problems such as the increase in the anticholinergic burden. Older people are more susceptible to anticholinergic effects on the central nervous system and this, in turn, may be related to cognitive impairment. In this paper, we develop an updated anticholinergic burden scale, the CRIDECO Anticholinergic Load Scale (CALS) via a systematic review of the literature and compare it with the currently most used Anticholinergic Burden Scale (ACB). Our new scale includes 217 different drugs with anticholinergic properties, 129 more than the ACB. Given the effect that anticholinergic medications have on cognitive performance, we then used both scales to investigate the relationship between anticholinergic burden and cognitive impairment in adult Spanish subjects with subjective memory complaint. In our population, we observed an association between cognitive impairment and the anticholinergic burden when measured by the new CALS, but not when the ACB was applied. The use of a more comprehensive and upgraded scale will allow better discrimination of the risk associated with the use of anticholinergic medications on cognitive impairment. CALS can help raise awareness among clinicians of the problems associated with the use of medications, or combinations of them, with large anticholinergic effect, and promote a better personalized pharmacological approach for each patient.

An update on cognitive frailty: Its definition, impact, associated factors and underlying mechanisms, and interventions

Since the concept and operational definition of "cognitive frailty" (simultaneous presence of physical frailty and cognitive impairment without concurrent dementia) were proposed by the International Academy of Nutrition and Aging and the International Association of Gerontology and Geriatrics, cognitive frailty has been widely investigated. This review is intended to address the operational definition of cognitive frailty, its consequences, contributing factors and underlying mechanisms, as well as interventions for cognitive frailty. Although the definitions and assessments of cognitive frailty vary among researchers, older adults with both physical frailty and cognitive impairment are shown to be at higher risk of adverse health outcomes, including death, disability, hospitalization and incident dementia, than those with either condition alone. While the underlying mechanisms of cognitive frailty are still unclear, factors shown to be associated with cognitive frailty include sociodemographic factors, social status, nutritional status, geriatric syndrome, physical and cognitive activities, functional status, comorbidities, medication use, gut-derived metabolites and structural changes in the brain. Accumulating evidence indicates the need for comprehensive geriatric assessment that helps identify the possible causes of cognitive frailty and develop a multimodal individualized intervention to prevent adverse health outcomes for older adults with cognitive frailty. Further studies are required to clarify the mechanisms through which physical frailty and cognitive impairment interact to accelerate adverse health outcomes, particularly cognitive outcomes. In addition, for older adults with cognitive frailty, an effective flow diagram from primary screening through comprehensive assessment to multidimensional intervention needs to be developed for future implementation in both clinical and community settings. Geriatr Gerontol Int 2021; ••: ••-••.

Antimuscarinic Anticholinergic Medications in Parkinson Disease: To Prescribe or Deprescribe?

The relative importance of antimuscarinic anticholinergic medications for Parkinson's disease (PD) declined after the introduction of levodopa, such that anticholinergic medications are now much more likely to be prescribed for clinical indications other than parkinsonism. Recent studies have found an association between anticholinergic medication exposure and future risk of dementia in older individuals and those with PD. These findings provide a further reason to avoid the use of anticholinergic medications to treat motor symptoms of PD. More importantly, they raise the question of whether one of the goals of PD treatment should be to deprescribe all medications with anticholinergic properties, regardless of their indication, to reduce dementia risk. In this review, we discuss the use of anticholinergic medications in PD, the evidence supporting the association between anticholinergic medications and future dementia risk, and the potential implications of these findings for clinical care in PD.

Roadmap to 2030 for Drug Evaluation in Older Adults

Changes that accompany older age can alter the pharmacokinetics (PK), pharmacodynamics (PD), and likelihood of adverse effects (AEs) of a drug. However, older adults, especially the oldest or those with multiple chronic health conditions, polypharmacy, or frailty, are often under-represented in clinical trials of new drugs. Deficits in the current conduct of clinical evaluation of drugs for older adults and potential steps to fill those knowledge gaps are presented in this communication. The most important step is to increase clinical trial enrollment of older adults who are representative of the target treatment population. Unnecessary eligibility criteria should be eliminated. Physical and financial barriers to participation should be removed. Incentives could be created for inclusion of older adults. Enrollment goals should be established based on intended treatment indications, prevalence of the condition, and feasibility. Relevant clinical pharmacology data need to be obtained early enough to guide dosing and reduce risk for participation of older adults. Relevant PK and PD data as well as patient-centered outcomes should be measured during trials. Trial data should be analyzed for differences in PK, PD, effectiveness, and safety arising from differences in age or from the presence of conditions common in older adults. Postmarket evaluations with real-world evidence and drug labeling updates throughout the product lifecycle reflecting new knowledge are also needed. A comprehensive plan is needed to ensure adequate evaluation of the safety and effectiveness of drugs in older adults.

Polypharmacy and Potentially Inappropriate Medication Use in Older Blacks with Diabetes Mellitus Presenting to the Emergency Department

Background: Medication-related problems in older Blacks with diabetes mellitus (DM) are not well established. Objectives: To describe the frequency of medication-related problems in older Blacks with DM presenting to the emergency department (ED). Methods: The study was a cross-sectional analysis of baseline data from a randomized controlled trial evaluating Blacks aged ≥60 years of age presenting to the ED. Polypharmacy, potentially inappropriate medication (PIM) use, and anticholinergic score were evaluated. Results: Of 168 patients (median age = 68, range 60-92), most (n = 164, 98%) were taking ≥5 medications, and 67 (39.9%) were taking a PIM. A majority (n = 124, 74%) were taking a medication with an anticholinergic score ≥1. Number of medications was correlated with number of PIMs (r = .22, p = .004) and anticholinergic score (r = .50, p < .001). Conclusion: Polypharmacy and PIM use was common in older Blacks with DM.

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.

Rationally decreasing the number of drugs seems to be a useful therapeutic approach in older adults: 6-month follow-up study

AIMS

Older adults are at risk for polypharmacy, which has multidimensional safety, clinical and economic implications. Therefore, the optimization of drug therapy is one of the critical components of geriatrics clinical practice. This study is aimed to investigate the effect of drug rationalization on comprehensive geriatric assessment(CGA) parameters.

MATERIALS AND METHODS

The study was a retrospective and longitudinal study examining the effect of change in drug number on functionality and physical performance. A total of 515 patients were included in the study. Detailed medication history, laboratory findings, CGA parameters were recorded in the first admission. Polypharmacy was accepted as concurrent usage of five or more drugs. Medications of each patient were reviewed with the guidance of CGA and Beers Criteria.

RESULTS

The mean age of patients was 74.13 ± 7.29 years, and 68.7% were female. The baseline mean number of drugs was 5.11 ± 3.34. The polypharmacy group(269 patients) had a higher rate of geriatric syndromes and lower CGA scores in the first admission. After optimization of medications, the mean drug number decreased to 4.76 ± 2.72. Depression, mobility and nutritional scores improved at the end of six months in the patients whose total number of drugs decreased, while global cognition, activities of daily living scores, and gait speed were preserved. Increasing the number of drugs was associated with lower mobility and functionality.

CONCLUSION

Drug rationalization guided with CGA improves the nutritional, physical, and psychosocial status of geriatric patients. Thus, medication reviews have key importance in the management of older patients.

[Prevalence of prescription of anticholinergic/sedative burden drugs among older people with dementia living in nursing homes]

BACKGROUND AND OBJECTIVE

Dementia is one of the most frequent diseases in the elderly, being its prevalence of up to 64% in institutionalized people. In this population, in addition to antidementia drugs, it is common to prescribe drugs with anticholinergic/sedative burden that, due to their adverse effects, could worsen their functionality and cognitive status. The objective is to estimate the prevalence of the use of drugs with anticholinergic/ sedative burden in institutionalized older adults with dementia and to assess the associated factors.

MATERIALS AND METHODS

A cross-sectional study developed in older with dementia living in nursing homes. The prevalence of prescription of anticholinergic/sedative drugs was estimated according to the Drug Burden Index (DBI). A comparative analysis of the DBI score was performed between different types of dementia as well as among various factors and according to the anticholinergic/sedative risk, establishing as a cut-off point of DBI≥1 (high anticholinergic/sedative risk).

RESULTS

178 residents were included. 83.7% had some drug with anticholinergic/sedative burden according to DBI. 50% had a DBI≥1 score. Residents with vascular dementia had a mean DBI of 1.34 (SD 0.84), a significantly higher score than residents with Alzheimer's disease (0.41, 95% CI 0.04-0.78).). Likewise, a higher DBI was associated with more polypharmacy (3.36; 95% CI 2.64-4.08), more falls, hospital admissions and emergency room visits (P<.05).

CONCLUSIONS

Polypharmacy and prescription of anticholinergic/sedative drugs is frequent among institutionalized older adults with dementia, finding an association between DBI, falls and hospital admissions or emergency department visits. Therefore, it is necessary to propose interdisciplinary pharmacotherapeutic optimization strategies.

Artificial Intelligence in Pharmacoepidemiology: A Systematic Review. Part 1-Overview of Knowledge Discovery Techniques in Artificial Intelligence

Aim

To perform a systematic review on the application of artificial intelligence (AI) based knowledge discovery techniques in pharmacoepidemiology.

Study Eligibility Criteria

Clinical trials, meta-analyses, narrative/systematic review, and observational studies using (or mentioning articles using) artificial intelligence techniques were eligible. Articles without a full text available in the English language were excluded.

Data Sources

Articles recorded from 1950/01/01 to 2019/05/06 in Ovid MEDLINE were screened.

Participants

Studies including humans (real or simulated) exposed to a drug.

Results

In total, 72 original articles and 5 reviews were identified via Ovid MEDLINE. Twenty different knowledge discovery methods were identified, mainly from the area of machine learning (66/72; 91.7%). Classification/regression (44/72; 61.1%), classification/regression + model optimization (13/72; 18.0%), and classification/regression + features selection (12/72; 16.7%) were the three most frequent tasks in reviewed literature that machine learning methods has been applied to solve. The top three used techniques were artificial neural networks, random forest, and support vector machines models.

Conclusions

The use of knowledge discovery techniques of artificial intelligence techniques has increased exponentially over the years covering numerous sub-topics of pharmacoepidemiology.

Systematic Review Registration

Systematic review registration number in PROSPERO: CRD42019136552.

Shared mechanisms for cognitive impairment and physical frailty: A model for complex systems

INTRODUCTION

We describe findings from a large study that provide empirical support for the emerging construct of cognitive frailty and put forth a theoretical framework that may advance the future study of complex aging conditions. While cognitive impairment and physical frailty have long been studied as separate constructs, recent studies suggest they share common etiologies. We aimed to create a population predictive model to gain an understanding of the underlying biological mechanisms for the relationship between physical frailty and cognitive impairment.

METHODS

Data were obtained from the longitudinal "Invecchaiare in Chianti" (Aging in Chianti, InCHIANTI Study) with a representative sample (n = 1453) of older adults from two small towns in Tuscany, Italy. Our previous work informed the candidate 132 single nucleotide polymorphisms (SNPs) and 155 protein biomarkers we tested in association with clinical outcomes using a tree boosting, machine learning (ML) technique for supervised learning analysis.

RESULTS

We developed two highly accurate predictive models, with a Model I area under the curve (AUC) of 0.88 (95% confidence interval [CI] 0.83-0.90) and a Model II AUC of 0.86 (95% CI 0.80-0.90). These models indicate cognitive frailty is driven by dysregulation across multiple cellular processes including genetic alterations, nutrient and lipid metabolism, and elevated levels of circulating pro-inflammatory proteins.

DISCUSSION

While our results establish a foundation for understanding the underlying biological mechanisms for the relationship between cognitive decline and physical frailty, further examination of the molecular pathways associated with our predictive biomarkers is warranted. Our framework is in alignment with other proposed biological underpinnings of Alzheimer's disease such as genetic alterations, immune system dysfunction, and neuroinflammation.

Frailty status and increased risk for falls: The role of anticholinergic burden

PURPOSE OF THE STUDY

Frailty leads to serious adverse outcomes including falls. The relationship between frailty and falls has not been evaluated in the context of the side effects of drugs with anticholinergic properties. The aim of this study was to examine the potential association of anticholinergic burden (ACB) with the risk of falls among frail older adults.

DESIGN AND METHODS

Community-dwelling older adults were consecutively selected from the geriatrics outpatient clinic. Based on a fall history in the last 12 months, the participants were grouped as fallers and non-fallers. Frailty status was assessed by Fried's phenotype method. Exposure to anticholinergic medications was estimated using the ACB scale, and the participants were classified into ACB_0 (none), ACB_1 (possible) and ACB_2+ (definite).

RESULTS

The study included 520 older adults (mean age 77.7 years, 62.7 % female), with a fall prevalence of 25.8 % 12 months past. The proportions of frailty and pre-frailty were 33.1 % and 57.4 %, respectively. After adjustment for study confounders, receiving at least 1 drug with either possible or definite anticholinergic properties was independently associated to falls in frail [OR = 3.84 (1.48-9.93), p = 0.006] and pre-frail participants [OR = 2.71 (1.25-5.89); p = 0.012], but not in robust subjects. Moreover, ACB was significantly associated with the frailty components on adjusted analysis (p's<0.05).

IMPLICATIONS

Current study showed that the use of any drugs with possible or definite anticholinergic properties was associated with an increased risk of falls in frail older adults. The results emphasize the importance of medication management with respect to fall prevention in these patients.

Anticholinergic Burden and Safety Outcomes in Older Patients with Chronic Hepatitis C: A Retrospective Cohort Study

AIM

Older patients with chronic hepatitis C infection starting direct-acting antivirals (DAAs) are frequently prescribed multiple medications that may be categorized as inappropriate. Anticholinergic burden has been shown to be a predictor of adverse health and functional outcomes. Different scales are available to calculate anticholinergic burden. The aim of this study was to determine the prevalence of anticholinergic medication among older patients treated with DAAs and the risk factors associated using the Anticholinergic Cognitive Burden (ACB) scale, the Anticholinergic Risk Scale (ARS) and the Anticholinergic Drug Scale (ADS) and analyze the resulting safety consequences.

METHODS

Observational, retrospective cohort study of consecutive patients ≥65 years old receiving DAAs and taking concomitant medication. This study was conducted in accordance with the Strengthening the Reporting of observational studies in Epidemiology Statement.

RESULTS

236 patients were included. The average age was 71.7 years, 73.3% cirrhotic, and 47% patients took ≥5 medicines. According to the ACB, ARS and ADS scales, 35.2% (n = 83), 10.6% (n = 25) and 34.3% (n = 81) of the patients were treated with anticholinergic medication. Two hundred-and-six (86%) patients presented any adverse events (AEs) during therapy. ARS scale showed a significant relationship between presence of anticholinergic medication and AEs. A large number of patients suffered anticholinergic events, with more events per patient in patients taking anticholinergic drugs.

CONCLUSIONS

Older hepatitis C chronic patients are exposed to potentially inappropriate polypharmacy and anticholinergic risk, according to the ACB, ARS and ADS scales. The three scales showed different results. Only the ARS scale was associated with AEs, but the rate of anticholinergic effects per patient was significantly higher in patients with anticholinergic drugs, regardless of the scale used. Consider quality of pharmacotherapy when starting DAA with a multidisciplinary approach could improve health outcomes.

Anticholinergic Burden, Sleep Quality and Health Outcomes in Malaysian Aged Care Home Residents

The use of anticholinergic medications by residents in aged care homes is associated with increased risk of adverse effects. These include cognitive impairment, sleep disturbances, and falls, and necessitate increased healthcare visits and the associated burden on healthcare systems. The objective of this study was to investigate associations between anticholinergic burden and health outcomes such as independence in activities for daily living, frailty, quality of life, and sleep quality. The study was conducted among residents in Malaysian aged care homes, aged 60 years and above. Anticholinergic burden was calculated using the Anticholinergic Cognitive Burden (ACB) scale. Health outcome measures included independence, assessed using the Katz Activities for Daily Living scale (Katz ADL); quality of life, assessed using the Older People’s Quality of Life Questionnaire (OPQOL); frailty, assessed using the Groningen Frailty Index (GFI); and sleep quality, measured using the Pittsburg Sleep Quality Index (PSQI). Just over one-third (36%) of the study population was exposed to at least one medication with anticholinergic effect. An increased anticholinergic cognitive burden was associated with frailty (p = 0.031), sleep latency (p = 0.007), and sleep disturbances (p = 0.015). Further studies are required to assess the effect of prolonged exposure to anticholinergic medications on health outcomes.