Chronic Polypharmacy with Increasing Drug Burden Index Exacerbates Frailty and Impairs Physical Function, with Effects Attenuated by Deprescribing, in Aged Mice

The Impact of Deprescribing Interventions on the Drug Burden Index and Other Outcomes: A Systematic Review

OBJECTIVES

The Drug Burden Index (DBI) calculates a person's exposure to anticholinergic and sedative medications. We aimed to review randomized controlled trials (RCTs) of deprescribing interventions that reported the DBI as an outcome, their characteristics, effectiveness in reducing the DBI, and impact on other outcomes.

DESIGN

Systematic review with meta-analysis.

SETTING AND PARTICIPANTS

RCTs of deprescribing interventions where the DBI was measured as a primary or secondary outcome in humans within any setting were included.

METHODS

Electronic databases, citation indexes, and gray literature were searched from April 1, 2007, to September 1, 2023. Quality was assessed using the Cochrane risk-of-bias tool.

RESULTS

Of 1721 records identified, 9 met the inclusion criteria. Six interventions were delivered by pharmacists and 3 were delivered by pharmacists/nurses or pharmacists/geriatricians. All interventions required at least intermediate-level skills and involved multiple components and target groups. Studies were conducted in the community (n = 5), nursing homes (n = 2), and hospitals (n = 2). The mean or median age was ≥75 years and most participants were women in all studies. Most (n = 6) studies were underpowered. The follow-up period ranged from 3 to 12 months. Three studies reported a lower DBI in the intervention group compared with control: 1 pharmacist independent prescriber-delivered in nursing homes (adjusted rate ratio, 0.83; 95% CI, 0.74 to 0.92), 1 pharmacist/nurse practitioner-delivered in hospital (adjusted mean difference (MD), -0.28; 95% CI, -0.51 to -0.04), and 1 geriatrician/pharmacist-delivered in hospital (MD, -0.28; 95% CI, -0.52 to -0.04). Meta-analysis showed no difference in the change in DBI between control and intervention groups in the community including nursing homes (MD, -0.03; 95% CI, -0.08 to 0.01) or hospital setting (MD, -0.19; 95% CI, -0.45 to 0.06). Interventions had inconsistent effects on cognition and no effect on other reported outcomes.

CONCLUSIONS AND IMPLICATIONS

RCTs of deprescribing interventions had no significant impact on reducing DBI or improving outcomes. Further suitably powered studies are required.

Reducing the drug burden of sedative and anticholinergic medications in older adults: a scoping review of explicit decision criteria

OBJECTIVES

To describe the extent, characteristics, and knowledge gaps regarding explicit decision criteria for deprescribing drugs with anticholinergic or sedative properties (Ach/Sed) in older adults.

DESIGN

Scoping review.

SETTING AND PARTICIPANTS

Original studies, clinical trial protocols, grey literature, and Summaries of Product Characteristics.

METHODS

Searches targeting explicit decision criteria for deprescribing Ach/Sed were performed across MEDLINE, EMBASE, CINAHL, and Web of Science, including trial registries (clinicaltrials.gov, ICTRP, EU-CTR, ANZCTR) for pertinent articles, study protocols. Additionally, to encompass non-traditional or 'grey literature' sources, Google searches and relevant agency websites were explored, alongside the summary of product characteristics for Ach/Sed.

RESULTS

The initial literature search identified 8,192 unique data sources. After review, 188 original articles or books, 79 internet sources, and 127 SmPCs were included. Examining these sources for explicit criteria for 154 Ach/Sed, overall, 1,271 explicit criteria guidance for identifying clinical scenarios warranting deprescription of Ach/Sed across 145/154 Ach/Sed were identified. These criteria were identified mainly from qualitative research and Summaries of Product Characteristics. Additionally, 455 criteria-based recommendations suggesting approaches for tapering implementation across 76/154 Ach/Sed were identified, mostly from sources classified as expert opinions. Significant heterogeneity was found across the approaches for tapering Ach/Sed.

CONCLUSIONS

This scoping review provides a comprehensive overview of the literature providing guidance for clinical scenarios where Ach/Sed should be deprescribed and highlights the existing knowledge gaps regarding comprehensive guidance on tapering these drugs which warranties future research and development.

Probing polypharmacy, ageing and sex effects on physical function using different tests

BACKGROUND

Ageing, sex and polypharmacy affect physical function.

OBJECTIVES

This mouse study investigates how ageing, sex and polypharmacy interact and affect grip strength, balance beam and wire hang, correlating and comparing the different test results between and within subgroups.

METHODS

Young (2.5 months) and old (21.5 months) C57BL/6 J male and female mice (n = 10-6/group) were assessed for physical function at baseline on grip strength, balance beam and wire hang with three trials of 60 s (WH60s) and one trial of 300 s (WH300s). Mice were randomised to control or diet containing a high Drug Burden Index (DBI, total anticholinergic and sedative drug exposure) polypharmacy regimen (metoprolol, simvastatin, citalopram, oxycodone and oxybutynin at therapeutic oral doses). Following 6-8 weeks of treatment, mice were reassessed.

RESULTS

High DBI polypharmacy and control mice both showed age group differences on all tests (p < 0.05). Only control mice showed sex differences, with females outperforming males on the WH60s and balance beam for old mice, WH300s for young mice (p < 0.05). Polypharmacy reduced grip strength in all subgroups (p < 0.05) and only in old females reduced wire hang time and cumulative behaviour and balance beam time and %walked (p < 0.05). Physical function assessments were all correlated with each other, with differences between subgroups (p < 0.05), and mice within subgroups showed interindividual variability in performance.

CONCLUSION

Age, sex and polypharmacy have variable effects on different tests, and behavioural measures are useful adjuvants to assessing performance. There was considerable within-group variability in change in measures over time. These findings can inform design and sample size of future studies.

Ageing and Polypharmacy in Mesenchymal Stromal Cells: Metabolic Impact Assessed by Hyperspectral Imaging of Autofluorescence

The impact of age on mesenchymal stromal cell (MSC) characteristics has been well researched. However, increased age is concomitant with increased prevalence of polypharmacy. This adjustable factor may have further implications for the functionality of MSCs and the effectiveness of autologous MSC procedures. We applied hyperspectral microscopy of cell autofluorescence-a non-invasive imaging technique used to characterise cytometabolic heterogeneity-to identify changes in the autofluorescence signals of MSCs from (1) young mice, (2) old mice, (3) young mice randomised to receive polypharmacy (9-10 weeks of oral therapeutic doses of simvastatin, metoprolol, oxycodone, oxybutynin and citalopram), and (4) old mice randomised to receive polypharmacy. Principal Component Analysis and Logistic Regression Analysis were used to assess alterations in spectral and associated metabolic characteristics. Modelling demonstrated that cells from young mice receiving polypharmacy had less NAD(P)H and increased porphyrin relative to cells from old control mice, allowing for effective separation of the two groups (AUC of ROC curve > 0.94). Similarly, cells from old polypharmacy mice were accurately separated from those from young controls due to lower levels of NAD(P)H (p < 0.001) and higher porphyrin (p < 0.001), allowing for an extremely accurate logistic regression (AUC of ROC curve = 0.99). This polypharmacy regimen may have a more profound impact on MSCs than ageing, and can simultaneously reduce optical redox ratio (ORR) and increase porphyrin levels. This has implications for the use of autologous MSCs for older patients with chronic disease.

Insights into targeting cellular senescence with senolytic therapy: The journey from preclinical trials to clinical practice

Interconnected, fundamental aging processes are central to many illnesses and diseases. Cellular senescence is a mechanism that halts the cell cycle in response to harmful stimuli. Senescent cells (SnCs) can emerge at any point in life, and their persistence, along with the numerous proteins they secrete, can negatively affect tissue function. Interventions aimed at combating persistent SnCs, which can destroy tissues, have been used in preclinical models to delay, halt, or even reverse various diseases. Consequently, the development of small-molecule senolytic medicines designed to specifically eliminate SnCs has opened potential avenues for the prevention or treatment of multiple diseases and age-related issues in humans. In this review, we explore the most promising approaches for translating small-molecule senolytics and other interventions targeting senescence in clinical practice. This discussion highlights the rationale for considering SnCs as therapeutic targets for diseases affecting individuals of all ages.

Association of the Drug Burden Index (DBI) exposure with outcomes: A systematic review

BACKGROUND

The Drug Burden Index (DBI) measures an individual's total exposure to anticholinergic and sedative medications. This systematic review aimed to investigate the association of the DBI with clinical and prescribing outcomes in observational pharmaco-epidemiological studies, and the effect of DBI exposure on functional outcomes in pre-clinical models.

METHODS

A systematic search of nine electronic databases, citation indexes and gray literature was performed (April 1, 2007-December 31, 2022). Studies that reported primary data on the association of the DBI with clinical or prescribing outcomes conducted in any setting in humans aged ≥18 years or animals were included. Quality assessment was performed using the Joanna Briggs Institute critical appraisal tools and the Systematic Review Centre for Laboratory animal Experimentation risk of bias tool.

RESULTS

Of 2382 studies screened, 70 met the inclusion criteria (65 in humans, five in animals). In humans, outcomes reported included function (n = 56), cognition (n = 20), falls (n = 14), frailty (n = 7), mortality (n = 9), quality of life (n = 8), hospitalization (n = 7), length of stay (n = 5), readmission (n = 1), other clinical outcomes (n = 15) and prescribing outcomes (n = 2). A higher DBI was significantly associated with increased falls (11/14, 71%), poorer function (31/56, 55%), and cognition (11/20, 55%) related outcomes. Narrative synthesis was used due to significant heterogeneity in the study population, setting, study type, definition of DBI, and outcome measures. Results could not be pooled due to heterogeneity. In animals, outcomes reported included function (n = 18), frailty (n = 2), and mortality (n = 1). In pre-clinical studies, a higher DBI caused poorer function and frailty.

CONCLUSIONS

A higher DBI may be associated with an increased risk of falls and decreased function and cognition. Higher DBI was inconsistently associated with increased mortality, length of stay, frailty, hospitalization or reduced quality of life. Human observational findings with respect to functional outcomes are supported by preclinical interventional studies. The DBI may be used as a tool to identify older adults at higher risk of harm.

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.

Optimizing preclinical models of ageing for translation to clinical trials

Preclinical models have been the backbone of translational research for more than a century. Rats and mice are critical models in the preliminary stages of drug testing, both for determining efficacy and ruling out potential human-relevant toxicities. Historically, most preclinical pharmacological studies have used young, relatively healthy, inbred male models in highly controlled environments. In the field of geriatric pharmacology, there is a growing focus on the importance of using more appropriate preclinical models both in the testing of therapeutics commonly used in older populations, and in the evaluation of potential geroprotective drug candidates. Here we provide a commentary on optimizing preclinical models of ageing for translation to clinical trials. We will discuss approaches to modelling clinically relevant contexts such as age, sex, genetic diversity, exposures and environment, as well as measures of clinically relevant outcomes such as frailty and healthspan. We will identify the strengths and limitations of these approaches and areas for improvement. We will also briefly cover new preclinical models that move beyond rodents. We hope this commentary will be a springboard for larger discussions on optimizing preclinical ageing models for testing therapeutics.

Preclinical and translational models for delirium: Recommendations for future research from the NIDUS delirium network

Delirium is a common, morbid, and costly syndrome that is closely linked to Alzheimer's disease (AD) and AD-related dementias (ADRD) as a risk factor and outcome. Human studies of delirium have advanced our knowledge of delirium incidence and prevalence, risk factors, biomarkers, outcomes, prevention, and management. However, understanding of delirium neurobiology remains limited. Preclinical and translational models for delirium, while challenging to develop, could advance our knowledge of delirium neurobiology and inform the development of new prevention and treatment approaches. We discuss the use of preclinical and translational animal models in delirium, focusing on (1) a review of current animal models, (2) challenges and strategies for replicating elements of human delirium in animals, and (3) the utility of biofluid, neurophysiology, and neuroimaging translational markers in animals. We conclude with recommendations for the development and validation of preclinical and translational models for delirium, with the goal of advancing awareness in this important field.

Polypharmacy and precision medicine

Precision medicine is an approach to maximise the effectiveness of disease treatment and prevention and minimise harm from medications by considering relevant demographic, clinical, genomic and environmental factors in making treatment decisions. Precision medicine is complex, even for decisions about single drugs for single diseases, as it requires expert consideration of multiple measurable factors that affect pharmacokinetics and pharmacodynamics, and many patient-specific variables. Given the increasing number of patients with multiple conditions and medications, there is a need to apply lessons learned from precision medicine in monotherapy and single disease management to optimise polypharmacy. However, precision medicine for optimisation of polypharmacy is particularly challenging because of the vast number of interacting factors that influence drug use and response. In this narrative review, we aim to provide and apply the latest research findings to achieve precision medicine in the context of polypharmacy. Specifically, this review aims to (1) summarise challenges in achieving precision medicine specific to polypharmacy; (2) synthesise the current approaches to precision medicine in polypharmacy; (3) provide a summary of the literature in the field of prediction of unknown drug-drug interactions (DDI) and (4) propose a novel approach to provide precision medicine for patients with polypharmacy. For our proposed model to be implemented in routine clinical practice, a comprehensive intervention bundle needs to be integrated into the electronic medical record using bioinformatic approaches on a wide range of data to predict the effects of polypharmacy regimens on an individual. In addition, clinicians need to be trained to interpret the results of data from sources including pharmacogenomic testing, DDI prediction and physiological-pharmacokinetic-pharmacodynamic modelling to inform their medication reviews. Future studies are needed to evaluate the efficacy of this model and to test generalisability so that it can be implemented at scale, aiming to improve outcomes in people with polypharmacy.

Sex-specific interventions to prevent and manage frailty

There is growing interest in interventions that delay, slow, and even reverse frailty. In this narrative review, we explore the evidence on exercise, nutrition, medication optimisation and social support interventions for frailty and consider how these relate to underlying frailty pathophysiology. We also consider pathophysiological mechanisms underpinning sex differences in frailty before evaluating the limited evidence for sex-specific frailty interventions that is currently available. Through this review of the literature, we generate a list of potential sex-specific interventions for frailty. While individual-level recommendations are certainly important, future work should turn the focus towards population-level interventions that take into account sex differences in frailty, including changes to healthcare and socioeconomic systems, as well as changes to the built environment to promote healthy behaviours.

Polypharmacy With High Drug Burden Index (DBI) Alters the Gut Microbiome Overriding Aging Effects and Is Reversible With Deprescribing

Aging, medication use, and global function are associated with changes in the microbiome. However, their interrelationships and changes over time require further characterization. In a longitudinal aging mouse study, we investigated the effects of aging, chronic polypharmacy with a high Drug Burden Index (DBI, measure of total anticholinergic and sedative medication exposure) and gradual cessation (deprescribing) on the microbiome, further exploring any association with global outcomes. Chronic administration of high DBI polypharmacy attenuated the aging-related reduction in alpha diversity, which was not sustained after deprescribing. Beta diversity and LEfSe (Linear discriminant analysis Effect Size) features varied with age, polypharmacy, and deprescribing. Aging with and without polypharmacy shared decreases in Bifidobacteriaceae, Paraprevotellaceae, Bacteroidaceae, and Clostridiaceae, while only aging with polypharmacy showed increased LEfSe features. Microbiome diversity correlated with frailty, nesting, and open field performance. Polypharmacy deprescribing reversed changes that occurred with treatment. However, the microbiome did not recover to its pretreatment composition at 12 months, nor develop the same aging-related changes from 12 to 24 months as the control group. Overall, aging, chronic polypharmacy, and deprescribing differentially affected the diversity and composition of the gut microbiome, which is associated with frailty and function.

Development of a Clinical Prediction Rule for Adverse Events in Multimorbid Patients in Emergency and Hospitalisation

(1) Background: There is currently a global consensus that the quality of comprehensive care for acutely hospitalised elderly people should include addressing functionality and mobility, cognitive status, prevention of pressure ulcers, urinary incontinence, falls and delirium, as well as pain control and medication-related problems. The aim of this study is to develop and validate a clinical prediction rule for multimorbid patients admitted to an acute care hospital unit for any of the five adverse events included in our vulnerability pentad: falls, pressure ulcers, urinary incontinence, pain and delirium. (2) Methods: Longitudinal analytical clinimetric study, with two cohorts. The study population will consist of multimorbid patients hospitalised for acute care, referred from the Emergency Room. A clinical prediction rule will be proposed, incorporating predictive factors of these five adverse outcomes described. This study has received funding, awarded in November 2020 (PI-0107-2020), and was approved in October 2019 by the Research Ethics Committee ″Costa del Sol″. (3) Conclusions: Preventing adverse events in hospitalised patients is particularly important for those with multimorbidity. By applying a clinical prediction rule to detect specific risks, an estimate can be obtained of their probability of occurrence.

Frailty in rodents: Models, underlying mechanisms, and management

Frailty is a clinical geriatric syndrome characterized by decreased multisystem function and increased vulnerability to adverse outcomes. Although numerous studies have been conducted on frailty, the underlying mechanisms and management strategies remain unclear. As rodents share homology with humans, they are used extensively as animal models to study human diseases. Rodent frailty models can be classified broadly into the genetic modification and non-genetic modification models, the latter of which include frailty assessment models (based on the Fried frailty phenotype and frailty index methods) and induced frailty models. Such models were developed for use in investigating frailty-related physiological changes at the gene, cellular, molecular, and system levels, including the organ system level. Furthermore, exercise, diet, and medication interventions, in addition to their combinations, could improve frailty status in rodents. Rodent frailty models provide novel and effective tools for frailty research. In the present paper, we review research progress in rodent frailty models, mechanisms, and management, which could facilitate and guide further clinical research on frailty in older adults.

Associations of polypharmacy and drugs with sedative or anticholinergic properties with the risk of long-term care needs certification among older adults in Japan: A population-based, nested case-control study

AIM

To estimate the risk of disability associated with high-risk prescribing, such as polypharmacy and drugs with sedative or anticholinergic properties, using long-term care needs certification as a proxy of incident disability.

METHODS

A case-control study nested within a cohort of older adults (89% aged ≥65 years) was carried out between 2014 and 2019 using the combined medical claims and long-term care needs certification database of Tsukuba City, Japan. We identified 2123 cases who received their first long-term care certification, and matched them to 40 295 controls based on age, sex, residential area and observation period (≥36 months). The risk of long-term care needs certification associated with high-risk prescribing exposure 7-30 months before the index month was estimated using conditional logistic regression adjusting for baseline comorbidities and health service use.

RESULTS

Polypharmacy (5-9 drugs; adjusted odds ratio [aOR] 1.32, 95% confidence interval [95% CI] 1.18-1.47), hyperpolypharmacy (≥10 drugs; aOR 1.87, 95% CI 1.57-2.23) and cumulative dose of drugs with sedative or anticholinergic properties (1-364 defined daily dose [DDD]; aOR 1.07, 95% CI 0.97-1.19; 365-729 DDD; aOR 1.25, 95% CI 1.07-1.45; ≥730 DDD; aOR 1.33, 95% CI 1.19-1.62) had dose-response relationships with long-term care certification risks.

CONCLUSIONS

High-risk prescribing was associated with the risk of long-term care needs certification in the general older population. Further studies are warranted to examine whether a decrease in prescribing drugs with sedative or anticholinergic properties could reduce the long-term care burden on society. Geriatr Gerontol Int 2022; ••: ••-••.

Physiological Systems in Promoting Frailty

Frailty is a complex syndrome affecting a growing sector of the global population as medical developments have advanced human mortality rates across the world. Our current understanding of frailty is derived from studies conducted in the laboratory as well as the clinic, which have generated largely phenotypic information. Far fewer studies have uncovered biological underpinnings driving the onset and progression of frailty, but the stage is set to advance the field with preclinical and clinical assessment tools, multiomics approaches together with physiological and biochemical methodologies. In this article, we provide comprehensive coverage of topics regarding frailty assessment, preclinical models, interventions, and challenges as well as clinical frameworks and prevalence. We also identify central biological mechanisms that may be at play including mitochondrial dysfunction, epigenetic alterations, and oxidative stress that in turn, affect metabolism, stress responses, and endocrine and neuromuscular systems. We review the role of metabolic syndrome, insulin resistance and visceral obesity, focusing on glucose homeostasis, adenosine monophosphate-activated protein kinase (AMPK), mammalian target of rapamycin (mTOR), and nicotinamide adenine dinucleotide (NAD⁺ ) as critical players influencing the age-related loss of health. We further focus on how immunometabolic dysfunction associates with oxidative stress in promoting sarcopenia, a key contributor to slowness, weakness, and fatigue. We explore the biological mechanisms involved in stem cell exhaustion that affect regeneration and may contribute to the frailty-associated decline in resilience and adaptation to stress. Together, an overview of the interplay of aging biology with genetic, lifestyle, and environmental factors that contribute to frailty, as well as potential therapeutic targets to lower risk and slow the progression of ongoing disease is covered. © 2022 American Physiological Society. Compr Physiol 12:1-46, 2022.

Applying the AFRAID and FRIGHT clocks to novel preclinical mouse models of polypharmacy

The Frailty Inferred Geriatric Health Timeline (FRIGHT) and Analysis of Frailty and Death (AFRAID) clocks were developed to predict biological age and lifespan, respectively, in mice. Their utility within the context of polypharmacy (≥5 medications), which is very common in older adults, is unknown. In male C57BL/6J(B6) mice administered chronic polypharmacy, monotherapy, and undergoing treatment cessation (deprescribing), we aimed to compare these clocks between treatment groups; investigate whether treatment affected correlation of these clocks with mortality; and explore factors that may explain variation in predictive performance. Treatment (control, polypharmacy, or monotherapy) commenced from age 12 months. At age 21 months, each treatment group was subdivided to continue treatment or have it deprescribed. Frailty index was assessed and informed calculation of the clocks. AFRAID, FRIGHT, frailty index, and mortality age did not differ between continued treatment groups and control. Compared to continued treatment, deprescribing some treatments had inconsistent negative impacts on some clocks and mortality. FRIGHT and frailty index, but not AFRAID, were associated with mortality. The bias and precision of AFRAID as a predictor of mortality varied between treatment groups. Effects of deprescribing some drugs on elements of the clocks, particularly on weight loss, contributed to bias. Overall, in this cohort, FRIGHT and AFRAID measures identified no treatment effects and limited deprescribing effects (unsurprising as very few effects on frailty or mortality), with variable prediction of mortality. These clocks have utility, but context is important. Future work should refine them for intervention studies to reduce bias from specific intervention effects.

Comparing Effects of Polypharmacy on Inflammatory Profiles in Older Adults and Mice: Implications for Translational Ageing Research

Aging and multimorbidity are associated with inflammation. Polypharmacy is common in older people with multimorbidity. Given the potential for interactions between polypharmacy and inflammation, the relationship between inflammation and polypharmacy were studied in older adults with multimorbidity and in healthy aging mice. A cross-sectional analysis of data from the 5-year wave of the Concord Health and Ageing in Men Project, a population-based study of community-dwelling men aged ≥70 years. Serum concentrations of 27 cytokines were measured using a multiplex immunoassay. Associations between polypharmacy (≥5 medications) and cytokines were evaluated using multivariable linear regression adjusting for age, frailty, comorbidities, and individual drug classes. Interaction between polypharmacy and Drug Burden Index (DBI―drugs with anticholinergic and sedative effects) was analyzed. Effects of polypharmacy and DBI on serum levels of 23 cytokines were determined in aging male mice treated with chronic polypharmacy or control. Compared to the nonpolypharmacy group (n = 495), CHAMP participants with polypharmacy (n = 409) had significantly higher concentrations of IL-8, IL-6, CCL3, Eotaxin, IL-1ra, IL-1β, IP-10, and lower concentrations of anti-inflammatory cytokine IL-4. In fully-adjusted multivariable models, polypharmacy was positively associated with concentrations of IL-8 and CCL3. There were no significant differences in inflammatory profiles between control and polypharmacy-treated mice. The relationship was not influenced by DBI in men or in mice. Inflammatory markers associated with polypharmacy in older adults were not seen in healthy aged mice administered polypharmacy, and may be related to underlying diseases. The polypharmacy mouse model provides opportunities for mechanistic investigations in translational research.

Geriatric medicine and health care for older people in Australia

Aged care coverage in Australia is universal but fragmented and has been challenged by government policy to deregulate aged care and open it up to market forces. A recent inquiry into aged care (Royal Commission into Aged Care Quality and Safety) documented the outcome of this policy-substandard care at most levels. The provision of services to older Aboriginal and Torres Strait Islander peoples, who have high prevalence of frailty and cognitive impairment, was also identified as inadequate. The effects of yet to be implemented changes in policy and funding in response to this report remain to be seen. Despite this policy backdrop, geriatricians have contributed to a steady growth in medical services and interventions focussed on specific geriatric issues such as dementia, falls, polypharmacy and orthogeriatrics. These are often driven by, or in collaboration with researchers, and aim to generate research data as well as provide patient care. The numbers of academic geriatricians and other aged care health professionals is increasing, and the training of specialist geriatricians now includes a significant research component.

Diurnal effects of polypharmacy with high drug burden index on physical activities over 23 h differ with age and sex

Aging, polypharmacy (concurrent use of ≥ 5 medications), and functional impairment are global healthcare challenges. However, knowledge of the age/sex-specific effects of polypharmacy is limited, particularly on daily physical activities. Using continuous monitoring, we demonstrated how polypharmacy with high Drug Burden Index (DBI—cumulative anticholinergic/sedative exposure) affected behaviors over 23 h in male/female, young/old mice. For comparison, we also evaluated how different drug regimens (polypharmacy/monotherapy) influenced activities in young mice. We found that after 4 weeks of treatment, high DBI (HDBI) polypharmacy decreased exploration (reduced mean gait speed and climbing) during the habituation period, but increased it during other periods, particularly in old mice during the transition to inactivity. After HDBI polypharmacy, mean gait speed consistently decreased throughout the experiment. Some behavioral declines after HDBI were more marked in females than males, indicating treatment × sex interactions. Metoprolol and simvastatin monotherapies increased activities in young mice, compared to control/polypharmacy. These findings highlight that in mice, some polypharmacy-associated behavioral changes are greater in old age and females. The observed diurnal behavioral changes are analogous to drug-induced delirium and sundowning seen in older adults. Future mechanistic investigations are needed to further inform considerations of age, sex, and polypharmacy to optimize quality use of medicines.

Preclinical frailty assessments: Phenotype and frailty index identify frailty in different mice and are variably affected by chronic medications

Use of different objective frailty assessment tools may improve understanding of the biology of frailty and allow evaluation of effects of interventions on frailty. Polypharmacy is associated with increased risk of frailty in epidemiologic studies, regardless of frailty definition, but the pathophysiology of the association is not well understood. This study aims to (1) assess and compare the prevalence of frailty from middle to old age following control, chronic polypharmacy or monotherapy treatment, when measured using the clinical frailty index assessment and the mouse frailty phenotype tools; and (2) to evaluate and compare the effects of chronic polypharmacy regimens with zero, low and high Drug Burden Index (DBI) and monotherapies from middle to old age on the rate of deficit accumulation on the frailty index, mean number of phenotype criteria, odds of being frail assessed by the frailty index or phenotype, and the time to onset of frailty assessed by the frailty index or phenotype. In a longitudinal study, middle-aged (12 months) male C57BL/6J(B6) mice were administered non medicated control feed and water, or therapeutic doses of different polypharmacy combinations or monotherapies in feed and/or water. Frailty assessments were performed at 12, 15, 18, 21 and 24 months. There was limited overlap between animals identified as frail using different frailty assessments. Polypharmacy has measurable and different effects on each frailty assessment. Long-term chronic administration of some polypharmacy and monotherapy therapeutic drug regimens increased the number of frailty deficits (clinical frailty index: low DBI polypharmacy (15 and 21 months), high DBI polypharmacy (15-21 months), oxycodone (15-18 months), oxybutynin (15-18 months), citalopram (15-21 months) and metoprolol monotherapy (15 months) and modified frailty phenotype assessment (over the whole duration of treatment, low DBI polypharmacy (adjusted Risk Ratio(aRR) = 1.97, 95% confidence interval (CI) 1.43-2.72), high DBI polypharmacy (aRR = 1.88; 95% CI 1.36-2.60), oxybutynin (aRR = 1.48; 95% CI 1.01-2.16) and citalopram monotherapy (aRR = 1.96; 95% CI 1.41-2.74), p < 0.05) . The odds of developing frailty measured with the clinical frailty index increased with high DBI polypharmacy (adjusted odds ratio (aOR) = 3.13; 95% CI 1.01-9.66) and when measured with the frailty phenotype assessment increased with low DBI polypharmacy (aOR = 4.38, 95% CI 1.40-13.74), high DBI polypharmacy (aOR = 3.43; 95% CI 1.12-10.50) and citalopram monotherapy (aOR = 4.63; 95% CI 1.39-15.54)). No treatment affected time to frailty using either frailty assessment. Analysis of the number of deficits on the frailty index or number of positive criteria on the frailty phenotype allows analysis of rate of change and provides greater sensitivity, while the odds of being frail analysis provided a clinically relevant indicator of whether mice had greater chance of reaching a cut-off for becoming frail with medication exposure than without. Our results are consistent with clinical studies, demonstrating that certain polypharmacy regimens induce frailty, with different relationships observed when using different frailty assessments and analyses.

Renal Function, Cardiovascular Diseases, Appropriateness of Drug Prescription and Outcomes in Hospitalized Older Patients

INTRODUCTION

Reduced estimated creatinine clearance (eCrCl) is prevalent in older patients and impacts on drug prescription. In this study, the burden of eCrCl reduction and its associated factors and impact on outcomes were analyzed. Moreover, the rate of inappropriate drug prescription according to eCrCl and its impact on outcomes were described.

METHODS

Data were obtained from "REgistro POliterapie SIMI" (REPOSI), a prospective observational register enrolling hospitalized patients aged ≥ 65 years. Patients enrolled from 2010-2016 with available data to calculate eCrCl according to the Cockcroft-Gault formula were included in this analysis.

RESULTS

A total of 5046 patients were available for analysis. Among these, we found an eCrCl of 45-59 mL/min in 1163 patients (23.0%), an eCrCl of 30-44 mL/min in 1128 (22.4%), an eCrCl of 15-29 mL/min in 702 (13.9%), and an eCrCl < 15 mL/min in 152 (3.0%), with several clinical factors associated with decreasing eCrCl. During follow-up, a progressively higher risk for all-cause death, cardiovascular (CV) death, any death/re-hospitalization, and CV death/re-hospitalization was found across the renal function classes. Among patients with hypertension, diabetes mellitus, atrial fibrillation, coronary artery disease, and heart failure, 476 (10.9%) were inappropriately prescribed medications according to eCrCl. During follow-up, inappropriate prescription was associated with increased risk of all-cause death (odds ratio [OR] 1.49, 95% confidence interval [CI] 1.13-1.97) and any death/re-hospitalization (OR 1.30, 95% CI 1.03-1.63).

CONCLUSIONS

In older hospitalized patients, impaired eCrCl is prevalent and associated with several factors, polypharmacy in particular. Patients with reduced eCrCl have a higher risk of major clinical outcomes, and > 10% of them are prescribed an inappropriate drug, with a higher risk for major clinical outcomes.

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.

The degree of frailty as a translational measure of health in aging

Frailty is a multiply determined, age-related state of increased risk for adverse health outcomes. We review how the degree of frailty conditions the development of late-life diseases and modifies their expression. The risks for frailty range from subcellular damage to social determinants. These risks are often synergistic-circumstances that favor damage also make repair less likely. We explore how age-related damage and decline in repair result in cellular and molecular deficits that scale up to tissue, organ and system levels, where they are jointly expressed as frailty. The degree of frailty can help to explain the distinction between carrying damage and expressing its usual clinical manifestations. Studying people-and animals-who live with frailty, including them in clinical trials and measuring the impact of the degree of frailty are ways to better understand the diseases of old age and to establish best practices for the care of older adults.

Deprescribing in the Older Patient: A Narrative Review of Challenges and Solutions

Polypharmacy is a major challenge in healthcare for older people, and is associated with increased risks of adverse outcomes, such as delirium, falls, frailty, cognitive impairment and hospitalization. There is significant public and professional interest in the role of deprescribing in reducing medication-related harms in older people. We aim to provide a narrative review of 1) the safety and efficacy of deprescribing interventions, 2) the challenges and solutions of deprescribing research and implementation in clinical practice, and 3) the benefits of using Computerized Clinical Decision Support Systems (CCDSS) and Quality Indicators (QIs) in deprescribing research and practice. Deprescribing is an established management strategy to minimize polypharmacy and potentially inappropriate medications. There is limited clinical evidence for its efficacy on global and geriatric outcomes. Various challenges at patient, healthcare professional and healthcare system levels may impact on the success of deprescribing interventions in research and practice. Management strategies that target all levels of the healthcare system are required to overcome these challenges. Future studies may consider large multicenter prospective designs to establish the effects and sustainability of deprescribing interventions on clinical outcomes.

New Horizons in the impact of frailty on pharmacokinetics: latest developments

Frail older people have a high prevalence of drug use and are susceptible to adverse drug reactions. The physiological changes of frailty are likely to affect pharmacokinetics and pharmacodynamics. We reviewed the methods and findings of published studies of pharmacokinetics in frailty. Nine studies describing pharmacokinetics and an additional three of pharmacokinetic pathways in frail older people were identified. Most pharmacokinetic studies investigated a single administration of a medication, dose or formulation, in small populations, often with limited representation of males or females, and applied variable definitions of frailty. Pharmacokinetic sampling designs generally utilised saturated sampling followed by analysis based on the trapezoidal rule for area under the curve, with more recent studies using sparser sampling and more sophisticated modelling to obtain individual and population values of all pharmacokinetic parameters. Overall, the pharmacokinetic studies reported only small changes in some parameters for some drugs with frailty, with the most consistent change reduced hepatic clearance in frail older people. Recommendations for future studies of pharmacokinetics in frailty include (i) standard objective definitions of frailty; (ii) larger studies including people with mild, moderate and severe frailty; (iii) population pharmacokinetic modelling to allow sparser sampling and consideration of multiple influences on pharmacokinetics; (iv) physiologically based modelling as the physiology of frailty emerges and (v) longitudinal pharmacokinetic studies of chronic drug therapy from middle to old age and from robust to pre-frail to frail, including pre-clinical studies. These data, accompanied by pharmacodynamics data in frailty, will inform safe, effective prescribing for frail older people.

Male-Female Differences In The Effects Of Age On Performance Measures Recorded For 23 Hours In Mice

Functional independence is an important aspect of successful aging and differs with age and by sex in humans. Physical performance often declines earlier than other age-associated functional impairments. Rodent models are used to study pharmacological/toxicological effects of human therapies. However, physical outcomes in mice are usually assessed for short periods, with limited information on the influence of age and sex. Here, we investigated how age and sex affected murine physical performance over 23 hours of continuous observation. Young (3 months) and old (22 months) C57BL/6JArc male and female mice were assessed using the Laboratory Animal Behavior Observation, Registration, and Analysis System. Mice were individually housed for recording of distance travelled, mean gait speed, and durations of different physical activities. Compared to young mice of the same sex, old mice travelled significantly shorter distances with slower gait speeds, shorter durations of locomotion, rearing, climbing and immobility. Older mice groomed significantly more than young mice. Old females reared more during the light cycle than old males. Young females climbed substantially more than young males. Significant age*sex interactions were detected for rearing and climbing, whereby an age-related decline was greater in males than females. Our results suggest that old age reduces exploratory activities and increases grooming in mice. Age-related declines vary between sexes and tend to be greater in males. This non-invasive assessment can be applied to investigate how different interventions affect rodents of different ages and sexes, through the day-night cycle.

Polypharmacy and the Progression of Chronic Kidney Disease: Korean Cohort Study for Outcome in Patients with Chronic Kidney Disease

INTRODUCTION

The renal hazard of polypharmacy has never been evaluated in predialysis chronic kidney disease (CKD) patients.

OBJECTIVE

We aimed to analyze the renal hazard of polypharmacy in predialysis CKD patients with stage 1-5.

METHOD

The data of 2,238 patients from a large-scale multicenter prospective Korean study (2011-2016), excluding 325 patients with various missing data, were reviewed. Polypharmacy was defined as taking 6 or more medications at the time of enrollment; renal events were defined as a ≥50% decrease in kidney function from baseline values, doubling of the serum creatinine levels, or initiation of renal replacement treatment. Hazard ratio (HR) and 95% confidence interval (CI) were calculated using Cox proportional-hazard regression analysis.

RESULTS

Of the 1,913 patients, the mean estimated glomerular filtration rate was 53.6 mL/min/1.73 m2. The mean medication count was 4.1, and the prevalence of polypharmacy was 27.1%. During the average period of 3.6 years, 520 patients developed renal events (27.2%). Although increased medication counts were associated with increased renal hazard with HR (95% CI) of 1.056 (1.007-1.107, p = 0.025), even after adjusting for various confounders, adding comorbidity score and kidney function nullified the statistical significance. In mediation analysis, 55.6% (p = 0.016) of renal hazard in increased medication counts was mediated by the kidney function, and there was no direct effect of medication counts on renal event development. In subgroup analysis, the renal hazard of the medication counts was evident only in stage 1-3 of CKD patients (p for interaction = 0.014).

CONCLUSIONS

We cannot identify the direct renal hazard of multiple medications, and most of the potential renal hazard was derived from intimate relationship with disease burden and kidney function.

Long-term exposure to polypharmacy impairs cognitive functions in young adult female mice

The potential harmful effects of polypharmacy (concurrent use of 5 or more drugs) are difficult to investigate in an experimental design in humans. Moreover, there is a lack of knowledge on sex-specific differences on the outcomes of multiple-drug use. The present study aims to investigate the effects of an eight-week exposure to a regimen of five different medications (metoprolol, paracetamol, aspirin, simvastatin and citalopram) in young adult female mice. Polypharmacy-treated animals showed significant impairment in object recognition and fear associated contextual memory, together with a significant reduction of certain hippocampal proteins involved in pathways necessary for the consolidation of these types of memories, compared to animals with standard diet. The impairments in explorative behavior and spatial memory that we reported previously in young adult male mice administered the same polypharmacy regimen were not observed in females in the current study. Therefore, the same combination of medications induced different negative outcomes in young adult male and female mice, causing a significant deficit in non-spatial memory in female animals. Overall, this study strongly supports the importance of considering sex-specific differences in designing safer and targeted multiple-drug therapies.

A systematic review of the evidence for deprescribing interventions among older people living with frailty

BACKGROUND

Older people living with frailty are often exposed to polypharmacy and potential harm from medications. Targeted deprescribing in this population represents an important component of optimizing medication. This systematic review aims to summarise the current evidence for deprescribing among older people living with frailty.

METHODS

The literature was searched using Medline, Embase, CINAHL, PsycInfo, Web of Science, and the Cochrane library up to May 2020. Interventional studies with any design or setting were included if they reported deprescribing interventions among people aged 65+ who live with frailty identified using reliable measures. The primary outcome was safety of deprescribing; whereas secondary outcomes included clinical outcomes, medication-related outcomes, feasibility, acceptability and cost-related outcomes. Narrative synthesis was used to summarise findings and study quality was assessed using Joanna Briggs Institute checklists.

RESULTS

Two thousand three hundred twenty-two articles were identified and six (two randomised controlled trials) were included with 657 participants in total (mean age range 79-87 years). Studies were heterogeneous in their designs, settings and outcomes. Deprescribing interventions were pharmacist-led (n = 3) or multidisciplinary team-led (n = 3). Frailty was identified using several measures and deprescribing was implemented using either explicit or implicit tools or both. Three studies reported safety outcomes and showed no significant changes in adverse events, hospitalisation or mortality rates. Three studies reported positive impact on clinical outcomes including depression, mental health status, function and frailty; with mixed findings on falls and cognition; and no significant impact on quality of life. All studies described medication-related outcomes and reported a reduction in potentially inappropriate medications and total number of medications per-patient. Feasibility of deprescribing was reported in four studies which showed that 72-91% of recommendations made were implemented. Two studies evaluated and reported the acceptability of their interventions and further two described cost saving.

CONCLUSION

There is a paucity of research about the impact of deprescribing in older people living with frailty. However, included studies suggest that deprescribing could be safe, feasible, well tolerated and can lead to important benefits. Research should now focus on understanding the impact of deprescribing on frailty status in high risk populations.

TRIAL REGISTRATION

The review was registered on the international prospective register of systematic reviews (PROSPERO) ID number: CRD42019153367 .

Supporting deprescribing in hospitalised patients: formative usability testing of a computerised decision support tool

Background

Despite growing evidence that deprescribing can improve clinical outcomes, quality of life and reduce the likelihood of adverse drug events, the practice is not widespread, particularly in hospital settings. Clinical risk assessment tools, like the Drug Burden Index (DBI), can help prioritise patients for medication review and prioritise medications to deprescribe, but are not integrated within routine care. The aim of this study was to conduct formative usability testing of a computerised decision support (CDS) tool, based on DBI, to identify modifications required to the tool prior to trialling in practice.

Methods

Our CDS tool comprised a DBI MPage in the electronic medical record (clinical workspace) that facilitated review of a patient’s DBI and medication list, access to deprescribing resources, and the ability to deprescribe. Two rounds of scenario-based formative usability testing with think-aloud protocol were used. Seventeen end-users participated in the testing, including junior and senior doctors, and pharmacists.

Results

Participants expressed positive views about the DBI CDS tool but testing revealed a number of clear areas for improvement. These primarily related to terminology used (i.e. what is a DBI and how is it calculated?), and consistency of functionality and display. A key finding was that users wanted the CDS tool to look and function in a similar way to other decision support tools in the electronic medical record. Modifications were made to the CDS tool in response to user feedback.

Conclusion

Usability testing proved extremely useful for identifying components of our CDS tool that were confusing, difficult to locate or to understand. We recommend usability testing be adopted prior to implementation of any digital health intervention. We hope our revised CDS tool equips clinicians with the knowledge and confidence to consider discontinuation of inappropriate medications in routine care of hospitalised patients. In the next phase of our project, we plan to pilot test the tool in practice to evaluate its uptake and effectiveness in supporting deprescribing in routine hospital care.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12911-021-01484-z.

Chronic polypharmacy impairs explorative behavior and reduces synaptic functions in young adult mice

A major challenge in the health care system is the lack of knowledge about the possible harmful effects of multiple drug treatments in old age. The present study aims to characterize a mouse model of polypharmacy, in order to investigate whether long-term exposure to multiple drugs could lead to adverse outcomes. To this purpose we selected five drugs from the ten most commonly used by older adults in Sweden (metoprolol, paracetamol, aspirin, simvastatin and citalopram). Five-month-old wild type male mice were fed for eight weeks with control or polypharmacy diet. We report for the first time that young adult polypharmacy-treated mice showed a significant decrease in exploration and spatial working memory compared to the control group. This memory impairment was further supported by a significant reduction of synaptic proteins in the hippocampus of treated mice. These novel results suggest that already at young adult age, use of polypharmacy affects explorative behavior and synaptic functions. This study underlines the importance of investigating the potentially negative outcomes from concomitant administration of different drugs, which have been poorly explored until now. The mouse model proposed here has translatable findings and can be applied as a useful tool for future studies on polypharmacy.