Towards Optimizing Hospitalized Older adults' MEdications (TO HOME): Multi-centre study of medication use and outcomes in routine care.

AIMS: Comprehensively investigate prescribing in usual care of hospitalized older people with respect to polypharmacy; potentially inappropriate medications (PIMs) according to Beers criteria; and cumulative anticholinergic and sedative medication exposure calculated with Drug Burden Index (DBI). Specifically, to quantify exposure to these measures on admission, changes between admission and discharge, associations with adverse outcomes and medication costs. METHODS: Established new retrospective inpatient cohort of 2000 adults aged ≥75 years, consecutively admitted to 6 hospitals in Sydney, Australia, with detailed information on medications, clinical characteristics and outcomes. Conducted cross-sectional analyses of index admission data from cohort. RESULTS: Cohort had mean (standard deviation) age 86.0 (5.8) years, 59% female, 21% from residential aged care. On admission, prevalence of polypharmacy was 77%, PIMs 34% and DBI > 0 in 53%. From admission to discharge, mean difference (95% confidence interval) in total number of medications increased 1.05 (0.92, 1.18); while prevalence of exposure to PIMs (-3.8% [-5.4, -2.1]) and mean DBI score (-0.02 [-0.04, -0.01]) decreased. PIMs and DBI score were associated with increased risks (adjusted odds ratio [95% confidence interval]) of falls (PIMs 1.63 [1.28, 2.08]; DBI score 1.21[1.00, 1.46]) and delirium (PIMs 1.76 [1.38, 1.46]; DBI score 1.42 [1.19, 1.71]). Each measure was associated with increased risk of adverse drug reactions (polypharmacy 1.42 [1.19, 1.71]; PIMs 1.87 [1.40, 2.49]; DBI score 1.90 [1.55, 2.15]). Cost (AU$/patient/hospital day) of medications contributing to PIMs and DBI was low ($0.29 and $0.88). CONCLUSION: In this large cohort of older inpatients, usual hospital care results in an increase in number of medications and small reductions in PIMs and DBI, with variable associations with adverse outcomes.

Is anticholinergic and sedative drug burden associated with postdischarge institutionalization in community-dwelling older patients acutely admitted to hospital? A Norwegian registry-based study.

PURPOSE: Investigate the association between anticholinergic (AC) and sedative (SED) drug burden before hospitalization and postdischarge institutionalization (PDI) in community-dwelling older patients acutely admitted to hospital. METHODS: A cross-sectional study using data from the Norwegian Patient Registry and the Norwegian Prescription Database. We studied acutely hospitalized community-dwelling patients ≥70 years during 2013 (N = 86 509). Patients acutely admitted to geriatric wards underwent subgroup analyses (n = 1715). We calculated drug burden by the Drug Burden Index (DBI), use of AC/SED drugs, and the number of AC/SED drugs. Piecewise linearity of DBI versus PDI and a knot point (DBI = 2.45) was identified. Statistical analyses included an adjusted multivariable logistic regression model. RESULTS: In the total population, 45.4% were exposed to at least one AC/SED drug, compared to 52.5% in the geriatric subgroup. AC/SED drugs were significantly associated with PDI. The DBI with odds ratios (ORs) of 1.11 (95% CI 1.07-1.15) for DBI < 2.45 and 1.08 (95% CI 1.04-1.13) for DBI ≥ 2.45. The number of AC/SED drugs with OR of 1.07 (95% CI 1.05-1.09). The AC component of DBI with OR 1.23 and the number of AC drugs with OR 1.13. In the subgroup, ORs were closer to 1 for AC drugs. CONCLUSIONS: The use of AC/SED drugs was highly prevalent in older patients before acute hospital admissions, and significantly associated with PDI. The number, or just using AC/SED drugs, gave similar associations with PDI compared to applying the DBI. Using AC drugs showed higher sensitivity, indicating that to reduce the risk of PDI, a clinical approach could be to reduce the number of AC drugs.

Potentially inappropriate medications and anticholinergic and sedative burden in older patients with haemophilia or von Willebrand disease: The M'HEMORRH-AGE study.

WHAT IS KNOWN AND OBJECTIVE: In older patients, multiple chronic conditions lead to the intake of multiple medications and a higher risk of adverse drug events. The exposure to inappropriate medications in older patients with bleeding disorders is poorly explored. The aim of this study was to describe the exposure to potentially inappropriate medications (PIMs) and medications with anticholinergic and sedative properties in older community-dwelling patients with haemophilia or von Willebrand Disease (VWD). METHODS: The M'HEMORRH-AGE study (Medication in AGEd patients with HAEMORRHagic disease) is a multicentre prospective observational study. Community-dwelling patients over 65 years with haemophilia or VWD were included in the study. PIMs were identified using the EU(7)-PIM list, and the anticholinergic and sedative drug exposure was measured using the Drug Burden Index. RESULTS AND DISCUSSION: 142 older community-dwelling patients with haemophilia (n = 89) or VWD (n = 53) were included (mean age: 72.8 ± 5.8 years). PIMs were used by 45.8% of older patients and were mainly represented by cardiovascular (34.9%), nervous systems (26.7%) and alimentary tract and metabolism PIMs (25.6%). Regarding anticholinergic and/or sedative medications, 37.3% of older patients were exposed mainly due to nervous system medications (68.3%), for example analgesics. WHAT IS NEW AND CONCLUSION: The M'HEMORRH-AGE study showed the exposure to PIMs and anticholinergic/sedative medications was high in older community-dwelling patients with haemophilia or VWD. Interventions focusing on deprescription of these inappropriate medications should be conducted in this specific population.

Using pharmacy dispensing data to predict falls in older individuals.

AIMS: Associations between individual medication use and falling in older individuals are well-documented. However, a comprehensive risk score that takes into account overall medication use and that can be used in daily pharmacy practice is lacking. We, therefore, aimed to determine whether pharmacy dispensing records can be used to predict falls. METHODS: A retrospective cohort study was conducted using pharmacy dispensing data and self-reported falls among 3454 Dutch individuals aged ≥65 years. Two different methods were used to classify medication exposure for each person: the drug burden index (DBI) for cumulative anticholinergic and sedative medication exposure as well as exposure to fall risk-increasing drugs (FRIDs). Multinomial regression analyses, adjusted for age and sex, were conducted to investigate the association between medication exposure and falling classified as nonfalling, single falling and recurrent falling. The predictive performances of the DBI and FRIDs exposure were estimated by the polytomous discrimination index (PDI). RESULTS: There were 521 single fallers (15%) and 485 recurrent fallers (14%). We found significant associations between a DBI ≥1 and single falling (adjusted odds ratio: 1.30 [95% confidence interval {CI}: 1.02-1.66]) and recurrent falling (adjusted odds ratio: 1.60 [95%CI: 1.25-2.04]). The PDI of the DBI model was 0.41 (95%CI: 0.39-0.42) and the PDI of the FRIDs model was 0.45 (95%CI: 0.43-0.47), indicating poor discrimination between fallers and nonfallers. CONCLUSION: The study shows significant associations between medication use and falling. However, the medication-based models were insufficient and other factors should be included to develop a risk score for pharmacy practice.

Quantifying cumulative anticholinergic and sedative drug load among US Medicare Beneficiaries.

PURPOSE: Medications with anticholinergic and sedative properties are widely used among older adults despite strong evidence of harm. The drug burden index (DBI), a pharmacological screening tool, measures these properties across drug classes, and higher DBI drug exposure (DBI > 1) has been associated with certain physical function-related adverse events. Our aim was to quantify mean daily DBI drug exposure among older adults in the United States (US). METHODS: We screened medications for DBI properties and operationalized the DBI for US Medicare claims. We then conducted a retrospective cohort study of a 20% random, nationwide sample of 4 137 384 fee-for-service Medicare beneficiaries aged 66+ years (134 757 039 person-months) from January 2013 to December 2016. We measured the monthly distribution based on mean daily DBI, categorized as (a) >0 vs 0 (any use) and (b) 0, 0 < DBI ≤ 1, 1 < DBI ≤ 2, and DBI > 2, and examined temporal trends. We described patient-level factors (eg, demographics, healthcare use) associated with high (>2) vs low (0 < DBI≤1) DBI drug exposure. RESULTS: The distribution of the mean daily DBI, aggregated at the month-level, was: 58.1% DBI = 0, 29.0% 0 < DBI≤1, 9.3% 1 < DBI≤2, and 3.7% DBI > 2. Predictors of high monthly DBI drug exposure (DBI > 2) included certain indicators of increased healthcare use (eg, high number of drug claims), white race, younger age, frailty, and a psychosis diagnosis code. CONCLUSIONS: The predictors of high DBI drug exposure can inform discussions between patients and providers about medication appropriateness and potential de-prescribing. Future Medicare-based studies should assess the association between the DBI and adverse events.

Implementation of the Goal-directed Medication review Electronic Decision Support System (G-MEDSS)© into home medicines review: a protocol for a cluster-randomised clinical trial in older adults.

BACKGROUND: Older people living in the community have a high prevalence of polypharmacy and are vulnerable to adverse drug events. Home Medicines Review (HMR) is a collaborative medication review service involving general practitioners (GPs), accredited clinical pharmacists (ACPs) and patients, which aims to prevent medication-related problems. This study aims to evaluate the implementation of a Computerised Clinical Decision Support System (CCDSS) called G-MEDSS© (Goal-directed Medication Review Electronic Decision Support System) in HMRs to deprescribe anticholinergic and sedative medications, and to assess the effect of deprescribing on clinical outcomes. METHODS: This study consists of 2 stages: Stage I - a two-arm parallel-group cluster-randomised clinical trial, and Stage II - process evaluation of the CCDSS intervention in HMR. Community-dwelling older adults living with and without dementia who are referred for HMR by their GP and recruited by ACPs will be included in this study. G-MEDSS is a CCDSS designed to provide clinical decision support for healthcare practitioners when completing a medication review, to tailor care to meet the patients' goals and preferences. The G-MEDSS contains three tools: The Goals of Care Management Tool, The Drug Burden Index (DBI) Calculator©, and The revised Patients' Attitudes Towards Deprescribing (rPATD) questionnaire. The G-MEDSS produces patient-specific deprescribing reports, to be included as part of the ACPs communication with the patient's GP, and patient-specific reports for the patient (or carer). ACPs randomised to the intervention arm of the study will use G-MEDSS to create deprescribing reports for the referring GP and for their patient (or carer) when submitting the HMR report. ACPs in the comparison arm will provide the usual care HMR service (without the G-MEDSS). OUTCOMES: The primary outcome is reduction in DBI exposure 3 months after HMR ± G-MEDSS intervention between comparison and intervention groups. The secondary outcomes include changes in clinical outcomes (physical and cognitive function, falls, institutionalisation, GP visits, medication adherence and mortality) 3-months after HMR. DISCUSSION: This study is expected to add to the evidence that the combination of CCDSS supporting medication review can improve prescribing and clinical outcomes in older adults. TRIAL REGISTRATION: The trial was registered on the Australian New Zealand Clinical Trials Registry ACTRN12617000895381 on 19th June 2017.

[Psychiatric polypharmacy and electroconvulsive therapy in treatment-resistant depression]. / Psychiatrische Polypharmazie und Elektrokonvulsionstherapie bei therapieresistenter Depression.

BACKGROUND: Despite its relevant medical risks, polypharmacy is common particularly among difficult to treat conditions, e.g. treatment refractory depression (TRD). According to numerous guidelines, electroconvulsive therapy (ECT) is the treatment of choice in severe and treatment-resistant major depression due to the high effectiveness; however, to date limited data are available concerning the effects of ECT on the concomitant prescription of psychiatric medication. METHODS: For a retrospective explorative analysis of psychiatric polypharmacy (MED) in TRD, data from 58 inpatient treatments were collected. Due to depressive episodes, all patients received psychopharmacological treatment and cognitive behavioral therapy (MED group). Of the patients 29 also underwent ECT (ECT group). Using a modified drug burden index (mod-DBI), the psychiatric medication was quantified at admission (TP0), start (TP1) and termination of ECT (TP2) and discharge in the ECT group or in comparable periods in the MED group (TP3). Differences in distribution were tested with the t-test and alterations in measurements were tested by means of variance analysis (F-test). RESULTS: Patients treated with ECT showed higher mod-DBI values at TP0, mainly due to more frequent prescription of benzodiazepines (BZD), mood stabilizers (MS) and antipsychotic drugs (AP). At the beginning of the inpatient treatment (TP0-TP1) there was an increase in BZD use (in both groups); in the ECT group MS were reduced and AP increased. In the time interval TP1-TP3, BZD (in both groups) and AP (ECT group) were again less frequently prescribed and MS (ECT and MED group) were increased again. Excluding BZD, there was a significant increase in mod-DBI in both groups, whereas the mod-DBI no longer showed significant differences at TP2 and TP3. CONCLUSION: The data possibly indicate that patients with TRD who receive ECT during inpatient treatment already have a more extensive psychiatric medication at admission. Also, psychiatric medication appears to be increased less prominently when ECT is performed. These findings and the possibly associated long-term benefits should be addressed in future research.

Anticholinergic/sedative drug burden predicts worse memory acquisition in older racially/ethnically diverse patients with type 2 diabetes mellitus.

OBJECTIVE: Anticholinergic/sedative drug use, measured by the Drug Burden Index (DBI), is linked to cognitive impairment in older adults. Yet, studies on the DBI's association with neuropsychological functioning are lacking, especially in underserved groups at increased risk of cognitive impairment. We examined cross-sectional relationships between total DBI (DBIT ) and an age-adjusted analogue (Adj DBIT ) with the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) in diverse adults with type 2 diabetes mellitus (T2DM). Based on results of a prior study, we anticipated higher DBIs would be associated with worse memory at older ages. METHODS: One hundred five adults with T2DM (age = 57 ± 9 years, 65% female, 62% Black, 27% Hispanic/Latino, HbA1c = 7.8 ± 1.8) participated. Although memory outcomes were normally distributed, DBIT values were positively skewed. Spearman correlations assessed their bivariate relationships with RBANS. Adjusting for comorbidities, polypharmacy, HbA1c , and education, we tested the moderating effect of age on DBI-RBANS associations at mean ±1 standard deviations of age. RESULTS: One third of the participants endorsed current sedative/anticholinergic use. Mean DBIT was 0.385, and mean Adj DBIT was 0.393 (ranges = 0.00-4.22). Drug burden negatively correlated with RBANS Immediate Memory (DBIT rs = -0.237, P = .013; Adj DBIT rs = -0.239, P = .014) but no other indices. There was a significant DBI*Age interaction; the negative effect of drug burden on Immediate Memory was significant for ages greater than or equal to 55 years old. CONCLUSIONS: Sedative/anticholinergic drug exposure was prevalent in these diverse T2DM patients. Adjusting for covariates, greater drug burden was associated with worse memory acquisition among older adults only. Prospective studies should examine these relationships over time and assess whether dementia biomarkers affect the interaction.

Anticholinergic and sedative medication use in older community-dwelling people: A national population study in the Netherlands.

PURPOSE: To identify the proportion of older adults with a high anticholinergic/sedative load and to identify patient subgroups based on type of central nervous system (CNS)-active medication used. METHODS: A cross-sectional study of a nationwide sample of patients with anticholinergic/sedative medications dispensed by 1779 community pharmacies in the Netherlands (90% of all community pharmacies) in November 2016 was conducted. Patients aged older than 65 years with a high anticholinergic/sedative load defined as having a drug burden index (DBI) greater than 1 were included. Proportion of patients with a high anticholinergic/sedative load was calculated by dividing the number of individuals in our study population by the 2.4 million older patients using medications dispensed from study pharmacies. Patient subgroups based on type of CNS-active medications used were identified with latent class analysis. RESULTS: Overall, 8.7% (209 472 individuals) of older adults using medications had a DBI greater than 1. Latent class analysis identified four patient subgroups (classes) based on the following types of CNS-active medications used: "combined psycholeptic/psychoanaleptic medication" (class 1, 57.9%), "analgesics" (class 2, 17.9%), "antiepileptic medication" (class 3, 17.8%), and "anti-Parkinson medication" (class 4, 6.3%). CONCLUSIONS: A large proportion of older adults in the Netherlands had a high anticholinergic/sedative load. Four distinct subgroups using specific CNS-active medication were identified. Interventions aiming at reducing the overall anticholinergic/sedative load should be tailored to these subgroups.

Impact of drug burden index on adverse health outcomes in Irish community-dwelling older people: a cohort study.

BACKGROUND: The Drug Burden Index (DBI) quantifies exposure to medications with anticholinergic and/or sedative effects. A consensus list of DBI medications available in Ireland was recently developed for use as a DBI tool. The aim of this study was to validate this DBI tool by examining the association of DBI score with important health outcomes in Irish community-dwelling older people. METHODS: This was a cohort study using data from The Irish Longitudinal Study on Ageing (TILDA) with linked pharmacy claims data. Individuals aged ≥65 years participating in TILDA and enrolled in the General Medical Services scheme were eligible for inclusion. DBI score was determined by applying the DBI tool to participants' medication dispensing data in the year prior to outcome assessment. DBI score was recoded into a categorical variable [none (0), low (> 0 and < 1), and high (≥1)]. Outcome measures included any Activities of Daily Living (ADL) impairment, any Instrumental Activities of Daily Living (IADL) impairment, any self-reported fall in the previous 12 months, any frailty criterion met (Fried Phenotype measure), quality of life (QoL) score (CASP-19 [Control Autonomy Self-realisation Pleasure] measure), and healthcare utilisation (any hospital admission and any emergency department (ED) visit) in the previous 12 months. Statistical analyses included multivariate logistic and linear regression models controlling for potential confounders. RESULTS: 61.3% (n = 1946) of participants received at least one DBI prescription in the year before their outcome assessment. High DBI exposure (DBI score ≥ 1) vs none was significantly associated with impaired function (ADL impairment adjusted OR 1.89, 95% CI 1.25, 2.88; IADL impairment adjusted OR 2.97, 95% CI 1.91, 4.61), self-reported falls (adjusted OR 1.50, 95%CI 1.03, 2.18), frailty (adjusted OR 1.74, 95% CI 1.14, 2.67), and reduced QoL (ß = - 1.84, 95%CI -3.14, - 0.54). There was no significant association between DBI exposure and healthcare utilisation. CONCLUSIONS: The findings validate the use of the DBI tool for predicting risk of functional impairment, falls, frailty and reduced QoL in older people in Ireland, and may be extended to other European countries. Integration of this tool into routine practice may be an appropriate step forward to improve outcomes in older people.

Association of Drug Burden Index with grip strength, timed up and go and Barthel index activities of daily living in older adults with intellectual disabilities: an observational cross-sectional study.

BACKGROUND: Drug Burden Index (DBI), a measure of exposure to medications with anticholinergic and sedative activity, has been associated with poorer physical function in older adults in the general population. While extensive study has been conducted on associations between DBI and physical function in older adults in the general population, little is known about associations in older adults with intellectual disabilities (ID). This is the first study which aims to examine the association between DBI score and its two sub-scores, anticholinergic and sedative burden, with two objective measures of physical performance, grip strength and timed up and go, and a measure of dependency, Barthel Index activities of daily living, in older adults with ID. METHODS: Data from Wave 2 (2013/2014) of the Intellectual Disability Supplement to the Irish Longitudinal Study on Ageing (IDS-TILDA) was analysed. Analysis of Covariance (ANCOVA) was used to detect associations and produce adjusted means for the physical function and dependency measures with respect to categorical DBI scores and the anticholinergic and sedative sub-scores (DBA and DBS). RESULTS: After adjusting for confounders (age, level of ID, history of falls, comorbidities and number of non-DBI medications, Down syndrome (grip strength only) and gender (timed up and go and Barthel Index)), neither grip strength nor timed up and go were significantly associated with DBI, DBA or DBS score > 0 (p > 0.05). Higher dependency in Barthel Index was associated with DBS exposure (p < 0.001). CONCLUSIONS: DBI, DBA or DBS scores were not significantly associated with grip strength or timed up and go. This could be as a result of established limitations in physical function in this cohort, long-term exposure to these types of medications or lifelong sedentary lifestyles. Higher dependency in Barthel Index activities of daily living was associated with sedative drug burden, which is an area which can be examined further for review.

Comparison of Nine Instruments to Calculate Anticholinergic Load in a Large Cohort of Older Outpatients: Association with Cognitive and Functional Decline, Falls, and Use of Laxatives.

OBJECTIVE: A patient's risk for anticholinergic adverse effects is frequently estimated by instruments evaluating the drugs included in his medication profile. It remains unknown, however, which characteristics should be included in such an assessment instrument aiming to reliably predict adverse anticholinergic outcomes. DESIGN: Cross-sectional study. SETTING: ESTHER cohort (Germany). PARTICIPANTS: Home-dwelling participants (N = 2,761) aged between 60 and 87 years. MEASUREMENTS: The association between anticholinergic load calculated with nine different instruments and four anticholinergic adverse outcomes was investigated in univariate and multivariate analyses. Therefore, linear models complemented with Kendall's tau rank correlation coefficients (ԏ) were applied for continuous outcomes and generalized linear models were used to derive odds ratios (ORs) with 95% confidence intervals (CIs) for binary endpoints. RESULTS: Based on the respective identification criteria for anticholinergic drugs, the nine instruments identified between 245 (9%) and 866 (31%) anticholinergic drug users (mean age ± SD: 73 ± 6 years; Mini-Mental State Examination [MMSE] score: 28.3 ± 2.07; Barthel Index: 97.1 ± 7.5; 291 reporting falls; 29 taking laxatives [surrogate for constipation]). In the multivariate analysis, only two instruments indicated a significant association between anticholinergic load and all four outcomes. The instrument considering the prescribed dose showed the strongest association with MMSE scores (ԏ = -0.10), falls (OR: 2.30; 95% CI: 1.50-3.52), and the use of laxatives (OR: 3.11; 95% CI: 1.04-9.36). CONCLUSIONS: Instruments most reliably predicted anticholinergicadverse events if they were either based on the drugs' serum anticholinergic activity and the suggestions of clinician experts or considered the actual prescribed dose.

Comparative Associations Between Measures of Anti-cholinergic Burden and Adverse Clinical Outcomes.

PURPOSE: No consensus has been reached regarding which anticholinergic scoring system works most effectively in clinical settings. The aim of this population-based cohort study was to examine the association between anticholinergic medication burden, as defined by different scales, and adverse clinical outcomes among older adults. METHODS: From Taiwan's Longitudinal Health Insurance Database, we retrieved data on monthly anticholinergic drug use measured by the Anticholinergic Risk Scale (ARS), the Anticholinergic Cognitive Burden Scale (ACB), and the Drug Burden Index - Anticholinergic component (DBI-Ach) for 116,043 people aged 65 years and older during a 10-year follow-up. For all 3 scales, a higher score indicates greater anticholinergic burden. We used generalized estimating equations to examine the association between anticholinergic burden (ARS and ACB: grouped from 0 to ≥4; DBI-Ach: grouped as 0, 0-0.5, and 0.5-1) and adverse outcomes, and stratified individuals by age-group (aged 65-74, 75-84, and ≥85 years). RESULTS: Compared with the ARS and DBI-Ach, the ACB showed the strongest, most consistent dose-response relationships with risks of all 4 adverse outcomes, particularly in people aged 65 to 84 years. For example, among those 65 to 74 years old, going from an ACB score of 1 to a score of 4 or greater, individuals' adjusted odds ratio increased from 1.41 to 2.25 for emergency department visits; from 1.32 to 1.92 for all-cause hospitalizations; from 1.10 to 1.71 for fracture-specific hospitalizations; and from 3.13 to 10.01 for incident dementia. CONCLUSIONS: Compared with the 2 other scales studied, the ACB shows good dose-response relationships between anticholinergic burden and a variety of adverse outcomes in older adults. For primary care and geriatrics clinicians, the ACB may be a helpful tool for identifying high-risk populations for interventions.

Relationship between drug burden and physical and cognitive functions in a sample of nursing home patients with dementia.

PURPOSE: The Drug Burden Index (DBI) is a tool to quantify the anticholinergic and sedative load of drugs. Establishing functional correlates of the DBI could optimize drug prescribing in patients with dementia. In this cross-sectional study, we determined the relationship between DBI and cognitive and physical functions in a sample of patients with dementia. METHODS: Using performance-based tests, we measured physical and cognitive functions in 140 nursing home patients aged over 70 with all-cause dementia. We also determined anticholinergic DBI (AChDBI) and sedative DBI (SDBI) separately and in combination as total drug burden (TDB). RESULTS: Nearly one half of patients (48%) used at least one DBI-contributing drug. In 33% of the patients, drug burden was moderate (0 < TDB < 1) whereas in 15%, drug burden was high (TDB ≥ 1). Multivariate models yielded no associations between TDB, AChDBI, and SDBI, and physical or cognitive function (all p > 0.05). CONCLUSIONS: A lack of association between drug burden and physical or cognitive function in this sample of patients with dementia could imply that drug prescribing is more optimal for patients with dementia compared with healthy older populations. However, such an interpretation of the data warrants scrutiny as several dementia-related factors may confound the results of the study.

The drug burden of anticholinergics and sedatives and influence on outcomes in the community-living oldest old: The Tokyo Oldest Old survey on Total Health (TOOTH) survey.

AIM: The objective of this study was to assess the burdens of anticholinergic and sedative drugs in community-living individuals of 85 years of age or older. METHODS: The Tokyo Oldest Old survey on Total Health (TOOTH) is a cohort study designed to assess the physical, mental, and oral health of the community-living oldest old. We investigated the relationships between the anticholinergic/sedative burden and physical/cognitive outcomes. The drug burden was assessed by the Drug Burden Index (DBI). Relationships between the DBI score and the physical/cognitive outcomes were evaluated by multivariate regression. The age-related changes (baseline to 3-year follow-up) of these outcomes were also investigated. RESULTS: At baseline, the data of 306 subjects were subjected to a cross-sectional analysis. The Instrumental Activities of Daily Living and Mini Mental State Examination scores were found to be significantly associated with the DBI score. After 3 years, the Activities of Daily Living score was significantly associated with the DBI score in 176 subjects. Changes in these outcome measures were small during the 3-year follow-up period and were not associated with the DBI scores at baseline. DISCUSSION: DBI in the community-living oldest old were evaluated. Our findings suggest that anticholinergic and sedative drugs may influence the physical and cognitive function in the oldest old. Additional studies should be performed to investigate the relationships between the change of the physical/cognitive functions and the DBI score over a long-term observation period.

Health Care Practitioners' Perspectives on Deprescribing Anticholinergic and Sedative Medications in Older Adults.

BACKGROUND: Anticholinergic and sedative (ACh-Sed) medications are commonly prescribed for older adults and are associated with adverse events. OBJECTIVES: (1) To investigate perspectives of health care practitioners (HCPs) surrounding deprescribing (withdrawal) of ACh-Sed medications in older adults; (2) to assess HCPs' perspectives on the design and implementation of a report on a patient's exposure to ACh-Sed medications using the Drug Burden Index (DBI) pharmacological tool. METHODS: This was a qualitative study using focus groups with purposive samples of accredited pharmacists (APs), general practitioners (GPs), and specialist physicians (SPs). Participants were also asked to comment on a sample DBI report of a hypothetical patient and its potential role in practice. The discussions were audiorecorded, transcribed verbatim, and thematically analyzed to derive conceptual domains. QSR NVivo Version 10 was used for data management. RESULTS: Several barriers and enablers to deprescribing ACh-Sed medications in older adults were identified. The most noteworthy barrier to deprescribing related to devolving responsibility. Predominantly, APs expressed frustration surrounding disregard by GPs of their recommendations to deprescribe medications. GPs expressed that deprescribing should be conducted by SPs and vice versa. The DBI report supported and addressed some of the identified barriers to deprescribing ACh-Sed medications in older adults. The HCPs also identified several opportunities and considerations for implementing the DBI report in practice, mainly highlighting that ACh-Sed medications are not the only high-risk medications for older people. CONCLUSIONS: Although HCPs recognize the harms associated with ACh-Sed medication use, they devolve prescribing and management responsibility to other groups of HCPs.

Different methods, different results--how do available methods link a patient's anticholinergic load with adverse outcomes?

PURPOSE: Anticholinergic drugs are known to cause physical and cognitive impairment, particularly in older patients. The total of all anticholinergic influences to which a patient is exposed is referred to as anticholinergic load. Because the anticholinergic load is defined in various ways, this review aimed to describe differences in the development and evaluation of available methods calculating the anticholinergic load. METHODS: From September 2014 to August 2015, two reviewers performed a literature search in PubMed considering relevant items of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline. We aimed to identify articles which calculated the anticholinergic load with a scale or equation and investigated its association with patient-related outcomes. From the included studies, we descriptively analyzed the identification and scoring criteria of the scales and equations with a main emphasis on their association to the reported outcomes. RESULTS: Out of 465 articles, 55 were included referring to 12 scales and one equation. Main discrepancies were located in eight different identification criteria for anticholinergic drugs, two different scoring principles, and 118 tests used for assessing outcomes. The methods most frequently detecting a significant association between the anticholinergic load and outcomes took into account the drugs' dosages and anticholinergic potencies. Interestingly, none of the methods included the patient's susceptibility for anticholinergic effects and they only rarely considered modulators of drug exposure. CONCLUSIONS: Due to hugely varying tests for assessing outcomes, the methods are scarcely comparable. For a more valuable comparison, the anticholinergic load should be calculated with all scales and the equation and correlated with patient-related outcomes.

Associations of drug burden index with falls, general practitioner visits, and mortality in older people.

AIM: On a population level in people aged ≥65 years old living in New Zealand, the aim of this study is to quantify each individual's cumulative exposure to anticholinergic and sedative medicines using the Drug Burden Index (DBI) and examine the impact of DBI on fall-related hospitalisations, general practitioner (GP) visits, and all-cause mortality. METHOD: The study used data extracted from Pharmaceutical Claims Data Mart (2011), National Minimum Data set (2012), Births, Death and Marriages (2012) and GP Visits (2012) for patient demographics, hospitalisations and mortality. Cumulative anticholinergic and sedative exposure was measured using the DBI. Polypharmacy was defined as greater than or equal to five medicines dispensed concurrently at any time during the study period. RESULTS: Amongst the study population (n = 537,387; 45% male), 43.22% were exposed to DBI drugs (95% confidence intervals (CIs) = 43.09-43.35). The odds of DBI exposure for individuals with polypharmacy are 4.92 (95%CI = 4.86-4.98) times greater than that for individuals without polypharmacy. DBI drugs were associated with fall-related hospitalisations (incidence rate ratio (IRR) 1.56, 95%CI = 1.47-1.65) and greater number of GP visits (IRR 1.13, 95%CI = 1.12-1.13). Individuals with DBI > 0 had a 1.29 times higher mortality risk (95%CI = 1.25-1.33). Polypharmacy is also associated with a higher mortality risk with a hazard ratio (HR) of 1.66 (95%CI = 1.59-1.73). CONCLUSION: Polypharmacy and exposure to DBI drugs were independently associated with fall-related hospitalisations, frequency of GP visits, and risk of mortality. On a population level, DBI may be useful as a quality indicator to guide policy to improve prescribing and optimize clinical outcomes in older people.

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.

Deprescribing electronic case reviews for older veterans at risk for falls: Effects on drug burden and falls.

BACKGROUND: Falls are the most common medication-related safety event in older adults. Deprescribing fall risk-increasing drugs (FRIDs) may mitigate fall risk. This study assesses the effects of an innovative deprescribing program in reducing FRID burden and falls-related acute visits over 1 year. METHODS: The Falls Assessment of Medications in the Elderly (FAME) Program is a pilot deprescribing program designed to improve medication safety in Veterans aged ≥65, screening positive for high fall risk at the Durham Veterans Affairs Health Care System. Central case finding and electronic case reviews with deprescribing recommendations were completed by an interdisciplinary team, forwarded to prescribers for approval, then implemented during follow-up telephone visits by FAME team. Primary outcome was change in FRID burden calculated by modified Drug Burden Index (DBI) at 1 year and an exploratory outcome was 1-year fall-related acute visits. RESULTS: Overall, 472 patients (236 intervention cases, 236 matched controls) were included in the study. Of the 236 patients receiving a FAME deprescribing plan, 147 had recommendations approved by prescriber and patient. In the intention-to-treat analysis, the 1-year change in modified DBI was -0.15 (95% CI -0.23, -0.08) in the intervention cohort and -0.11 (-0.21, -0.00) in the matched control cohort (p = 0.47). The odds of increasing DBI by a clinically important threshold of 0.5 was significantly lower in the FAME cohort (OR 0.37, 0.21, 0.66). Fall-related acute events occurred in 6.3% of patients in the intervention group versus 11.0% in control patients over a one-year period (p = 0.10). CONCLUSIONS: The program was associated with a significantly lower odds of further increasing FRID burden at 1 year compared to matched controls. An electronic case review and telephone counseling program has the potential to reduce drug-related falls in high-risk older adults.