BACKGROUND: Anticholinergic and sedative medications affect cognition among older adults. The Drug Burden Index (DBI) is a validated measure of exposure to these medications, with higher DBI scores indicating higher drug burden. This ancillary analysis investigated the association between DBI and cognition assessed by the Modified Mini-Mental State Examination (3MS) and the Digit Symbol Substitution Test (DSST).
METHODS: The Health, Aging, and Body Composition Study was a prospective study of community-dwelling adults aged 70-79 years at enrollment. Using data from years 1, 5, and 10, DBI was calculated using medication data per participant. Linear mixed modeling was used to assess cross-sectional and longitudinal effects of DBI on 3MS and DSST. Adjusted models included biological sex, race, education level, APOE status, and death. Sensitivity analyses included testing the strength of the associations for each year and testing attrition due to death as a possible confounding factor via Cox-Proportional Hazard models.
RESULTS: After adjustment, DBI was inversely associated with 3MS and DSST scores. These associations became stronger in each subsequent year. Neither DBI at year 1 nor within-person change in DBI were predictive of longitudinal declines in either cognitive measure. Sensitivity analyses indicated that DBI, 3MS, and DSST were associated with a greater risk of attrition due to death.
CONCLUSIONS: Results suggest that in years when older adults had a higher DBI scores, they had significantly lower global cognition and slower processing speed. These findings further substantiate the DBI as a useful pharmacological tool for assessing the effect of medication exposure.

(1) Background: Anticholinergic and sedative drugs (ASDs) contribute to negative health outcomes, especially in the frail population. In this study, we aimed to assess whether frailty increases with anticholinergic burden and to evaluate the effects of medication reviews (MRs) on ASD regimens among patients attending an acute care for the elderly (ACE) unit. (2) Methods: A cohort study was conducted between June 2019 and October 2020 with 150 consecutive patients admitted to our ACE unit. Demographic, clinical, and pharmacological data were assessed. Frailty score was determined using the Frail-VIG index (FI-VIG), and ASD burden was quantified using the drug burden index (DBI). In addition, the MR was performed using the patient-centered prescription (PCP) model. We used a paired T-test to compare the DBI pre- and post-MR and univariate and multivariate regression to identify the factors associated with frailty. (3) Results: Overall, 85.6% (n = 128) of participants showed some degree of frailty (FI-VIG > 0.20) and 84% (n = 126) of patients received treatment with ASDs upon admission (pre-MR). As the degree of frailty increased, so did the DBI (p < 0.001). After the implementation of the MR through the application of the PCP model, a reduction in the DBI was noted (1.06 ± 0.8 versus 0.95 ± 0.7) (p < 0.001). After adjusting for covariates, the association between frailty and the DBI was apparent (OR: 11.42, 95% (CI: 2.77-47.15)). (4) Conclusions: A higher DBI was positively associated with frailty. The DBI decreased significantly in frail patients after a personalized MR. Thus, MRs focusing on ASDs are crucial for frail older patients.

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.
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.
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).
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.

Introduction: Anticholinergic and sedative medication is prescribed for various conditions in older patients. While the general association between anticholinergic and sedative medication and impaired functioning is well established, its specific role in older individuals with vertigo, dizziness, and balance disorders (VDB) is still incompletely understood. The objective of this study was to investigate, whether an exposure to anticholinergic and sedative medication is associated with lower generic and lower vertigo-specific functioning in older patients with VDB. Methods: Data originates from the longitudinal multicenter study MobilE-TRA with two follow-ups, conducted from 2017 to 2019 in two German federal states. Exposure to anticholinergic and sedative medication was quantified using the drug burden index (DBI). Generic functioning was assessed by the Health Assessment Questionnaire Disability Index, appraising the amount of difficulties in performing activities of daily living (ADL). Vertigo-specific functioning was measured using the Vestibular Activities and Participation (VAP) questionnaire, assessing patient-reported functioning regarding activities of daily living that are difficult to perform because of their propensity to provoke VDB (Scale 1) as well as immediate consequences of VDB on activities and participation related to mobility (Scale 2). Longitudinal linear mixed models were applied to assess the association of exposure to anticholinergic and sedative medication at baseline and the level of generic and vertigo-specific functioning status over time. Results: An overall of 19 (7 from Bavaria) primary care physicians (mean age = 54 years, 29% female) recruited 158 (59% from Bavaria) patients with VDB (median age = 78 years, 70% female). Anticholinergic and sedative medication at baseline was present in 56 (35%) patients. An exposure to anticholinergic and sedative medication at baseline was significantly associated with lower generic functioning [Beta = 0.40, 95%-CI (0.18; 0.61)] and lower vertigo-specific functioning [VAP Scale 1: Beta = 2.47, 95%-CI (0.92; 4.02)], and VAP Scale 2: Beta = 3.74, 95%-CI [2.23; 5.24]). Conclusion: Our results highlight the importance of a close monitoring of anticholinergic and sedative medication use in older patients with VDB. When feasible, anticholinergic and sedative medication should be replaced by equivalent alternative therapies in order to potentially reduce the burden of VDB.

BACKGROUND: The Drug Burden Index (DBI) is a validated tool for assessing the dose-dependent cumulative exposure to sedative and anticholinergic medications. However, the increased risk of delirium superimposed dementia (DSD) with high DBI levels has not yet been investigated.
OBJECTIVE: This study aimed to examine the potential association between DBI scores and delirium in community-dwelling older adults with dementia.
METHODS: A total of 1105 participants with cognitive impairment underwent a comprehensive geriatric assessment. Experienced geriatricians made the final diagnosis of delirium based on DSM-IV-TR and DSM-V. We calculated the DBI as the sum of all sedatives and anticholinergics taken continuously for at least four weeks before admission. Polypharmacy was defined as regular use of five or more medications. We classified the participants as having no exposure (DBI = 0), low exposure (0 < DBI < 1), and high exposure (DBI ≥ 1).
RESULTS: Of the 721 patients with dementia, the mean age was 78.3 ± 6.7 years, and the majority were female (64.4%). In the whole sample, low and high exposures to anticholinergic and sedative medications at admission were 34.1% (n = 246) and 38.1% (n = 275), respectively. Patients in the high-exposure group had higher physical impairment (p = 0.01), higher polypharmacy (p = 0.01), and higher DBI scores (p = 0.01). In the multivariate Cox regression analysis, high exposure to anticholinergic and sedative medications increased the risk of delirium 4.09-fold compared to the no exposure group (HR = 4.09, CI: 1.63-10.27, p = 0.01).
CONCLUSIONS: High exposure to drugs with sedative and anticholinergic properties was common in community-dwelling older adults. A high DBI was associated with DSD, highlighting the need for an optimal prescription in this vulnerable population.
BACKGROUND: The trial was retrospectively registered at ClinicalTrials.gov. Identifier: NCT04973709 Registered on 22 July 2021.

Polypharmacy is associated with poor outcomes in older adults. Targeted deprescribing of anticholinergic and sedative medications may improve health outcomes for frail older adults. Our pharmacist-led deprescribing intervention was a pragmatic 2-arm randomized controlled trial stratified by frailty. We compared usual care (control) with the intervention of pharmacists providing deprescribing recommendations to general practitioners.
Community-based older adults (≥65 years) from 2 New Zealand district health boards were recruited following a standardized interRAI needs assessment. The Drug Burden Index (DBI) was used to quantify the use of sedative and anticholinergic medications for each participant. The trial was stratified into low, medium, and high-frailty. We hypothesized that the intervention would increase the proportion of participants with a reduction in DBI ≥ 0.5 within 6 months.
Of 363 participants, 21 (12.7%) in the control group and 21 (12.2%) in the intervention group had a reduction in DBI ≥ 0.5. The difference in the proportion of -0.4% (95% confidence interval [CI]: -7.9% to 7.0%) provided no evidence of efficacy for the intervention. Similarly, there was no evidence to suggest the effectiveness of this intervention for participants of any frailty level.
Our pharmacist-led medication review of frail older participants did not reduce the anticholinergic/sedative load within 6 months. Coronavirus disease 2019 (COVID-19) lockdown measures required modification of the intervention. Subgroup analyses pre- and post-lockdown showed no impact on outcomes. Reviewing this and other deprescribing trials through the lens of implementation science may aid an understanding of the contextual determinants preventing or enabling successful deprescribing implementation strategies.

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.
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.
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.
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.

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.
CONCLUSIONS: 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.
CONCLUSIONS: 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.

UNASSIGNED: Elderly people are in need of several drugs due to physiological changes and multiple chronic diseases. Studies have shown that anticholinergic drugs can cause cognitive impairment, reduced physical activity, and increased mortality in elderly population. Paying attention to the anticholinergic medication use in older adults can prevent the occurrence of adverse events and increase the quality of health care. This study was conducted to quantify exposure to anticholinergic medicines in older people in Amirkola.
UNASSIGNED: This study is a part of the comprehensive cohort project that was being conducted from 2011 on the case patients of 60 years and above that referred to the Amirkola Health Center. A total of 1532 individuals were included, of whom 54.9% were men. The drug information was obtained by observing the patient\'s prescription and self-report questionnaires and collected data were analyzed by SPSS software. Exposure to anticholinergic medications was measured using the drug burden index-anticholinergic (DBI-Ach) and the anticholinergic drug scale (ADS).
UNASSIGNED: Among the 1532 elderly people with an average age of 69.21 years, 29% had DBI>0 and 36.3% had ADS>0. Also, there was a significant correlation between DBI and ADS (R=0.758). In addition, there is a significant relationship between sex variable with DBI and ADS (P=0.0001). So, women in comparison with men had higher values of DBI and ADS.
UNASSIGNED: The findings of this study indicate that anticholinergic exposure is relatively high especially in older women, which posed special precautions to avoid inappropriate prescribing in the elderly.

BACKGROUND: Targeted deprescribing of anticholinergic and sedative medications in older people may improve their health outcomes. This trial will determine if pharmacist-led reviews lead to general practitioners deprescribing anticholinergic and sedative medications in older people living in the community.
UNASSIGNED: The standard protocol items: Recommendations for Interventional Trials (SPIRIT) checklist was used to develop and report the protocol. The trial will involve older adults stratified by frailty (low, medium, and high). This will be a pragmatic two-arm randomized controlled trial to test general practitioner uptake of pharmacist recommendations to deprescribe anticholinergic and sedative medications that are causing adverse side effects in patients.
METHODS: Community-dwelling frail adults, 65 years or older, living in the Canterbury region of New Zealand, seeking publicly funded home support services or admission to aged residential care and taking at least one anticholinergic or sedative medication regularly.
METHODS: New Zealand registered pharmacists using peer-reviewed deprescribing guidelines will visit participants at home in the community, review their medications, and recommend anticholinergic and sedative medications that could be deprescribed to the participant\'s general practitioner. The total use of anticholinergic and sedative medications will be quantified using the Drug Burden Index (DBI).
RESULTS: The primary outcome will be the change in total DBI between baseline and 6-month follow-up. Secondary outcomes will include entry into aged residential care, prolonged hospitalization, and death.
UNASSIGNED: Data will be collected at the time of interRAI assessments (T0), at the time of the baseline review (T1), at 6 months following the baseline review (T2), and at the end of the study period, or end of study participation for participants admitted into aged residential care, or who died (T3).
UNASSIGNED: Ethical approval has been obtained from the Human, Disability and Ethics Committee: ethical number (17CEN265).
BACKGROUND: ClinicalTrials.gov ACTRN12618000729224 . Registered on May 2, 2018, with the Australian New Zealand Clinical Trials Registry.