Impact of cumulative exposure to anticholinergic and sedative drugs on cognition in older adults: a memory clinic cohort study.

BACKGROUND: Long-term exposure to anticholinergic and sedative drugs could be a modifiable risk factor for cognitive decline. The objective of this study was to measure the association between previous cumulative anticholinergic and sedative drug exposure (Drug Burden Index) and cognitive decline. METHODS: A cohort study (MEMORA cohort) was conducted in a French memory clinic for patients attending a consultation between November 2014 and December 2020, with at least 2 Mini-Mental State Examination (MMSE) measurements (≥ 6 months apart) and available medication data from the local Primary Health Insurance Fund database (n = 1,970). Drug Burden Index was linearly cumulated until each MMSE measurement and was used to categorise patients according to their level of exposure (no exposure, moderate, or high). The longitudinal association between Drug Burden Index and MMSE was assessed using a multivariate linear mixed model, adjusted for age, education level, anxiety disorders, depressive disorders, functional autonomy, and behavioural disorders. RESULTS: Overall, 1,970 patients were included with a mean follow-up duration of 2.78 years (± 1.54) and 2.99 visits per patients (5,900 MMSE + Drug Burden Index measurements collected). At baseline, 68.0% of patients had moderate cumulative anticholinergic and sedative drug exposure and a mean MMSE of 21.1. MMSE decrease was steeper in patients with moderate and high Drug Burden Index ( -1.74 and -1.70/year, respectively) than in patients with no exposure (-1.26/year) after adjusting for age, education, anxiety and depressive disorders, functional autonomy, and behavioural disorders (p < 0.01). CONCLUSIONS: Long-term exposure to anticholinergic and sedative drugs is associated with steeper cognitive decline. Medication review focusing on de-prescribing these drugs could be implemented early to reduce cognitive impairment.

Clinical impact of an individualised clinical pharmacy programme into the memory care pathway of older people: an observational study.

BACKGROUND: In older patients, medication exposure [i.e. polypharmacy, potentially inappropriate medications (PIMs), medications with anticholinergic and/or sedative properties] is a modifiable risk factor associated with cognitive iatrogenic risk and dementia. AIM: To assess the potential clinical impact of the implementation of an individualised clinical pharmacy programme at the initiation of the Memory care pathway in older patients with a cognitive complaint. METHOD: This prospective observational study included older patients with high-risk of adverse drug event (HR) admitted in a French geriatric university hospital to explore the cognitive complaint or the cognitive disorder between January and November 2021. Drug-related problems (DRPs) were identified during a medication review performed in HR patients, and pharmaceutical interventions (PIs) notified in the patient's hospitalisation report were collected. The clinical impact of PIs was assessed by an expert panel (geriatricians and clinical pharmacists) using the Clinical, Economic, and Organisational (CLEO) tool. RESULTS: Overall, 326 patients were eligible and 207 (63.5%) were considered as HR patients. Among HR patients, 88.9% (n = 184) were treated using at least 5 medications (polypharmacy), and 36.7% (n = 76) received at least one PIM with cognitive iatrogenic risk. During the medication review, 490 PIs were provided and their clinical impact was rated as minor for 57.3% (n = 281), moderate for 26.7% (n = 131), and major for 2.5% (n = 12). CONCLUSION: The integration of clinical pharmacist secured the Memory care pathway of older patients with a cognitive complaint by identifying an important number of DRPs and PIMs with potential cognitive iatrogenic risk.

Increasing the number of pharmacist-led medication order reviews using the available workforce: a retrospective study.

BACKGROUND: Due to staffing constraints, several hospitals have defined targeting strategies for pharmacist-led medication order review, leaving non-targeted patients exposed to potential harmful drug-related problems (DRPs). Using targeting criteria to stratify medication order review level (level 1 (L1): orders, basic patient characteristics; level 2 (L2) or comprehensive medication order review: orders, patient characteristics, medical records, laboratory results) could make it possible to save time and increase the overall number of medication order reviews. This study aims to define targeting criteria to stratify medication order review level and estimate the time saved for the performance of additional medication order reviews. METHOD: This retrospective single-centre study included all medication order reviews performed in 2020; DRPs were collected to assess the medication order review level required to detect them. Logistic regressions were performed to define patient characteristics associated with L2. These targeting criteria were applied to the cohort to estimate the time saved and the number of additional medication order reviews which could have been performed using this approach. RESULTS: 2478 DRPs were reported; 54.2% (1343/2748) could have been detected using an L1 medication order review (representing 48.2% of the patients (829/1721)). L2 medication order reviews were significantly associated with age ≥65 years, male, and renal clearance <60 mL/min (OR≥75yo=1.79; OR65-74yo=1.74; ORfemale=0.74; OR30-59mL/min=1.67; OR<30mL/min=2.62; p<0.05). Sex being a confounding factor, only age and renal clearance were used as targeting criteria. The time saved was estimated at 274 hours per year, leading to an additional 1720 medication order reviews (54 hospital beds). CONCLUSION: The proposed approach would maintain a satisfying level of safety and quality for patients, by performing an L2 medication order review for targeted patients based on age and renal clearance, while improving medication order review coverage with an L1 medication order review for non-targeted patients, using the available workforce.

[Breathing filters in hospital, COVID first-wave experience]. / Filtres respiratoires à l'hôpital, l'expérience de la première vague de COVID.

During the coronavirus pandemic, breathing filters have been essential in the medical care of infected patients. The worldwide demand caused a disruption in the supply, which led to a multiplication of the references used. The lack of formation available on the subject was an impediment for pharmacists (buyer, medical devices, intensive car unit) and it appears to be necessary to redact a formation about those filters, from the experience acquired during the sanitary crisis. Multiple breathing filters references exist which may be classify according to their filtration mechanism (mechanical filtration or electrostatic filtration) and by the eventual presence of a humidifying action (Heat and Moisture Exchangers; hydrophobic, hygroscopic, or mixed). In anaesthesia, the use of pure mechanical filter is preferred; in resuscitation unit, heat and moisture exchangers filter or simple filter plus heated humidifier are used. During the COVID-19 pandemic, the filters duration of use has been lengthened to limit the disruption risk.

Medication exposure and frailty in older community-dwelling patients: a cross-sectional study.

Objective To investigate the association between the medication exposure, measured by the polypharmacy/excessive polypharmacy and the anticholinergic and/or sedative drug exposure, on frailty status among French older community-dwelling patients. Setting day-care unit in France (Lyon), with retrospective data from July, 2017 to March, 2018. Method This monocentric cross-sectional study included community-dwelling patients aged 65 years and over and admitted at the day-care unit for a geriatric evaluation. Frailty was assessed according to the frailty phenotype, described by Fried et al. Polypharmacy and excessive polypharmacy were defined as the concomitant use of 5-9 and 10 or more drugs, respectively. The cumulative anticholinergic and sedative exposure was measured using the drug burden index (DBI). The DBI score was presented in 4 differentiated scores: a null score (DBI = 0), a combined score (anticholinergic and sedative score), an anticholinergic score, and a sedative score. The association between medication and frailty was assessed by logistic regression models controlled for multiple potential confounders. Main outcome measure Association between medication exposure (polypharmacy, anticholinergic and sedative exposure) and frailty. Results In this study, 403 patients were included: 44.7% were frail and 40.7% were pre-frail. Polypharmacy and excessive polypharmacy affected 44.7% and 17.1% of the population respectively. The mean DBI was 0.33 ± 0.43, with 16.4% of patients with only sedative exposure, 9.7% with only anticholinergic exposure and 33.0% with both exposures. After adjustment, polypharmacy and excessive polypharmacy were associated with frailty with adjusted odds ratios (95% confidence interval) of 2.18 (1.03-4.22) and 2.72 (1.01-7.37) respectively. The cumulative exposure to anticholinergic and sedative drugs (combined score) was significantly associated to an increased risk for frailty with adjusted odds ratios (95% confidence interval) of 3.54 (1.47-8.57). Conclusion The study showed that polypharmacy and cumulative anticholinergic and sedative exposure are associated with frailty. Further research should address the potential benefit of collaborative medication review for preventing medication-associated frailty.