Aim The aim was to investigate associations between drugs with anticholinergic effects (DACEs) and cognitive impairment, falls and all‐cause mortality in older adults. Methods A literature search using CINAHL, Cochrane Library, Embase and PubMed databases was conducted for randomized controlled trials, prospective and retrospective cohort and case‐control studies examining the use of DACEs in subjects ≥65 years with outcomes on falls, cognitive impairment and all‐cause mortality. Retrieved articles were published on or before June 2013. Anticholinergic exposure was investigated using drug class, DACE scoring systems (anticholinergic cognitive burden scale, ACB; anticholinergic drug scale, ADS; anticholinergic risk scale, ARS; anticholinergic component of the drug burden index, DBIAC) or assessment of individual DACEs. Meta‐analyses were performed to pool the results from individual studies. Results Eighteen studies fulfilled the inclusion criteria (total 124 286 participants). Exposure to DACEs as a class was associated with increased odds of cognitive impairment (OR 1.45, 95% CI 1.16, 1.73). Olanzapine and trazodone were associated with increased odds and risk of falls (OR 2.16, 95% CI 1.05, 4.44; RR 1.79, 95% CI 1.60, 1.97, respectively), but amitriptyline, paroxetine and risperidone were not (RR 1.73, 95% CI 0.81, 2.65; RR 1.80, 95% CI 0.81, 2.79; RR 1.39, 95% CI 0.59, 3.26, respectively). A unit increase in the ACB scale was associated with a doubling in odds of all‐cause mortality (OR 2.06, 95% CI 1.82, 2.33) but there were no associations with the DBIAC (OR 0.88, 95% CI 0.55, 1.42) or the ARS (OR 3.56, 95% CI 0.29, 43.27). Conclusions Certain individual DACEs or increased overall DACE exposure may increase the risks of cognitive impairment, falls and all‐cause mortality in older adults.

Background Multidimensional Prognostic Index (MPI) is useful as a prognostic tool in hospitalized older patients, but our knowledge is derived from retrospective studies. We therefore aimed to evaluate in a multicenter, longitudinal, cohort study whether the MPI at hospital admission is useful to identify groups with different mortality risk and whether MPI at discharge may predict institutionalization, rehospitalization, and use of home care services during 12 months. Methods This longitudinal study, carried out between February 2015 and August 2017, included nine public hospitals in Europe and Australia. A standardized comprehensive geriatric assessment including information on functional, nutritional, cognitive status, risk of pressure sores, comorbidities, medications, and cohabitation status was used to calculate the MPI and to categorize participants in low, moderate, and severe risk of mortality. Data regarding mortality, institutionalization, rehospitalization, and use of home care services were recorded through administrative information. Results Altogether, 1,140 hospitalized patients (mean age 84.1 years, women = 60.8%) were included. In the multivariable analysis, compared to patients with low risk group at admission, patients in moderate (odds ratio [OR] = 3.32; 95% CI: 1.79–6.17; p < .001) and severe risk (OR = 10.72, 95% CI: 5.70–20.18, p < .0001) groups were at higher risk of overall mortality. Among the 984 older patients with follow-up data available, those in the severe-risk group experienced a higher risk of overall mortality, institutionalization, rehospitalization, and access to home care services. Conclusions In this cohort of hospitalized older adults, higher MPI values are associated with higher mortality and other negative outcomes. Multidimensional assessment of older people admitted to hospital may facilitate appropriate clinical and postdischarge management.

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Conventional end-points, primarily based on the pharmacodynamic effects of a specific drug, are used to assess the efficacy of pharmacological treatment in clinical trials. However, their application and interpretation in complex frail older patients, a patient group with high inter-individual variability, multiple coexisting disease states and prescribed medications, is becoming increasingly questionable. National surveys and qualitative studies have convincingly shown that the maintenance of functional independence is key to self-rated health and well being in old age. Therefore, the use of unconventional, patientcentered, end-points focused on functional status and perceived health seems appropriate, in combination with conventional end-points, to comprehensively investigate the impact of pharmacological treatments in this patient group. The recent availability of objective, quantifiable, and robust scoring tools, such as the multidimensional prognostic index, to assess key functional domains and clinical outcomes offers a unique opportunity to adequately characterize patient-centered endpoints in future clinical trials in older patients.

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