Patterns of inappropriate prescribing and clinical characteristics in patients at admission to an acute care of the elderly unit.

PURPOSE: Inappropriate prescribing (IP) is common among the elderly and is associated with adverse health outcomes. The role of different patterns of IP in clinical practice remains unclear. The aim of this study is to analyse the characteristics of different patterns of IP in hospitalized older adults. METHODS: This is a prospective observational study conducted in the acute care of elderly (ACE) unit of an acute hospital in Barcelona between June and August 2021. Epidemiological and demographic data were collected, and a comprehensive geriatric assessment (CGA) was performed on admitted patients. Four patterns of inappropriate prescribing were identified: extreme polypharmacy (10 or more drugs), potentially inappropriate medications (PIMs), potential prescribing omissions (PPOs) and anticholinergic burden. RESULTS: Among 93 admitted patients (51.6% male, mean age of 82.83), the main diagnosis was heart failure (36.6%). Overprescribing patterns (extreme polypharmacy, PIMs, PPOs and anticholinergic burden) were associated with higher comorbidity, increased dependence on instrumental activities of daily living (IADL) and greater prevalence of dementia. Underprescribing (omissions) was associated with important comorbidity, residence in nursing homes, an increased risk of malnutrition, higher social risk and greater frailty. Comparing different patterns of IP, patients with high anticholinergic burden exhibited more extreme polypharmacy and PIMs. In the case of omissions, no association was identified with other IP patterns. CONCLUSIONS: We found statistically significant association between patterns of inappropriate prescribing and clinical and CGA variables such as comorbidity, dependency, dementia or frailty. There is a statistically significant association between patterns of overprescribing among patients admitted to the ACE unit.

Delirium Subtypes and Associated Characteristics in Older Patients With Exacerbation of Chronic Conditions.

OBJECTIVE: The prevalence and prognosis of delirium motor subtypes are not yet well established. We analyzed the prevalence of motor subtypes of delirium, as well as their risk factors and outcomes, among older vulnerable patients admitted for short-term management of exacerbated chronic conditions. METHODS: Cohort study of patients aged 65 and older who developed delirium while admitted to a subacute care unit for 12 months (N = 352). Confusion Assessment Method was used to determine the presence of delirium and the Delirium Motor Subtype Scale was used to define the motor subtype. Outcomes included discharge destination, mortality, readmission, and functional trajectories. RESULTS: Out of 352 patients with delirium (mean age= 87.4, 73.6% with dementia), hyperactive delirium was the most prevalent subtype (40.6%), followed by mixed (31%), hypoactive (25.9%), and nonmotor (2.6%). In multivariate models, worse preadmission functional status (odds ratio [OR] [95% confidence interval {CI}] = 0.97 [0.96-0.98]) and higher comorbidity (OR [95% CI] = 1.3 [1.04-1.51]) were associated with an increased risk of hypoactive delirium. In multivariate models adjusted for different variables, including disability, hypoactive delirium was associated with mortality compared with hyperactive delirium (OR [95% CI] = 4.7 [1.6-14]) and mixed delirium (OR [95% CI] = 2.0 [1.02-3.9]) and with worse functional recovery (Beta[95% CI] = -0.2 [-12.0-(-0.4)]). CONCLUSION: Delirium motor subtypes were associated with different patient characteristics and outcomes. Hypoactive delirium seems to affect more vulnerable patients and to be associated with worse outcomes. More research on the different delirium subtypes could help develop better preventive and management strategies.

Qualitative neurological gait abnormalities, cardiovascular risk factors and functional status in older community-dwellers without neurological diseases: The Healthy Brain Project.

BACKGROUND: Neurologic gait abnormalities (NGA) increase risk for falls and dementia, but their pathophysiologic substrates or association with disability have been poorly investigated. We evaluated the association of NGA with clinical characteristics and functional status in older community-dwellers. METHODS: Gait characteristics were measured in older community-dwellers without neurological or psychological diseases participating to the Health Aging Body Composition study. NGA were rated using standardized readings of video-recorded short walks, combined with standard neurological exam. We tested cross-sectional associations with demographics, vascular risk factors, comorbidities, cognitive function and disability. RESULTS: Of 177 participants (median age [IQR] = 82 [4] years, 55% women, 58% Caucasian), 49 (27.7%) had NGA. The most prevalent sub-types were unsteady (10.7%), hemiparetic (4.5%) and parkinsonian (4%). In multivariable logistic regression models, diabetes was associated with higher risk (OR = 3.24, 95% CI = 1.38-7.59), whereas higher physical activity (OR = 0.89, 95% CI = 0.80-0.99) and gait speed (OR = 0.04, 95% CI = 0.005-0.27) with lower risk of NGA. Prevalence of NGA was associated with difficulty in at least 1 activity of daily living, adjusting for confounders (OR = 2.90, 95% CI = 1.11-7.58). After adjusting for gait speed, this association was attenuated to non-significance (OR = 2.13, 95% CI = 0.71-6.37). CONCLUSIONS: In our sample of community-dwelling older adults without neurological diseases, NGA, detected with a standardized neurological exam, part of usual physicians' training, were common. The relationships with diabetes and reduced physical activity might suggest vascular dysfunction as an underlying contributor to NGA. These results, if confirmed by longitudinal studies, which should also disentangle the relationship between NGA, gait speed and disability, might add information for preventing and managing mobility disability.