ABSTRACT
BACKGROUND: Although depression and anticholinergic drug use are common comorbidities that impair health status in later life, there are insufficient data on their relationship. This study aimed to investigate the relationship between depressive symptoms and anticholinergic use in older individuals. METHODS: Community-dwelling older adults (≥65 years) admitted to the tertiary referral geriatric outpatient clinic were included. Participants were evaluated for depressive symptoms using the Geriatric Depression Scale (GDS) with a cut-off score of ≥6 for depression. Exposure to anticholinergic drugs was assessed using the anticholinergic cognitive burden (ACB) scale and three subgroups were created: ACB = 0, ACB = 1, and ACB ≥ 2. The relationship between these two parameters was assessed using multivariate logistic regression analysis considering other potential variables. RESULTS: The study included 1232 participants (mean age 78.4 ± 7.2 years and 65.2% female) and the prevalence of depression was 24%. After adjusting for potential confounders, compared to ACB = 0, having ACB ≥ 2 was related to depression symptoms (odds ratio (OR): 1.56, 95% CI: 1.04-2.35, P = 0.034), whereas having ACB = 1 did not increase the risk (OR: 1.27, 95% CI: 0.88-1.83, P = 0.205). CONCLUSION: Our findings indicate that special attention should be paid to drug therapy in preventing depression in older adults, as exposure to a high anticholinergic load is negatively associated with psychological status.
Subject(s)
Cholinergic Antagonists , Depression , Humans , Aged , Female , Male , Cholinergic Antagonists/adverse effects , Cross-Sectional Studies , Depression/epidemiology , Depression/drug therapy , Aged, 80 and over , Independent Living , Geriatric Assessment/methods , Prevalence , Psychiatric Status Rating Scales , Comorbidity , Logistic ModelsABSTRACT
PURPOSE: Identifying the associated clinical conditions in patients with newly diagnosed dementia with Lewy bodies (DLB) may contribute to the disease management. This study aimed to examine the clinical features and coexisting geriatric syndromes of patients with newly diagnosed DLB. METHOD: This cross-sectional study included newly diagnosed DLB participants who were admitted to a tertiary geriatric outpatient clinic. Of the 857 patients with dementia, 116 DLB diagnoses were eligible for analysis. The core and supportive clinical features of DLB were recorded. Geriatric syndromes including polypharmacy, depression, insomnia, dependency, a history of delirium, falls, malnutrition, urinary incontinence, functional impairment, and living alone, were assessed and recorded at baseline. RESULTS: The mean age was 79.0 ± 6.9 years, and 50.9% of the participants were female. The majority (63.8%) had mild dementia, 31.9% had moderate, and 4.3% had severe disease. Cognitive fluctuations (78.4%), visual hallucinations (77.6%), and Parkinsonism (73.3%) were the most common clinical features. Functional impairment (59.5%) and urinary incontinence (59.5%) were the leading geriatric syndromes, followed by polypharmacy (56.9%), depressive symptoms (54.7%), falls (52.6%), insomnia (49.1%), malnutrition (24.3%), and delirium (6.0%). Women had more functional impairment and depressive symptoms than men. CONCLUSION: Although most patients had mild dementia, three-quarters of the DLB cohort had hallucinations, and nearly two-thirds were functionally impaired. The proportion of other serious health conditions also increased, indicating a high comorbidity and geriatric syndrome burden. Comprehensive geriatric assessment is strongly recommended for DLB patients from the time of diagnosis until death to reduce disability and comorbidities. THE CLINICAL TRIAL REGISTRATION NUMBER: NCT05052450.
Subject(s)
Delirium , Dementia , Lewy Body Disease , Sleep Initiation and Maintenance Disorders , Urinary Incontinence , Male , Humans , Female , Aged , Aged, 80 and over , Lewy Body Disease/complications , Lewy Body Disease/diagnosis , Lewy Body Disease/epidemiology , Retrospective Studies , Turkey/epidemiology , Sleep Initiation and Maintenance Disorders/diagnosis , Sleep Initiation and Maintenance Disorders/epidemiology , Sleep Initiation and Maintenance Disorders/complications , Cross-Sectional Studies , Syndrome , Dementia/diagnosis , Dementia/epidemiology , Hallucinations/epidemiology , Hallucinations/complications , Urinary Incontinence/epidemiology , Urinary Incontinence/complications , Delirium/diagnosis , Delirium/epidemiologyABSTRACT
OBJECTIVE: Coronavirus disease 2019 (COVID-19) is an emerging, fast-spreading, highly mortal and worldwide infectious disease. The pulmonary system was defined as the main target of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), but the mortality concept of this disease presented with more severe and systemic disease. The present study investigated the relationship between the patient characteristics at the initial hospital administration and fatality in COVID-19 patients. METHODS: In this retrospective and comparative cohort study, all the 767 hospitalised COVID-19 patients, treated between 18 March and 15 May 2020 in the Covid Clinics of Gulhane Training and Research Hospital in Ankara, Turkey, were evaluated. RESULTS: The fatality rate was significantly increased in patients with any comorbid disease except asthma. The initial laboratory test results indicated highly significant differences according to the patient's outcome. A multifactor logistic regression analysis was performed to calculate the adjusted odds ratios for predicting patient outcomes. Being older than 60 years increased the death risk with an adjusted OR of 7.2 (95% CI: 2.23-23.51; P = .001). The presence of a cancer and the extended duration of intensive care unit treatment were other significant risk factors for nonsurvival. Azithromycin treatment was determined as significantly reduced the death ratio in these patients (P = .002). CONCLUSION: It was revealed that being older than 60 years, presence of a cancer and extended duration of ICU treatment were the major risk factors for predicting fatality rate in hospitalised COVID-19 patients.