No abstract

No abstract

No abstract

Background: Depression is one of the most common mental disorders among older adults and depressive symptoms are strongly associated with adverse health outcomes. We aim to examine whether depressive symptoms are associated with sarcopenia and malnutrition in older adults. Methods: We reviewed hospital records of 447 patients (≥65 years) who were admitted to the outpatient clinics, retrospectively. In addition to demographic characteristics, all participants were measured for usual gait speed (UGS), handgrip strength (HGS) and skeletal muscle mass (SMMI) by using bioelectrical impedance analysis. The Geriatric Depression Scale (GDS) was used to assess depressive symptoms. Nutritional status was screened by a mini-nutritional assessment (MNA). Cognitive function was assessed from the Mini-Mental State Examination (MMSE). Results: Of the 215 participants who remained after performing exclusion criteria (a clinical diagnosis of dementia (n 63), stroke (n 61), Parkinson's disease or other neurodegenerative disease (n 30), previous depression diagnosis or antidepressant medication use (n 144)), the mean age was 78 AE 8.3, the majority were female (n 133) and almost half had depressive symptoms (49.3%). Thirty-six percent had malnutrition, and 23 % had sarcopenia. The participants with depressive symptoms had lower MMSE scores (P < 0.001) and correlated with muscle mass (P < 0.001, r = À0.382), muscle strength (P < 0.001, r = À0.288), and MNA (P < 0.001, r = 0.355). Multivariate logistic regression showed that depressive symptoms were independently associated with low muscle strength (HGS: odds ratio (OR) 0.913, 95% CI: 0.866-0.962, P = 0.001), low muscle mass (SMMI: OR, 0.644, 95% CI: 0.509-0.814, P < 0.001), sarcopenia (OR, 2.536, 95% CI: 1.256-5.117, P = 0.009) and malnutrition (OR, 2.667, 95% CI: 1.467-4.850, P = 0.001). Conclusion: This study demonstrated that depressive symptoms were independently associated with sarcopenia and malnutrition in older adults. Depressive disorders may lead to impaired cognitive dysfunction. Older adults at increased risk of sarcopenia and malnutrition should be screened for depression earlier.

Aims In this study, we aimed to reveal mortality rates and factors affecting survival in geriatric patients infected with COVID-19. Methods This is a retrospective study of 873 geriatric patients with COVID-19 who were hospitalized between March 11, 2020 and March 11, 2021. Demographic, clinical, laboratory data, and treatment options were obtained from electronic medical records. Multivariate logistic regression was used to explore the risk factors for in-hospital death. Results During the specified period, 643 patients were discharged, and 230 patients died in the hospital. The mean age was 75.08 ± 7.39 years (mean ± SD) and 51.8% were males. We found that older age (≥ 85), polypharmacy, dyspnea, abnormal thorax computed tomography (CT), lower doses of anticoagulation, and high values of white blood cell, aspartate aminotransferase, C-reactive protein, lactate dehydrogenase, ferritin were associated with a significant increase in mortality ( P < 0.001 for all). Although all of these values were significant in multivariate logistic regression analysis, the most important ones were dyspnea (Odds ratio (OR) 57.916, 95% confidence interval (CI) 23.439–143.104, P < 0.001), polypharmacy (OR 6.782, 95% CI 3.082–14.927, P < 0.001), and thorax CT classification (typical; OR 9.633, 95% CI 2.511–37.122, P < 0.001). Conclusion Older age, polypharmacy, dyspnea, and abnormal thorax CT were the most significant mortality criteria and in addition appropriate anticoagulant use was associated with reduced mortality. Identifying the risk factors to predict mortality in older adults with COVID-19 is important to treat future cases successfully.