The impact of COVID-19 pandemic on the geriatric inpatient unit.

OBJECTIVE: We aimed to determine the effects of the pandemic on the inpatients in the geriatric unit by comparing the demographic and clinical characteristics, reasons for hospitalization, morbidity, and mortality of the patients before and during the pandemic. METHODS: The population of this retrospective, cross-sectional study consisted of inpatients in the geriatric unit for two years (11 March 2019-10 March 2021). The patients were separated into two groups according to the hospitalization time as pre-COVID-19 and COVID-19 period. Hospitalization types, reasons for hospitalization, length of stay, demographic data, chronic diseases, drugs, developed morbidities, discharge, and 1-year mortality status of the patients were recorded. RESULTS: Three hundred and fifty patients were included in our study. The mean age was 80.4 ± 8.02. It was observed that the number of hospitalized patients decreased by ∼50% in the COVID-19 period. However, there was a significant decrease in hospitalization due to the control of chronic diseases during the COVID-19 period (p = .008). The number of inpatients from the emergency department was found to be higher during the COVID-19 period (p < .001). Regarding the presence of geriatric syndromes, polypharmacy (p = .011) and delirium (p = .035) were found to be significantly less in the pre-COVID-19 period. The percentage of malnutrition was also detected as lower, but it was not statistically significant. In terms of 1-year mortality, although not statistically significant, the all-cause mortality rate was higher during the COVID-19 period (p = .08). CONCLUSIONS: Pandemic has greatly affected the geriatric unit. The prognosis of the patients has worsened and mortality rates have increased. Physiological and psychological deterioration caused by quarantine measures, worsening chronic diseases, and immunosenescence affected the prognosis of geriatric patients. This adds to the previous literature by proving the fact that older individuals are the most vulnerable group in the pandemic.

Factors affecting mortality in geriatric patients hospitalized with COVID-19

Background/aim: We aimed to investigate the factors affecting the mortality of patients aged 65 years or older who were hospitalized with the diagnosis of new coronavirus pneumonia (COVID-19). Materials and methods: This is a retrospective study of patients 65 years old or older with COVID-19 who were hospitalized in Istanbul University-Cerrahpasa, Cerrahpasa Medical Faculty Hospital, between March 11 and May 28, 2020. Demographic, clinical, treatment, and laboratory data were extracted from electronic medical records. We used univariate and multivariate logistic regression methods to explore the risk factors for in-hospital death. Results: A total of 218 patients (112 men, 106 women) were included, of whom 166 were discharged and 52 died in hospital. With univariate analysis, various clinical features and laboratory variables were found to be significantly different (i.e. P < 0.05). In multivariate logistic regression analysis the following were independently associated with mortality: present malignancy [odds ratio (OR) = 4.817, 95% confidence interval (CI) = 1.107­20.958, P: 0.036]; dyspnea (OR = 4.652, 95% CI = 1.473­14.688, P: 0.009); neutrophil/lymphocyte ratio (NLR; OR = 1.097, 95% CI = 1.012­1.188, P: 0.025); the highest values of C-reactive protein (CRP; OR = 1.006, 95% CI = 1.000­1.012, P: 0.049), lactate dehydrogenase (LDH; OR = 1.002, 95% CI = 1.001­1.004, P: 0.003), and creatinine levels (OR = 1.497, 95% CI = 1.126­1.990, P: 0.006); oxygen saturation (SpO2) values on admission (OR = 0.897, 95% CI = 0.811­0.993, P: 0.036); and azithromycin use (OR = 0.239, 95% CI = 0.065­0.874, P: 0.031). Conclusion: The presence of malignancy; symptoms of dyspnea; high NLR; highest CRP, LDH, and creatinine levels; and low SpO2 on admission predicted mortality. On the other hand, azithromycin use was found to be protective against mortality. Knowing the causes predicting mortality will be important to treat future cases more successfully.

Comparison of attention for malnutrition research on social media versus academia: Altmetric score analysis.

OBJECTIVES: In this study, we aimed to provide bibliometric and Altmetric overviews and visualization and to evaluate the correlation between traditional bibliometric and Altmetric analyses in the field of malnutrition. METHODS: Articles published in the past decade were identified by searching for the term "malnutrition" on the Web of Science indexing database and research platform. The top 50 cited articles were analyzed in terms of title, study type, topic of study, first author, publication year, citation number, keywords, organizations, average citations per year, journal H index, impact factor, and Altmetric attention score. Also, the top 50 Altmetric articles published in the past decade about malnutrition were provided on the website Altmetric.com. RESULTS: Among the top 50 cited articles, the most common study type, topic of study, publication year, and keyword were, respectively, original scientific paper (n = 26), definition-diagnosis of malnutrition (n = 17), 2010 (n = 13), and malnutrition (n = 18). The article titled "Maternal and child undernutrition and overweight in low-income and middle-income countries" in Lancet had the highest citation number, and the article "Impacts of COVID-19 on childhood malnutrition and nutrition-related mortality" in Lancet had the highest Altmetric score. CONCLUSIONS: Evaluating academic publications with an Altmeric analysis in addition to a traditional bibliometric analysis is beneficial because Altmetric attention scores can give information about what the population wants to know about malnutrition and allows us to develop appropriate policies.