https://www.selleckchem.com/products/n6-methyladenosine.html 6, 95% CI 1.2-19.2), C-reactive protein OR=16.7, 95% CI 2.9-18.9), haemoglobin (OR=16.8, 95% CI 2.4-19.1) and D-dimer levels (OR=5.2, 95% CI 1.2-23.1). The model was effective, with an area under the receiver-operating characteristic curve of 0.944 (95% CI 0.89-0.99, p<0.001) in the derived cohort and 0.8152 (95% CI 0.803-0.97; p<0.001) in the validation cohort. Predictors based on the characteristics of patients with COVID-19 at hospital admission may help predict the risk of subsequent critical illness. Predictors based on the characteristics of patients with COVID-19 at hospital admission may help predict the risk of subsequent critical illness. To investigate the effectiveness of an oral health education programme using a mobile app for adults aged 65years or older. Participants aged 65 or older were randomly allocated into non-app use (n=25), app use (n=22) and control (n=26) groups. The non-app use group received lecture-based oral health education using PowerPoint presentations and participated in workbook activities twice a week for five weeks, whereas the app use group underwent oral health education using a smartphone app and workbook activities for five weeks. Before and after the intervention, a questionnaire survey and oral health examination were performed to examine changes in oral health-related indices. The non-app use group showed significant changes, with a 2.1 increase in oral health knowledge score, 0.2 decrease in the O'Leary index and 0.6 decrease in tongue coating. The app use group showed significant changes, with a 3.1 increase in oral health knowledge score, a 2.5 increase in oral health perception, a 0.3 decrease in the O'Leary index and a 1.4 decrease in tongue coating. Repeated-measures ANOVA showed that interaction between time and group was significant only in tongue coating variable. The smartphone app developed in this study carries the possibility to convey informative co