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Objective:To investigate the incidence of social isolationin community elderly patients with knee osteoarthritis and analyze its influencing factors.Methods:From January to April 2021, 240 community elderly with knee osteoarthritis in three community health service centers in Taiyuan (Yingbin community, Dawang community and Pingyang second community) were selected as research objects by convenient sampling method. They were investigated by general data questionnaire, Lubben Social Network Scale-6(Lubben-6), Geriatric Depression Scale-15, Perceived Social Support Scale, Numerical Rating Scale. Single factor analysis and binary Logistic regression analysis were used to explore the influencing factors of social isolation in elderly patients with knee osteoarthritis.Results:The prevalence of social isolation among community elderly patients with knee osteoarthritis was 43.33% (104/240) . The results of binary logistic regression analysis showed that age ( OR = 2.228, 95% CI 1.436-3.457), complicated diseases ( OR = 1.733, 95% CI 1.028-2.919), exercise ( OR = 0.560, 95% CI 0.360-0.869), depression ( OR = 3.603, 95% CI 1.768-7.339), comprehension of social support ( OR = 0.424, 95% CI 0.253-0.710) and pain ( OR = 1.792, 95% CI 1.147-2.799) were the influencing factors of social isolation in elderly patients with knee osteoarthritis ( P<0.05). Conclusions:The degree of social isolation in community elderly patients with knee osteoarthritis is relatively high, and is affected by many factors. Community medical staff should formulate targeted nursing intervention plans based on their influencing factors to reduce the occurrence of social isolation.
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Coronavirus disease 2019 (COVID-19), which is caused by SARS-CoV-2, varies with regard to symptoms and mortality rates among populations. Humoral immunity plays critical roles in SARS-CoV-2 infection and recovery from COVID-19. However, differences in immune responses and clinical features among COVID-19 patients remain largely unknown. Here, we report a database for COVID-19-specific IgG/IgM immune responses and clinical parameters (COVID-ONE humoral immune). COVID-ONE humoral immunity is based on a dataset that contains the IgG/IgM responses to 21 of 28 known SARS-CoV-2 proteins and 197 spike protein peptides against 2,360 COVID-19 samples collected from 783 patients. In addition, 96 clinical parameters for the 2,360 samples and information for the 783 patients are integrated into the database. Furthermore, COVID-ONE humoral immune provides a dashboard for defining samples and a one-click analysis pipeline for a single group or paired groups. A set of samples of interest is easily defined by adjusting the scale bars of a variety of parameters. After the "START" button is clicked, one can readily obtain a comprehensive analysis report for further interpretation. COVID-ONE-humoral immune is freely available at www.COVID-ONE.cn.
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Coronavirus disease 2019 (COVID-19), which is caused by SARS-CoV-2, varies with regard to symptoms and mortality rates among populations. Humoral immunity plays critical roles in SARS-CoV-2 infection and recovery from COVID-19. However, differences in immune responses and clinical features among COVID-19 patients remain largely unknown. Here, we report a database for COVID-19-specific IgG/IgM immune responses and clinical parameters (COVID-ONE humoral immune). COVID-ONE humoral immunity is based on a dataset that contains the IgG/IgM responses to 21 of 28 known SARS-CoV-2 proteins and 197 spike protein peptides against 2,360 COVID-19 samples collected from 783 patients. In addition, 96 clinical parameters for the 2,360 samples and information for the 783 patients are integrated into the database. Furthermore, COVID-ONE humoral immune provides a dashboard for defining samples and a one-click analysis pipeline for a single group or paired groups. A set of samples of interest is easily defined by adjusting the scale bars of a variety of parameters. After the "START" button is clicked, one can readily obtain a comprehensive analysis report for further interpretation. COVID-ONE-humoral immune is freely available at www.COVID-ONE.cn.
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10 U/ml was determined as positive value.Urinary NMP 22 protein was elevated in 22 cases.Bladder cancer was diagnosed in 11 cases.The sensitivity and specificity of the NMP 22 test were 100%(11/11) and 81%(46/57),respectively.Cystoscopy alone identified 35% of the cancers (4/11).Among 22 cases with elevated NMP 22,1 case was dignosized as bladder cancer during 1 year visit. Conclusions Urine NMP 22 is a new useful marker in early diagnosis of bladder cancer.
