Single center retrospective study on the distribution of pathogens in elderly patients with acute exacerbation of chronic obstructive pulmonary disease

Objective: To explore the distribution and correlation of pathogens in the elderly patients with AECOPD, so as to guide the rational use of antibiotics and hormones in clinic. Methods: A total of 111 patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) admitted to Nanjing First Hospital from January 2019 to January 2020 were retrospectively analyzed. The basic data such as eosinophil, neutrophil and lymphocyte count, the levels of C-reactive protein(CRP) and erythrocyte sedimentation rate (ESR)in blood routine examination were collected. Further, the pathogens were qualified by sputum fluorescence quantitative polymerase chain reaction, and the pathogens distribution was analyzed. Results: The level of ESR and the ratio of cardiovascular diseases showed significant differences between the pathogen-positive group and pathogen-negative group. In this study, the top five pathogens in AECOPD patients were EB virus (21.6%), Haemophilus influenzae (19.8%), Streptococcus pneumoniae (17.1%), herpes simplex virus(14.4%), influenza A virus(14.4%). The detection rate of influenza A virus was correlated with influenza B virus and Aspergillus (P < 0.05);The detection rate of respiratory syncytial virus was correlated with Candida, Moraxella catarrholis, Streptococcus pneumoniae and Haemophilus influenzae (P < 0.05);The detection rate of Escherichia coli was correlated with rhinovirus, adenovirus, Klebsiella pneumoniae and Acinetobacter baumannii (P < 0.05);The detection rate of Candida was correlated with that of Moraxella catarrholis and Pseudomonas aeruginosa(P<0.05);The detection rate of human coronavirus was correlated with Haemophilus influenzae, herpes simplex virus and Streptococcus pneumoniae(P < 0.05). Conclusions: AECOPD are mostly induced by different pathogens, especially mixed infection of bacteria and virus. It is helpful to guide the rational use of antibiotics by analyzing the etiological characteristics in the elderly patients with AECOPD.

Prevalence and influencing factors of anxiety and depression symptoms among the first-line medical staff in Wuhan mobile cabin hospital during the COVID-19 epidemic: A cross-sectional survey.

ABSTRACT: To investigate the prevalence of anxiety and depressive symptoms and the associated risk factors among first-line medical staff in Wuhan during the coronavirus disease 2019 (COVID-19) epidemic.From March 5 to 15, 2020, the Hamilton Anxiety Scale and Hamilton Depression scale were used to investigate the anxiety and depression status of medical staff in Wuhan Cabin Hospital (a Hospital). Two hundred seventy-six questionnaires were received from 96 doctors and 180 nurses, including 79 males and 197 females.During the COVID-19 epidemic, the prevalence rate of anxiety and depression was 27.9% and 18.1%, respectively, among 276 front-line medical staff in Wuhan. The prevalence rate of anxiety and depression among doctors was 19.8% and 11.5%, respectively, and the prevalence rate of anxiety and depression among nurses was 32.2% and 21.7%, respectively. Females recorded higher total scores for anxiety and depression than males, and nurses recorded higher scores for anxiety and depression than doctors.During the COVID-19 epidemic, some first-line medical staff experienced mental health problems such as depression and anxiety. Nurses were more prone to anxiety and depression than doctors. Effective strategies toward to improving the mental health should be provided to first-line medical staff, especially female medical staff and nurses.

Inactivated vaccine injection and immunoglobulin G levels related to severe coronavirus disease 2019 (Delta) pneumonia in Xi'an, China: A single-centered, retrospective, observational study.

The World Health Organization declared a public health emergency of international concern in January 2020. The Delta variant became the main epidemic strain on 11 May 2021. Vaccines were proven highly effective in controlling hospitalization and deaths associated with severe acute respiratory syndrome coronavirus 2 infections. Real data on vaccine efficacy against B.1.617.2 infection in the Chinese population were currently limited. This study aimed to evaluate the protective effect of inactivated vaccine injection and immunoglobulin (Ig) G levels in coronavirus disease 2019 (COVID-19) severity. This retrospective study included patients with COVID-19 in Xi'an Chest Hospital from December 2021 to January 2022. The protective effect of inactivated vaccine injection and IgG levels on COVID-19 severity was analyzed using multiple logistic regressions. A total of 580 patients were included in the study, of whom 158 (27.24%) were mild, 412 (71.03%) were moderate, 5 (0.9%) were severe, and 5 (0.86%) were critical. Severe case (including severe and critical) rates were 1.72% (10/580). Compared with the unvaccinated group, the vac+IgG- group had a 0.21 (0.02-2.05)-fold risk of suffering from severe cases, and the vac+IgG+ group had a 0.05 (0-0.63)-fold risk of suffering from severe cases. Of the 10 severe cases, 8 were older than 60 years, 8 were men, 8 had underlying diseases, 6 were in the unvaccinated group, and 2 were in the vac+IgG- group. Vaccination and sufficient IgG antibody production can protect patients with COVID-19 from severe cases. Booster vaccine injection can produce a stronger immune response and protection.

Effects of First-Time Experiences and Self-Regulation on College Students' Online Learning Motivation: Based on a National Survey during COVID-19

The COVID-19 pandemic has forced many college students in developing countries to engage in online learning for the first time, and the sudden transit has raised concerns regarding students' competencies for, perception of, and attitude towards online learning. To address those concerns, this study measured three essential constructs of online learning (self-regulated learning, perceived presences, and learning motivation) based on a national survey in China (N = 12,826) and employed structural equation modeling to investigate their intertwined relationship. The study results reveal that (1) college students' academic achievement cannot effectively predict their self-regulated learning in an online learning context;(2) self-regulation can be further differentiated into general and task-specific strategies with a varying impact on three types of presences;(3) online learning motivation is best predicted by cognitive presence, followed by social presence and teaching presence;and (4) the path of task-specific self-regulated learning →cognitive presence →online learning motivation generates the largest positive compound effect. Implications for online teaching and learning practice are also discussed through the stakeholder perspectives of students, teachers, and platform developers.

Identification of Cellular Factors Required for SARS-CoV-2 Replication.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the recently emerged virus responsible for the COVID-19 pandemic. Clinical presentation can range from asymptomatic disease and mild respiratory tract infection to severe disease with lung injury, multiorgan failure, and death. SARS-CoV-2 is the third animal coronavirus to emerge in humans in the 21st century, and coronaviruses appear to possess a unique ability to cross borders between species and infect a wide range of organisms. This is somewhat surprising as, except for the requirement of host cell receptors, cell-pathogen interactions are usually species-specific. Insights into these host-virus interactions will provide a deeper understanding of the process of SARS-CoV-2 infection and provide a means for the design and development of antiviral agents. In this study, we describe a complex analysis of SARS-CoV-2 infection using a genome-wide CRISPR-Cas9 knock-out system in HeLa cells overexpressing entry receptor angiotensin-converting enzyme 2 (ACE2). This platform allows for the identification of factors required for viral replication. This study was designed to include a high number of replicates (48 replicates; 16 biological repeats with 3 technical replicates each) to prevent data instability, remove sources of bias, and allow multifactorial bioinformatic analyses in order to study the resulting interaction network. The results obtained provide an interesting insight into the replication mechanisms of SARS-CoV-2.

Analysis of influence factors in the time interval from onset to diagnosis in the early stage of COVID-19 epidemic in Guangzhou

Objective: To investigate the time interval from the onset to the diagnosis of the domestic cases of COVID-19 in Guangzhou, and we analyze the causes of cases with long time intervals.