Analysis of clinical characteristics and warning factors in SARS-CoV-2 variants infection

Objective: To investigate the influence of the variation of SARS-CoV-2 on the clinical feature, and to provide early warning signs for the variation of SARS-CoV-2 in clinical work. Methods: From Jan 2, 2021 to Jun 30, 2021, a total of 105 COVID-19 patients were included in the study using a case-control method. Nasal swab samples were collected from the study subjects, the viral genes were sequenced, and patients were divided into Delta variant group and non-Delta variant group according to their gene sequences. Clinically relevant data were collected from the two groups, and indicators such as days of hospitalization, age distribution, lymphocytes, neutrophils, B lymphocytes, NK cells, IL-4, and IL-10 were compared;subgroup analysis was performed based on the number of days of viral negativity in the study subjects as the basis for grouping, and differences in immunological characteristics were compared, including lymphocytes, neutrophils, B lymphocytes, NK cells, IL-4, IL-10, etc. Results: The theoretical hospitalization days of Delta variant group were (22.2..8.33) d, which were significantly longer than (17.6 .. 10.50) d of non-Delta variant group (t = 2.396, P < 0.05). The total lymphocyte count and IL-4 of Delta variant group were (1.22..0.86) ..109/L and (0.80 .. 0.23) ng/mL, which were significantly lower than corresponding (1.91 .. 0.70) ..109/L and (1.59 .. 0.59) ng/mL of non-Delta variant group (t = 4.329, 9.072, P < 0.05), while IL-10 was (7.16 .. 7.77) ng/mL, which was significantly higher than (4.26 .. 3.91) ng/mL of non-Delta mutation group (t = 1.980, P < 0.05). Subgroup analysis showed that the total lymphocyte count and IL-4 concentration in Delta variant group were (1.04 .. 0.60) ..109/L and (0.74 .. 0.25) ng/ml, which were significantly lower than corresponding (1.62..0.56) ..109/L and (1.56 .. 0.52) ng/mL in non-Delta variant group, in patients with delayed discharge (P < 0.05). Conclutions SARS-CoV-2 variant has an impact on clinical manifestations. The patient's B cell count and IL-10 concentration increased or IL-2 and IL-4 concentration decreased within 12 hours of admission indicated variant virus infection. The decrease of total lymphocyte count, especially T lymphocyte reduction, strongly suggests discharge delay due to viral clearance disorder.

A thematic analysis of shared experiences of essential health and support personnel in the COVID-19 pandemic.

AIMS AND OBJECTIVES: Studies have shown that the COVID-19 pandemic has taken a toll on individuals who interact with patients with SARS-CoV-2 but focused largely on clinicians in acute care settings. This qualitative descriptive study aimed to understand the experiences and well-being of essential workers across settings during the pandemic. BACKGROUND: Multiple studies of the well-being of individuals who have cared for patients during the pandemic have included interviews of clinicians from acute care settings and revealed high levels of stress. However, other essential workers have not been included in most of those studies, yet they may also experience stress. METHODS: Individuals who participated in an online study of anxiety, depression, traumatic distress, and insomnia, were invited to provide a free-text comment if they had anything to add. A total of 2,762 essential workers (e.g., nurses, physicians, chaplains, respiratory therapists, emergency medical technicians, housekeeping, and food service staff, etc.) participated in the study with 1,079 (39%) providing text responses. Thematic analysis was used to analyze those responses. RESULTS: Four themes with eight sub-themes were: Facing hopelessness, yet looking for hope; Witnessing frequent death; Experiencing disillusionment and disruption within the healthcare system, and Escalating emotional and physical health problems. CONCLUSIONS: The study revealed major psychological and physical stress among essential workers. Understanding highly stressful experiences during the pandemic is essential to identify strategies that ameliorate stress and prevent its negative consequences. This study adds to the research on the psychological and physical impact of the pandemic on workers, including non-clinical support personnel often overlooked as experiencing major negative effects. RELEVANCE TO CLINICAL PRACTICE: The magnitude of stress among all levels of essential workers suggests the need to develop strategies to prevent or alleviate stress across disciplines and all categories of workers.

[Information Strategies in Indigenous Communities During the COVID-19 Pandemic].

The COVID-19 pandemic has had an unprecedented impact on society, especially in densely populated areas. Schools have implemented distance learning, which has spawned many related problems. This paper focuses on the difficulties arising from the epidemic in indigenous communities and how appropriate information strategies may be used to solve these. Four main suggestions are provided to assist indigenous students and their teachers to protect themselves and learn during the pandemic and to ensure that educational goals are achieved.

Optimal control strategies of SARS-CoV-2 Omicron supported by invasive and dynamic models.

BACKGROUND: There is a raising concern of a higher infectious Omicron BA.2 variant and the latest BA.4, BA.5 variant, made it more difficult in the mitigation process against COVID-19 pandemic. Our study aimed to find optimal control strategies by transmission of dynamic model from novel invasion theory. METHODS: Based on the public data sources from January 31 to May 31, 2022, in four cities (Nanjing, Shanghai, Shenzhen and Suzhou) of China. We segmented the theoretical curves into five phases based on the concept of biological invasion. Then, a spatial autocorrelation analysis was carried out by detecting the clustering of the studied areas. After that, we choose a mathematical model of COVID-19 based on system dynamics methodology to simulate numerous intervention measures scenarios. Finally, we have used publicly available migration data to calculate spillover risk. RESULTS: Epidemics in Shanghai and Shenzhen has gone through the entire invasion phases, whereas Nanjing and Suzhou were all ended in the establishment phase. The results indicated that Rt value and public health and social measures (PHSM)-index of the epidemics were a negative correlation in all cities, except Shenzhen. The intervention has come into effect in different phases of invasion in all studied cities. Until the May 31, most of the spillover risk in Shanghai remained above the spillover risk threshold (18.81-303.84) and the actual number of the spillovers (0.94-74.98) was also increasing along with the time. Shenzhen reported Omicron cases that was only above the spillover risk threshold (17.92) at the phase of outbreak, consistent with an actual partial spillover. In Nanjing and Suzhou, the actual number of reported cases did not exceed the spillover alert value. CONCLUSIONS: Biological invasion is positioned to contribute substantively to understanding the drivers and mechanisms of the COVID-19 spread and outbreaks. After evaluating the spillover risk of cities at each invasion phase, we found the dynamic zero-COVID strategy implemented in four cities successfully curb the disease epidemic peak of the Omicron variant, which was highly correlated to the way to perform public health and social measures in the early phases right after the invasion of the virus.

A Year in the Life of U.S. Frontline Health Care Workers: Impact of COVID-19 on Weight Change, Physical Activity, Lifestyle Habits, and Psychological Factors.

Healthcare workers (HCWs) experienced significantly higher burdens and life demands due to the COVID-19 pandemic. This study sought to assess the longitudinal effects among HCWs throughout the pandemic. Qualtrics surveys collected self-reported data on weight changes, eating patterns, physical activity (PA), and psychological factors with data organized by timepoints prior to the pandemic (PP0-prior to March 2020), baseline (M0-January 2021), month 6 (M6-July 2021), and month 12 (M12-January 2022). Eating patterns were negatively impacted at the M0, with reported increases in snacking/grazing (69.7%), fast food/take-out consumption (57.8%), and alcohol (48.8%). However, by M6 and M12 there were no statistically significant differences in eating patterns, suggesting that eating patterns normalized over time. Mean weight increased from PP0 to M0 by 2.99 pounds (p < 0.001, n = 226) and from PP0 to M6 by 2.12 pounds (p < 0.027, n = 146), though the difference in mean weight from PP0 to M12 was not statistically significant (n = 122). PA counts decreased from 8.00 sessions per week PP0 to 6.80 by M0 (p = 0.005) before jumping to 12.00 at M6 (p < 0.001) and 10.67 at M12 (p < 0.001). Psychological factors comparing M0 to M12 found statistically significant differences for depression (p-value = 0.018) and anxiety (p-value = 0.001), meaning depression and anxiety were initially increased but improved by M12. Additionally, higher scores on depression and insomnia scales were associated with lower PA levels. These overall results imply that the COVID-19 pandemic had immediate effects on the eating patterns, weight changes, PA, and psychological factors of HCWs; however, routines and lifestyle habits appeared to have normalized one year later.

Resting-State EEG Signal for Major Depressive Disorder Detection: A Systematic Validation on a Large and Diverse Dataset.

Major depressive disorder (MDD) is a global healthcare issue and one of the leading causes of disability. Machine learning combined with non-invasive electroencephalography (EEG) has recently been shown to have the potential to diagnose MDD. However, most of these studies analyzed small samples of participants recruited from a single source, raising serious concerns about the generalizability of these results in clinical practice. Thus, it has become critical to re-evaluate the efficacy of various common EEG features for MDD detection across large and diverse datasets. To address this issue, we collected resting-state EEG data from 400 participants across four medical centers and tested classification performance of four common EEG features: band power (BP), coherence, Higuchi's fractal dimension, and Katz's fractal dimension. Then, a sequential backward selection (SBS) method was used to determine the optimal subset. To overcome the large data variability due to an increased data size and multi-site EEG recordings, we introduced the conformal kernel (CK) transformation to further improve the MDD as compared with the healthy control (HC) classification performance of support vector machine (SVM). The results show that (1) coherence features account for 98% of the optimal feature subset; (2) the CK-SVM outperforms other classifiers such as K-nearest neighbors (K-NN), linear discriminant analysis (LDA), and SVM; (3) the combination of the optimal feature subset and CK-SVM achieves a high five-fold cross-validation accuracy of 91.07% on the training set (140 MDD and 140 HC) and 84.16% on the independent test set (60 MDD and 60 HC). The current results suggest that the coherence-based connectivity is a more reliable feature for achieving high and generalizable MDD detection performance in real-life clinical practice.

ECG Utilization Patterns of Patients With Arrhythmias During COVID-19 Epidemic and Post-SARS-CoV-2 Eras in Shanghai, China.

Background: The COVID-19 pandemic has led to concerns around its subsequent impact on global health. Objective: To investigate the health-seeking behavior, reflected by ECG utilization patterns, of patients with non-COVID-19 diseases during and after COVID-19 epidemic. Methods: Taking advantage of the remote ECG system covering 278 medical institutions throughout Shanghai, the numbers of medical visits with ECG examinations during the lockdown (between January 23 and April 7, 2020), post-lockdown (between April 8 and December 31, 2020) and post-SARS-CoV-2 (between January 23 and April 7, 2021) periods were analyzed and compared against those during the same periods of the preceding years (2018 and 2019). Results: Compared with the same period during pre-COVID years, the number of medical visits decreased during the lockdown (a 38% reduction), followed by a rebound post-lockdown (a 17% increase) and a fall to the baseline level in post-SARS-CoV-2 period. The number of new COVID-19 cases announced on a given day significantly correlated negatively with the numbers of medical visits during the following 7 days. Medical visit dynamics differed for various arrhythmias. Whereas medical visits for sinus bradycardia exhibited a typical decrease-rebound-fallback pattern, medical visits for atrial fibrillation did not fall during the lockdown but did exhibit a subsequent increase during the post-lockdown period. By comparison, the volume for ventricular tachycardia remained constant throughout this entire period. Conclusion: The ECG utilization patterns of patients with arrhythmias exhibited a decrease-rebound-fallback pattern following the COVID-19 lockdowns. Medical visits for diseases with more severe symptoms were less influenced by the lockdowns, showing a resilient demand for healthcare.

Clinical features of patients with breakthrough infection after getting different kinds of vaccines against COVID-19

Objective: To compare the clinical features of patients with breakthrough infection after getting different kinds of COVID-19 vaccines, in order to provide reference for clinical diagnosis and treatment of such patients.

Epidemiology, management, and outcomes of atrial fibrillation among 30 million citizens in Shanghai, China from 2015 to 2020: A medical insurance database study.

Background: Atrial fibrillation(AF) has become a significant public health concern in China, with population aging and urbanization. Methods: Data screening was performed for 30,244,930 subjects with medical insurance in the Shanghai Municipal Health Commission database between 2015 and 2020. Patients diagnosed with AF were identified and further assessed for treatment information and clinical outcomes, as well as sex differences and impact of COVID-19 pandemic on AF managment. Findings: AF prevalence was 0.88% in Shanghai, which increased with age and reached 6.70% at subjects 80 years and over. AF was more prevalent in women compared with men (0.89% vs. 0.88%, p<0.0001), which could be attributed to higher AF burden in women over 80 years. Driven by increased prescription of non-vitamin K antagonist oral anticoagulants, anticoagulant use increased from 19.46% in 2015 to 56.57% in 2020. The number of left atrial appendage closure increased from 0.16% in 2015 to 1.23% in 2020. Rhythm control strategy was increasingly adopted, as the use of antiarrhythmic drugs doubled and ablation increased by 21% in 2020 compared to 2015. Compared with men, women were less prone to receive rhythm control treatments, including antiarrhythmics, ablation and cardioversion, but more likely to adopt rate control drugs. During the 5.5 years follow-up, the incidences of stroke, transient ischemic attack, systemic embolism, bleeding, myocardial infarction, and in-hospital death were 6.09%, 5.74%, 1.44%, 5.11%, 8.41%, and 12.84% in patients with index diagnosis of AF in 2015, respectively. Interpretation: The burdens of AF and AF-related outcomes in Shanghai are high. Management of AF is markedly improved in recent years, and was not or only slightly impeded by the COVID-19 pandemic. There are sex differences in the prevalence, management, and outcomes of AF. Funding: Shanghai Hospital Development Center, National Natural Science Foundation of China and Shanghai Municipal Science and Technology Commission.

Follow-up study of 134 patients diagnosed with COVID-19 in Guangzhou one year after discharge

Objective: To retrospectively analyze the follow-up data of 134 patients diagnosed with COVID-19 in Guangzhou one year after they were discharged from the hospital and summarize their characteristics, and we provide a basis for further evaluation of long-term efficacy of COVID-19 patients.

Dynamic changes of pulmonary diffusion capacity in survivors of non-critical COVID-19 during the first six months.

BACKGROUND: The dynamic trends of pulmonary function in coronavirus disease 2019 (COVID-19) survivors since discharge have been rarely described. We aimed to describe the changes of lung function and identify risk factors for impaired diffusion capacity. METHODS: Non-critical COVID-19 patients admitted to the Guangzhou Eighth People's Hospital, China, were enrolled from March to June 2020. Subjects were prospectively followed up with pulmonary function tests at discharge, three and six months after discharge. FINDINGS: Eighty-six patients completed diffusion capacity tests at three timepoints. The mean diffusion capacity for carbon monoxide (DLCO)% pred was 79.8% at discharge and significantly improved to 84.9% at Month-3. The transfer coefficient of the lung for carbon monoxide (KCO)% pred significantly increased from 91.7% at discharge to 95.7% at Month-3. Both of them showed no further improvement at Month-6. The change rates of DLCO% pred and KCO% pred were significantly higher in 0-3 months than in 3-6 months. The alveolar ventilation (VA) improved continuously during the follow-ups. At Month-6, impaired DLCO% pred was associated with being female (OR 5.2 [1.7-15.8]; p = 0.004) and peak total lesion score (TLS) of chest CT > 8.5 (OR 6.6 [1.7-26.5]; p = 0.007). DLCO% pred and KCO% pred were worse in females at discharge. And in patients with impaired diffusion capacity, females' DLCO% pred recovered slower than males. INTERPRETATION: The first three months is the critical recovery period for diffusion capacity. The impaired diffusion capacity was more severe and recovered slower in females than in males. Early pulmonary rehabilitation and individualized interventions for recovery are worthy of further investigations.

Low-voltage driven Ag-Co3O4 textile device for multifunctional air cleaning

Human exposure risks to airborne pollutants, bacteria and viruses in confined spaces have attracted tremendous attention. It is a challenge to degrade these harmful materials over a single device by electrical method other than conventional thermal method. We fabricated an air cleaning device based on a conductive Ag-Co3O4 coating with Ag nanoparticles on a glass fibre cloth (GFC). The device possessed good flexibility and high permeability of the GFC. Powered by low-voltages (< 20 V), the device exhibited a 3-fold formaldehyde conversion in its conventional thermal counterpart, and energy savings of > 90% were achieved. The electrically treated device completely killed Escherichia coli and Staphylococcus aureus and SARS-CoV-2 pseudovirus within a few minutes at a low surface temperature of < 50 °C. The excellent efficiency of the devices was attributed to the confinement of electric power to the coating. The device can serve as a flexible filter for air cleaners or conditioners to ensure that human health is maintained amid the pandemic.

The New Thinking and Micro-Political Strategy of Principal in Leadership of the Post-Epidemic Era

The World Health Organization (WHO) has regarded COVID-19 (coronavirus) as a serious pandemic because the virus has now spread to many countries and regions, and calls on all countries to deal with the treacherous new coronavirus (COVID- 19) Epidemics of infectious diseases. Firstly, many experts suggest that we should be prepared for a long-term war of resistance and advance deployment, promote the new life movement for epidemic prevention, social distancing has become the highest code of conduct, and all forms of group activities should be re-regulated. Secondly, in the face of the novel coronavirus (COVID-19) infectious disease epidemic, the school, the most important educational field since human civilization, has been particularly affected. The promotion of teaching and the epidemic prevention campaign have become familiar to the school leaders' confusion and anxiety. Thirdly, according to many reports at home and abroad, the future development of the epidemic may evolve into a chaotic normal order. The principal should respond to the postepidemic era, and should have crisis management capabilities, and be able to thoroughly understand the essence of chaos theory and master macro-politics. The global world environment is pulsating, and the strategy of micro-politics is used precisely. Finally, this article comprehensively explores and analyzes the new thinking and micro-political strategies of principal in leadership of the post-epidemic era, and proposes three directions:1. The new thinking of principal in leadership of the post-epidemic era. 2. The principal's micro-political strategy in the post-epidemic era. 3. Thinking and Strategies of School Management for Principals in Post-epidemic Era. Provide reference for school operation and management in the post-epidemic era.

Pulmonary function of 47 patients with COVID-19 in recovery period in Guangzhou

Objective: To explore and understand the injury degree of human lung induced by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), through retrospectively analysis of the 47 patients' pulmonary function in the period of recovery from COVID-19.

Reducing the consumption of personal protective equipment by setting up a multifunctional sampling station in the emergency department to screen for COVID-19 infection in Taiwan.

In Taiwan, high-risk patients have been identified and tested for preventing community spread of COVID-19. Most sample collection was performed in emergency departments (EDs). Traditional sample collection requires substantial personal protective equipment (PPE), healthcare professionals, sanitation workers, and isolation space. To solve this problem, we established a multifunctional sample collection station (MSCS) for COVID-19 testing in front of our ED. The station is composed of a thick and clear acrylic board (2 cm), which completely separates the patient and medical personnel. Three pairs of gloves (length, 45 cm) are attached and fixed on the outside wall of the MSCS. The gloves are used to conduct sampling of throat/nasal swabs, sputum, and blood from patients. The gap between the board and the building is only 0.2 cm (sealed with silicone sealant). ED personnel communicate with patients using a small two-way broadcast system. Medical waste is put in specific trashcans installed in the table outside the MSCS. With full physical protection, the personnel conducting the sampling procedure need to wear only their N95 mask and gloves. After we activated the station, our PPE, sampling time, and sanitization resources were considerably conserved during the 4-week observation period. The MSCS obviously saved time and PPE. It elevated the efficiency and capacity of the ED for handling potential community infections of COVID-19.