Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 20 de 45
Filter
Add filters

Document Type
Year range
1.
Systems Research and Behavioral Science ; : 13, 2022.
Article in English | Web of Science | ID: covidwho-1611356

ABSTRACT

Since the worldwide outbreak of the COVID-19 pandemic in December 2019, Taiwan has successfully stopped the spread of COVID-19. The policies and works of the epidemic control are a complex and dynamic process. This study applied the methodology of system dynamics to explore the structure of the COVID-19 epidemic control system in Taiwan and analysed its system behaviours. The results show that the system is composed of key subsystems, such as national health insurance and quarantine, combined with government policies. Joint efforts among the central and local governments and the general public have been made to strengthen the quarantine of border entrants, encourage the public to wear masks and employ technology for contact tracing and tracking down those being tested positive with COVID-19. Together with the efficient increase in the capacity of testing and medical treatments, these measures can effectively reach a balance between epidemic control and economic activities.

2.
Gastroenterology ; 160(6):S-335, 2021.
Article in English | EMBASE | ID: covidwho-1597949

ABSTRACT

Background: During The Covid-19 Pandemic, The General Population Has Been Subject To Heightened Stress, Anxiety, Depression, And Fear Of The Virus. However, The Impact Of Covid-19 On These Psychometric Factors Have Not Been Formally Assessed In Patients With Inflammatory Bowel Disease (Ibd), Specifically Those On Biologic Therapies. The Aim Of This Study Was To Examine The Relationship Between Fear Of Covid-19 And Biologic Usage In Ibd Patients. Methods: Adult Ibd And Non-Ibd Patients Were Recruited From An Academic Clinic And Via Social Media Outlets. Patients Were Administered A Qualtrics Survey Assessing Demographics Disease Characteristics, And Perceptions Around Covid-19. The Validated Fear Of Covid-19 Scale (Fcv-19s), Perceived Stress Scale (Pss), And Hospital Anxiety And Depression Scale (Hads) Were Used To Assess Fear Of Covid-19, Stress, Anxiety And Depression, Respectively. Analyses Evaluated The Associations Between These Psychological Experiences, Ibd Diagnosis, And Medication Usage. Results: There Were 399 Participants (17% Crohn’S Disease;43% Ulcerative Colitis;4% Ibd-Unclassified;36% Non-Ibd). Ibd Participants Had Higher Levels Of Stress (P<.01), Anxiety (P<.01), Depression (P<.01), And Fear Of Covid-19 (P<.01) Compared With Non-Ibd Participants. When Asked About Perceived Likelihood Of Contracting Covid-19, Ibd Participants More Often Responded With A “High” Or “Extreme” Likelihood (26.3% Vs. 9.1%;P<.01). Among The Risk Perception Screening Domains, 77.9% And 45.9% Of Ibd Participants On Biologics Responded “Very” Or “Extremely” Affirmatively To Questions Related To Perceived Level Of Precaution Needed To Avoid Contracting Covid-19 And Perceived Severity Of Infection If Contracted, Respectively. Additionally, 41.5% Of Ibd Participants On Biologics Were More Likely To Report Feeling That Their Ibd Medications Made Them “Extremely” Or “Very” Vulnerable, Compared With Only 20.3% Of Ibd Participants Not On Biologic Therapy. Use Of Biologic Therapy Was Associated With Higher Levels Of Stress (P=.011), Anxiety (P<.01), And Fear Of Covid-19 (P<.01). Due To Concerns Of Covid-19, 5.6% Decided To Defer Starting Biologic Treatment, While 2.0% Decided To Discontinue Biologic Medication. Conclusion: This Study Is One Of The First To Evaluate The Mental Health Of Ibd Patients During The Covid-19 Pandemic And Uniquely Evaluates Psychological Variables As They Relate To Biologic Usage. Fear Of Covid-19, Anxiety, And Perceived Stress Were Strongly Correlated With Biologic Usage In Ibd Patients, Suggesting That Participants Using Biologic Therapy Felt More Susceptible To Infection. Furthermore, These Findings Have Implications On Patient Adherence To Immunosuppressive Medications During The Covid-19 Pandemic, Which Should Be Considered During Therapy-Related Discussions Between Physicians And Ibd Patients (Table Presented)

3.
CALICO Journal ; 39(1), 2022.
Article in English | Scopus | ID: covidwho-1593360

ABSTRACT

With the outbreak of COVID-19 in 2020, many universities shifted to online teaching. However, some online instruction had already been implemented well before the pandemic. This study investigates (1) how engagement in blended CALL activities differed during the pandemic, and (2) in what ways the assessment outcomes were associated with student engagement during the pandemic. The study was conducted in an English for academic purposes (EAP) course at a Hong Kong university that had already implemented blended learning for several years. Adopting an analytics-based approach, 469,286 data logs in a learning management system were analyzed to measure students’ engagement and their respective self-directed behavior. The retrieved student data covered the time both before and during the pandemic. Our findings reveal that students were primarily engaged for assessment purposes;however, those in the pandemic cohort demonstrated better self-directed behavior, such as early and regular engagement. Although the results indicated a relatively strong association between student engagement and course outcomes, the students during the pandemic seem to have managed their learning more effectively. © 2022, equinox publishing.

4.
J Immunotoxicol ; 18(1): 23-29, 2021 12.
Article in English | MEDLINE | ID: covidwho-1593522

ABSTRACT

The coronavirus SARS-CoV-2 of 2019 (COVID-19) causes a pandemic that has been diagnosed in more than 70 million people worldwide. Mild-to-moderate COVID-19 symptoms include coughing, fever, myalgia, shortness of breath, and acute inflammatory lung injury (ALI). In contrast, acute respiratory distress syndrome (ARDS) and respiratory failure occur in patients diagnosed with severe COVID-19. ARDS is mediated, at least in part, by a dysregulated inflammatory response due to excessive levels of circulating cytokines, a condition known as the "cytokine-storm syndrome." Currently, there are FDA-approved therapies that attenuate the dysregulated inflammation that occurs in COVID-19 patients, such as dexamethasone or other corticosteroids and IL-6 inhibitors, including sarilumab, tocilizumab, and siltuximab. However, the efficacy of these treatments have been shown to be inconsistent. Compounds that activate the vagus nerve-mediated cholinergic anti-inflammatory reflex, such as the α7 nicotinic acetylcholine receptor agonist, GTS-21, attenuate ARDS/inflammatory lung injury by decreasing the extracellular levels of high mobility group box-1 (HMGB1) in the airways and the circulation. It is possible that HMGB1 may be an important mediator of the "cytokine-storm syndrome." Notably, high plasma levels of HMGB1 have been reported in patients diagnosed with severe COVID-19, and there is a significant negative correlation between HMGB1 plasma levels and clinical outcomes. Nicotine can activate the cholinergic anti-inflammatory reflex, which attenuates the up-regulation and the excessive release of pro-inflammatory cytokines/chemokines. Therefore, we hypothesize that low molecular weight compounds that activate the cholinergic anti-inflammatory reflex, such as nicotine or GTS-21, may represent a potential therapeutic approach to attenuate the dysregulated inflammatory responses in patients with severe COVID-19.


Subject(s)
Benzylidene Compounds/pharmacology , COVID-19/drug therapy , Cholinergic Agents/pharmacology , Inflammation/drug therapy , Nicotine/metabolism , Pyridines/pharmacology , SARS-CoV-2/physiology , Tobacco Use Disorder/drug therapy , Antibodies, Monoclonal, Humanized/therapeutic use , Cigarette Smoking/adverse effects , Dexamethasone/therapeutic use , HMGB1 Protein/blood , Humans , Pandemics , alpha7 Nicotinic Acetylcholine Receptor/agonists
5.
Blood ; 138:3144, 2021.
Article in English | EMBASE | ID: covidwho-1582182

ABSTRACT

Plant-based flavonoids have been examined as inhibitors of β-coronavirus replication and as potential therapeutics for COVID19 based on their safety profile and widespread availability. SARS-CoV-2 viral replication is dependent on a cysteine protease known as 3CL protease, or main protease (Mpro), which cleaves the polyprotein translated from SARS-CoV-2 ssRNA into 11 functional proteins. This protease is highly conserved among β-coronaviruses and is intolerant of mutation. The main protein (Mpro) of SARS-CoV, SARS-CoV-2, and MERS has been identified as a target of flavonoids both by in silico and in vitro approaches. We have previously showed that select flavonoids inhibit protein disulfide isomerase (PDI), which is essential for normal thrombosis. These flavonoid PDI inhibitors block thrombus formation in vivo and have shown efficacy as antithrombotics in clinical studies. Given the substantial morbidity and mortality caused by COVID19-associated coagulopathy, we sought to identify a flavonoid that inhibits both SARS-CoV-2 Mpro and PDI, potentially blocking both viral replication and thrombus formation. While in silico studies identified many flavonoids as SARS-CoV-2 main protein (Mpro) inhibitors, no comprehensive in vitro testing of flavonoids against SARS-CoV-2 has previously been performed. We therefore evaluated 1,020 diverse flavonoids using high throughput screening for their ability to inhibit SARS-CoV-2 Mpro in a fluorescence-based Mpro substrate cleavage assay. This analysis identified four new flavonoid inhibitors of Mpro that had IC 50s ranging from 5-15 µM: amentoflavone, 3,8'-biapigenin, jaceidin triacetate, and pinocembrin 7-O-(3“-galloyl-4”,6“-(S)-hexahydroxydiphenoyl)-beta-D-glucose (PGHG). These compounds were equally or more potent than previously identified flavonoid inhibitors of SARS-CoV-2 Mpro, baicalein and myricetin. Structure activity relationships identified apigenin as an additional Mpro inhibitor. In a Vero-E6-based assay of SARS-CoV-2 replication, PGHG inhibited with an IC 50 = 4.9 µM. At 50 µM, apigenin showed 94±2.1% inhibition and baicalein 65±8.0% inhibition, while myricetin, amentoflavone, and 3,8'-biapigenin did not inhibit viral replication. Jaceidin triacetate was too toxic for further analysis. We next evaluated novel Mpro inhibitors for their ability to inhibit PDI. The most potent PDI inhibitor was PGHG, which blocked PDI reductase activity in an insulin turbidimetric assay with an IC 50 = 3.99±1.14 µM and in a di-eosin-GSSG assay with an IC 50 = 1.50±0.60 µM. When tested against isolated fragments of PDI, PGHG inhibited isolated a and a' fragments as well as ab, b'xa' and abb'x fragments, indicating that it acts on the a and a' domains of PDI. Since PDI is essential for thrombosis, we evaluated whether PGHG blocks platelet accumulation and fibrin formation following vascular injury. We infused mice with 25 mg/kg PGHG or vehicle and subsequently induced thrombus formation via laser-induced injury of an arteriole within the cremaster circulation. Infusion of PGHG resulted in a 82±6.2% inhibition of platelet accumulation and a 79±3.7% inhibition of fibrin formation. In contrast 25 mg/kg had no significant effect on tail bleeding in mice compared to vehicle control. Targeted therapies remain an important component of the armamentarium against COVID19. Our results show that a naturally occurring flavonoid, PGHG, found in Penthorum chinense Pursh, inhibits both SARS-CoV-2 replication and thrombosis without enhancing bleeding. This observation provides proof-of-principle for the development of plant-based flavonoid therapies for inhibition of β-coronaviruses and supports the further evaluation of PGHG for therapeutic use in COVID19. [Formula presented] Disclosures: No relevant conflicts of interest to declare.

6.
Chinese Journal of Emergency Medicine ; 30(10):1220-1228, 2021.
Article in Chinese | Scopus | ID: covidwho-1576023

ABSTRACT

Objective To summarize the clinical characteristics of patients with coronavirus disease 2019 (COVID-19) infected with Delta variant, so as to provide further references for clinical diagnosis and treatment. Methods A real-world study was conducted to analyze the characteristics of 166 COVID-19 patients infected with Delta variant at Guangzhou Eighth People’s Hospital, Guangzhou Medical University. Results The study enrolled 5 asymptomatic cases, 123 non-severe cases (mild and moderate type), and 38 severe cases (severe and critical type). Among these patients, 69 (41.6%) were male and 97 (58.4%) were female, with a mean age of 47.0±23.5 years. Thirty-nine cases (23.5%) had received 1 or 2 doses of inactivated vaccine. The incidence of severe COVID-19 cases was 7.7% in 2-doses vaccinated patients, which was lower than that of 11.5% in 1-dose and 26.8% in unvaccinated patients. The proportion of severe cases in 2 dose-vaccinated patients was 7.7%, which was lower than that of 11.5% in 1-dose vaccinated patients and 26.8% in unvaccinated patients, but the difference was not significant (P>0.05). The most common clinical symptom was fever (134 cases, 83.2%), and 39.1% of cases presented with high-grade fever (≥ 39 °C);other symptoms were cough, sputum, fatigue, and xerostomia. The proportion of fever in severe cases was significantly higher than that of non-severe cases (97.4% vs. 76.4%, P<0.01). Similarly, the proportion of severe cases with high peak temperature (≥ 39 ℃) () was also higher than that of non-severe cases (65.8% vs. 30.9%, P<0.01). The median minimal Cycle threshold (Ct) values of viral nucleic acid N gene and ORFlab gene were 20.3 and 21.5, respectively, and the minimum Ct values were 11.9 and 13.5, respectively. Within 48 h of admission, 9.0% of cases presented with decreased white blood cell counts, and 52.4% with decreased lymphocyte counts. The proportions of increased C-reactive protein, serum amyloid A, interleukin 6, and interleukin 10 were 32.5%, 57.4%, 65.3%, and 35.7%, respectively. The proportions of elevated C-reactive protein, serum amyloid A and interleukin-6 in severe cases were significantly higher than those in non-severe cases (P<0.01). Logistic regression analysis showed that older age and higher peak temperature were associated with a higher likelihood of severe cases (OR>3, 95% CI: 2-7, P<0.01). In terms of treatment, traditional Chinese medicine (TCM) was used in 97.6% of non-severe cases and 100% in severe cases. Other treatments included respiratory and nutritional support, immunotherapy (such as neutralizing antibodies and plasma of recovered patients). The median times from admission to progression to severe cases, of fever clearance, and of nucleic acid conversion were 5 days, 6 days and 19 days, respectively. No deaths were reported within 28 days. Conclusions The symptoms of Delta variant infection in Guangzhou are characterized by a high proportion of fever, high peak temperature, long duration of fever, high viral load, a long time to nucleic acid conversion, and a high incidence of severe cases. The severe cases exhibit a higher percentage of elderly patients, a longer duration of fever and have a higher fever rate and a higher hyperthermia rate than non-severe cases. Age and hyperthermia are independent risk factors for progression to severe disease. The combination of TCM and Western medicine can control the progression of the disease effectively. © 2021 Chinese Medical Association. All rights reserved.

7.
British Food Journal ; 2021.
Article in English | Scopus | ID: covidwho-1566116

ABSTRACT

Purpose: The study aims to analyze guest comments on the Uber Eats food delivery app (FDA) in the USA during the April–June 2020 COVID-19 pandemic lockdown period. Three aspects influencing customer satisfaction with the FDA were evaluated in this study: (1) performance on the app, (2) product quality and (3) service quality. Design/methodology/approach: One thousand customer comments posted on the Uber Eats Google Play app from April 1 to June 30, 2020 were analyzed in this study. The text mining technique was applied to discover the hidden, but meaningful patterns from the unstructured text. Content analysis was applied to systematically analyze the text into organized categories and themes. Findings: Among the three dimensions evaluated in this study, the most important dimension regarding customers' perceptions toward the FDA was the service quality dimension (40.02%), followed by the FDA's performance dimension (39.43%) and the product quality dimension (20.54%) was least important. Additionally, customers' perceptions towards the three dimensions were all unfavorable and there were more negative comments than the positive comments: FDAs (P/N = 0.728), product quality (P/N = 0.60) and service quality (P/N = 0.865). Originality/value: Previous studies investigating FDAs assessed solely the performance of the app. However, customers' experience of a food delivery service is comprised of multiple components including the app, the restaurant and the delivery driver. To fill the void, this study evaluated a third-party app performance, product quality and service quality to capture the totality of customers' food delivery service experience. © 2021, Emerald Publishing Limited.

8.
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ; : 1050-1054, 2021.
Article in English | Web of Science | ID: covidwho-1532676

ABSTRACT

Coronavirus Disease 2019 (COVID-19) has rapidly spread in 2020, emerging a mass of studies for lung infection segmentation from CT images. Though many methods have been proposed for this issue, it is a challenging task because of infections of various size appearing in different lobe zones. To tackle these issues, we propose a Graph-based Pyramid Global Context Reasoning (Graph-PGCR) module, which is capable of modeling long-range dependencies among disjoint infections as well as adapt size variation. We first incorporate graph convolution to exploit long-term contextual information from multiple lobe zones. Different from previous average pooling or maximum object probability, we propose a saliency-aware projection mechanism to pick up infection-related pixels as a set of graph nodes. After graph reasoning, the relation-aware features are reversed back to the original coordinate space for the down-stream tasks. We further construct multiple graphs with different sampling rates to handle the size variation problem. To this end, distinct multi-scale long-range contextual patterns can be captured. Our Graph-PGCR module is plug-and-play, which can be integrated into any architecture to improve its performance. Experiments demonstrated that the proposed method consistently boost the performance of state-of-the-art backbone architectures on both of public and our private COVID-19 datasets.

9.
International Journal of Intelligent Computing and Cybernetics ; 2021.
Article in English | Scopus | ID: covidwho-1511157

ABSTRACT

Purpose: In the new era of highly developed Internet information, the prediction of the development trend of network public opinion has a very important reference significance for monitoring and control of public opinion by relevant government departments. Design/methodology/approach: Aiming at the complex and nonlinear characteristics of the network public opinion, considering the accuracy and stability of the applicable model, a network public opinion prediction model based on the bald eagle algorithm optimized radial basis function neural network (BES-RBF) is proposed. Empirical research is conducted with Baidu indexes such as “COVID-19”, “Winter Olympic Games”, “The 100th Anniversary of the Founding of the Party” and “Aerospace” as samples of network public opinion. Findings: The experimental results show that the model proposed in this paper can better describe the development trend of different network public opinion information, has good stability in predictive performance and can provide a good decision-making reference for government public opinion control departments. Originality/value: A method for optimizing the central value, weight, width and other parameters of the radial basis function neural network with the bald eagle algorithm is given, and it is applied to network public opinion trend prediction. The example verifies that the prediction algorithm has higher accuracy and better stability. © 2021, Emerald Publishing Limited.

10.
International Eye Science ; 21(11):2008-2011, 2021.
Article in Chinese | EMBASE | ID: covidwho-1502569

ABSTRACT

AIM: To analyze the clinical efficacy of neonatal dacryocystitis treated by the lacrimal passage probing (LPB) in ambulatory surgery mode during the prevalence of the COVID-19, and to provide a theoretical basis for the development and promotion of daytime operation mode of LPB in neonatal dacryocystitis. METHODS: The information of 215 cases with neonatal dacryocystitis treated by LPB with ambulatory surgery mode was analyzed retrospectively, including the cure rate, the incidence of complications and adverse reactions, as well as the reasons for not arriving at the hospital after appointment. RESULTS: All patients accomplish LPB surgery and daytime operation management successfully. The success rate of LPB for neonatal dacryocystitis with ambulatory surgery mode was 99.6%, with few postoperative complications and adverse reactions. The reason why the children did not arrive at the hospital after appointment was mainly due to the sickness being catching a cold, pneumonia, diarrhea and other diseases, otherwise, they had to cancel or postponed the appointment. CONCLUSION: In the course of the prevalence of the COVID-19, LPB in the treatment of neonatal dacryocystitis in ambulatory surgery mode is safe, effective and feasible. It can reduce hospitalization expenses, shorten hospitalization time, and is more conducive to the prevention and control of COVID-19, which is worthy of popularization and application.

11.
21st International Conference on Solid-State Sensors, Actuators and Microsystems (Transducers) ; : 381-384, 2021.
Article in English | Web of Science | ID: covidwho-1501343

ABSTRACT

We develop a sensing method based on the double-coffee ring phenomenon for the first time using localized surface plasmon resonance (LSPR) effect in gold nanoparticles (GNPs) to detect SARS-CoV-2 Nucleocapsid proteins with high sensitivity. Testing images are further analyzed via the convolutional neural learning for enhanced accuracy. The circular-shape hydrophilic PTFE porous membrane with a hydrophobic ring barrier is utilized as the sensing platform. When the virus proteins are interacting with antibody coated GNPs solution on the platform, a double-coffee ring image is observed and the convolutional neural network helps the differentiation for the first small protein-GNPs ring at the center and a second non-specific ring at the hydrophobic barrier. We use this double-coffee ring to detect viral infection and quantify the concentration of COVID-19 viruses in 5 ng/ml (LOD), similar to Abbott BinaxNOW (R) testing kit, to 1000 ng/ml. As such this detection scheme could open up a new class of bio-molecular research in the field of micro/nano fluidics.

12.
Chinese Journal of Applied Clinical Pediatrics ; 36(18):1368-1372, 2021.
Article in Chinese | Scopus | ID: covidwho-1481061

ABSTRACT

Severe acute respiratory syndrome coronavirus-2(SARS-CoV-2)infection is still worldwide.As a vulnerable group, severe and dead pediatric cases are also reported.Under this severe epidemic situation, children should be well protected.With the widespread vaccination of SARS-CoV-2 vaccine in adults, the infection rate have decreased.Therefore, SARS-CoV-2 vaccine inoculation for children groups step by step is of great significance to the protection of children and the prevention and control of corona virus disease 2019(COVID-19) as a whole.But the safety of children vaccinated with SARS-CoV-2 vaccine is a main concern of parents.Therefore, in order to ensure the safety of vaccination and the implementation of vaccination work, National Clinical Research Center for Respiratory Diseases, National Center for Children's Health and the Society of Pediatrics, Chinese Medical Association organized experts to interpret the main issue of parents about SARS-CoV-2 vaccine for children, in order to answer the doubts of parents. Copyright © 2021 by the Chinese Medical Association.

13.
Chinese Journal of Applied Clinical Pediatrics ; 36(18):1361-1367, 2021.
Article in Chinese | Scopus | ID: covidwho-1481060

ABSTRACT

At present, severe acute respiratory syndrome coronavirus-2(SARS-CoV-2)infection is still rampant worldwide.As of September 10, 2021, there were about 222 million confirmed cases of corona virus disease 2019(COVID-19)and more than 4.6 million deaths worldwide.With the development of COVID-19 vaccines and the gradual vaccination worldwide, the increasing number of cases in children and unvaccinated young people has drawn attention.According to World Health Organization surveillance data, the proportion of COVID-19 infection cases in children gradually increased, and the proportion of cases in the age groups of under 5 years and 5-14 years increased from 1.0% and 2.5% in January 2020 to 2.0% and 8.7% in July 2021, respectively.At present, billions of adults have been vaccinated with various COVID-19 vaccines worldwide, and their protective effects including reducing infection and transmission, reducing severe disease and hospitalization, and reducing death, as well as high safety have been confirmed.Canada, the United States, Europe and other countries have approved the emergency COVID-19 vaccination in children and adolescents aged 12 to 17 years, and China has also approved the phased vaccination of COVID-19 vaccination in children and adolescents aged 3 to 17 years. For smooth advancement and implementation of COVID-19 vaccination in children, academic institutions, including National Clinical Research Center for Respiratory Diseases, National Center for Children's Health, and The Society of Pediatrics, Chinese Medical Association organized relevant experts to reach this consensus on COVID-19 vaccination in children. Copyright © 2021 by the Chinese Medical Association.

14.
Chinese Journal of Radiology (China) ; 55(10):1054-1058, 2021.
Article in Chinese | EMBASE | ID: covidwho-1472444

ABSTRACT

Objective: To investigate high resolution CT (HRCT) manifestations and clinical features of patients infected with the novel coronavirus B.1.617.2 variant. Methods: A total of 125 patients with the novel coronavirus B.1.617.2 variant in Guangzhou Eighth People's Hospital from May 21 to June 9, 2021 was enrolled. There were 52 males and 73 females, aged from 1 to 92 years old with a median age of 47 year. The clinical features and HRCT characteristics were analyzed retrospectively. Results: Of the 125 patients, the main clinical manifestations were fever in 54 patients, cough in 50 patients, pharyngeal discomfort in 39 patients, and diarrhea in 5 patients. HRCT showed pneumonia in 96 cases, which predominantly had ground-glass opacities in 92 cases, ground-glass opacities combined with local consolidation in 22 cases, consolidation in 11 cases, intralobular interstitial thickening in 51 cases, centrilobular structural thickening in 23 cases, and cord-like lesions in 33 cases. One patient had pleural effusion, and no enlarged lymph nodes were observed in all patients. The lesions were distributed in the subpleural and/or peripheral lung in 96 cases and along the bronchovascular bundle (middle and inner zone) in 24 cases. The time interval from onset to positive HRCT was 3 (1, 4) days in 96 patients with pneumonia on HRCT. HRCT showed absorption after the imaging findings reaching the peak in 20 patients, and the time interval between the first positive HRCT findings and the peak imaging was 6 (3, 7) days in these 20 patients. Conclusions: The novel coronavirus B.1.617.2 variant has a strong infectivity, short viral latency. Lung injury is decreaseel. People of all ages are susceptible and the diseasemay have rapid pnegression. HRCT mainly shows ground glass opacities, which are more common in subpleural and/or in the lung periphery, with interlobular thickening.

15.
European Stroke Journal ; 6(1 SUPPL):17, 2021.
Article in English | EMBASE | ID: covidwho-1468038

ABSTRACT

Background and Aims: Rapid intravenous thrombolysis (IVT) for acute ischemic stroke (AIS) is crucial for improving outcomes. However, randomized trials to reduce in-hospital delay are clearly limited in China. We aimed to evaluate the effect of a multi-component intervention on thrombolytic door-to needle time (DNT) of AIS patients via video teleconference based on the Behavior Change Wheel method. Methods: This trial randomly allocated 22 hospitals equally to PEITEM (Persuasion Environment reconstruction Incentivisation Training Education Modeling) intervention or routine care plus stroke registry and subsequently enrolled 1634 AIS patients who receiving IVT within 4.5 hours upon stroke onset from participant hospitals. The PEITEM group received a one-year PEITEM intervention based on the behavioral theory monthly via video teleconference. Results: A total of 1, 634 patients from the 22 hospitals were enrolled. The proportion of DNT ≤ 60 minutes was 82.0% in the PEITEM group and 73.7% in the control group (adjusted odds ratio, 1.85;95% confidence interval [CI], 1.42 to 2.42, P<0.001). The average DNT was 43 minutes in the PEITEM group and 50 minutes in the control group (β: -9.00;95% CI, -11.37 to ≤6.63, P<0.001). Favorable neurological outcomes were achieved in 55.6% patients in the PEITEM group and 50.4% patients in the control group (adjusted odds ratio, 1.34;95% CI, 1.02 to 1.75;P=0.04). Conclusions: The teleconference-delivered PEITEM intervention resulted in a moderately but clinically relevant shorter DNT and better neurological outcomes in the AIS treated with the IVT. Video teleconference may be more appropriate and easier for quality improvement in the current global COVID-19 public health crisis disrupting healthcare services.

16.
Antimicrobial Resistance and Infection Control ; 10(SUPPL 1), 2021.
Article in English | EMBASE | ID: covidwho-1448437

ABSTRACT

Introduction: This study is the first to focus on the different respiratory support modes and outcomes of critically ill patients with COVID- 19 in Wuhan. The cohort study design is persuasive. The number of studies retrieved is limited in patients with MDRO coinfected with COVID-19. This study only selected critically ill patients with COVID-19 in Leishenshan Hospital. Objectives: We aimed to describe the clinical characteristics and outcomes of five different modes of respiratory support among critically ill patients with coronavirus disease 2019 (COVID-19). Methods: This was a hospital-based, retrospective cohort study which setting on Leishenshan hospital in Wuhan, central China. Patients with COVID-19 admitted to the ICU of Leishenshan Hospital from February 8, 2020 to April 18, 2020 were recruited. The outcome was living status and survival time. Results: Thirty-five patients died among 114 hospitalization patients (mortality rate, 30.7%), and 56 patients (49.12%) used mechanical ventilation. The mean survival time (days) of patients without respiratory support, noninvasive positive-pressure ventilation (NIPPV), endotracheal intubation, tracheotomy, or endotracheal intubation before and after tracheotomy (EI + T) was 15, 34, 32, 12.5, and 6, respectively (p < 0.000). Eighteen (15.79%) patients were co-infected with MDROs, primarily in the EI + T group (83.33%). The mortality risk of patients treated with NIPPV and EI + T was 0.20 and 0.21 times higher than that of patients without any respiratory support (95% confidence interval [CI] = 0.002-0.203;95% CI = 0.002-0.218). The mode of respiratory support was an independent factor affecting the survival of ICU patients with COVID-19. Conclusion: Mortality risk in patients with NIPPV and EI + T was lower than in those without any respiratory support. Timely and correct respiratory support mode is the key to reducing the death of critically ill patients with COVID-19.

17.
25th International Conference on Pattern Recognition (ICPR) ; : 8782-8788, 2021.
Article in English | Web of Science | ID: covidwho-1388101

ABSTRACT

Lung segmentation on CT images is a crucial step for a computer-aided diagnosis system of lung diseases. The existing deep learning based lung segmentation methods are less efficient to segment lungs on clinical CT images, especially that the segmentation on lung boundaries is not accurate enough due to complex pulmonary opacities in practical clinics. In this paper, we propose a boundary-guided network (BG-Net) to address this problem. It contains two auxiliary branches that seperately segment lungs and extract the lung boundaries, and an aggregation branch that efficiently exploits lung boundary cues to guide the network for more accurate lung segmentation on clinical CT images. We evaluate the proposed method on a private dataset collected from the Osaka university hospital and four public datasets including StructSeg [1], HUG [2], VESSEL12 [3], and a Novel Coronavirus 2019 (COVID-19) dataset [4]. Experimental results show that the proposed method can segment lungs more accurately and outperform several other deep learning based methods.

18.
25th International Conference on Pattern Recognition (ICPR) ; : 9007-9014, 2021.
Article in English | Web of Science | ID: covidwho-1388100

ABSTRACT

COVID-19 emerged towards the end of 2019 which was identified as a global pandemic by the world heath organization (WHO). With the rapid spread of COVID-19, the number of infected and suspected patients has increased dramatically. Chest computed tomography (CT) has been recognized as an efficient tool for the diagnosis of COVID-19. However, the huge CT data make it difficult for radiologist to fully exploit them on the diagnosis. In this paper, we propose a computer-aided diagnosis system that can automatically analyze CT images to distinguish the COVID-19 against to community-acquired pneumonia (CAP). The proposed system is based on an unsupervised pulmonary opacity detection method that locates opacity regions by a detector unsupervisedly trained from CT images with normal lung tissues. Radiomics based features are extracted insides the opacity regions, and fed into classifiers for classification. We evaluate the proposed CAD system by using 200 CT images collected from different patients in several hospitals. The accuracy, precision, recall, fl-score and AUC achieved are 95.5%, 100%, 91%, 95.1% and 95.9% respectively, exhibiting the promising capacity on the differential diagnosis of COVID-19 from CT images.

19.
Mater Today Adv ; 11: 100148, 2021 Sep.
Article in English | MEDLINE | ID: covidwho-1284399

ABSTRACT

The coronavirus disease 2019 (COVID-19) pandemic had caused a severe depletion of the worldwide supply of N95 respirators. The development of methods to effectively decontaminate N95 respirators while maintaining their integrity is crucial for respirator regeneration and reuse. In this study, we systematically evaluated five respirator decontamination methods using vaporized hydrogen peroxide (VHP) or ultraviolet (254 nm wavelength, UVC) radiation. Through testing the bioburden, filtration, fluid resistance, and fit (shape) of the decontaminated respirators, we found that the decontamination methods using BioQuell VHP, custom VHP container, Steris VHP, and Sterrad VHP effectively inactivated Cardiovirus (3-log10 reduction) and bacteria (6-log10 reduction) without compromising the respirator integrity after 2-15 cycles. Hope UVC system was capable of inactivating Cardiovirus (3-log10 reduction) but exhibited relatively poorer bactericidal activity. These methods are capable of decontaminating 10-1000 respirators per batch with varied decontamination times (10-200 min). Our findings show that N95 respirators treated by the previously mentioned decontamination methods are safe and effective for reuse by industry, laboratories, and hospitals.

20.
Chinese Journal of Applied Clinical Pediatrics ; 36(10):721-732, 2021.
Article in Chinese | Scopus | ID: covidwho-1278526

ABSTRACT

2019 novel coronavirus(2019-nCoV) outbreak is one of the public health emergency of international concern.Since the 2019-nCoV outbreak, China has been adopting strict prevention and control measures, and has achieved remarkable results in the initial stage of prevention and control.However, some imported cases and sporadic regional cases have been found, and even short-term regional epidemics have occurred, indicating that the preventing and control against the epidemic remains grim.With the change of the incidence proportion and the number of cases in children under 18 years old, some new special symptoms and complications have appeared in children patients.In addition, with the occurrence of virus mutation, it has not only attracted attention from all parties, but also proposed a new topic for the prevention and treatment of 2019-nCoV infection in children of China.Based on the second edition, the present consensus further summarizes the clinical characteristics and experience of children's cases, and puts forward recommendations on the diagnostic criteria, laboratory examination, treatment, prevention and control of children's cases for providing reference for further guidance of treatment of 2019-nCoV infection in children. © 2021 Chinese Medical Association

SELECTION OF CITATIONS
SEARCH DETAIL
...