Hyperkalemia caused by Qingfei Paidu decoction() in a patient with novel coronavirus pneumonia.

A 23-year-old male patient received moxifloxacin, recombinant human interferon alpha-2b for injection, and lopinavir and ritonavir for 7 days for novel coronavirus pneumonia. There was no abnor-malityof serum potassium. Moxifloxacin was stopped, Qingfei Paidu decoction() was given, and then the patient's serum potassium began to rise. On day 10 after taking the decoction, laboratory tests showed serum potassium 5.7 mmol/L and the patient was diagnosed with hyperkalemia. Insulin injection 4 U diluted to 5% glucose injection 250 ml was given once by IV infusion, and then the serum potassium decreased to 5.0 mmol/L 6 hours later and 4.6 mmol/L 2 days later. After 5 days, the serum potassium rose again and finally to 5.4 mmol/L on day 17 after taking the decoction. Insulin was given once that day and 2 days later once daily according to the previous method. Then the serum potassium decreased and did not rise again. The patient recovered from novel coronavirus pneumonia and was discharged on day 28 after hospitalization.Copyright © 2020 by the Chinese Medical Association.

Repeated respiratory viral infections in children.

Respiratory virus is a common cause of acute respiratory tract infection, especially in infant that accounts for 80%.However, reinfections usually occur after primary infection, which is not only infected by the different virus strains, but also the identical virus strains.Reinfections are common in children.As the pandemic of the 2019 novel coronavirus (2019-nCoV), its reinfections are similar to other respiratory viruses.Repeated respiratory viral infections in infants may lead to recurrent wheezing and asthma, which are also responsible for declined lung function and chronic obstructive pulmonary disease in adults.This study aims to review the epidemiology, pathogenesis and long-term effects of repeated respiratory viral infections in children, thus improving the ability to identify and support further research and vaccine strategy.Copyright © 2021 Chinese Medical Journals Publishing House Co.Ltd. All rights reserved.

Experts' consensus on severe acute respiratory syndrome coronavirus-2 vaccination of children.

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.

Typical es of COVID-19 Pneumonia in Adult

Medical History and Clinical Manifestation © Henan Science and Technology Press 2020.

Twenty key issues on severe acute respiratory syndrome coronavirus-2 vaccination in children.

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.

Influencing factors and clinical significance of liver function damage in patients diagnosed with COVID-19.

Objective: To invetigate the influencing factors and clinical significance of liver function damage (LFD) in patients diagnosed with Corona Virus Disease 2019 (COVID-19). Method(s): The retrospective case-control study was conducted. The clinicopathological data of 51 patients with COVID-19 who were admitted to the Sino-French New City Branch of Tongji Hospital Affiliated to Huazhong University of Science and Technology by the 5th group assisting team from the First Hospital of Jilin University from February 9th to 27th in 2020 were collected. There were 27 males and 24 females, aged from 36 to 86 years, with an average age of 68 years. The treatment modality was according to the diagnostic and therapeutic guideline for COVID-19 (Trial 6th edition) issued by National Health Commission. Observation indicators: (1) clinical data of patients;(2) analysis of liver function index and treatment of LFD;(3) analysis of influencing factors for LFD. Measurement data with normal distribution were represented as Mean+/-SD, and measurement data with skewed distribution were described as M (range). Count data were described as absolute numbers or percentages, and comparison between groups was analyzed using the chi-square test. The Logistic regression method was used for univariate analysis. Result(s): (1) Clinical data of patients: of the 51 patients, 21 were classified as ordinary type of COVID-19, 19 as severe type and 11 as critical type. In terms of medical history, 31 patients suffered from more than or equal to one kind of chronic disease, 20 had no history of chronic disease. Thirteen patients had the drinking history and 38 had no drinking history. Seven patients were hepatitis positive and 44 were hepatitis negative. Five patients had septic shock at admission, 5 had systemic inflammatory response syndrome (SIRS), and 41 had neither shock nor SIRS. The body mass index (BMI), time from onset to admission, temperature, heart rate, respiratory rate of the 51 patients were (24+/-3)kg/m2, (13+/-5)days, 36.5 (range, 36.0-38.1 ), 82 times/minutes (range, 50-133 times/minutes), 20 times/minutes (range, 12-40 times/minutes). The white blood cell count, level of creatinine, and level of b-type natriuretic peptide within 24 hours after admission were 6.3x109/L [range, (2.2-21.7)x109/L], 75 mumol/L (range, 44-342 mumol/L), 214 ng/L (range, 5-32 407 ng/L). (2) Analysis of liver function index and treatment of LFD: the level of alanine aminotransferase (ALT), aspartate aminotransferase (AST), glutamyl transpeptidase (GGT), alkaline phosphatase (ALP), direct bilirubin (DBil), indirect bilirubin (IBil), activated partial thromboplastin time (APTT) and prothrombin time (PT) were 31 U/L (range, 7-421 U/L), 29 U/L (range, 15-783 U/L), 36 U/L (range, 13-936 U/L), 76 U/L (range, 41-321 U/L), 4.9 mumol/L (range, 2.6-14.3 mumol/L), 5.8 mumol/L (range, 2.6-23.9 mumol/L), 37.2 s (range, 30.9-77.1 s), 13.9 s (range, 12.5-26.7 s), respectively. The percentages of cases with abnormal ALT, AST, GGT, ALP, DBil, IBil, APTT and PT were 47.1%(24/51), 47.1%(24/51), 35.3%(18/51), 13.7%(7/51), 7.8%(4/51), 2.0%(1/51), 21.6%(11/51), and 19.6%(10/51), respectively. Of the 51 patients, LFD was detected in 10 patients classified as ordinary type, in 9 patients as severe type, and in 10 as critical type, respectively. In the 51 patients, 1 of 22 patients with normal liver function developed respiratory failure and received mechanical ventilation within 24 hours after admission, while 9 of 29 patients with abnormal liver function developed respiratory failure and received mechanical ventilation, showing a significant difference between the two groups (chi2=5.57, P<0.05). (3) Analysis of influencing factors for LFD. Results of univariate analysis showed that clinical classification of COVID-19 as critical type was a related factor for LFD of patients (odds ratio=10.000, 95% confidence interval: 1.050-95.231, P<0.05). Conclusion(s): COVID-19 patients with LFD are more susceptible to develop respiratory failure. The clinical classification of COVID-19 as critic l type is a related factor for LFD of patients.Copyright © 2020 by the Chinese Medical Association.

Diagnosis, treatment and prevention of 2019 novel coronavirus infection in children: experts' consensus statement (Third Edition).

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.Copyright © 2021 Chinese Medical Association

The prototype system of public emergency command, dispatch, and control service for mobile target based on Beidou precise new time and space under the situation of epidemic

In this paper, under the influence of the current new corona pneumonia (2019 - nCoV), a prototype system of public emergency command and control service for Beidou's precise new space-time mobile target is proposed. This system uses the Beidou positioning equipment to be embedded in the mobile terminal and further realizes the precise control of the positioning trajectory of logistics vehicles and related personnel through the Beidou new space-time mobile target public emergency command and control service prototype system. At the same time, the grid difference technology is used to improve the positioning accuracy of the moving target so that the unmanned robot in the epidemic area can work more accurately. While reducing the risk of infection, the efficiency of epidemic prevention can be improved through systematic data analysis. The data can be collected through the platform to form an analysis report to provide decision support in the government's epidemic prevention and control work. © 2022 SPIE

Hot Spots and Cutting Edge Trends in CiteSpace based Research on Social Anxiety among College Students

Background Mental health problems among college students have become increasingly prominent. Social anxiety is one of the prevalent psychological problems among college students. Objective To explore the research hot spots，frontiers and trends on social anxiety among college students，and provide reference for researchers participating in the research of college students' social anxiety in the future. Methods 643 English articles in database of Web of Science（WOS） and 166 Chinese articles in database of China National Knowledge Infrastructure（CNKI）from 2000 to 2021 were analyzed using CiteSpace on August 27，2021. Results The number of English articles on social anxiety among college students showed an increasing trend from 2000 to 2021. The research hot spots and frontiers of social anxiety among college students were mainly focused on substance abuse，mobile phone and internet addiction，negative evaluation fear，racial differences，psychological intervention and COVID-19 epidemic. The future research trends were mainly focused on the mechanism of substance abuse and mobile phone addiction. Conclusion Chinese scholars can refer to the research hot spots，trends and the differences between domestic and foreign research shown by this visual analysis，and focus on the related problems of substance abuse and mobile internet addiction among college students with social anxiety. © 2022 Chinese General Practice. All rights reserved.

Analysis of Influencing Factors of Perceived Stress among Frontline Nurses under the Background of COVID-1 9

To explore the influencing factors of perceived stress among frontline nurses during COVID-1 9, and the role of positive psychological capital in anxiety sensitivity and stress perception, so as to provide evidence for reducing the perceived stress of frontline nurses. From December 2021 to January 2022, 475 frontline nurses from 8 hospitals in X city were investigated by general data questionnaire, positive psychological capital, anxiety sensitivity index and perceived stress scale. The results showed that there were significant differences in nurses’ perceived stress in age, working years, professional title and salary. Perceived stress was positively correlated with anxiety sensitivity, negatively correlated with positive psychological capital, and anxiety sensitivity was negatively correlated with positive psychological capital. Anxiety sensitivity can not only directly predict perceived stress, but also negatively affect perceived stress through positive psychological capital. Therefore, during the epidemic prevention and control in COVID-1 9, nurses can obtain effective stress coping strategies by strengthening their positive psychological capital, thus reducing their anxiety and perceived stress, and better providing high-quality nursing services for patients. © 2022, Editorial department of Chinese Medical Ethics. All rights reserved.

A Data-Driven Proactive Scheduling Approach for Hybrid Flow Shop Scheduling Problem

As we all know, the COVID-19 pandemic brought a great challenge to manufacturing industry, especially for some fraditional and unstable manufacturing systems. It reminds us that intelligent manufacturing certainly will play a key role in the future. Dynamic shop scheduling is also an inevitable hot topic in intelligent manufacturing. However, fraditional dynamic scheduling is a kind ofpassive scheduling mode which takes measures to adjust disturbed scheduling processes after the occurrence of dynamic events. It is difficult to ensure the stability of production because of lack of proactivity. To overcome these shortcomings, manufacturing big data and data technologies as the core driving force of intelligent manufacturing will be used to guide production. Thus, a datadriven proactive scheduling approach is proposed to deal with the dynamic events, especially for machine breakdown. In this paper, the overall procedure of the proposed approach is introduced. More specifically, we first use collected manufacturing data to predict the occurrence of machine breakdowns and provide reliable input for dynamic scheduling. Then a proactive scheduling model is constructed for the hybrid flow shop problem, and an intelligent optimization algorithm is used to solve the problem to realize proactive scheduling. Finally, we design comparative experiments with two fraditional rescheduling strategies to verify the effectiveness and stability of the proposed approach.

Spatiotemporal Autoregressive Partially Linear Varying Coefficient Models

With increasingly abundant data that relate to both space and time becoming available, spatiotemporal modeling is receiving much attention in the literature. This paper study develops a class of spatiotemporal autoregressive par-tially linear varying-coefficient models that are sufficiently flexible to simultaneously capture the spatiotemporal dependence and nonstationarity often encountered in practice. When spatial observations are observed over time and exhibit dynamic and nonstationary behaviors, our models become particularly useful. We develop a numerically stable and computationally efficient estimation procedure, using the tensor-product splines over triangular prisms to approximate the coefficient func-tions. The estimators of both the constant coefficients and the varying coefficients are consistent. We also show that the estimators of the constant coefficients are asymptotically normal, which enables us to construct confidence intervals and make inferences. The method's performance is evaluated using Monte Carlo experiments, and applied to model and forecast the spread of COVID-19 at the county level in the United States.

Indoor Contact Awareness on Spatiotemporal Analytics with Smartphone-Based Pedestrian Dead Reckoning

Due to the prevalence of COVID-19, providing safe environments and avoiding exposure to the virus play a pivotable role in our daily lives. As a well-established measurement, contact tracing is widely applied to suppress its spread. Most of the digital contact tracing systems merely detect direct face-to-face contact based on estimated proximity and do not quantify the exposed virus concentration. Indirect environmental exposure due to virus survival time in the air and constant airborne transmission is rarely considered quantitatively. In this work, to provide accurate awareness of the virus quanta concentration in different origins at various times, we propose iSTCA, a self-containing contact awareness approach with spatiotemporal information considered explicitly. Smartphone-based PDR is employed to precisely achieve the location and trajectories for distance estimation and time induction without extra infrastructure involved, in which the accumulative error is calibrated by recognized landmarks in space. A custom deep learning model composed of CNN and LSTM for both the local correlation and long-term dependency extraction is utilized to identify landmarks. By the integration of spatial distance and time difference, the virus quanta concentration of the entire indoor environment is quantitatively calculated at any time with all contributed virus particles. We conduct an experiment based on practical scenario to evaluate the performance of the proposed system, showing that the average positioning error is reduced to less than 0.8 m with high confidence and demonstrating the validity of our system for the virus quanta concentration quantification involving virus movement in a complex indoor environment. © 2022 ACM.

Evaluating the Impact of COVID-19 on Transportation Infrastructure Funding in the United States

The coronavirus disease 2019 (COVID-19) pandemic has caused a reduction in business and routine activity and resulted in less motor fuel consumption. Thus, the gas tax revenue is reduced, which is the major funding resource supporting the rehabilitation and maintenance of transportation infrastructure systems. The focus of this study is to evaluate the impact of the COVID-19 pandemic on transportation infrastructure funds in the United States through analyzing the motor fuel consumption data. Machine learning models were developed by integrating COVID-19 scenarios, fuel consumptions, and demographic data. The best model achieves an R2-score of more than 95% and captures the fluctuations of fuel consumption during the pandemic. Using the developed model, we project future motor gas consumption for each state. For some states, the gas tax revenues are going to be 10%-15% lower than the pre-pandemic level for at least one or two years. © 2022 International Conference on Transportation and Development

Updated results of a multicenter first-in-human study of BCMA/CD19 dual-targeting fast CAR-T GC012F for patients with relapsed/refractory multiple myeloma (RRMM)

Background: GC012F is a B cell maturation antigen (BCMA)/CD19 dual-targeting CAR-T developed on the novel FasT CAR-T platform with overnight manufacturing and designed to improve depth of response and efficacy. Data was presented at ASCO and EHA 2021 for initial 19 pts. We present updated data for study (NCT04236011;NCT04182581) with longer follow up and 9 additional pts treated (n = 28) in 3 different dose levels. Methods: From October 2019 to November 2021, 28 heavily pretreated RRMM pts (age 27-76) median of 5 prior lines (range 2-9) were treated on a single-arm, open label, multicenter Investigator Initiated Trial receiving a single infusion of GC012F. 89.3% (25/ 28) were high risk (HR- mSMART), 8 pts had EM disease, 3 had never achieved a CR including after transplant, 1 pts presented with plasma cell leukemia, 24/28 pts were refractory to last therapy, 3 pts primary refractory. 9/28 pts had received prior anti-CD38, 27/28 pts prior IMiDs. 26/28 pts were refractory to PI, 26/28 pts to IMiDs. After lymphodepletion over 2-3 days (30 mg/m2/d, 300mg/ m2/d Flu/Cy) GC012F was administered as single infusion at 3 dose levels: 1x105/kg (DL1) n = 2, 2x105/kg (DL2) n = 10 and 3x105/kg (DL3) n = 16. Results: As of Jan 26th 2022, 28 pts - median follow-up (f/ u) 6.3 mths (1.8-29.9) - had been evaluated for response. Overall response rate (ORR) in DL1 was 100% (2/2)- DL 2 -80% (8/10) DL 3 -93.8% (15/16) with 27 pts MRD negative by flow cytometry (sensitivity 10-4-10-6). 100% of MRD assessable pts (27/27) achieved MRD negativity. One patient out of 28 could not get assessed. At d28, 21/24 assessable patients were MRD negative (81.5%), 4/ 28 pts could not get d28 MRD assessment f/u due to COVID-19 restrictions however were assessed at a later timepoint. To date best response is MRD- sCR in 21/28 patients(75.0%) across all dose levels. Some pts after short f/u show responses that are still deepening. Cytokine Release Syndrome (CRS) was mostly low grade: gr 0 n = 3 (10.7%), gr 1-2 n = 23 (82.1%), gr 3 n = 2 (7.1%) - no gr 4/5 CRS and no ICANs were observed (Graded by ASBMT criteria). Median duration of CRS was 3 d (1-8 d). PK results showed no difference amongst dose levels DL1 to DL3. Overall, CAR-T median Tmax was 10 d (range 8-14 d), median peak copy number (Cmax) was 97009 (16,011-374,346) copies /μg DNA with long duration of persistence of up to d793 (data cut-off). CAR-T geometric mean AUC0-28 for DL1, DL2 and DL3 were 468863, 631540 and 581620 copies/μg DNA×day, respectively. Pts continue to be monitored for safety and efficacy including DOR. Conclusions: BCMA-CD19 dual FasT CAR-T GC012F continues to provide deep and durable responses with a favorable safety profile in additional RRMM pts across all dose levels demonstrating a very high MRD negativity rate including in pts refractory to anti-CD38, PI and IMIDs. GC012F is currently being studied in earlier lines of therapy as well as additional indications.

Antimicrobial Utilization Trends during the COVID-19 Pandemic Throughout the US

Introduction: The purpose of this study is to evaluate the trends of use of various antimicrobials prior to and during the coronavirus disease 2019 (COVID-19) pandemic, which is caused by a coronavirus and is unaffected by antimicrobials. Despite the inactivity of antimicrobials against COVID-19, they are still employed due the possibility of underlying or 'just in case' scenarios of bacterial infection. Research Question or Hypothesis: We hypothesis that the utilization rates of common intravenous antimicrobials correlate to the number of hospitalized COVID-19 patients. Study Design: Retrospective evaluation. Methods: This study utilized de-identified data and was exempt from requiring IRB approval. The antimicrobial utilization was collected through the National Center for Advancing Translational Sciences (NCATS) National COVID Cohort Collaborative (N3C) from 01/01/2019 to 12/31/2021. Antimicrobials of interest included carbapenems, 3rd/4th generation cephalosporins, fluoroquinolones, and piperacillin-tazobactam. Antimicrobial utilization rate was measured using the metric days of therapy (DOT) and patient days. Results: Ten antibiotics were evaluated in this study and accounted for 7,891,986 DOT over three years. Monthly antibiotic utilization (mean±SD per 10,000 patient days [PD]) in 2019 (28.3±13.9) was significantly higher than 2020 (10.8±1.5) and 2021 (12.1±5), p<0.001. All the antibiotics evaluated had significant decreases in utilization with the exception of ceftriaxone (CRO) and piperacillin-tazobactam (TZP). Monthly CRO utilization (mean±SD per 10,000 patient days) in 2019 (3.11±0.32) and 2020 (3.18±0.23) were similar, but higher than 2021 (2.88±0.29), p=0.16. TZP had a similar DOT/10,000PD trend where utilization in 2019 (2.1±0.39) and 2020 (1.8±0.09) were constant and higher than 2021 (1.61±0.08), p<0.001. There is a negative correlation between COVID-19 cases and antibiotics evaluated, r = -0.655, p<0.001. Conclusion: The antimicrobial utilization decreased during the years 2020-2021 with the exception of CRO and TZP. We plan to develop a model to determine the influence of COVID-19 on antibiotic prescribing and evaluate antimicrobial use based on US regions.

[COVID-19 vaccines primary features and research progress on possible trigger of liver injury post-vaccination].

The COVID-19 outbreak is a global pandemic that has had caused a profound impact on social stability, economic development and national security, and has further evolved into a major public health crisis. The rapid research and development and efficient deployment of vaccines is one of the effective means to prevent and control the epidemic. This article reviews the primary features of current COVID-19 vaccines, simultaneously focus the clinical features of liver injury post-vaccination and explore its possible pathogenesis.