[Clinical features of children with coronavirus disease 2019 caused by Delta variant infection in different age groups]. / 不同年龄段儿童Deltaå˜å¼‚æ ªæ„ŸæŸ“æ‰€è‡´æ–°åž‹å† çŠ¶ç— æ¯’æ„ŸæŸ“çš„ä¸´åºŠç‰¹å¾åˆ†æž.

OBJECTIVES: To study the clinical features of children with coronavirus disease 2019 (COVID-19) caused by Delta variant infection in different ages groups. METHODS: A total of 45 children with COVID-19 caused by Delta variant infection who were hospitalized in the designated hospital in Henan Province, China, from November 17 to December 17, 2021, were included. They were divided into three groups: <6 years group (n=16), 6-13 years group (n=16), and >13 years group (n=13). The three groups were compared in clinical features and laboratory examination data. RESULTS: COVID-19 in all age groups was mainly mild. Main manifestations included cough and expectoration in the three groups, and fever was only observed in the 6-13 years group. The <6 years group had significantly higher serum levels of aspartate aminotransferase, lactate dehydrogenase, and creatine kinase isoenzymes than the other two groups (P<0.05). The 6-13 years group had the highest proportion of children with elevated serum creatinine levels (50%). Among the three groups, only 4 children in the >13 years group had an increase in serum C-reactive protein levels. The 6-13 years group had the lowest counts of CD3+CD4+ lymphocytes, CD3+CD8+ lymphocytes, and natural killer cells in the peripheral blood among the three groups. The >13 years group had a significantly higher positive rate of SARS-CoV-2 IgG on admission than the other two groups (P<0.05). There was no significant difference in the imaging findings on chest CT among the three groups (P>0.05). CONCLUSIONS: The clinical features of COVID-19 caused by Delta variant infection in children of different age groups may be different: children aged <6 years tend to develop myocardial injury, and those aged 6-13 years have fever except cough and expectoration and tend to develop renal and immune dysfunction.

Dynamics of T follicular helper cells in patients with rheumatic diseases and subsequent antibody responses in a three-dose immunization regimen of CoronaVac.

Given increased acceptance of the CoronaVac, there is an unmet need to assess the safety and immunogenic changes of CoronaVac in patients with rheumatic diseases (RD). Here we comprehensively analysed humoral and cellular responses in patient with RD after a three-dose immunization regimen of CoronaVac. RD patients with stable condition and/or low disease activity (n = 40) or healthy controls (n = 40) were assigned in a 1:1 ratio to receive CoronaVac (Sinovac). The prevalence of anti-receptor binding domain (RBD) antibodies and neutralizing antibodies was similar between healthy control (HC) and RD patients after the second and the third vaccination. However, the titers of anti-RBD IgG and neutralizing antibodies were significantly lower in RD patients compared to HCs (p < 0.05), which was associated with an impaired T follicular helper (Tfh) cell response. Among RD patients, those who generated an antibody response displayed a significantly higher Tfh cells compared to those who failed after the first and the second vaccination (p < 0.05). Interestingly, subjects with a negative serological response displayed a similar Tfh memory response to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-derived peptides as their anti-RBD IgG positive counterpart, and all (4/4) of the non-responders in HCs, and 62.5% (5/8) of the non-responders in patients with RD displayed a positive serological response following the third dose. No serious adverse events were observed. In conclusion, our findings support SARS-CoV-2 vaccination in patients with RD with stable and/or low disease activity. The impaired ability in generating vaccine-specific antibodies in patients with RD was associated with a reduction in Tfh cells induction. The window of vaccination times still needs to be explored in future studies. Clinical trial registration: This trial was registered with ChiCTR2100049138.

[Clinical features of children with coronavirus disease 2019 Delta variant infection after vaccination with inactivated SARS-CoV-2 vaccine]. / æŽ¥ç§æ–°åž‹å† çŠ¶ç— æ¯’ç­æ´»ç–«è‹—åŽæ„ŸæŸ“Deltaå˜å¼‚æ ªçš„æ–°åž‹å† çŠ¶ç— æ¯’è‚ºç‚Žæ‚£å„¿ä¸´åºŠç‰¹å¾åˆ†æž.

OBJECTIVES: To study the clinical features of children with coronavirus disease 2019 (COVID-19) Delta variant infection vaccinated or not vaccinated with inactivated severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine. METHODS: A total of 11 children with COVID-19 Delta variant infection who were vaccinated with inactivated SARS-CoV-2 vaccine and were hospitalized in the designated hospital in Henan Province, China, from November 3 to December 17, 2021 were enrolled as the vaccinated group. Thirty-one children with COVID-19 Delta variant infection who were not vaccinated and were hospitalized during the same period were enrolled as the unvaccinated group. A retrospective analysis was performed on their epidemiological data, clinical features, and laboratory examination results. RESULTS: There was no significant difference in gender composition and disease classification between the two groups (P>0.05), and there was also no significant difference in the incidence rates of the clinical symptoms such as cough, expectoration, and fever between the two groups (P>0.05). No significant difference was found between the two groups in leukocyte count, lymphocyte percentage, alanine aminotransferase, and serum creatinine (P>0.05). Compared with the unvaccinated group, the vaccinated group had significantly lower levels of aspartate aminotransferase, lactate dehydrogenase, and creatine kinase-MB (P<0.05). There was no significant difference between the two groups in the proportion of children with elevated C-reactive protein or procalcitonin and the levels of peripheral blood cytokines (P>0.05). The vaccinated group had significantly lower counts of B lymphocytes and total T lymphocytes (CD3+) than the unvaccinated group (P<0.05). Compared with the unvaccinated group, the vaccinated group had a significantly higher positive rate of IgG on admission and at week 2 of the course of disease (P<0.05), as well as a significantly higher Ct value of nucleic acid at weeks 1 and 2 of the course of disease (P<0.05). CONCLUSIONS: Vaccination with inactivated SARS-CoV-2 vaccine may reduce myocardial injury caused by SARS-CoV-2 Delta variant. For children with SARS-CoV-2 Delta variant infection after the vaccination, more attention should be paid to their immune function.

Flexible Wearable Pressure Sensor Based on Collagen Fiber Material.

Flexible wearable pressure sensors play a pivotal role in healthcare monitoring, disease prevention, and humanmachine interactions. However, their narrow sensing ranges, low detection sensitivities, slow responses, and complex preparation processes restrict their application in smart wearable devices. Herein, a capacitive pressure sensor with high sensitivity and flexibility that uses an ionic collagen fiber material as the dielectric layer is proposed. The sensor exhibits a high sensitivity (5.24 kPa-1), fast response time (40 ms), long-term stability, and excellent repeatability over 3000 cycles. Because the sensor is resizable, flexible, and has a simple preparation process, it can be flexibly attached to clothes and the human body for wearable monitoring. Furthermore, the practicality of the sensor is proven by attaching it to different measurement positions on the human body to monitor the activity signal.

A Sustainable Strategy for Solid-Phase Extraction of Antiviral Drug from Environmental Waters by Immobilized Hydrogen Bond Acceptor.

Deep eutectic solvents are a new generation of green solvents composed of hydrogen bond acceptors and donors. However, when used as extractants in liquid-liquid separation, they are difficult to recycle and easy to lose. In order to solve these problems, herein, immobilized hydrogen bond acceptor adsorbent material was prepared for the separation and enrichment of antiviral drug arbidol from seven kinds of environmental water samples by in situ formation of hydrophobic deep eutectic solvents. The structure, morphology and thermal stability of the adsorbents were characterized, the separation and enrichment conditions for the targeted analyte were optimized, and the adsorption thermodynamics and kinetics were investigated. It was found that the adsorbent material could effectively enrich trace arbidol with the recovery more than 95% at the concentration above 7.5 ng/mL, and the enrichment factor was as high as 634.7. Coexisting substances, such as NaCl, KCl, CaCl2 and MgCl2, did not interfere with the adsorption of arbidol, even if their concentration was high, up to 1.0 mol/L, and the relative recovery for real samples was in the range from 92.5% to 100.3%. Furthermore, the immobilized hydrogen bond acceptor could be recycled and reused, and the recovery of arbidol was still above 95% after 12 adsorption-desorption cycles. The mechanism study demonstrates that the synergistic effect of hydrogen bonding and π-π stacking is the primary factor for the high adsorption efficiency.

Modulation of innate immune response to viruses including SARS-CoV-2 by progesterone.

Whether and how innate antiviral response is regulated by humoral metabolism remains enigmatic. We show that viral infection induces progesterone via the hypothalamic-pituitary-adrenal axis in mice. Progesterone induces downstream antiviral genes and promotes innate antiviral response in cells and mice, whereas knockout of the progesterone receptor PGR has opposite effects. Mechanistically, stimulation of PGR by progesterone activates the tyrosine kinase SRC, which phosphorylates the transcriptional factor IRF3 at Y107, leading to its activation and induction of antiviral genes. SARS-CoV-2-infected patients have increased progesterone levels, and which are co-related with decreased severity of COVID-19. Our findings reveal how progesterone modulates host innate antiviral response, and point to progesterone as a potential immunomodulatory reagent for infectious and inflammatory diseases.

Potential urinary biomarkers in young adults with short-term exposure to particulate matter and bioaerosols identified using an unbiased metabolomic approach.

Numerous epidemiological studies have shown a close relationship between outdoor air pollution and increased risks for cancer, infection, and cardiopulmonary diseases. However, very few studies have investigated the potential health effects of coexposure to airborne particulate matter (PM) and bioaerosols through the transmission of infectious agents, particularly under the current circumstances of the coronavirus disease 2019 pandemic. In this study, we aimed to identify urinary metabolite biomarkers that might serve as clinically predictive or diagnostic standards for relevant diseases in a real-time manner. We performed an unbiased gas/liquid chromatography-mass spectroscopy (GC/LC-MS) approach to detect urinary metabolites in 92 samples from young healthy individuals collected at three different time points after exposure to clean air, polluted ambient, or purified air, as well as two additional time points after air repollution or repurification. Subsequently, we compared the metabolomic profiles between the two time points using an integrated analysis, along with Kyoto Encyclopedia of Genes and Genomes-enriched pathway and time-series analysis. We identified 33 and 155 differential metabolites (DMs) associated with PM and bioaerosol exposure using GC/LC-MS and follow-up analyses, respectively. Our findings suggest that 16-dehydroprogesterone and 4-hydroxyphenylethanol in urine samples may serve as potential biomarkers to predict or diagnose PM- or bioaerosol-related diseases, respectively. The results indicated apparent differences between PM- and bioaerosol-associated DMs at five different time points and revealed dynamic alterations in the urinary metabolic profiles of young healthy humans with cyclic exposure to clean and polluted air environments. Our findings will help in investigating the detrimental health effects of short-term coexposure to airborne PM and bioaerosols in a real-time manner and improve clinically predictive or diagnostic strategies for preventing air pollution-related diseases.

Guidelines on the treatment with integrated traditional Chinese medicine and western medicine for severe coronavirus disease 2019.

Severe Coronavirus Disease 2019 (COVID-19) is characterized by numerous complications, complex disease, and high mortality, making its treatment a top priority in the treatment of COVID-19. Integrated traditional Chinese medicine (TCM) and western medicine played an important role in the prevention, treatment, and rehabilitation of COVID-19 during the epidemic. However, currently there are no evidence-based guidelines for the integrated treatment of severe COVID-19 with TCM and western medicine. Therefore, it is important to develop an evidence-based guideline on the treatment of severe COVID-19 with integrated TCM and western medicine, in order to provide clinical guidance and decision basis for healthcare professionals, public health personnel, and scientific researchers involved in the diagnosis, treatment, and care of COVID-19 patients. We developed and completed the guideline by referring to the standardization process of the "WHO handbook for guideline development", the Grading of Recommendations Assessment, Development and Evaluation (GRADE) system, and the Reporting Items for Practice Guidelines in Healthcare (RIGHT).

Nurses reports of actual work hours and preferred work hours per shift among frontline nurses during coronavirus disease 2019 (COVID-19) epidemic: A cross-sectional survey.

BACKGROUND: The Coronavirus disease (COVID-19) pandemic is an ongoing pandemic all over the world, leading to 126, 372, 442 people diagnosed and 2, 769, 696 deaths globally as of March 28, 2021. Nurses are providing care to patients with COVID-19 who require hospitalization. To ensure adequate response capacity and to maintain the health of nurses, it is important to analyse the actual work hours and the nurses reported preferred work hours per shift among frontline nurses. OBJECTIVE: To analyse the actual work hours and preferred work hours per shift of nurses reports among frontline nurses fighting the COVID-19 epidemic and to explore the influencing factors on the nurses reported preferred work hours. DESIGN: Cross-sectional survey. SETTINGS: This study was conducted in 10 designated hospitals providing treatments to patients with COVID-19 in China. PARTICIPANTS: Nurses providing care to patients with COVID-19 in designated hospitals in China. METHODS: A questionnaire with open-ended questions was used to assess frontline nurses caring for COVID-19 cases in 10 designated hospitals. Quantitative and qualitative methods were used to analyse the actual work hours, the nurses reported preferred work hours and factors influencing nurses reported preferred work hours among the frontline nurses. RESULTS: A total of 109 nurses responded to the survey. The shift length exceeded the nurses' preferred work hours [Median (interquartile range): 5.00 (2.00) h vs 4.00 (2.00) h; Minimum-Maximum: 4-12 h vs 4-8 h], and 60.55% (66/109) of the nurses regarded 4 h as the preferred number of work hours per shift. Five key themes associated with the influencing factors emerged, including circumstances; personal preventable equipment; the nurses' physical and emotional needs of nurse; and the nurses' safety needs and work intensity. CONCLUSIONS: These findings suggest that there is a gap between the actual work hours and the nurses preferred work hours among frontline nurses in different units and different posts. The main influencing factors were circumstances, personal protective equipment, the nurses' physical and emotional needs, and the nurses' safety needs and work intensity.

Study on the mechanism of treating COVID-19 with Shenqi Wan based on network pharmacology.

PURPOSE: Through the method of network pharmacology, the active components and targets of Shenqi Wan (SQW) were excavated, the relationship with novel Coronavirus pneumonia (COVID-19) was discussed, and the possible mechanism of SQW in the treatment of COVID-19 was revealed from the aspects of multicomponents, multitargets, and multipathways. METHODS: Firstly, the active components of SQW were screened from traditional Chinese medicine systems pharmacology database and analysis platform and the 2020 edition of Chinese Pharmacopeia, and the related targets of the components were obtained. Then the disease targets related to COVID-19 were screened from GeneCards and Online Mendelian Inheritance in Man. Venny was used to map the relationship between component-target and disease-target, and String was used to analyze the interaction of common targets. The network was constructed and analyzed by Cytoscape, the function of Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) genes was enriched by Metascape, and the molecular docking was verified by CB-Dock. RESULTS: Finally, 45 active components of SQW were obtained, and 72 potential targets were related to COVID-19, angiotensin-converting enzyme 2 (ACE2), interleukin (IL)-6, nitric oxide synthase (NOS3) and, C-reactive protein (CRP),may be the key targets. GO enrichment of 1715 projects, such as lipopolysaccharide stress response, active oxygen metabolism, positive regulation of cell migration, and other GO enrichment. About 136 KEGG pathways, tumor necrosis factor signaling pathway, IL-17 signaling pathway, hypoxia-inducible factor 1-α signaling pathway were obtained. Molecular docking showed that kaempferol, quercetin, luteolin, astragaloside, calyx isoflavone glucoside, matrine, and other COVID-19-related targets such as ACE2, chymotrypsin-like protease (3CLpro), papain-like protease (PLpro), prostaglandin-endoperoxide synthase 2 (PTGS2) have good binding ability. CONCLUSION: According to the above results, it is suggested that SQW may play a role in the treatment of COVID-19 by directly or indirectly combining kaempferol, quercetin, and luteolin with ACE2, 3CLpro, PLpro, and PTGS2 to regulate multiple biological functions and signaling pathways.

Clinical features of Chinese children with COVID-19 and other viral respiratory infections.

OBJECTIVE: Few studies have explored the clinical features in children infected with SARS-CoV-2 and other common respiratory viruses, including respiratory syncytial virus (RSV), Influenza virus (IV), and adenovirus (ADV). Herein, we reported the clinical characteristics and cytokine profiling in children with COVID-19 or other acute respiratory tract infections (ARTI). METHODS: We enrolled 20 hospitalized children confirmed as COVID-19 positive, 58 patients with ARTI, and 20 age and sex-matched healthy children. The clinical information and blood test results were collected. A total of 27 cytokines and chemokines were measured and analyzed. RESULTS: The median age in the COVID-19 positive group was 14.5 years, which was higher than that of the ARTI groups. Around one-third of patients in the COVID-19 group experienced moderate fever, with a peak temperature of 38.27°C. None of the patients displayed wheezing or dyspnea. In addition, patients in the COVID-19 group had lower white blood cells, platelet counts as well as a neutrophil-lymphocyte ratio. Lower serum concentrations of 14 out of 27 cytokines were observed in the COVID-19 group than in healthy individuals. Seven cytokines (IL-1Ra, IL-1ß, IL-9, IL-10, TNF-α, MIP-1α, and VEGF) changed serum concentration in COVID-19 compared with other ARTI groups. CONCLUSION: Patients with COVID-19 were older and showed milder symptoms and a favorable prognosis than ARTI caused by RSV, IV, and ADV. There was a low grade or constrained innate immune reaction in children with mild COVID-19.

The Associations of Lymphocyte Ratio and Neutrophil Ratio on Liver Dysfunction in COVID-19 Patients.

Data on the impact of lymphocytes and neutrophils on the incidence of liver dysfunction in COVID-19 patients are limited. This study aimed to investigate the lateral and longitudinal associations of lymphocyte ratio (LR) and neutrophil ratio (NR) on liver dysfunction in COVID-19 patients. We tested 1,409 blood samples from 245 COVID-19 patients in China between January 2020 and June 2021. The lateral U-shaped relationships, determined by smooth curve fitting and the piecewise-linear mixed-effect model, were observed between LR, NR, and AST and the incidence of AST-linked liver dysfunction, with the threshold cutoffs of 26.1 and 62.0, respectively. Over the 1,409 tests, the LR ≤ 26.1 and NR ≥ 62.0 related to the occurrence of mild liver dysfunction (HR: 1.36; 95% CI: 1.01, 1.82), moderate liver dysfunction (HR: 1.37; 95% CI: 1.01, 1.85), and severe liver dysfunction (HR: 1.72; 95% CI: 1.02, 2.90). For the patients with preexisting AST ≥ 35 U/L, the baseline LR ≤ 26.1 and NR ≥ 62.0 (b.LLCHN) groups had a fully adjusted 8.85-, 7.88-, and 5.97-fold increased risk of mild and moderate liver dysfunction after being hospitalized of 3, 6, and 9 days compared to the baseline LR > 26.1 and NR < 62.0 (b.normal) groups. Severe liver dysfunction only presents significant differences after being adjusted for age, sex, and BMI. Consistently, Kaplan-Meier analyses showed that b.LLCHN reflects a better predictive value for different subsequent magnitude liver dysfunctions after admission of 3 and 6 days. To improve liver function in patients with preexisting AST ≥35 U/L, future management strategies should pay more attention to baseline LR ≤ 26.1 and NR ≥ 62.0 patients.

Evaluation of the "safe multidisciplinary app-assisted remote patient-self-testing (SMART) model" for warfarin home management during the COVID-19 pandemic: study protocol of a multi-center randomized controlled trial.

BACKGROUND: Warfarin treatment requires frequent monitoring of INR (international normalized ratio) to adjust dosage in a therapeutic range. In China, patients living in small towns usually go to tertiary hospitals to get warfarin monitoring and dosing, resulting in low frequencies of follow-ups and high incidence of complications. Influenced by the COVID-19 pandemic, patients on warfarin have further reduced their visits to healthcare institutions. While patient self-testing (PST) via using a point-of-care testing device for INR measuring at home has been widely used in developed countries and demonstrated improved clinical outcomes compared to usual care in clinics, it is rarely applied in developing countries, including China. This proposed study will develop and assess the "Safe Multidisciplinary App-assisted Remote patient-self-Testing (SMART) model" for warfarin home management in China during the COVID-19 pandemic. METHODS: This is a multi-center randomized controlled trial. We will carry out the study in three county hospitals, three small tertiary hospitals and three large tertiary hospitals with anticoagulation clinics in Hunan province of China. Eligible patients will be randomly assigned to the SMART model group (n = 360) or the control group (usual care clinic group, n = 360; anticoagulation clinic group, n = 120). Patients in the SMART model group do PST at home once every two to 4 weeks. Controls receive usual care in the clinics. All the patients will be followed up through outpatient clinics, phone call or online interviews at the 3rd, 6th, 9th and 12th month. The percentage of time in therapeutic range (TTR), incidence of warfarin associated major bleeding and thromboembolic events and costs will be compared between the SMART model group and control groups. DISCUSSION: Patients in the SMART model group would show improved TTR, lower incidence of complications and better quality of life compared to the control groups. Our design, implementation and usage of the SMART model will provide experience and evidence in developing a novel model for chronic disease management to solve the problem of healthcare service maldistribution, an issue particularly obvious in developing countries during the COVID-19 pandemic. TRIAL REGISTRATION: ChiCTR, ChiCTR 2000038984 . Registered 11 October, 2020.

Imaging findings and changes in discharged moderate novel coronavirus pneumonia patients with positive nucleic acid retest

The clinical and imaging data belonging to 52 discharged novel coronavirus pneumonia (NCP) patients with positive nucleic acid retesting results during the follow-up period were collected from the First People's Hospital, Xiaogan, Hubei Province, China, for analysis. These moderate NCP patients underwent a plain CT scan before the admission, at the time of discharge, and at re-admission due to the positive result of their COVID-19 nucleic acid retesting. The CT signs of these patients were analyzed in this study and a total of 32 (61.54%) patients presented with 123 lesions with patchy fuzzy shadows. In addition, 24 (75%) and 8 (25%) patients out of the 32 patients, had lesions distributed in both lungs and single lung, respectively. It is worth mentioning that the CT manifestations varied in discharged moderate NCP patients whose COVID-19 nucleic acid retest was positive in the follow-up period. Most patients presented with patchy fuzzy shadows and ground-glass opacity (GGO) lesions distributed in the lower lobe of both lungs. The results of the study indicated that some discharged moderate NCP patients with positive COVID-19 nucleic acid retest developed new patchy fuzzy shadows and GGO lesions. Moreover, the recurrence of NCP needs to be verified once patchy fuzzy shadows and GGO lesions appear and are not absorbed during the follow-up period. This study provided a reference for the follow-up NCP evaluation.

Early Risk Factors for the Duration of Severe Acute Respiratory Syndrome Coronavirus 2 Viral Positivity in Patients With Coronavirus Disease 2019.

BACKGROUND: Pneumonia coronavirus disease 2019 (COVID-19) has became a pandemic. However, information on early risk factors for the duration of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral positivity is not yet available. METHODS: In this prospective study, a cohort of 137 patients with confirmed SARS-CoV-2 were enrolled. Clinical information and laboratory data were retrieved from electronic medical records. Viral positivity duration was calculated by the interval from the day of confirmed SARS-CoV-2 positive results to the day SARS-CoV-2 testing showed negative results in these 137 patients with COVID-19. Early risk factors for the duration of SARS-CoV-2 viral positivity were evaluated. RESULTS: The median SARS-CoV-2 viral positivity duration is 12 days (range, 4 to ~45) for this cohort. Cox regression results showed a significantly shorter viral positivity duration was related to younger age (hazard ratio [HR], .658; P = .017); disease not being severe (HR, .653; P = .076); higher lymphocyte (HR, 1.464; P = .033), eosinophil (HR, 1.514; P = .020), and CD8+ T-cell (HR, 1.745; P = .033) counts; and lower IL-6 (HR, .664; P = .036) and IL-10 (HR, .631; P = .021). Multivariate analysis with covariable-adjusted results showed that the CD8+ T-cell count (HR, 2.376; P= .114) was a predominant risk factor for the duration of SARS-CoV-2 viral positivity. CONCLUSIONS: Our findings show early laboratory parameters such as CD8+ T-cell count to be risk factors for the duration of SARS-CoV-2 viral positivity, which has significance in the control and prevention of the disease.

Computer-Aided Diagnosis of COVID-19 CT Scans Based on Spatiotemporal Information Fusion.

Coronavirus disease (COVID-19) is highly contagious and pathogenic. Currently, the diagnosis of COVID-19 is based on nucleic acid testing, but it has false negatives and hysteresis. The use of lung CT scans can help screen and effectively monitor diagnosed cases. The application of computer-aided diagnosis technology can reduce the burden on doctors, which is conducive to rapid and large-scale diagnostic screening. In this paper, we proposed an automatic detection method for COVID-19 based on spatiotemporal information fusion. Using the segmentation network in the deep learning method to segment the lung area and the lesion area, the spatiotemporal information features of multiple CT scans are extracted to perform auxiliary diagnosis analysis. The performance of this method was verified on the collected dataset. We achieved the classification of COVID-19 CT scans and non-COVID-19 CT scans and analyzed the development of the patients' condition through the CT scans. The average accuracy rate is 96.7%, sensitivity is 95.2%, and F1 score is 95.9%. Each scan takes about 30 seconds for detection.

Peripheral immunological features of COVID-19 patients in Taizhou, China: A retrospective study.

BACKGROUND: Abnormal peripheral immunological features are associated with the progression of coronavirus disease 2019 (COVID-19). METHODS: Clinical and laboratory data were retrieved in a cohort of 146 laboratory-confirmed COVID-19 patients. Potential risk factors for the development of severe COVID-19 were evaluated. RESULTS: On admission, lymphocytes, CD3+, CD4+ and CD8+ T cells, eosinophils, and albumin and pre-albumin were dramatically lower, whereas neutrophils, and interleukin (IL)-10, C-reactive protein (CRP), aspartate aminotransferase (AST) and gamma-glutamyltransferase (GGT) were significantly higher in severe cases. By the second week after discharge, all variables improved to normal levels. Covariate logistic regression results showed that the CD8+ cell count and CRP level were independent risk factors for severe COVID-19. CONCLUSION: Lower peripheral immune cell subsets in patients with severe disease recovered to normal levels as early as the second week after discharge. CD8+ T cell counts and CRP levels on admission are independent predictive factors for severe COVID-19.

Management Strategies for Patients After CABG Surgery in the Outbreak of the COVID-19 Pandemic.

BACKGROUND: The novel coronavirus 2019 pandemic (COVID-19) has quickly spread over the world and affected over 100 countries so far. Patients with pre-existing cardiovascular disease may have a higher risk of infection of COVID-19 and worse outcomes than others. To improve the outcome during the pandemic, management strategies for the patients recovering from coronary artery bypass graft (CABG) surgery need to be reconsidered. METHODS: Some precaution advices including self-protection, blood glucose and blood pressure controlling are recommended for the patients recovering from CABG during the pandemic. They are encouraged to communicate with doctors by telephone or Internet when COVID-19 related symptoms such as cough, fever and dyspnea occur. As a follow-up strategy for patients after CABG surgery, cardiac biomarkers and CTA could also be helpful to the diagnosis of COVID-19. Some medications being investigated for COVID-19 therapy may have side effects relevant to cardiovascular disease. Appropriate personal protection equipment (PPE) is necessary for cardiovascular health-care workers operating in clinical settings. RESULTS: There was zero out of over 300 follow-up patients after CABG surgery confirmed to be infected with COVID-19 from January to June 2020. No cardiovascular health-care workers were reported to be infected neither in the Second Xiangya Hospital during the pandemic. CONCLUSION: The management strategy here we proposed could improve the outcome of patients after CABG during the pandemic and benefit both cardiovascular patients and health-care workers.

Clinical Use of Short-Course and Low-Dose Corticosteroids in Patients With Non-severe COVID-19 During Pneumonia Progression.

Background: The emerging coronavirus disease 2019 (COVID-19) has become a serious public health concern with a high number of fatalities. It is unclear whether corticosteroids could be a candidate for an early intervention strategy for patients with COVID-19. Methods: In this retrospective cohort study, we analyzed data from 28 corticosteroid-treated patients with non-severe but advanced COVID-19, in which short-course and low-dose corticosteroids were administered because of unremitting or worsening clinical conditions during hospitalization. To compare the effect of corticosteroids on viral clearance, 44 corticosteroid-untreated patients were included as controls. Results: At the time of admission, corticosteroid-treated patients (n = 28) had a more advanced baseline illness compared with corticosteroid-untreated patients (n = 44), as reflected by poorer blood laboratory parameters (lymphocytes, C-reactive protein, and lactate dehydrogenase) and more extensive chest computed tomography (CT) abnormalities. Corticosteroids were given because of radiological evidence of pneumonia progression (26/28) and/or unremitting fever (22/28) after admission. The median time from illness onset to corticosteroid treatment was 9 days (IQR, 7-10). The median duration and accumulated dose of corticosteroid treatment were 4.5 days [interquartile range (IQR), 3-5] and 140 mg of methylprednisolone (IQR, 120-200). Intravenous immunoglobulin (20 g per day for 3-5 days) was co-administered with corticosteroids. With the corticosteroid treatment, all patients achieved an abatement of fever within 1 day, and 78.6% (22/28) of the patients achieved radiological remission when evaluated about 3 days later. Only one (3.6%) patient progressed to severe COVID-19, and all patients recovered and were discharged without any sequela. The median time from illness onset to viral clearance was similar, as compared with 44 corticosteroid-untreated patients with relatively milder disease [18 (IQR 14.3-23.5) days vs. 17 (IQR, 12-20) days, p = 0.252]. When adjusted for age, sex, underlying comorbidities, baseline blood laboratory parameters, viral load, and chest radiological findings, the causal hazard ratio of corticosteroid treatment for the viral clearance was 0.79 (95%CI, 0.48-1.30, p = 0.34). Conclusion: Short-course and low-dose applications of corticosteroids, when co-administered with intravenous immunoglobulin, in non-severe COVID-19 patients during the stage of clinical deterioration may possibly prevent disease progression, while having a negligible impact on the viral clearance.