Predicting model of mild and severe types of COVID-19 patients using Thymus CT radiomics model: A preliminary study.

OBJECTIVE: To predict COVID-19 severity by building a prediction model based on the clinical manifestations and radiomic features of the thymus in COVID-19 patients. METHOD: We retrospectively analyzed the clinical and radiological data from 217 confirmed cases of COVID-19 admitted to Xiangyang NO.1 People's Hospital and Jiangsu Hospital of Chinese Medicine from December 2019 to April 2022 (including 118 mild cases and 99 severe cases). The data were split into the training and test sets at a 7:3 ratio. The cases in the training set were compared in terms of clinical data and radiomic parameters of the lasso regression model. Several models for severity prediction were established based on the clinical and radiomic features of the COVID-19 patients. The DeLong test and decision curve analysis (DCA) were used to compare the performances of several models. Finally, the prediction results were verified on the test set. RESULT: For the training set, the univariate analysis showed that BMI, diarrhea, thymic steatosis, anorexia, headache, findings on the chest CT scan, platelets, LDH, AST and radiomic features of the thymus were significantly different between the two groups of patients (P < 0.05). The combination model based on the clinical and radiomic features of COVID-19 patients had the highest predictive value for COVID-19 severity [AUC: 0.967 (OR 0.0115, 95%CI: 0.925-0.989)] vs. the clinical feature-based model [AUC: 0.772 (OR 0.0387, 95%CI: 0.697-0.836), P < 0.05], laboratory-based model [AUC: 0.687 (OR 0.0423, 95%CI: 0.608-0.760), P < 0.05] and model based on CT radiomics [AUC: 0.895 (OR 0.0261, 95%CI: 0.835-0.938), P < 0.05]. DCA also confirmed the high clinical net benefits of the combination model. The nomogram drawn based on the combination model could help differentiate between the mild and severe cases of COVID-19 at an early stage. The predictions from different models were verified on the test set. CONCLUSION: Severe cases of COVID-19 had a higher level of thymic involution. The thymic differentiation in radiomic features was related to disease progression. The combination model based on the radiomic features of the thymus could better promote early clinical intervention of COVID-19 and increase the cure rate.

Polyphenylene sulfide fabric with improved antibacterial properties and comprehensive performances by new polybenzoxazine based coating for protection applications

Polyphenylene sulfide (PPS) fabric is promising for personal protective equipment (PPE) due to its excellent mechanical properties. However, issues such as a lack of antibacterial properties, limits its applications, especially today when COVID-19 is a pandemic. Herein, we synthesize a new benzoxazine monomer (BTE) with ester and triazole groups and demonstrate its usage as a coating for comprehensive high-performance PPS fabric. The polymerized BTE exhibits an antibacterial rate of 77.4%, and outstanding flame-retardant properties (The Heat release capacity (HRC) value is 62 J g−1 K−1 and the Total heat release (THR) value is 9.4 kJ g−1). The mechanical performance and acid resistance of BTE-coated PPS fabric show excellent improvement. The tensile strength of the modified system rise by approximately 24.7%, reaching 8.6 MPa, while the corresponding Young's modulus increases by 51.7%, reaching 36.7 MPa, respectively, and after 72 h of acid treatment, the tensile strength retention rate reaches 91.7%. Furthermore, the BTE-coated PPS fabric demonstrates a complete change in wettability (the hydrophilic surface of PPS becomes hydrophobic for BTE-coated PPS) with only a slight reduction in the air permeability (260 mm s−1 for PPS and 198 mm s−1 for BTE coated PPS), making it an appealing material for PPE and demonstrating the potential of related materials for harsh environment protective systems.

What Attributes Make United States Plastic Surgery Programs Desirable? Perspectives from Medical Students and Residents.

Background: Plastic surgery is a competitive specialty that attracts many qualified applicants. This study provides results of a survey conducted to identify the attributes that make integrated and independent plastic surgery residency programs in the United States most desirable. Medical students' preferences for virtual events during the 2020 to 2021 Match cycle were also investigated. Methods: An anonymous 7-question survey was deployed to plastic surgery residency program directors to forward to medical students and current residents during the 2021 to 2022 National Resident Matching Program cycle. Demographics and ranking of program attributes were collected in the survey, and data analysis consisted of both qualitative and quantitative results. Results: A total of 50 survey respondents from 28% of plastic surgery residency programs was received. The happiness and well-being of residents and training at their preferred geographical location were identified as the most desirable qualities of a program (P < 0.05). However, 82% of respondents opposed mandatory research (P = 0.002). There was a statistically significant larger proportion of students that highly valued faculty responsiveness to feedback over perceived program ranking (P < 0.05). In the context of COVID-19, virtual meet and greets, as well as resident happy hours, were rated most desirable (n = 35, 70%), followed by social media outreach (n = 23, 46%). Conclusions: Resident happiness and well-being, followed by preferred geographical location, were the most favorable program attributes. Plastic surgery residency programs may seek to better integrate these preferences within their curricula, as well as showcase them on social media, to attract high-quality applicants and optimize the training experience for matched residents.

Global Burden of Respiratory Diseases Attributable to Ambient Particulate Matter Pollution: Findings From the Global Burden of Disease Study 2019.

Background: Exposure to ambient particulate matter pollution (APMP) is a global health issue that directly affects the human respiratory system. Thus, we estimated the spatiotemporal trends in the burden of APMP-related respiratory diseases from 1990 to 2019. Methods: Based on the Global Burden of Disease Study 2019, data on the burden of APMP-related respiratory diseases were analyzed by age, sex, cause, and location. Joinpoint regression analysis was used to analyze the temporal trends in the burden of different respiratory diseases over the 30 years. Results: Globally, in 2019, APMP contributed the most to chronic obstructive pulmonary disease (COPD), with 695.1 thousand deaths and 15.4 million disability-adjusted life years (DALYs); however, the corresponding age-standardized death and DALY rates declined from 1990 to 2019. Similarly, although age-standardized death and DALY rates since 1990 decreased by 24% and 40%, respectively, lower respiratory infections (LRIs) still had the second highest number of deaths and DALYs attributable to APMP. This was followed by tracheal, bronchus, and lung (TBL) cancer, which showed increased age-standardized death and DALY rates during the past 30 years and reached 3.78 deaths per 100,000 persons and 84.22 DALYs per 100,000 persons in 2019. Among children aged < 5 years, LRIs had a huge burden attributable to APMP, whereas for older people, COPD was the leading cause of death and DALYs attributable to APMP. The APMP-related burdens of LRIs and COPD were relatively higher among countries with low and low-middle socio-demographic index (SDI), while countries with high-middle SDI showed the highest burden of TBL cancer attributable to APMP. Conclusions: APMP contributed substantially to the global burden of respiratory diseases, posing a significant threat to human health. Effective actions aimed at air pollution can potentially avoid an increase in the PM2.5-associated disease burden, especially in highly polluted areas.

Corrigendum: Construction of SARS-CoV-2 Virus-Like Particles by Mammalian Expression System.

[This corrects the article DOI: 10.3389/fbioe.2020.00862.].

Broad Anti-Viral Capacities of Lian-Hua-Qing-Wen Capsule and Jin-Hua-Qing-Gan Granule and Rational use Against COVID-19 Based on Literature Mining.

The novel coronavirus disease 2019 (COVID-19) has become a matter of international concern as the disease is spreading exponentially. Statistics showed that infected patients in China who received combined treatment of Traditional Chinese Medicine and modern medicine exhibited lower fatality rate and relatively better clinical outcomes. Both Lian-Hua-Qing-Wen Capsule (LHQWC) and Jin-Hua-Qing-Gan Granule (JHQGG) have been recommended by China Food and Drug Administration for the treatment of COVID-19 and have played a vital role in the prevention of a variety of viral infections. Here, we desired to analyze the broad-spectrum anti-viral capacities of LHQWC and JHQGG, and to compare their pharmacological functions for rational clinical applications. Based on literature mining, we found that both LHQWC and JHQGG were endowed with multiple antiviral activities by both targeting viral life cycle and regulating host immune responses and inflammation. In addition, from literature analyzed, JHQGG is more potent in modulating viral life cycle, whereas LHQWC exhibits better efficacies in regulating host anti-viral responses. When translating into clinical applications, oral administration of LHQWC could be more beneficial for patients with insufficient immune functions or for patients with alleviated symptoms after treatment with JHQGG.

Positive RT-PCR Test Results in 420 Patients Recovered From COVID-19 in Wuhan: An Observational Study.

OBJECTIVE: During the follow-up of patients recovered from coronavirus disease 2019 (COVID-19) in the quarantine and observation period, some of the cured patients showed positive results again. The recurrent positive RT-PCR test results drew widespread concern. We observed a certain number of cured COVID-19 patients with positive RT-PCR test results and try to analyze the factors that caused the phenomenon. METHODS: We conducted an observational study in COVID-19 patients discharged from 6 rehabilitation stations in Wuhan, China. All observed subjects met the criteria for hospital discharge and were in quarantine. Data regarding age, sex, body mass index (BMI), course of disease, comorbidity, smoking status and alcohol consumption, symptoms in and out of quarantine, and intervention were collected from the subjects' medical records and descriptively analyzed. The main outcome of this study was the RT-PCR test result of the observed subjects at the end of quarantine (negative or positive). Logistic regression analysis was used to identify the influencing factors related to recurrent positive RT-PCR test results. RESULTS: In this observational study, 420 observed subjects recovered from COVID-19 were included. The median age was 56 years, 63.6% of the subjects were above 50 years old, and 50.7% (213/420) were female. The most common comorbidities were hypertension [26.4% (111/420)], hyperlipidemia [10.7% (45/420)], and diabetes [10.5% (44/420)]. 54.8% (230/420) manifested one or more symptoms at the beginning of the observation period, the most common symptoms were cough [27.6% (116/420)], shortness of breath 23.8% (100/420)], and fatigue [16.2% (68/420)], with fever rare [2.6% (11/420)]. A total of 325 subjects were exposed to comprehensive intervention; 95 subjects were absence of intervention. The recurrence rate of positive RT-PCR test results with comprehensive intervention was 2.8% (9/325), and that with no intervention was 15.8% (15/95). The results of logistic regression analysis showed that after adjusted for factors such as age, sex, and comorbidity and found out that comprehensive intervention was correlated with the recurrent positive RT-PCR test results. There was appreciably less recurrence in the comprehensive intervention group. CONCLUSIONS: The factors related to positive RT-PCR test results in observed subjects recovered from COVID-19 were age, comorbidity, and comprehensive intervention, among which comprehensive intervention might be a protective factor. CLINICAL TRIAL REGISTRATION: Chictr.org.cn, identifier ChiCTR2000030747.

Construction of SARS-CoV-2 Virus-Like Particles by Mammalian Expression System.

Virus-like particle (VLP) is a self-assembled nanostructure incorporating key viral structural proteins. VLP resembles molecular and morphological features of authentic viruses but is non-infectious and non-replicating due to lack of genetic materials. Successful applications of VLP has been shown in vaccinological and virological research. As an accessibly safe and relevant substitute of naturally pathogenic viruses, the construction of SARS-CoV-2 VLPs is much in demand in the ongoing fight against 2019 Coronavirus disease (COVID-19) pandemics. In the current study, using mammalian expression system, which is advantageous in maintaining correct protein glycosylation patterns, we efficiently constructed SARS-CoV-2 VLPs. We showed that among four SARS-CoV-2 structural proteins, expression of membrane protein (M) and small envelope protein (E) are essential for efficient formation and release of SARS-CoV-2 VLPs. Moreover, the corona-like structure presented in SARS-CoV-2 VLPs from Vero E6 cells is more stable and unified, as compared to those from HEK-293T cells. Our data demonstrate that SARS-CoV-2 VLPs possess molecular and morphological properties of native virion particles, which endow such VLPs with a promising vaccine candidate and a powerful tool for the research of SARS-CoV-2.

Clinical Features and Histopathological Changes of Skeletal Muscle in Patients with COVID-19: Two Case reports (preprint)

BackgroundTo the best of our knowledge, muscle soreness is a common manifestation for the coronavirus disease-19 (COVID-19) patients, but the mechanism of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) injury to skeletal muscle remains unclear, there has been no publication focused on muscle involvement in COVID-19 patients.Case presentationWe present the case of two Chinese men with COVID-19, whose common symptoms were fatigue and muscle soreness. They went through different treatments, patient 1, 81-year-old, eventually died of multi-organ failure, and patient 2, 53-year-old, underwent amputation of the mid-lower section of left thigh. Laboratory tests in both patients showed abnormal biochemical parameters associated with skeletal muscle injury. We obtained skeletal muscle samples from these two patients, one from postmortem biopsy of gastrocnemius muscle and the other from a resected left lower limb due to thrombosis. The pathological findings in patient 1 were mainly scattered atrophic muscles, while fiber necrosis and minor inflammation were identified in patient 2, and the mild infiltrations were confirmed by CD68 and LCA staining to be predominantly macrophages and lymphocytes.ConclusionsWe report the clinical and laboratory features together with histopathological findings in skeletal muscle tissues from two COVID-19 cases and speculate that the SARS-CoV-2 may cause skeletal muscle injury. Due to the particularity of individual differences in case reports, the background of chronic neuromuscular disease in patient 1 and a minimal compartment syndrome caused by thrombosis in patient 2 need to be excluded prior to the conclusion that the skeletal muscles have been involved in COVID-19.

CT Manifestations of Novel Coronavirus Pneumonia: A Case Report

Background: Since December 2019, the outbreak of the novel coronavirus has impacted nearly >90,000 people in more than 75 countries. In this case report, we aim to define the chest computed tomography findings of 2019-novel coronavirus associated with pneumonia and its successful resolution after treatment. Case Report: A fifty-year-old female patient, who is a businesswoman, presented with chief complaints of "fever for one week, diarrhea, anorexia, and asthenia." Initially, she was given Tamiflu. The influenza A virus serology was negative. Three days later, levofloxacin was started because the patient's symptoms did not improve. The novel coronavirus nucleic acid test was negative. It was noted that before the onset of the disease, the patient went to Wuhan on a business trip. Despite the given treatment, her body temperature rose to 39.2°C and she was referred to our clinic for further evaluation. Then, chest computed tomography was performed and showed bilateral multifocal ground glass opacities with consolidation which suggested viral pneumonia as a differential diagnosis, and the subsequent 2019-novel coronavirus pneumonia nucleic acid test was positive. Conclusion: Chest computed tomography offers fast and convenient evaluation of patients with suspected 2019-novel coronavirus pneumonia.