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Objective: To summarize and compare the main traditional Chinese medicineTCMsyndromes of Delta and Omicron variants of severe acute respiratory syndrome coronavirus 2SARS-CoV-2 carriers to provide references for the syndrome evolution and syndrome differentiation of SARS-CoV-2 infection. Method(s):The TCM medical records of imported and local cases of infection with Delta and Omicron variants of SARS-CoV-2 in Changsha since September 23,2021 to March 27,2022 were collected,including 18 Delta variant cases and 36 Omicron variant cases. Their TCM diagnosis information and TCM pathogenesis were analyzed and compared. Result(s): The common manifestations in Delta variant cases were cough,fever,chest distress/shortness of breath,sore muscles,nausea,dry mouth,dry or sore throat,thick and greasy tongue coating,and rapid and slippery pulse. The predominant pathogenesis was dampness-heat in the upper-energizer and heat stagnation in the lesser Yang combined with dampness. The occurrence of chest distress/shortness of breath,greasy tongue coating,slippery pulse,and the proportion of dampness-heat in the upper-energizer syndrome were higher in Delta variant cases than in Omicron variant cases P<0.05. The common manifestations in Omicron variant cases were itchy and sore throat,nasal congestion,running nose,fever,mild aversion to cold,dry mouth,dizziness,slightly reddish tongue with thin white coating,and rapid or wiry pulse. The predominant pathogenesis was wind-dryness invading defensive exterior,and heat stagnation in the lesser Yang. The occurrence of white-coated tongue and the proportion of wind-dryness invading defensive exterior syndrome were higher in Omicron variant cases than in Delta variant casesP<0.05. Conclusion(s): There are certain differences in TCM syndromes and the corresponding pathogenesis between Delta variant and Omicron variant cases in Changsha,Hunan. The Delta variant of SARS-COV-2 tends to induce dampness-heat syndrome, whereas Omicron variant infection tends to elicit wind-dampness syndrome,which is expected to provide a reference for the pathogenesis evolution of SARS-COV-2 infection.Copyright © 2022, China Academy of Chinese Medical Sciences Institute of Chinese Materia Medica. All rights reserved.
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BackgroundUpadacitinib (UPA) is an oral JAK inhibitor (JAKi) approved for the treatment of RA. JAKi have been associated with an elevated risk of herpes zoster (HZ) in patients (pts) with RA. The adjuvanted recombinant zoster vaccine (RZV, Shingrix) was shown to be well-tolerated and effective in preventing HZ in adults aged ≥ 50 years.[1] The efficacy and safety of RZV have not been studied in pts with RA while on UPA in combination with MTX.ObjectivesTo assess the immunogenicity of RZV in pts with RA receiving UPA 15 mg once daily (QD) with background MTX.MethodsEligible adults aged ≥ 50 years with RA enrolled in the ongoing SELECT-COMPARE phase 3 trial (NCT02629159) received two RZV doses, administered at the baseline and week (wk) 12 visits. Pts should have been on stable doses of UPA 15 mg QD and background MTX for ≥ 8 wks before the first vaccination and ≥ 4 wks after the second vaccination. Antibody titers were collected pre-vaccination (baseline), 4 wks post-dose 1 vaccination (wk 4), and 4 wks post-dose 2 vaccination (wk 16). The primary endpoint was the proportion of pts with a humoral response to RZV defined as ≥ 4-fold increase in pre-vaccination concentration of anti-glycoprotein E [gE] titer levels at wk 16. Secondary endpoints included humoral response to RZV at wk 4 and the geometric mean fold rise (GMFR) in anti-gE antibody levels at wks 4 and 16. Cell-mediated immunogenicity to RZV was an exploratory endpoint evaluated by the frequencies of gE-specific CD4+ [2+] T cells (CD4+ T cells expressing ≥ 2 of 4 activation markers: IFN-γ, IL-2, TNF-α, and CD40 ligand) measured by flow cytometry at wks 4 and 16 in a sub-cohort of pts.ResultsOf the 95 pts who received ≥ 1 RZV dose, 93 (98%) received both RZV doses. Pts had a mean (standard deviation) age of 62.4 (7.5) years. The median (range) disease duration was 11.7 (4.9–41.6) years and duration of UPA exposure was 3.9 (2.9–5.8) years. At baseline, all but 2 pts were receiving concomitant MTX and half (50%) were taking an oral corticosteroid (CS) at a median daily dose of 5.0 mg. One pt discontinued UPA by wk 16. Blood samples were available from 90/93 pts. Satisfactory humoral responses to RZV occurred in 64% (95% confidence interval [CI]: 55–74) of pts at wk 4 and 88% (81–95) at wk 16 (Figure 1). Age (50–< 65 years: 85% [95% CI: 75–94];≥ 65 years: 94% [85–100]) and concomitant CS (yes: 87% [77–97];no: 89% [80–98]) use at baseline did not affect humoral responses at wk 16. GMFR in anti-gE antibody levels compared with baseline values were observed at wks 4 (10.2 [95% CI: 7.3–14.3]) and 16 (22.6 [15.9–32.2]). Among the sub-cohort of pts, nearly two-thirds achieved a cell-mediated immune response to RZV (wk 4: n = 21/34, 62% [95% CI: 45–78];wk 16: n = 25/38;66% [51–81]). Within 30 days post-vaccination of either RZV dose, no serious adverse events (AEs) (Table 1) or HZ were reported. AEs that were possibly related to RZV were reported in 17% of pts. One death occurred more than 30 days after wk 16 due to COVID-19 pneumonia.ConclusionMore than three-quarters (88%) of pts with RA receiving UPA 15 mg QD on background MTX achieved a satisfactory humoral response to RZV at wk 16. In a subgroup of pts, two-thirds (66%) achieved a cell-mediated immune response to RZV at wk 16. Age and concomitant CS use did not negatively affect RZV response.Reference[1]Syed YY. Drugs Aging. 2018;35:1031–40.Table 1. Safety Results Through 30-Days Post-RZV Vaccination in UPA-Treated PatientsEvent, n (%)UPA 15 mg QD (N = 95)Any AE38 (40%)AE with reasonable possibility of being related to UPAa13 (14%)AE with reasonable possibility of being related to RZVa16 (17%)Severe AEb1 (1%)Serious AE0AE leading to discontinuation of UPA0Death0AE, adverse event;QD, once daily;RZV, adjuvanted recombinant zoster vaccine;UPA, upadacitinib.aAs assessed by the investigator.bHypersensitivity.AcknowledgementsAbbVie funded this study and participated in the study design, research, analysis, data collection, interpretation of data, review, and approval of the . All authors had access to relevant data and participated in the drafting, review, and approval of this publication. No honoraria or payments were made for authorship. Medical writing support was provided by Julia Zolotarjova, MSc, MWC, of AbbVie.Disclosure of InterestsKevin Winthrop Consultant of: AbbVie, AstraZeneca, BMS, Eli Lilly, Galapagos, Gilead, GSK, Novartis, Pfizer, Regeneron, Roche, Sanofi, and UCB, Grant/research support from: AbbVie, AstraZeneca, BMS, Eli Lilly, Galapagos, Gilead, GSK, Novartis, Pfizer, Regeneron, Roche, Sanofi, and UCB, Justin Klaff Shareholder of: AbbVie, Employee of: AbbVie, Yanxi Liu Shareholder of: AbbVie, Employee of: AbbVie, CONRADO GARCIA GARCIA: None declared, Eduardo Mysler Speakers bureau: AbbVie, Amgen, AstraZeneca, BMS, Eli Lilly, GlaxoSmithKline, Pfizer, Roche, and Sandoz, Consultant of: AbbVie, Amgen, AstraZeneca, BMS, Eli Lilly, GlaxoSmithKline, Pfizer, Roche, and Sandoz, Alvin F. Wells Consultant of: AbbVie, Amgen, BMS, Eli Lilly, Novartis, Pfizer, and Sanofi, Xianwei Bu Shareholder of: AbbVie, Employee of: AbbVie, Nasser Khan Shareholder of: AbbVie, Employee of: AbbVie, Michael Chen Shareholder of: AbbVie, Employee of: AbbVie, Heidi Camp Shareholder of: AbbVie, Employee of: AbbVie, Anthony Cunningham Consultant of: GSK, Merck Sharp & Dohme, and BioCSL/Sequirus.
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During the COVID-19 pandemic, online learning provides an essential means for teaching in higher education to avoid close human contact. Nevertheless, there is a general lack of understanding from current research regarding how to select appropriate pedagogies and technological tools to foster quality online interaction and discussion. As such, the chapter explores the potential of a knowledge building pedagogy that is supported by a technological platform called Knowledge Forum to enable more effective online interaction and knowledge construction in a higher education context. Participants were 38 teacher-education students engaging in groups for 18 weeks in a semester to design a teaching lesson via online discussion. Data were mainly from students' online learning and discussion activity. The main findings show that knowledge building pedagogy and technology was effective in creating a supporting learning environment for students (1) to engage in not only within-group, but also beyond-group interaction and discussion;(2) to work creatively with ideas for completing quality teaching lessons as group projects;and (3) to develop reflective peer-assessment and feedback capacity. Some implications for higher education teaching were also discussed. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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OBJECTIVE: To explore potential categories of parental social support for young parents under the coronavirus disease 2019 (COVID-19) epidemic, and to examine correlations of different types of parents' social support with parental burnout. METHOD(S): In April 2020, we conducted an online voluntary survey among young parents across China with scales and a self-designed questionnaire. The latent profile analysis method was used to analyze parents' received social support and perceived social support. The social support categories were taken as independent variables and parental burnout as dependent variables, and multiple regression analysis was carried out to explore the relationship between received social support, perceived social support and parental burnout. Finally, the moderating effect of resilience between social support groups and parental burnout was discussed. RESULT(S): The results of latent profile analysis revealed three potential types of received social support, namely isolate, normal, and multi-support and the proportions of the respondents with the three profiles were 14.1%, 78.0%, and 7.9%. Four potential types of perceived social support, namely, indigent, medium, affluent and divergent and the proportions of the respondents with the four profiles were 13.7%, 29.6%, 25.3%, and 31.3%. Among them, the parents with divergent perceived social support had more perception of social support from the couple, family and relatives, but less perception of social support from net-friend, social organizations and the government. Regression analysis showed that there was no statistically significant correlation between different profiles of received social support and parental burnout, and among the groups of perceived social support, there was a statistically significant correlation between indigent and divergent types of social support and parental burnout. The divergent parents had lower levels of parental burnout compared with indigent (beta=-0.120, P=0.003). Also, resilience moderated the effect of divergent perceived social support and parental burnout. Compared with the parents with low resilience, the parents with high resilience perceived divergent social support with lower parenting burnout. CONCLUSION(S): There are prominent latent types of received social support and perceived social support under epidemic. People with divergent perceived social support (more perceived supports from partner, family and friends) are prone to have a relatively lower risk of parental burnout. Parents with higher resilience will be more sensitive to the support of close acquaintances, and can better resist parental burnout.
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Urban human mobility prediction is forecasting how people move in cities. It is crucial for many smart city applications including route optimization, preparing for dramatic shifts in modes of transportation, or mitigating the epidemic spread of viruses such as COVID-19. Previous research propose the maximum predictability to derive the theoretical limits of accuracy that any predictive algorithm could achieve on predicting urban human mobility. However, existing maximum predictability only considers the sequential patterns of human movements and neglects the contextual information such as the time or the types of places that people visit, which plays an important role in predicting one's next location. In this paper, we propose new theoretical limits of predictability, namely Context-Transition Predictability, which not only captures the sequential patterns of human mobility, but also considers the contextual information of human behavior. We compare our Context-Transition Predictability with other kinds of predictability and find that it is larger than these existing ones. We also show that our proposed Context-Transition Predictability provides us a better guidance on which predictive algorithm to be used for forecasting the next location when considering the contextual information. Source code is at https://github.com/zcfinal/ContextTransitionPredictability.
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Objective To analyze the epidemiological characteristics of COVID-19 cluster epidemic in Huizhou from January to February in 2020, and we provide experience and reference for the prevention and control of cluster epidemic. Methods Descriptive epidemiology was used to analyze the clusters of COVID-19 in Huizhou city. Results From January to February in 2020, a total of 19 COVID-19 cluster outbreaks were reported in Huizhou. The most common cluster outbreaks were in Huidong county (8 cases), Boluo county (3 cases) and Huiyang district (3 cases). There were 59 cases involved in 19 outbreaks, among which 46 were confirmed cases, and 13 were asymptomatic infected. The sex ratio of male to female was 0.84: 1, the age was 1-85 years old. The 19 cases of outbreaks were all caused by imported cases, among which 13 cases were imported from Wuhan (68.4%), 3 cases were imported from Hubei province except Wuhan (15.8%), and 3 cases were imported from other provinces and cities (15.8%). There were 13 cases (68.4%) in the first generation, and 6 cases (31.6%) in the second generation. Events exposed place were variety, including 3 (15.8%) simple family exposure, 13 (68.4%) joint exposure, exposure family, 1 (5.26%) of the joint exposure, family exposure, family dinners, 1 (5.26%) of the joint exposure, family exposure, exposure (hotel) exposed in public places, 1 (5.26%) of the collective unit (workplace) exposure. Conclusion All the COVID - 19 cluster outbreaks in Huizhou city were caused by imported cases, most of which occurred in the family and were caused by families living together and eating together. As the number of people returning to work, production and school increases, various prevention and control measures should be implemented in key areas, key populations and key places to prevent the outbreak from rebounding.Copyright © China Tropical Medicine 2021.
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In this paper, we investigate the COVID-19 pandemic in Canada and evaluate the Canadian government policies on controlling COVID-19 outbreaks. The first case of COVID-19 was reported in Ontario on 25 January 2020. Since then, there have been over million cases by now. During this time period, the federal, provincial and local governments have implemented regulations and policies in order to control the pandemic. To evaluate these government policies, which may be done by analysing the infection rate, infection period and reproductive number of COVID-19, we approach the problem by introducing an extended susceptible-exposed-infectious-removed (SEIR) model and conducting the model inference by using the iterated filter ensemble adjustment Kalman filter (IF-EAKF) algorithm. We first divide the time period into phases according to the policy intensities in each province by segmenting the time period from 4 March 2020 to 31 October 2020 into three time phases: the exploding phase, the strict policy implementation phase, and the provincial reopening phase. We then use IF-EAKF algorithm to obtain the estimates of the model parameters. We show that the infection rate in the second phase is lower than that in both first and third phases. We also discuss the number of new COVID-19 cases under different policy intensities and different policy durations in the third wave of the pandemic. © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
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Viral RNA in fine (< 5 µm) aerosols from 13 patients infected by the SARS-CoV-2 virus were obtained using the Gesundheit-II (G-II) equipment which collects respiratory emissions. The collection was performed in isolation wards of the National Centre for Infectious Diseases of Singapore under an approved protocol. The patients breathed normally for 30 minutes, talk, and sing for 15 minutes each (with 30 minutes rest in between activity) into a specially designed aerosol collector in two size fractions. The coarse fraction (> 5 µm) and the fine aerosols (< 5 µm) are subsequently collected and subjected to PCR analysis for their viral load quantification. Viral RNA detected from 59% of the patients showed that patients earlier in illness were more likely to emit detectable RNA, and loads differed significantly between breathing, talking, and singing. © 2022 17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022. All rights reserved.
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An epidemiological investigation was conducted on a cluster epidemic of COVID-19 in the vaccinated population in Beijing in 2022, and serum samples were collected from 21 infected cases and 61 close contacts (including 20 cases with positive nucleic acid in the isolation observation period). The results of antibody detection showed that the IgM antibody of two infected persons was positive, and the IgG antibody positive rates of patients who were converted, not converted to positive and infected persons were 36.84% (7/19), 63.41% (26/41) and 71.43% (15/21), respectively. About 98.78% of patients had been vaccinated with the SARS-CoV-2 inactivated vaccine. The positive rate of IgG antibody in patients immunized with three doses of vaccine was 86.00% (43/50), which was higher than that in patients with one or two doses [16.12% (5/31)]. The antibody level of M (Q1, Q3) in patients immunized with three doses was 4.255 (2.303, 7.0375), which was higher than that in patients with one or two doses [0.500 (0.500, 0.500)] (all P values<0.001). The antibody level of patients who were vaccinated less than three months [7.335 (1.909, 7.858)] was higher than that of patients vaccinated more than three months after the last vaccination [2.125 (0.500, 4.418)] (P=0.007). The positive rate and level of IgG antibody in patients who were converted to positive after three doses were 77.78% (7/9) and 4.207 (2.216, 7.099), respectively, which were higher than those in patients who were converted after one or two doses [0 and 0.500 (0.500, 0.500)] (all P values<0.05).
Subject(s)
COVID-19 , Humans , SARS-CoV-2 , Disease Outbreaks , COVID-19 Vaccines , Immunoglobulin G , Antibodies, ViralABSTRACT
Background The coronavirus disease 2019 (COVID-19) cases continue to rise, and the demand for medical treatment and resources in healthcare systems surges. Assessing the viral shedding time (VST) of patients with COVID-19 can facilitate clinical decision making. Although some studies have been conducted on the factors affecting the VST of severe acute respiratory syndrome coronavirus 2 (SARS-COV-2), few prediction models are currently available. Methods This retrospective study included the consecutive patients with COVID-19 admitted to Xi'an Chest Hospital in Shaanxi, China, for treatment between December 19, 2021 and February 5, 2022. The clinical data of the patients were extracted from their electronic medical records. Combining significant factors affecting the VST, a nomogram was developed to predict the VST of the SARS-CoV-2 Delta variant in patients with COVID-19. Results We included 332 patients in this study. The average VST was 21 d. VST was significantly prolonged in patients with severe clinical symptoms, sore throat, old age, long time from onset to diagnosis, and an abnormal white blood cell count. Consequently, we developed a nomogram prediction model using these 5 variables. The concordance index (C-index) of this nomogram was 0.762, and after internal validation using bootstrapping (1000 resamples), the adjusted C-index was 0.762. The area under the nomogram's receiver operator characteristic curve showed good discriminative ability (0.965). The calibration curve showed high consistency. The VST was prolonged in the group with lower model fitting scores according to the Kaplan-Meier curve (χ2=286, log-rank P < 0.001). Conclusions We developed a nomogram for predicting VST based on 5 easily accessible factors. It can effectively estimate the appropriate isolation period, control viral transmission, and optimize clinical strategies. © Wolters Kluwer Health, Inc. All rights reserved.
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Background: Immune responses to SARS-CoV-2 vaccines in people living with HIV (PLWH) have been the focus of several recent studies. As the gut microbiome can influence vaccine immunogenicity, in this study we are the first to investigate whether the baseline gut microbiota can predict immune responses to the BNT162b2 SARS-CoV-2 vaccine in people living with HIV (PLWH) and healthy controls (HC). Method(s): Fecal samples were collected from PLWH (n=68) and HC (n=75) at baseline, prior to the first vaccine dose, to extract DNA for 16S rRNA sequencing. The individuals were part of the COVAXID Clinical trial, where humoral and cellular responses to SARS-CoV-2 vaccine were evaluated on day 35 after the first dose. Comprehensive bioinformatic tools were used for bacterial identification to further reveal the associations between gut microbiota and SARS-CoV-2 antibody, spike CD4+ T cell responses, and clinical parameters such as age, gender, CD4/CD8 ratio, and length of antiretroviral (ART) treatment. Result(s): At day 35 post vaccination, HC showed significantly higher spike IgG titers than PLWH (p=0.0001). Interestingly, both phylogenetic and alpha-diversity were negatively correlated with antibody titers, in the whole cohort and within groups. Similarly, individuals with low alpha-diversity had higher levels of spike specific CD4+T-cell responses. Agathobacter, Lactobacillus, Bacteroides, and Lachnospira were positively correlated with both antibody levels and spike-specific CD4+ T-cell responses while Methanobrevibacter, Marvinbryantia, Cloacibacillus, and Succinivibrio have a negative one. Within the PLWH group, the gut microbiota taxa associated with CD4+ counts, such as Lachnospira (p=0.002), Oscillibacter (p=0.019) and Flavonifractor (p=0.017), were found to be positively correlated with spike IgG levels. Additionally, the length of ART treatment and CD4/CD8 ratio displayed a positive association with bacterial diversity. Notably, different microbiome profiles and immune status in PLWH, affect their immune responses to vaccination. Conclusion(s): Our results show potential associations between gut microbiota diversity and spike IgG responses after COVID-19 vaccination. These findings were consistent in the whole cohort, albeit group differences between the microbiome compositions in PLWH and HC were observed. Based on our findings, we propose that microbiome modulation could optimize immunogenicity to SARS-Cov-2 vaccines.
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Infections caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), influenza A (Flu A), and influenza B (Flu B) show similar clinical symptoms, such as cough, fever, and dyspnea, but patients infected by these viruses should be treated differently. The rapid and accurate diagnosis of infections caused by SARS-CoV-2, Flu A or Flu B is critical during the influenza season. Herein, we synthesized core-shell magnetic particles (MNPs) with excellent antifouling properties and applied them in the MNP-based immunochromatographic test (MICT) for simultaneous detection of SARS-CoV-2, Flu A, and Flu B nucleocapsid(N) proteins in 20 min. Two kinds of carboxyl -modified MNPs, MNP@pMBAA and MNP@Si-SA, were prepared and evaluated as probes in the MICT. Among them, the MNP@ pMBAA showed lower nonspecific adsorption of proteins and low background noise in the application in MICTs. Particularly, the MNP@pMBAA50 bead-based MICT strip exhibited the highest signal-to-noise ratio for SARS-CoV-2 N protein detection with a limit of detection (LOD) of 0.072 ng/mL. Moreover, the proposed MICT strip demonstrated a minimal cross-reactivity and a broad linear dynamic detection range under a magnetic assay reader in the simultaneous detection of SARS-CoV-2, Flu A, and Flu B N proteins with relative LOD values of 0.0086, 0.012, and 0.018 ng/mL, respectively. The results demonstrated that the synthesized MNPs showed great potential for use as MICT probes for sensitive and multiplex detection of biomarkers in the development of point-of-care testing systems.
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With the outbreak of COVID-19, disinfection protection has become a necessary measure to prevent infection. As a new type of disinfectant, potassium peroxymonosulfate compound salt (PMS) has the advantages of good bactericidal effect, non-toxicity, high safety and stability. However, the current PMS products with irregular particle shapes lead to poor flowability, high hygroscopicity, poor stability of reactive oxygen species (ROS) and serious caking problems. In this work, an agglomeration-dissolution mechanism was designed to prepare spherical PMS particles with large size (>300 mm) and high sphericity (up to 90%), effectively addressing the above problems. Shaping (dissolution and abrasion) is the key to improving sphericity, which is mainly controlled by the design of the heating mode, residence time and stirring rate. Compared with the irregular PMS particles, the large spherical particles present better flowability (angle of repose decreased by 35.80%, Carr's index decreased by 64.29%, Hausner's ratio decreased by 19.14%), lower hygroscopicity (decreased by 38.0%), lower caking ratio (decreased by 84.50%), and higher stability (the monthly loss of ROS was reduced by 61.68%). The agglomeration -dissolution mechanism demonstrates the crystallization, agglomeration, dissolution and abrasion pro-cess of inorganic salt crystals, providing an opportunity to prepare high-end inorganic crystal materials with high-quality morphologies.(c) 2022 Chinese Society of Particuology and Institute of Process Engineering, Chinese Academy of Sciences. Published by Elsevier B.V. All rights reserved.
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Background: Reliable methods to identify anaplastic lymphoma kinase (ALK) fusions are critical to matching patients to ALK tyrosine kinase inhibitors (TKIs) therapy, on or off trial. Various methods including FISH have been used, but immunohistochemistry (IHC) and next-generation sequencing (NGS) are most commonly employed. Evaluating the concordance of IHC and NGS is key, particularly in non-lung cancers where data is sparse. Method(s): NGS+ (MSK-IMPACT DNA hybrid capture NGS and/or RNA anchored multiplex PCR) and/or IHC+ (clone: D5F3) patients with cancers of any histology were identified as ALK+. ALK IHC was scored as negative (0), equivocal (e: 1+, 2+) or positive (3). Concordance of ALK detection (number of NGS+ and IHC+/total number of patients with NGS and IHC) was calculated. For patients with metastatic disease treated with any ALK TKI in the first-line (1L) setting, progression-free survival (PFS) was reported. Result(s): 347 ALK+ solid tumor patients were identified. As expected, the majority (96%, n=336) had lung cancer, however, 11 patients with 11 unique non-lung cancer histologies were found (3 gastrointestinal, 2 gynecologic, 1 breast, 1 thyroid, 1 primary brain tumor, 1 DLBCL, 1 PEComa, and 1 CUP). 57% had EML4-ALK fusions;36 non-EML4 ALK rearrangements were identified, including four novel fusions (PEKHA7-ALK, ZFPM2-ALK, TRIM24-ALK, ALK-MYO3B). ALK was evaluated by IHC alone in 83 patients (23.9%). The concordance rate between NGS and IHC was 85%. Among discordant cases, 11% (n=28) were IHC+/NGS-, 24% (n=63) were IHCe/NGS-, 3% (n=8) were IHCe/NGS+, and 0.4% (n=1) was IHC-/NGS+. The most frequent ALK TKIs were alectinib (n= 87, 58%) and crizotinib (n= 56, 38%). PFS on 1L ALK TKIs for patients with IHC+/NGS+ (n=134), IHC-/NGS+(n=1), IHC+/NGS- (n=8), IHCe/NGS+ (n=4), IHCe/NGS- (n=1) was 26 months, 26 months, 39 months, 41 months, 9 months respectively. Conclusion(s): In a population including multiple tumor types, NGS and IHC were highly concordant in ALK fusion detection. ALK TKI benefit may be observed in cases with discordant testing, in which only one assay detects a putative ALK fusion. Legal entity responsible for the study: The authors. Funding(s): NIH Cancer Center grant: P30CA008748. Disclosure: M.G. Kris: Financial Interests, Personal, Research Grant: Boehringer Ingelheim, National Lung Cancer Partnership, Pfizer, PUMA, Stand up to Cancer;Financial Interests, Personal, Advisory Role: Ariad, AstraZeneca, Bind Bioscience, Boehringer Ingelheim, Chug Pharma, Clovis, Covidien, Daiichi Sankyo, Esanex, Genentech;Financial Interests, Personal, Invited Speaker: Boehringer Ingelheim, Novartis, Millenium, Pfizer, Roche. A. Drilon: Financial Interests, Personal, Advisory Board: Ignyta/Genentech/Roche, Loxo/Bayer/Lilly, Takeda/Ariad/Millennium, TP Therapeutics, AstraZeneca, Pfizer, Blueprint Medicines, Helsinn, BeiGene, BerGenBio, Hengrui Therapeutics, Exelixis, Tyra Biosciences, Verastem Oncology, MORE Health, AbbVie, 14ner/Elevation Oncology, Remedica Ltd, ArcherDX, Monopteros, Novartis, EMD Serono, Melendi, Liberum, Repare RX, Amgen, Janssen, EcoR1, Monte Rosa;Financial Interests, Personal, Other, CME: Medscape, Onclive, PeerVoice, Physicians Education Resources, Targeted Oncology, Research to Practice, PeerView Institute, Paradigm Medical Communications, WebMD, MJH Life Sciences, Med Learning, Imedex, Answers in CME, Medscape, Clinical Care Options, AiCME;Financial Interests, Personal, Other, CME, Consulting: Axis;Financial Interests, Personal, Other, Consulting: Nuvalent, Merus, EPG Health, mBrace, Harborside Nexus, Ology, TouchIME, Entos, Treeline Bio, Prelude, Applied Pharmaceutical Science, Inc;Financial Interests, Personal, Invited Speaker: Chugai Pharmaceutical, Remedica Ltd, RV More;Financial Interests, Personal, Stocks/Shares: Treeline Biosciences;Financial Interests, Personal, Royalties: Wolters Kluwer;Financial Interests, Personal, Other, stocks: mBrace;Financial Interests, Institutional, Funding, Research funding: Pfizer, Exelixis, GlaxoSmithKline, Teva, Taiho, PharmaMar;Finan ial Interests, Personal, Funding, Research: Foundation Medicine;Non-Financial Interests, Personal, Member: ASCO, AACR, IASLC;Other, Personal, Other, Food/Beverage: Merck, PUMA, Merus;Other, Personal, Other, Other: Boehringer Ingelheim. All other authors have declared no conflicts of interest.Copyright © 2023 European Society for Medical Oncology
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COVID-19 pandemic has been impacting people's everyday life for more than two years. With the fast spreading of online communication and social media platforms, the number of fake news related to COVID-19 is in a rapid growth and propagates misleading information to the public. To tackle this challenge and stop the spreading of fake news, this project proposes to build an online software detector specifically for COVID-19 news to classify whether the news is trustworthy. Specifically, as it is difficult to train a generic model for all domains, a base model is developed and fine-tuned to adapt the specific domain context. In addition, a data collection mechanism is developed to get latest COVID-19 news data and to keep the model fresh. We then conducted performance comparisons among different models using traditional machine learning techniques, ensemble machine learning, and the state-of-the-art deep learning mechanism. The most effective model is deployed to our online website for COVID-19 related fake news detection. © 2023 IEEE.
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With the economic downward pressure increasing and the COVID-19 spreading, avoiding the corporate debt default risk is a basic requirement for achieving high-quality economic development in China. Can FinTech empower traditional finance and contribute to the healthy development? We explore the impact of FinTech on corporate debt default risk. The findings suggest that FinTech reduces the corporate debt default risk. And the impact is more pronounced in non-SOEs and in firms with small-scale and in the growth and maturity stages. Further analysis shows that financial supervision plays a role in strengthening the negative impact of FinTech on the corporate debt default risk. Therefore, FinTech development should be actively promoted and corresponding regulatory measures should be formulated, then the finance can better serve the real economy and achieve high-quality development in China. © 2023 Elsevier B.V.
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Infections caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), influenza A (Flu A), and influenza B (Flu B) show similar clinical symptoms, such as cough, fever, and dyspnea, but patients infected by these viruses should be treated differently. The rapid and accurate diagnosis of infections caused by SARS-CoV-2, Flu A or Flu B is critical during the influenza season. Herein, we synthesized core-shell magnetic particles (MNPs) with excellent antifouling properties and applied them in the MNP-based immunochromatographic test (MICT) for simultaneous detection of SARS-CoV-2, Flu A, and Flu B nucleocapsid(N) proteins in 20 min. Two kinds of carboxyl-modified MNPs, MNP@pMBAA and MNP@Si-SA, were prepared and evaluated as probes in the MICT. Among them, the MNP@pMBAA showed lower nonspecific adsorption of proteins and low background noise in the application in MICTs. Particularly, the MNP@pMBAA50 bead-based MICT strip exhibited the highest signal-to-noise ratio for SARS-CoV-2 N protein detection with a limit of detection (LOD) of 0.072 ng/mL. Moreover, the proposed MICT strip demonstrated a minimal cross-reactivity and a broad linear dynamic detection range under a magnetic assay reader in the simultaneous detection of SARS-CoV-2, Flu A, and Flu B N proteins with relative LOD values of 0.0086, 0.012, and 0.018 ng/mL, respectively. The results demonstrated that the synthesized MNPs showed great potential for use as MICT probes for sensitive and multiplex detection of biomarkers in the development of point-of-care testing systems. © 2023 American Chemical Society.