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2.
Canadian Respiratory Journal ; 2022:5460400, 2022.
Article in English | MEDLINE | ID: covidwho-2020512

ABSTRACT

Objectives: Viral load is important when evaluating viral transmission potential, involving the use of a polymerase chain reaction (PCR) cycle threshold (Ct) value. We aimed to analyze the PCR Ct values of respiratory tract samples taken from patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant strains to evaluate these strains' viral dynamics. Methods: This study comprised 361 patients. The Ct values of SARS-CoV-2-related respiratory samples were compared between symptomatic and asymptomatic patients. Results: The median (25th percentile and 75th percentile) nasopharynx and oropharynx SARS-CoV-2 Ct values were 30.5 (24.5-35.0) and 34.5 (30.0-37.0) in the symptomatic group, respectively, and 27.8 (23.4-34.5) and 33.5 (26.0-35.0) in the asymptomatic group, respectively, without significance. In the symptomatic group, subgroup analyses according to age showed the mean nasal Ct value for patients aged >18 years was 29.0 (23.5-34.5), which was significantly lower than that of patients aged 0-4 years and 5-13 years (36.0 (30.5-38.0) and 34.5 (31.0-39.0), respectively). The nasal Ct value for asymptomatic patients aged >18 years was 25.5 (20.9-28.4), which was significantly lower than of patients aged 5-13 years (34.5 (25.6-36.4)). Conclusion: Our findings suggest that the viral loads of asymptomatic and symptomatic patients did not differ significantly. However, adults infected with SARS-CoV-2 had higher nasal viral loads that those of young children.

3.
Frontiers in public health ; 10:1001246, 2022.
Article in English | MEDLINE | ID: covidwho-2009916

ABSTRACT

[This corrects the article DOI: 10.3389/fpubh.2022.904550.].

4.
Journal of Clinical Oncology ; 40(16), 2022.
Article in English | EMBASE | ID: covidwho-2009548

ABSTRACT

Background: Obesity, physical inactivity, excessive alcohol consumption, and poor diet are all modifiable risk factors for cancer. These unhealthy behaviors are disproportionally concentrated in racial and ethnic minorities and these disparities may have been exacerbated during the COVID-19 pandemic. This study examined racial and ethnic disparities in weight gain and other undesirable lifestyle changes during the COVID-19 pandemic and explored mechanisms underlying these lifestyle disparities. Methods: We used data from the 2020 Health, Ethnicity and Pandemic Study, a national survey representative of US households conducted in October 2020. Racial and ethnic minorities were oversampled. Participants were asked to report lifestyle behaviors before and during the COVID-19 pandemic. We examined two outcomes in this study: weight gain and experiencing any undesirable lifestyle changes (i.e., reduced exercise time, increased alcohol drinking, or increased fast-food meal consumption). The primary exposure was race-ethnicity (non-Hispanic (NH) white, NH black, Hispanic, NH Asian, NH other race). Four sets of mediators were examined: socioeconomic status (education, household income, and undesirable job changes), family and friend social relationship change, perceived and experienced racism, and psychological distress. Weighted multivariable logistic regression models were performed. Mediation effects were examined with variance decomposition method. Results: A total of 2,709 participants were included in our sample. Compared with white respondents, black (OR = 1.71;p < 0.001) and Hispanic respondents (OR = 2.17;p < 0.001) were more likely to experience weight gain, controlling for age and sex. Among the hypothesized mediators, undesirable job changes during the pandemic, experiencing worse family relationship, and higher levels of psychological distress were all linked to higher odds of weight gain, but none of these variables played a salient role in mediating the black-white and Hispanic-white disparities in weight gain during the pandemic. As to the odds of experiencing undesirable lifestyle changes, black (OR = 1.76;p < 0.001), Hispanic (OR = 2.12;p < 0.001), and Asian respondents (OR = 1.42;p < 0.01) all exhibited disadvantages relative to white respondent. These disadvantages were largely attributable to perceived racism toward one's own group and psychological distress for all three minority groups. Conclusions: Racial and ethnic minorities were more likely to experience unhealthy lifestyle changes relative to white individuals during the pandemic in the United States, which can be partly attributable to higher levels of perceived racism and psychological distress. The long-term effects of racial/ethnic disparities of lifestyle change during the pandemic on cancer prevention warrant further research.

5.
Int J Equity Health ; 21(1):115, 2022.
Article in English | PubMed | ID: covidwho-2002183

ABSTRACT

OBJECTIVE: This study aims to compare the differences in COVID-19 prevention and control policies adopted by the United Kingdom (UK) during the first wave (31 January 2020 to 6 September 2020) and the second wave (7 September 2020 to 12 April 2021), and analyze the effectiveness of the policies, so as to provide empirical experience for the prevention and control of COVID-19. Methods We systematically summarized the pandemic prevention and control policies of the UK from official websites and government documents, collated the epidemiological data from 31 January 2020 to 12 April 2021, and analyzed the effectiveness of the two waves of pandemic prevention and control policies. RESULTS: The main pandemic prevention and control policies adopted by the UK include surveillance and testing measures, border control measures, community and social measures, blockade measures, health care measures, COVID-19 vaccination measure, and relaxed pandemic prevention measures. The new cases per day curve showed only one peak in the first wave and two peaks in the second wave. The number of new cases per million in the second wave was much higher than that in the first wave, and the curve fluctuated less. The difference between mortality per million was small, and the curve fluctuated widely. CONCLUSION: During the first and second waves of COVID-19, the UK implemented three lockdowns and managed to slow the spread of the pandemic. The UK's experience in mitigating the second wave proves that advancing COVID-19 vaccination needs to be accompanied by ongoing implementation of non-pharmacological interventions to reduce the transmission rate of infection. And a stricter lockdown ensures that the containment effect is maximized during the lockdown period. In addition, these three lockdowns featured distinct mitigation strategies and the UK's response to COVID-19 is mitigation strategy that reduce new cases in the short term, but with the risk of the pandemic rebound.

7.
Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research ; 25(7):S472-S472, 2022.
Article in English | EuropePMC | ID: covidwho-1905303
8.
Economic Journal ; : 29, 2022.
Article in English | Web of Science | ID: covidwho-1886393

ABSTRACT

We study quantitatively the optimality of quarantine and testing policies;and whether they are complements or substitutes. We extend the epidemiological susceptible-exposed-infectious-recovered model to incorporate an information friction. Our main finding is that testing is a cost-efficient substitute for lockdowns, rendering them almost unnecessary. By identifying carriers, testing contains the spread of the virus without reducing output, although the implementation requires widespread massive testing. As a byproduct, we show that two distinct optimal lockdown policy types arise: suppression, intended to eliminate the virus, and mitigation, concerned about flattening the curve. The choice between them is determined by a 'hope-for-the-cure' effect, arising due to either an expected vaccine or the belief that the virus can be eliminated. Conditional on the policy type, the intensity and duration of the intervention is invariant to both the trade-off between lives and output and the aversion to GDP variations: the optimal intervention path depends mostly on the virus dynamics.

9.
International Journal of Information and Education Technology ; 12(6):467-475, 2022.
Article in English | Scopus | ID: covidwho-1847902

ABSTRACT

COVID-19 pandemic had caused an unprecedented impact on teachers and students in their teaching and learning process. Diverse teaching and learning tools are essential to ensure that education continues. This confinement provides an opportunity to enculture a new norm for learning among Malaysian students and teachers. Usage of web 2.0 tools has indirectly encouraged students to study on their own and communicate dynamically with peers and teachers during online lessons. A mixed-method quasi-experimental study involving pre-test and post-test was conducted to investigate the impact of using web 2.0 tools on students’ achievement. 60 Form Two students were divided into control and experimental groups where the experimental group had lessons using The Product, Process, Person, and Press model of creative approach with web 2.0 tools while the control group was taught using the teacher-centered instruction. The creative approach using web 2.0 tools has not only produced advancement in students’ achievement in the science subject but has also motivated them to complete the assessments given during online lessons. The findings also emanated that students’ motivation to learn science through online learning was due to the usage of 2.0 tools. Hence, science teachers ought to be better prepared with the skills as well as better-designed learning modules and experiences to incorporate integrated online learning and face-to-face class with a blended learning approach seamlessly. © 2022 by the authors.

10.
PubMed; 2022.
Preprint in English | PubMed | ID: ppcovidwho-334286

ABSTRACT

Background: An animal model that can mimic the SARS-CoV-2 infection in humans is critical to understanding the rapidly evolving SARS-CoV-2 virus and for development of prophylactic and therapeutic strategies to combat emerging mutants. Studies show that the spike proteins of SARS-CoV and SARS-CoV-2 bind to human angiotensin-converting enzyme 2 (hACE2, a well-recognized, functional receptor for SARS-CoV and SARS-CoV-2) to mediate viral entry. Several hACE2 transgenic (hACE2Tg) mouse models are being widely used, which are clearly invaluable. However, the hACE2Tg mouse model cannot fully explain: 1) low expression of ACE2 observed in human lung and heart, but lung or heart failure occurs frequently in severe COVID-19 patients;2) low expression of ACE2 on immune cells, but lymphocytopenia occurs frequently in COVID-19 patients;and 3) hACE2Tg mice do not mimic the natural course of SARS-CoV-2 infection in humans. Moreover, one of most outstanding features of coronavirus infection is the diversity of receptor usage, which includes the newly proposed human CD147 (hCD147) as a possible co-receptor for SARS-CoV-2 entry. It is still debatable whether CD147 can serve as a functional receptor for SARS-CoV-2 infection or entry. Results: Here we successfully generated a hCD147 knock-in mouse model (hCD147KI) in the NOD- scid IL2Rgamma (null) (NSG) background. In this hCD147KI-NSG mouse model, the hCD147 genetic sequence was placed downstream of the endogenous mouse promoter for mouse CD147 (mCD147), which creates an in vivo model that may better recapitulate physiological expression of hCD147 proteins at the molecular level compared to the existing and well-studied K18-hACE2-B6 (JAX) model. In addition, the hCD147KI-NSG mouse model allows further study of SARS-CoV-2 in the immunodeficiency condition which may assist our understanding of this virus in the context of high-risk populations in immunosuppressed states. Our data show 1) the human CD147 protein is expressed in various organs (including bronchiolar epithelial cells) in hCD147KI-NSG mice by immunohistochemical staining and flow cytometry;2) hCD147KI-NSG mice are marginally sensitive to SARS-CoV-2 infection compared to WT-NSG littermates characterized by increased viral copies by qRT-PCR and moderate body weight decline compared to baseline;3) a significant increase in leukocytes in the lungs of hCD147KI-NSG mice, compared to infected WT-NSG mice. Conclusions: hCD147KI-NSG mice are more sensitive to COVID-19 infection compared to WT-NSG mice. The hCD147KI-NSG mouse model can serve as an additional animal model for further interrogation whether CD147 serve as an independent functional receptor or accessory receptor for SARS-CoV-2 entry and immune responses.

11.
PubMed; 2020.
Preprint in English | PubMed | ID: ppcovidwho-333514

ABSTRACT

BACKGROUND: The novel human coronavirus disease 2019 (COVID-19) pandemic has claimed more than 240,000 lives worldwide, causing tremendous public health, social, and economic damages. While the risk factors of COVID-19 are still under investigation, environmental factors, such as urban air pollution, may play an important role in increasing population susceptibility to COVID-19 pathogenesis. METHODS: We conducted a cross-sectional nationwide study using zero-inflated negative binomial models to estimate the association between long-term (2010-2016) county-level exposures to NO2, PM2.5 and O3 and county-level COVID-19 case-fatality and mortality rates in the US. We used both single and multipollutant models and controlled for spatial trends and a comprehensive set of potential confounders, including state-level test positive rate, county-level healthcare capacity, phase-of-epidemic, population mobility, sociodemographic, socioeconomic status, behavior risk factors, and meteorological factors. RESULTS: 1,027,799 COVID-19 cases and 58,489 deaths were reported in 3,122 US counties from January 22, 2020 to April 29, 2020, with an overall observed case-fatality rate of 5.8%. Spatial variations were observed for both COVID-19 death outcomes and long-term ambient air pollutant levels. County-level average NO2 concentrations were positively associated with both COVID-19 case-fatality rate and mortality rate in single-, bi-, and tri-pollutant models (p-values<0.05). Per inter-quartile range (IQR) increase in NO2 (4.6 ppb), COVID-19 case-fatality rate and mortality rate were associated with an increase of 7.1% (95% CI 1.2% to 13.4%) and 11.2% (95% CI 3.4% to 19.5%), respectively. We did not observe significant associations between long-term exposures to PM2.5 or O3 and COVID-19 death outcomes (p-values>0.05), although per IQR increase in PM2.5 (3.4 ug/m3) was marginally associated with 10.8% (95% CI: -1.1% to 24.1%) increase in COVID-19 mortality rate. DISCUSSIONS AND CONCLUSIONS: Long-term exposure to NO2, which largely arises from urban combustion sources such as traffic, may enhance susceptibility to severe COVID-19 outcomes, independent of long-term PM2.5 and O3 exposure. The results support targeted public health actions to protect residents from COVID-19 in heavily polluted regions with historically high NO2 levels. Moreover, continuation of current efforts to lower traffic emissions and ambient air pollution levels may be an important component of reducing population-level risk of COVID-19 deaths.

12.
7th ACM SIGIR Conference on Human Information Interaction and Retrieval, CHIIR 2022 ; : 315-320, 2022.
Article in English | Scopus | ID: covidwho-1789004

ABSTRACT

We conducted a lab-based eye-Tracking study to investigate how interactivity of an AI-powered fact-checking system affects user interactions, such as dwell time, attention, and mental resources involved in using the system. A within-subject experiment was conducted, where participants used an interactive and a non-interactive version of a mock AI fact-checking system, and rated their perceived correctness of COVID-19 related claims. We collected web-page interactions, eye-Tracking data, and mental workload using NASA-TLX. We found that the presence of the affordance of interactively manipulating the AI system's prediction parameters affected users' dwell times, and eye-fixations on AOIs, but not mental workload. In the interactive system, participants spent the most time evaluating claims' correctness, followed by reading news. This promising result shows a positive role of interactivity in a mixed-initiative AI-powered system. © 2022 ACM.

13.
AMIA ... Annual Symposium Proceedings/AMIA Symposium ; 2021:187-196, 2021.
Article in English | MEDLINE | ID: covidwho-1749239

ABSTRACT

The COVID-19 pandemic has affected the whole world in various ways. One type of impact is that communication, work, interaction, a great part of our lives has moved online on various platforms, with some of the most popular being the social media ones. Another, arguably less visible impact, is the emotional impact. Detecting and understanding emotions is important, to better discern the emotional health and well-being of the global population. Thus, in this work, we use a social media platform (Twitter) to analyse emotions in detail. Our contribution is twofold: (1) we propose EmoBERT, a new emotion-based variant of the BERT transformer model, able to learn emotion representations and outperform the state-of-the-art;(2) we provide a fine-grained analysis of the pandemic's effect in a major location, London, comparing specific emotions (annoyed, anxious, empathetic, sad) before and during the epidemic.

14.
Journal of Analytical and Applied Pyrolysis ; 163, 2022.
Article in English | Scopus | ID: covidwho-1729852

ABSTRACT

The disposable masks generated in the battle against COVID-19 has attracted wide attention in the world. Pyrolysis can convert the masks into useful chemicals and fuels. In this work, the masks are pyrolyzed at temperatures of 400–580 °C and the volatiles generated are cracked without or with catalysts at 440–580 °C. The catalysts used include metal oxides (Al2O3, kaolin, Fe2O3, CeO2, TiO2) and molecular sieves (HZSM5, HY, β(25H), β(60H)). The yields and composition of gas and liquid products are studied in detail where the tetrahydrofuran (THF) soluble compounds are defined as the liquid product and the n-hexane soluble compounds are defined as the oil. The liquid product and the oil were identified by GC-MS and quantified by GC. Results indicate that 440 °C is sufficient for the masks’ pyrolysis and the yields of gas, liquid product and oil are 23.4, 74.7 and 42.1 wt%, respectively. About 30% of the liquid product are C6-C35 hydrocarbons while about 70% are C36-C70 hydrocarbons trapped in the GC column (termed as column residue). The gas products are mainly C5, propylene and butene, accounting for 54.8%, 22.8% and 14.5% of the total gas product, respectively. Cracking of volatiles over various catalysts converts the liquid product mainly to propylene, butene and smaller organic gases. TiO2, HY and β(60H) are good catalysts, especially β(60H), which increases the yield of gas product to 86.5 wt% with 73.0% being ethylene, propylene and butene at 580 °C. © 2022 Elsevier B.V.

15.
MEDLINE;
Preprint in English | MEDLINE | ID: ppcovidwho-326609

ABSTRACT

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is highly contagious presenting a significant public health issue. Current therapies used to treat coronavirus disease 2019 (COVID-19) include monoclonal antibody cocktail, convalescent plasma, antivirals, immunomodulators, and anticoagulants, though the current therapeutic options remain limited and expensive. The vaccines from Pfizer and Moderna have recently been authorized for emergency use, which are invaluable for the prevention of SARS-CoV-2 infection. However, their long-term side effects are not yet to be documented, and populations with immunocompromised conditions (e.g., organ-transplantation and immunodeficient patients) may not be able to mount an effective immune response. In addition, there are concerns that wide-scale immunity to SARS-CoV-2 may introduce immune pressure that could select for escape mutants to the existing vaccines and monoclonal antibody therapies. Emerging evidence has shown that chimeric antigen receptor (CAR)- natural killer (NK) immunotherapy has potent antitumor response in hematologic cancers with minimal adverse effects in recent studies, however, the potentials of CAR-NK cells in preventing and treating severe cases of COVID-19 has not yet been fully exploited. Here, we improve upon a novel approach for the generation of CAR-NK cells for targeting SARS-CoV-2 and its D614G mutant. CAR-NK cells were generated using the scFv domain of S309 (henceforward, S309-CAR-NK), a SARS-CoV and SARS-CoV-2 neutralizing antibody that targets the highly conserved region of SARS-CoV-2 spike (S) glycoprotein, therefore would be more likely to recognize different variants of SARS-CoV-2 isolates. S309-CAR-NK cells can specifically bind to pseudotyped SARS-CoV-2 virus and its D614G mutant. Furthermore, S309-CAR-NK cells can specifically kill target cells expressing SARS-CoV-2 S protein in vitro and show superior killing activity and cytokine production, compared to that of the recently published CR3022-CAR-NK cells. Thus, these results pave the way for generating 'off-the-shelf' S309-CAR-NK cells for treatment in high-risk individuals as well as provide an alternative strategy for patients unresponsive to current vaccines.

16.
Journal of Medical Internet Research ; 23(12), 2021.
Article in English | EMBASE | ID: covidwho-1598077

ABSTRACT

Background: The transition to parenthood can be challenging, and parents are vulnerable to psychological disorders during the perinatal period. This may have adverse long-term consequences on a child's development. Given the rise in technology and parents' preferences for mobile health apps, a supportive mobile health intervention is optimal. However, there is a lack of a theoretical framework and technology-based perinatal educational intervention for couples with healthy infants. Objective: The aim of this study is to describe the Supportive Parenting App (SPA) development procedure and highlight the challenges and lessons learned. Methods: The SPA development procedure was guided by the information systems research framework, which emphasizes a nonlinear, iterative, and user-centered process involving 3 research cycles-the relevance cycle, design cycle, and rigor cycle. Treatment fidelity was ensured, and team cohesiveness was maintained using strategies from the Tuckman model of team development. Results: In the relevance cycle, end-user requirements were identified through focus groups and interviews. In the rigor cycle, the user engagement pyramid and well-established theories (social cognitive theory proposed by Bandura and attachment theory proposed by Bowlby) were used to inform and justify the features of the artifact. In the design cycle, the admin portal was developed using Microsoft Visual Studio 2017, whereas the SPA, which ran on both iOS and Android, was developed using hybrid development tools. The SPA featured knowledge-based content, informational videos and audio clips, a discussion forum, chat groups, and a frequently asked questions and expert advice section. The intervention underwent iterative testing by a small group of new parents and research team members. Qualitative feedback was obtained for further app enhancements before official implementation. Testing revealed user and technological issues, such as web browser and app incompatibility, a lack of notifications for both administrators and users, and limited search engine capability. Conclusions: The information systems research framework documented the technical details of the SPA but did not take into consideration the interpersonal and real-life challenges. Ineffective communication between the health care research team and the app developers, limited resources, and the COVID-19 pandemic were the main challenges faced during content development. Quick adaptability, team cohesion, and hindsight budgeting are crucial for intervention development. Although the effectiveness of the SPA in improving parental and infant outcomes is currently unknown, this detailed intervention development study highlights the key aspects that need to be considered for future app development.

17.
Blood ; 138:3845, 2021.
Article in English | EMBASE | ID: covidwho-1582245

ABSTRACT

Background: Pts with previously treated R/R aggressive LBCL have compromised health-related QOL (HRQOL). Liso-cel is an autologous, CD19-directed, defined composition, 4-1BB CAR T cell product administered at equal target doses of CD8 + and CD4 + CAR + T cells. In a prespecified interim analysis of TRANSFORM (NCT03575351), a randomized, open-label, pivotal trial, liso-cel demonstrated statistically significant and clinically meaningful improvement in the primary endpoint of event-free survival and key secondary endpoints (complete response rate and progression-free survival) in adults with R/R LBCL after failure of first-line (1L) immunochemotherapy compared with SOC, with no new safety signals. Here we present results of the pt-reported outcomes (PRO) analysis from TRANSFORM. Methods: Adults (age ≤ 75 yrs) with R/R LBCL (≤ 12 mo after 1L therapy), who were eligible for autologous stem cell transplantation (ASCT), were randomized to receive either SOC (3 cycles of salvage chemotherapy [CT] and BEAM + ASCT for responding pts) or liso-cel after lymphodepletion. Crossover to receive liso-cel was allowed in the SOC arm for pts who failed treatment. The European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire - 30 items (EORTC QLQ-C30) and the Functional Assessment of Cancer Therapy - Lymphoma Subscale (FACT-LymS) were administered at randomization (baseline) and on Days 29 (infusion of liso-cel or 2 cycles of salvage CT), 64 (1 mo post liso-cel or completion of CT), 126 (3 mos post liso-cel or 2 mos post ASCT), and Mo 6 and other prespecified timepoints up to Mo 36 or end of study. No PRO data were collected after crossover. The analysis was based on the PRO-evaluable population (pts with a baseline and ≥ 1 post-baseline assessment). Predefined thresholds determined clinically meaningful changes. Global health/QOL (GH/QOL), physical functioning, cognitive functioning, fatigue, pain, and FACT-LymS were the primary domains of interest based on their relevance to the study population and treatment. A linear mixed model for repeated measures (MMRM) analysis was performed to assess the between-treatment difference in overall least squares (LS) mean change from baseline for each primary domain, using data collected up to Day 126 for visits with a sample size per arm ≥ 10. Proportions of pts with meaningful change from baseline were assessed for each primary domain up to Mo 6. All analyses were descriptive only. Results: Of 184 randomized pts, 90 (49%) and 85 (46%), respectively, were included in the PRO-evaluable population for the EORTC QLQ-C30 (SOC vs liso-cel n=43 vs 47) and FACT-LymS (n=40 vs 45, respectively). The PRO assessment completion rate from baseline up to Mo 6 was ≥ 45%, which was lower than expected primarily due to operational challenges during the COVID-19 pandemic but was comparable for both arms. In the MMRM analysis, the liso-cel arm had more favorable overall LS mean changes from baseline to Day 126 than the SOC arm in most of the EORTC QLQ-C30 domains and FACT-LymS. In particular, the between-treatment differences for cognitive functioning (−2.09 vs 2.21) and fatigue (3.75 vs −1.95) for SOC versus liso-cel, respectively, exceeded the prespecified minimal important difference threshold (Table);in those domains, the SOC arm deteriorated while the liso-cel arm improved. In individual-level analyses, the proportion of pts with meaningful improvement for fatigue and GH/QOL was higher, while deterioration was lower, in the liso-cel arm versus SOC arm from baseline up to Mo 6 (Figure). At Mo 6, a higher proportion of pts experienced worsened fatigue (71% vs 18%) and a lower proportion experienced improved fatigue (29% vs 47%) in the SOC arm compared with the liso-cel arm;for GH/QOL, a higher proportion of pts worsened (57% vs 18%) and lower proportion improved (14% vs 53%), respectively. For the other primary domains, the proportions of pts with improvement or deterioration favored liso-cel or were similar between arms. Conclusions: Compared with SOC, liso-cel sh wed favorable improvement in most primary PRO domains, particularly EORTC QLQ-C30 cognitive functioning and fatigue and more pts showed PRO improvements and fewer showed deterioration by Mo 6 with liso-cel. The results were achieved despite only responders remaining in the SOC arm after salvage CT. HRQOL was either improved or maintained after liso-cel treatment in pts with R/R LBCL after failure of 1L therapy. [Formula presented] Disclosures: Abramson: Bristol-Myers Squibb Company: Consultancy, Research Funding;Morphosys: Consultancy;C4 Therapeutics: Consultancy;Kite Pharma: Consultancy;Kymera: Consultancy;Incyte Corporation: Consultancy;Bluebird Bio: Consultancy;Astra-Zeneca: Consultancy;Allogene Therapeutics: Consultancy;Novartis: Consultancy;EMD Serono: Consultancy;Genmab: Consultancy;Seagen Inc.: Research Funding;AbbVie: Consultancy;Karyopharm: Consultancy;Genentech: Consultancy;BeiGene: Consultancy. Arnason: Juno/BMS: Honoraria. Glass: BMS: Consultancy;Roche: Consultancy, Research Funding, Speakers Bureau;Riemser: Research Funding;Kite: Consultancy;Novartis: Consultancy;Helios Klinik Berlin-Buch: Current Employment. Crotta: Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company. Montheard: Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company. Previtali: Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company. Liu: Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company. Braverman: BMS: Current Employment, Current equity holder in publicly-traded company. Guo: Daiichi Sankyo: Consultancy;UCB: Consultancy;Janssen: Consultancy;Gilead: Consultancy;Bristol Myers Squibb: Consultancy;EMD Serono: Consultancy;Evidera: Current Employment. Shi: Bristol Myers Squibb: Consultancy. Kamdar: ADC Therapeutics: Consultancy;Adaptive Biotechnologies: Consultancy;TG Therapeutics: Research Funding;Genentech: Research Funding;AbbVie: Consultancy;KaryoPharm: Consultancy;Kite: Consultancy;AstraZeneca: Consultancy;SeaGen: Speakers Bureau;Celgene: Other;Genetech: Other;Celgene (BMS): Consultancy.

18.
Emerging Infectious Diseases ; 27(11):2976-2976, 2021.
Article in English | Web of Science | ID: covidwho-1551455
19.
2021 International Conference on Computer Engineering and Artificial Intelligence, ICCEAI 2021 ; : 271-275, 2021.
Article in English | Scopus | ID: covidwho-1494280

ABSTRACT

Social media has become one of the most important sources of information dissemination during crisis and pandemics. The unknown nature of these disasters makes it hard to analyze the comprehensive situational awareness through different aspects and sentiments to support authorities. Current aspect detection and sentiment analysis system largely relies on labelled data and also categorize the aspects manually. So, in this research, we proposed a hybrid text analytical framework to do aspect level public sentiments analysis. Our approach consists of three layers, first we extracted and clustered the aspects from the data by utilizing the widely used Latent dirichlet allocation (LDA) topic modelling, then we extracted the sentiments and label the dataset by using the linguistic inquiry and word count (LIWC) lexicon, then in third layer of our framework we mapped the aspects into sentiments and sentiments are then classified with well-known machine learning classifiers. Experiments with real dataset gives us promising results as compared to existing aspect oriented sentiment analysis approaches and our method with different variant of classifiers outperforms existing methods with highest F1 scores of 91 %. © 2021 IEEE.

20.
Chinese Pharmaceutical Journal ; 56(14):1178-1181, 2021.
Article in Chinese | EMBASE | ID: covidwho-1449281

ABSTRACT

OBJECTIVE: To explore the impact of timely inclusion of medical insurance on the use of high-quality domestic innovative drugs, using the domestic innovative drug, icotinib, as an example. METHODS Province X and province Z with large difference on the timing to include icotinib in medical insurance were selected as sample provinces to compare and analyze the price, volume and expenditure changes of three targeted drugs (gefitinib, erlotinib and icotinib) for non-small cell lung cancer (NSCLC), using the sample hospital procurement data covering two provinces from 2013 to 2018 in the China Medical Economic Information Network (CMEI) database. RESULTS In two sample provinces, icotinib's daily cost had been the lowest among three sample drug's for a long time. Province Z has included icotinib in the basic health insurance since 2013. After that, the market shares of icotinib's volume and expenditure had increased rapidly from 0, and remained at about 85% for a long period of time, occupying the dominant position in province Z's market. However, province X has not included icotinib until 2016. The highest market share of icotinib's volume was only 8% in province X's market. There was little difference of sample drugs' daily cost between two provinces. After the national health insurance negotiation, the daily cost of sample drugs decreased significantly, with an overall decrease between 60% to 79%. By the second half of 2018, the daily cost of sample drugs was almost the same. CONCLUSION Timely inclusion of high-quality domestic innovative drugs in the scope of medical insurance reimbursement can greatly promote the use of high-quality domestic innovative drugs. Compared with foreign drugs with same indications, high-quality domestic innovative drugs can save money for patients, which will greatly benefit them.

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