| Title | Venue | Year | Impact | Source |
6051 | Aktuelles zur Brustkrebstherapie | N/A | 2022 | | CORD-19 |
6052 | Häufigkeit impfinduzierter Sinusvenenthrombosen | N/A | 2022 | | CORD-19 |
6053 | Evidente Informationen teilen-beratend aufklären-Familien schützen | N/A | 2022 | | CORD-19 |
6054 | Schlechtere Prognose nach Schlaganfall | N/A | 2022 | | CORD-19 |
6055 | Was tun bei (therapieresistenter) Skabies | N/A | 2022 | | CORD-19 |
6056 | Neurologische Komplikationen häufig Grund für COVID-Tod | N/A | 2022 | | CORD-19 |
6057 | Weniger stationäre Patienten, höhere Mortalität zu Hause | N/A | 2022 | | CORD-19 |
6058 | Geschlechtsinkongruenz heute-Transsexualität früher | N/A | 2022 | | CORD-19 |
6059 | COVID und kein Ende | N/A | 2022 | | CORD-19 |
6060 | Stillen trotz SARS-CoV-2-Infektion? | N/A | 2022 | | CORD-19 |
6061 | Urogenitales Menopausesyndrom: Pandemie stört die Therapietreue erheblich | N/A | 2022 | | CORD-19 |
6062 | Human shields, human heresies Neve Gordon and Nicola Perugini might well add the laws of war as another instance of Orwellian “doublethink” where the concept of human shields operates as if it were the GPS tracker directing you to a human target. The prohibition of human shields is framed as the iron dome sheltering vulnerable actors from attacking armies, but this book compellingly demonstrates that shelter is part of the arsenal of modern lawfare. Is IHL worth saving. | N/A | 2022 | | CORD-19 |
6063 | Interpreting the perceptions of authenticity in virtual reality tourism through postmodernist approach Based on the authenticity theory and limited extant research on virtual reality (VR) tourism experience, this study aims to extend authenticity theory by focusing on perceptions of authenticity from postmodernist approach and developing a theoretical framework for tourists participating in VR tourism experience. In-depth interviews were conducted with 28 respondents, and thematic analysis was adopted to analyze the data. Through inductive and deductive data analysis, three main themes are extracted, and six sub-themes are generated, helping to form a framework of authenticity in VR tourism. The findings contribute both to be authenticity theory and VR tourism implication. | N/A | 2022 | | CORD-19 |
6064 | Flipping the digital switch: Affective responses of STEM undergraduates to emergency remote teaching during the COVID-19 pandemic The Corona Virus Disease-2019 (COVID-19) catalyzed a global shift to distance education known as an emergency transition to remote teaching (ERT). While prior research investigates students' experiences during traditional online learning, fewer studies examine students' affective responses (i.e., feelings, emotions) to those experiences, particularly when remote learning is unexpected and unplanned. To understand how science, technology, engineering, and mathematics (STEM) undergraduates responded affectively to the COVID-19 ERT, researchers generated open-ended survey data with 1340 undergraduates (253 female) in 27 courses across seven U.S. institutions. Using an inductive qualitative approach, researchers developed a three-tier thematic model to synthesize the self-reported reasons underlying participants’ affective responses to the COVID-19 ERT. Findings reveal a complex mix of positive and negative emotional responses among participants that included frequent occurrences of feelings of stress and uncertainty traced to a variety of external, internal, and contextual factors. Implications for STEM teaching practice are discussed. | N/A | 2022 | | CORD-19 |
6065 | Monetary policy, financial shocks and economic activity This paper contributes to a fuller understanding of macroeconomic outcomes to financial market disturbances and the central bank’s role in financial stability. Our two major contributions are conceptual and econometric. Conceptually, we introduce phases of the business cycle and econometrically we employ Bayesian VARs. We document that a shock that increases credit to non-financial sector leads to a persistent decline in economic activity. In addition, we examine whether the behavior of financial variables is useful in signaling the 2007–2009 recession. The answer is positive as our BVAR generates early warning signals pointing to a sustained slowdown in growth. We propose that the expansion phase of the business cycle can be subdivided into an early and a late expansion. Based on this distinction, we show that if the Fed had raised the policy rate when the economy moved from the early to late expansion, it could have mitigated the severity of the 2007–2009 recession. | N/A | 2022 | | CORD-19 |
6066 | Special Issue Featuring Papers from the International Thermal Spray Conference (ITSC) 2021 | N/A | 2022 | | CORD-19 |
6067 | Terrorist attacks and bank financial stability: evidence from MENA economies This study examines the impact of terrorism on bank stability, represented by bank risk and financial performance. We consider banks from 14 countries located in the Middle East and North Africa region for the period 2010–2018 using both the three-stage least-square and the generalised method of moments. The results provide strong evidence that banks located in countries with high exposure to terrorist attack exhibit low financial stability, due to high bank risk (i.e., high credit and insolvency risk). However, these banks show high financial performance (i.e., high profitability and cost efficiency), on average. Our results also show differential impacts on bank stability for countries marked as more (less) exposed to risk of attacks. For banks located in high-income-generating countries, we find that exposure to terrorism is associated with low financial performance and high credit risk, which is the opposite case for low-income-generating countries. Our results also indicate high systemic risk for listed banks operating under high terrorism risk exposure. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11156-022-01043-1. | N/A | 2022 | | CORD-19 |
6068 | Facilitators and barriers to the consumption of traditional foods among adults in Zimbabwe BACKGROUND: Traditional foods have superior nutritional composition; however, they are largely absent from the Zimbabwean diet. OBJECTIVE: To identify barriers and facilitators to the consumption of traditional foods among adults aged 18–69 years in Zimbabwe. METHODS: An online-based cross-sectional survey was conducted among adults aged 18–69 years in Zimbabwe. The questionnaire was based on a socio-ecological model designed to assess barriers and facilitators at the individual, interpersonal, community, and national levels. Data were analysed using Microsoft Excel and SPSS version 20 software package. The level of significance was set at p < 0.05. Ethical approval was obtained from the Medical Research Council of Zimbabwe (MRCZ/B/1931). RESULTS: The study enrolled 440 participants. Traditional food consumption was low in this population with only 9.3% consuming these foods daily. At the individual level, 44.4% of study participants mentioned their consumption of traditional foods is facilitated by generational factors, while the most important barrier at this level was the inconvenience in accessing and preparing traditional foods (33.2%). At the community and national levels, the most important facilitator was family members (26.2%) and lack of environmental contaminants (38.9%), respectively, while most important barrier at the community and national levels was their residential location or residence (31.8%) and aggressive marketing of processed foods (47.8%), respectively. CONCLUSIONS: Consumption of traditional foods was low in general. Generational factors, family contribution, and food safety impact the consumption of traditional foods among adults in Zimbabwe. The food environment, particularly commercial advertising of alternative foods, is a deterrent. Therefore, interventions to promote the consumption of traditional foods must take into account these factors at every stage of the socio-ecological model. | N/A | 2022 | | CORD-19 |
6069 | Gender inequalities in the sale of handmade corn tortillas in central Mexican markets: before and during the COVID-19 pandemic OBJECTIVE: The objective of this study was to analyze gender inequalities and intersectionality experienced by rural-indigenous women who produce and sell native maize tortillas at three different markets-tianguis in central Mexico, facing the COVID-19 pandemic. METHODS: This was a qualitative study based on 36 in-depth interviews before pandemic (2018), as well as 16 interviews during pandemic (2020) of women engaged in this work. RESULTS: Making corn tortillas by hand is one of the culturally assigned gender roles in the indigenous population of the Mazahua region, which is why their sale in local markets as a female strategy to have access to income for household sustenance has been widely by the communities. The configuration of the different market-space for the sale of handmade tortillas, reflects the inequalities of gender and intersectionality (ethnicity, class, age, family life cycle and education levels). The women in conditions of poverty, landlessness, and with school-age children, have met greater disadvantages in continuing to sell tortillas in the face of the experience of pandemic restrictions. CONCLUSIONS: The women who were already disadvantaged by their intersectional relationships continue to experience the same inequalities that conditioned their position in the marketplaces before the pandemic, sustaining a marginal but constant market. | N/A | 2022 | | CORD-19 |
6070 | Criteria and potential predictors of severity in patients with COVID-19 BACKGROUND: The challenge in treating severe COVID-19 in the absence of targeted medication is enforcing physicians to search carefully for clinical predictors of severity. AIM: To define the profile of patients at risk of severe COVID-19 and to assess for certain predictors. METHODS: Confirmed COVID-19 cases were classified into the following: group A: mild/moderate cases and group B: severe/critical cases according to the selected criteria. History, radiological assessment, complete blood count, lactate dehydrogenase (LDH), myocardial enzymes, serum ferritin, and D dimer were assessed. Patients were followed for the need of ICU and mechanical ventilation. Duration till conversion, length of stay, and mortality were recorded. RESULTS: A total of 202 patients were analyzed. Group B had higher age (53.2 ± 12.6 vs 40.3 ± 10.3, P < 0.001), more prevalence of DM (60.61% vs 16.57% P < 0.001), hypertension (51.52% vs 20.12%, P < 0.001), ischemic heart (27.27% vs 3.55%, P < 0.001), bronchial asthma (36.36% vs 3.55%, P < 0.001), COPD (9.09% vs 1.18%, P = 0.03), higher mean platelet volume (MPV) (12.76 ± 7.13 vs 10.51 ± 7.78 (fL), P < 0.001), higher serum ferritin (954 ± 138 vs 447 ± 166 ng/ml, P < 0.001), higher LDH (604 ± 220 vs 384 ± 183 U/L, P-value < 0.001), higher creatine phosphokinase (24.27 ± 5.82 vs 16.4 ± 4.87 IU/L, P < 0.001), and higher mortality (30.3% vs 0.6%, P < 0.001). Multivariate regression of predictors of severity identified three predictors; age, MPV, serum ferritin, and IHD. CONCLUSIONS: The current study places of interest the characteristic host-related features of severe COVID-19 and draws attention to potential predictors. | N/A | 2022 | | CORD-19 |
6071 | VIRONIX: REMOTE SCREENING, MONITORING, AND TRIAGE OF VIRAL RESPIRATORY ILLNESS TOPIC: Chest Infections TYPE: Original Investigations PURPOSE: Viral Respiratory illnesses such as Covid-19 and Influenza pose significant health challenges worldwide. There are more than 150M confirmed cases of Covid-19 with a reported 3.15M deaths (as of April, 2021). The WHO reports there to be ~ 1 billion influenza cases and 290-650K influenza-associated deaths annually. A signature feature of these illnesses is an early infection period that, if insufficiently recognized and controlled early, can lead to viral spread and avoidable morbidity/mortality. The need for personalized, remote care tools that facilitate early detection and triage of viral illness has never been greater. To address this gap, we developed an institutional software, Vironix, that uses machine-learned (ML) prediction models to enable real-time risk stratification and decision support for global organizations. METHODS: ML models were trained on clinical characteristic data from East and South Asia, Western Europe, and USA. Algorithms take an input of symptom, profile, biometric, and exposure data and return an assessment of disease severity. Covid-19 algorithms were validated on computer generated patient vigenttes and deployed in the Vironix web app among 22 participants in a small business commercial pilot for member self-screening. Members conducted daily health assessments and received personalized decision support while organization managers received work-from-home recommendations and compliant symptom monitoring without seeing member health data. For influenza, Vironix ML algorithms were tested on a dataset (with a 90/10 train test split) collected from one academic and two community emergency rooms from March 2014 to July 2017 (Hong et al.). RESULTS: ML-predictions showed 87.6% accuracy, 85.5% sensitivity, and 87.8% specificity in identifying severe Covid-19 presentations in an out-of-sample validation set of 5,000 patient cases. After 4-months pilot use, Vironix issued 14 stay-at-home and 10 healthcare escalation recommendations while maintaining 30-day and 7-day user retention of 66% and 72%, greatly exceeding common app adoption rates. ML predictions for the Influenza data set showed 67.8% accuracy, 71.7% sensitivity, and 65.4% specificity in identifying admissible or dischargeable presentations of influenza in an out-of-sample validation set of 56,000 patient cases. CONCLUSIONS: Covid-19 ML-severity assessments showed strong accuracy, sensitivity, and specificity in identifying severe clinical presentations. The deployed web-app showed high adoption with members receiving relevant decision support. Flu algorithm performance could be bolstered by inclusion of biometric features. Additional controlled trials could be conducted to establish validated markers of health improvement and early illness detection resulting from Vironix use. The overall methodology for mapping clinical characteristic data into patient scenarios for training ML classifiers of health deterioration is generalizable for a variety of potential software and hardware deployments across disease spaces. CLINICAL IMPLICATIONS: The technology detailed in this study represents a potential low cost, scalable, hardware/software agnostic, global solution for early detection and intervention on infectious respiratory illness. These solutions can be integrated into remote care and institutional wellness workflows to support public health initiatives. DISCLOSURES: No relevant relationships by Anna Berryman, source=Web Response No relevant relationships by Shreyas Iyer, source=Web Response No relevant relationships by Vinay Konda, source=Web Response Advisory Committee Member relationship with ABMRCC Please note: $1-$1000 by Chris Landon, source=Web Response, value=Consulting fee Removed 04/28/2021 by Chris Landon, source=Web Response Consultant relationship with ABM Respiratory Please note: 11/20 - date Added 04/30/2021 by Chris Landon, source=Web Response, value=Consulting fee no disclosure on file for Nicholas Mark;No relevant relationships by James Morrill, source=Web R sponse No relevant relationships by Sriram Ramanathan, source=Web Response Owner/Founder relationship with Vironix Health, Inc Please note: 05/2020 - Present Added 04/28/2021 by Sumanth Swaminathan, source=Web Response, value=Ownership interest Owner/Founder relationship with Vironix Health Please note: 04/2020-Now Added 05/10/2021 by Botros Toro, source=Web Response, value=Ownership interest Consultant relationship with Vironix Please note: 2019-present Added 04/28/2021 by Nicholas Wysham, source=Web Response, value=Ownership interest | Chest | 2021 | | CORD-19 |
6072 | The disruption of the international supply chain: Firm resilience and knowledge preparedness to tackle the COVID-19 outbreak The lockdowns of several countries due to COVID-19 outbreak resulted in severe economic consequences, among which was the immediate general disruption of the international supply chain, with few exceptions. This article aims to investigate whether some supply chains were resilient or not and why, using a knowledge-based approach and specifically focusing on the role played by supply chain innovation in building resilience to disruptions, thanks to knowledge preparedness. The study is motivated by two main rationales: the unique situation of a global pandemic and the absence of studies providing grounded evidences of supply chain resilience in a worst-case scenario. The research is based on the assumption that knowledge preparedness introduces logistics/supply chain innovations and enables companies to prevent, detect, and respond to unpredictable negative events. By using a large-scale sample of European firms' data from the Eurostat and a multivariate regression analysis, the authors cross-study the effects of supply chain knowledge preparedness – based on innovation type and expenditures – on the international trade of goods from January to June 2020. The results confirm that the most resilient supply chains were those that had previously introduced innovations, a factor that strengthens the knowledge preparedness of firms when faced with unforeseeable supply chain disruptions. | N/A | 2021 | | CORD-19 |
6073 | Update SARS-CoV-2 Behandlungsempfehlungen für die Intensivmedizin | N/A | 2022 | | CORD-19 |
6074 | Development of a catalytic coating material with high antiviral effect: the inactivation of human coronavirus through the new coating material | N/A | 2022 | | CORD-19 |
6075 | [Translated article] Intermediate Respiratory Care Units (RICUs) During the COVID-19 Pandemic. The Reality | Arch Bronconeumol | 2022 | | CORD-19 |
6076 | Le manque d'attractivité du métier d'aide-soignant | N/A | 2022 | | CORD-19 |
6077 | Older Adults Knowledge about using smart technology during the Covid-19 crisis-a qualitative pilot study Introduction: The exponential increase of the older population is coinciding with the growing challenges of digital technology in the different socio-cultural environments. This pilot study aimed to examine the knowledge of institutionalized elderly people about the use of technology and digital literacy and to analyze the perspectives of older users on the impact of smart technology on their lives during the Covid-19 pandemic. Methods: 10 users of the Home for the Elderly and Infirm Jordanovac, Zagreb participated in a semi-structured 1:1 interview conducted in January 2021 after the approval of the Ethics Committee, respecting all epidemiologically prescribed measures. All narratives were recorded, then transcribed into tables, and went through a content analysis process. Results: All 10 participants (average age: 83.4) use and own a mobile device, but only 4 of them use smart devices. They mostly use ordinary calls for communication, and of the applications, with only 3 users, Viber, WhatsApp, and video calling are equally represented. Only one user uses Skype to communicate with their family. Discussion: Despite long-term isolation, respondents do not see technology as an opportunity to establish and maintain social contacts and do not have enough knowledge about using it. Most were educated on their own or by their families, which can be a good starting point for developing strategies in the form of activating volunteers who would teach the elderly about the possibilities of using digital content after the Covid crisis. | N/A | 2021 | | CORD-19 |
6078 | Interview Bernd Fitzenberger für „Wirtschafts- und Sozialstatistisches Archiv" | N/A | 2022 | | CORD-19 |
6079 | Government opens consultation on ending mandatory vaccination | N/A | 2022 | | CORD-19 |
6080 | Returning to work | N/A | 2022 | | CORD-19 |
6081 | New shield could offer better protection during dental surgery | N/A | 2022 | | CORD-19 |
6082 | Estimating the Economic Effects of the Early Covid-19 Emergency Response in Cities Using Intracity Travel Intensity Data In the early days of the Covid-19 pandemic, China implemented the most stringent and serious emergency response. To understand the effect of such an emergency response strategy on the economic system, this study proposed a simultaneous overall estimation method using intracity travel intensity data. The overall effect is represented by the difference between intracity travel intensity with and without the emergency response. Using historical data and time series analysis, we compared intracity travel intensity post China’s implementation of the emergency response with predicted intracity travel intensity without such a response. The loss rates, defined by the proportion of intracity travel intensity loss, were calculated for 360 cities within 33 provincial-level regions in China based on data availability. We found that 30 days after the emergency response, 21% of the cities saw over 80% recovery and 10% of the cities showed more than 90% recovery; 45 days after the emergency response, more than 83% of the 360 cities witnessed 80% recovery. The correlation between gross domestic production loss rate and travel intensity loss rate was studied quantitatively to demonstrate the representativeness of the intracity travel intensity loss rate. This indicator was also used to analyze the spatial and temporal patterns of the effects on the economy. The results of this study can help us understand the economic effects caused by the early Covid-19 emergency response and the method can be a reference for fast and real-time economic loss estimation to support emergency response decision making under pandemic conditions. | N/A | 2022 | | CORD-19 |
6083 | A proposed modified SEIQR epidemic model to analyze the COVID-19 spreading in Saudi Arabia The key aim of this paper is to construct a modified version of the SEIQR essential disease dynamics model for the COVID-19 emergence. The modified SEIQR pandemic model takes a groundbreaking approach to evaluate and monitor the COVID-19 epidemic. The complex studies presented in this paper are based on real-world data from Saudi Arabia. A reproduction number and a systematic stability analysis are included in the new version of SEIQR model dynamics. Using the Jacobian linearization process, we can obtain the domain of the solution and the state of equilibrium based on the modified SEIQR model. The equilibrium and its importance have been identified, and the disease-free stability of the equilibrium has been investigated. The reproduction number was calculated using internal metrics, and the global stability of the current model's equilibrium was demonstrated using Lyapunov's stability theorem. To see how well the SEIQR proposed model went, it was compared to real COVID-19 spread data in Saudi Arabia. According to the results, the new SEIQR proposed model is a good match for researching the spread of epidemics like COVID-19. In the end, we presented an optimal protocol to prevent the dissemination of COVID-19. Staying at home and transporting sick people as far as possible to a safe region is the most effective strategy to prevent COVID-19 spread. It is critical to offer infected people safe and effective treatment, as well as antibiotics and nutrients to non-affected people. To detect confirmed infections, we must provide more effective and reliable diagnostic methods. Furthermore, increasing understanding of how to recognize the disease, its symptoms, and how to confirm the infection. | N/A | 2021 | | CORD-19 |
6084 | POS-623 NUTRITIONAL STATUS BY SOCIOECONOMIC GROUP DURING COVID-19 PANDEMIC IN HAEMODIALYSIS PATIENTS | Kidney Int Rep | 2022 | | CORD-19 |
6085 | Values and Ethics in Information Systems: A State-of-the-Art Analysis and Avenues for Future Research | N/A | 2022 | | CORD-19 |
6086 | Die nächsten Etappenschritte für die Zeitschrift für Epileptologie während 2021, oder „Stairways to heaven"? | N/A | 2022 | | CORD-19 |
6087 | Mitteilungen der Österreichischen Gesellschaft für Epileptologie | N/A | 2022 | | CORD-19 |
6088 | Some implications of the new global digital economy for financial regulation and supervision The digital economy is leading to substantial changes in the financial sector. Not surprisingly, it raises a number of sensitive legal issues. (1) New technologies and big data are expected to increase efficiency in the financial sector. But some limits need to be drawn in order to protect the fundamental rights at stake, such as privacy and non-discrimination. (2) The application of the so called supervisory technology (SupTech) can improve financial supervision, but it does not seem to alter its legal foundations. (3) We have to consider the role that big techs might play in the financial system and whether they should be subject to a tailor made regulation. (4) Digital currencies take us to the basics of what money is and to wonder what the role of the State is in relation to it. (5) Finally, we have to consider the implications that the creation of an official digital currency could have for the financial system. | N/A | 2022 | | CORD-19 |
6089 | [Translated article] COVID-19 in Youth and the Fifth Wave | Arch Bronconeumol | 2022 | | CORD-19 |
6090 | All-textile inspired-folded dipole antennas for on/off-body communications medical applications Two textile-based printed inspired Folded Dipole Antennas (FDAs) are presented in this paper for health monitoring of Covid-19 infected patients. The first antenna has an overall size of 80 mm × 20 mm and is mounted on the human's chest, while the second one is backed by a 2 × 4 textile Artificial Magnetic Conductor (AMC) array structure and is mounted on a surgical mask that covers the human’s mouth. The first antenna is designed to work at center frequency, bandwidth, and gain of 2.45 GHz, 116.6 MHz and −2.45 dB, respectively. The second antenna works at 2.4 GHz with bandwidth of 76.6 MHz and gain of 2.71 dB. The SAR results equal 0.524 W/Kg and 0.255 W/Kg at 1 g and 10 g, respectively, for the first antenna and 0.0174 W/Kg and 0.0091 W/Kg, respectively, for the second one. The previous specifications of the two antennas enable them to be utilized in wearable applications and Wi-Fi services. | N/A | 2022 | | CORD-19 |
6091 | [Translated article] Pulmonary Vascular Tone Dysregulation and Microthrombosis in COVID-19 | Arch Bronconeumol | 2022 | | CORD-19 |
6092 | Impact of COVID-19 Pandemic on Particulate Matter (PM) concentration and harmful gaseous components on Indian metros The COVID-19 pandemic has created a heartbreaking situation across the globe. It is affecting the human population both in terms of health issues and food safety concerns. Most of the countries are struggling to save their economies during the lock-down conditions. The fight against the COVID-19 is very tough; either one can save the economy or save his country's human population. It seems COVID-19 have all the negative impact across the world. However, there is also some positive impact of this pandemic, where we observe much reduced environmental pollution. There has been significant improvement in the air quality at almost all the places where lock-down is implemented. Air pollution directly affects our health and hence the quality of life. In India, air quality has improved much beyond our expectations during the lock-down. This paper studies the positive impact of the COVID-19 pandemic on air pollution in major Indian cities. In the air quality rating, the paper considers types of air pollutants like Particulate Matters and Gaseous Components as benchmarks. Authors have also used available literature to study the ongoing pollution measurements, impact, and change over time. The study analysed available air quality data of four metros, i.e., Delhi, Kolkata, Mumbai, and Chennai, over the four months (National Lockdown). Two particulate matters (PM-2.5 and PM-10) pollution levels are compared with last year's values to identify the significant variations. Moreover, Gaseous components are used to analyse their impact on the country's human health and food ecosystem. The study analyses the effect of COVID-19 on air pollution, and the general recommendations are given. Paper identifies that there is a very good or positive impact of closing polluting units and vehicular movements. | N/A | 2021 | | CORD-19 |
6093 | POS-924 PROGNOSIS AND RISKS FACTORS OF KIDNEY FAILURE DURING COVID-19 DISEASE: SINGLE-CENTER SURVEY IN TOGO | Kidney Int Rep | 2022 | | CORD-19 |
6094 | POS-917 COVID-19 CAUSED CHRONIC KIDNEY DISEASE | Kidney Int Rep | 2022 | | CORD-19 |
6095 | POS-075 ACCURACY OF URINE BIOMARKERS TISSUE INHIBITOR OF METALLOPROTEINASES-2 AND INSULIN-LIKE GROWTH FACTOR BINDING PROTEIN-7 ([TIMP-2]∙[IGFBP-7]) IN PREDICTING ACUTE KIDNEY INJURY AMONG ADULT HOSPITALIZED COVID-19 PATIENTS | Kidney Int Rep | 2022 | | CORD-19 |
6096 | POS-906 TREATMENT WITH RECOMBINANT MUTATED HUMAN ANGIOPOIETIN-LIKE 4 AMELIORATES GLOMERULAR INJURY IN A MODEL OF THE COVID-19 CYTOKINE STORM Introduction: Some patients with COVID-19 infection develop proteinuria or Acute Kidney Injury, and cases of COVID-19 related Collapsing Glomerulopathy have also been reported. Three published human kidney biopsy studies did not find viral particles in the glomeruli or tubules. This raises the possibility of glomerular and kidney injury induced by the extensive cytokine storm documented early on in the pandemic in hospitalized COVID-19 patients. Mutated forms of Human Angiopoietin-like 4 (protein 8520) were previously shown to reduce proteinuria in rat models of FSGS and diabetic nephropathy (Clement LC, Mace C et al. Nature Medicine 2014). Using different components or innate and adaptive immunity triggered during infection, we developed cytokine cocktails that mimic the COVID-19 cytokine storm, and tested the ability of protein 8520 to reduce glomerular injury in this model. Methods: After baseline urine and blood collections, two groups of BALB/c mice (mean n = 5 mice per group) were injected intravenously with dose 1.8 X of COVID Cocktail D. One hour later, they received 10 μg of His-Tag purified protein 8520 or control human albumin. Overall activity status was documented at 6 and 24 hours. At 24 hours after model induction, blood and urine samples were collected, and the mice euthanized, followed by harvesting of multiple organs including kidneys. Urine albumin was measured by ELISA (Bethyl Labs), and urine and serum creatinine by Mass Spectrometry. Results: Baseline urine albumin to creatinine ratio was similar between the two groups. At 24 hours, urine albumin to creatinine ratio was significantly lower in the 8520 treated compared to control treated group (P < 0.05). Serum creatinine on Day 1 was similar between both groups, and not significantly elevated compared to baseline. Kidney sections were processed for light and electron microscopy, and analysis of these studies is in progress. Conclusions: Treatment with recombinant mutated human Angiopoietin-like 4 reduces albuminuria in a mouse model of the COVID-19 cytokine storm. Further studies will be conducted to establish a potential therapeutic role in viral cytokine storms. No conflict of interest | Kidney Int Rep | 2022 | | CORD-19 |
6097 | POS-891 HEMODIALYSIS PATIENTS WITH SEVERE COVID-19: REDUCED ANTIBODY RESPONSE | Kidney Int Rep | 2022 | | CORD-19 |
6098 | Study and comparative approach to materials used in ancient Egypt and the modern era It is widely recognized that today people around the world still admire the Egyptian civilization and wonder how Egyptians came to manufacture mortar. The present work aims to study the construction materials that were used in ancient Egypt and their development over time. To do this, it was decided to first evaluate the physical and mechanical performances of the building materials used at that time and then try to investigate and understand the handling process as well as the construction methods adopted currently. For this, cement (NA442 CEM II/B-L 42.5 N) and local sand were replaced at different proportions with lime in the formulation of mortar, the sand used whose mixture was relative to that of the sand (0/4) and (0/1) values of 65% and 35%, respectively. A number of tests were carried out on two types of mortar prepared with two different formulations. The first formulation, which included quicklime, was subjected to a simple treatment in order to obtain aerial lime and to understand the different formulation stages that were followed in the Ancient Egyptian times. Knowing that the objective was to revive the method of manufacturing works from the ancient era, thus using a variable rate of substitution (0%, 50% to 70%) of lime, limestone and gypsum to obtain the binder by also studying the stakes of this variation on the reduction of the quantity of cement in the mortar which consisted in the preparation of fourteen test series in order to converge on the impact of the experiments sought. The second one consisted, at a later time, in preparing some series of mortar incorporating aerial lime brought from the manufacturing plant. After analyzing the prepared material, it was deemed interesting to attempt to quantitatively reconstruct the composition of the material using the Vicat test for the purpose of assessing the cement slurry setting process for stylolithic joints which, to the best of our knowledge, are very well developed only in limestones. Also noting that, the composition of the mortar and the rate of substitution evolved according to the results obtained upstream while keeping the objective of this research which was to reproduce a composition compatible with the old days. | N/A | 2022 | | CORD-19 |
6099 | Standort-Info | N/A | 2022 | | CORD-19 |
6100 | POS-925 FACTORS PREDICTIVE OF ANTI-SPIKE ANTIBODIES TITERS AFTER COVID-19 VACCINATION IN HEMODIALYSIS PATIENTS | Kidney Int Rep | 2022 | | CORD-19 |