This version of BIP! Finder aims to ease the exploration of COVID-19-related literature by enabling ranking articles based on various impact metrics.
Last Update: 18 - 01 - 2023 (628506 entries)
Popularity: Citation-based measure reflecting the current impact.
Influence: Citation-based measure reflecting the total impact.
Reader Attention: The current number of Mendeley readers.
Social Media Attention: The number of recent tweets related to this article.
*More details on these impact measures can be found here.
Exceptional score (in top 0.01%).
Substantial score (in top 1%).
Average score (in bottom 99%).
Score not available.
CORD-19 dataset(1) (list of papers)
LitCovid hub(2) (list of papers)
PMC & PubMed (citations)
Mendeley (number of readers)
COVID-19-TweetIDs(3) (tweets)
| Title | Venue | Year | Impact | Source | |
|---|---|---|---|---|---|
| 2051 | Behaviors Associated With Household Transmission of SARS-CoV-2 in California and Colorado, January 2021-April 2021 Introduction: Mitigation behaviors are key to preventing SARS-CoV-2 transmission. We identified behaviors associated with secondary transmission from confirmed SARS-CoV-2 primary cases to household contacts and described characteristics associated with reporting these behaviors. Methods: Households with confirmed SARS-CoV-2 infections were recruited in California and Colorado from January to April 2021. Self-reported behaviors and demographic were collected through interviews. We investigated behaviors associated with transmission, and individual and household characteristics associated with behaviors, using univariable and multivariable logistic regression with Generalized Estimating Equations to account for household clustering. Results: Among household contacts of primary cases, 43.3% (133/307) became infected with SARS-CoV-2. Upon adjusted analysis, household contacts who slept in the same bedroom with the primary case (aOR: 2.19, 95% CI: 1.25, 3.84) and ate food prepared by the primary case (aOR: 1.98 95% CI: 1.02, 3.87) had increased odds of SARS-CoV-2 infection. Household contacts in homes ≤2000 ft2 had increased odds of sleeping in the same bedroom as the primary case compared to those in homes >2000 ft2 (aOR: 3.97, 95% CI: 1.73, 9.10). Parents, siblings, and other relationships (extended family, friends, or roommate) of the primary case had decreased odds of eating food prepared by the primary case compared to partners. Conclusion: Sleeping in the same bedroom as the primary case and eating food prepared by the primary case were associated with secondary transmission. Household dimension and relationship to primary case were associated with these behaviors. Our findings encourage innovative means to promote adherence to mitigation measures that reduce household transmission. | N/A | 2022 | CORD-19 | |
| 2052 | Modificaciones en el autocuidado, calidad de vida y adherencia terapéutica en pacientes con artritis reumatoide durante la pandemia por SARS-CoV-2 atendidos por telesalud Introducción La artritis reumatoide (AR) es una enfermedad autoinmune caracterizada por una inflamación crónica que produce dolor y rigidez articular. El SARS-CoV-2 aumenta la vulnerabilidad clínica en pacientes con AR, lo que ha conllevado la implementación o el desarrollo de la telesalud. Objetivo Describir los cambios en el nivel de adherencia terapéutica, la calidad de vida y la capacidad de autocuidado durante el periodo de seguimiento, en un grupo de pacientes con AR vinculados con un modelo de consulta multidisciplinar no presencial, en el curso de la pandemia por SARS-CoV-2. Metodología Estudio de cohorte descriptiva (julio a octubre del 2020). Descripción del nivel de adherencia terapéutica (Test Morisky Green), calidad de vida (EuroQOL-5-Dimensions–3-Level-version) y capacidad de autocuidado (Escala ASA-R) en el contexto de un modelo de telesalud. Se realizó análisis univariado y bivariado (software Stata, valor p considerado<0,05) Resultados De 71 pacientes atendidos en modalidad de telesalud, el 85,9% fueron mujeres, la mediana de la edad fue de 63(33-86) años. La comorbilidad más prevalente fue la hipertensión (35,2%). La calidad de vida no tuvo cambios durante el seguimiento, al igual que la adherencia al tratamiento, excepto en uno de los ítems [los pacientes no dejaron de tomar la medicación cuando se encontraban bien (p=0,029)]. En la capacidad de autocuidado, hubo mejoras significativas en 5 dimensiones (p<0,05), sin diferencias significativas en el puntaje global. Conclusión Los pacientes con AR evaluados en el contexto de la telesalud, en un periodo de pandemia, no presentaron cambios significativos en la calidad de vida, la adherencia al tratamiento y la capacidad de autocuidado; se mantuvieron en niveles similares a los valores basales cuando asistían a valoración tradicional presencial. Introduction Rheumatoid arthritis (RA) is an autoimmune disease characterized by chronic inflammation, causing pain and stiffness in the joints. SARS-CoV-2 increases the clinical vulnerability of the population with RA and has led to the implementation and/or development of telemedicine. Objective To describe changes in level of therapeutic adherence, quality of life and capacity for self-care agency, during the follow-up period of a group of patients linked to a non-face-to-face multidisciplinary consultation model during the SARS-CoV-2 pandemic. Methodology Descriptive cohort study (July to October 2020). Description of the level of therapeutic adherence (Morisky Green Test), quality of life (EuroQOL-5-Dimensions-3-Level-version) and self-care capacity (ASA-R Scale) in the context of a telehealth model. A univariate and bivariate analysis was performed (Stata Software, Considered p-value<05) Results Of 71 patients treated under the telehealth model, 85.9% were women, the age range was between 33 and 86 years with a median of 63. The most prevalent comorbidity was arterial hypertension (35.2%). Quality of life did not change during follow-up nor did adherence to treatment, apart from in one item [the patients did not stop taking the medication when they were well (p=.029)]. In self-care capacity, there were significant improvements in five dimensions (p<.05), without significant differences in the global score. Conclusion Patients with RA evaluated in the context of telehealth in a period of pandemic did not present significant changes in quality of life, adherence to treatment, or capacity for self-care, and remained close to baseline values when they attended a traditional face-to-face assessment. | N/A | 2022 | CORD-19 | |
| 2053 | Investigating effect of COVID-19 on NO2 density using remote sensing products (case study: Tehran province) The first case of COVID-19 was detected in Iran on February 19, 2020. From the beginning of the pandemic, some restrictions have been imposed to reduce the spread of the pandemic, which have led to the reduction or temporary closure of some industrial, construction, and transportation sectors. These sectors are typically some sources of pollutants induced to the atmosphere. The purpose of this study was to investigate the impact of the restrictions caused by the pandemic, on the concentration of nitrogen dioxide (NO(2)) in the atmosphere of Tehran province. Average daily and monthly NO(2) concentrations from the TROPOMI sensor of Sentinel-5P satellite before and after the pandemic (i.e., February 20 to August 19, 2020, and February 20 to August 19, 2019) were used. The results showed that the average NO(2) concentration in the mentioned period in 2020 was equal to 168.09 μmol/m(2), which compared to 2019 (195.11 μmol/m(2)), had a decrease of 13.85%. Therefore, the imposed restrictions to reduce the prevalence of COVID-19 in Tehran province have an impact on the temporary decrease in NO(2) concentration. It is recommended that after the end of the pandemic and the reconstruction of economic and industrial activities, measures will be taken to monitor the urban environmental loads and improve the air quality. | N/A | 2022 | CORD-19 | |
| 2054 | Welche Rolle spielen die soziale Herkunft und die Schulform für die Wahrnehmung von digitalem Feedback und das akademische Selbstkonzept während der COVID-19 Pandemie? How students perceive feedback shapes the impact of feedback on academic achievement and the development of academic self-concepts. The COVID-19 pandemic changed the framework of school learning and thus the opportunities for feedback in the classroom. In the present study, a sample of 668 students from different types of schools was used to investigate how often they received digital feedback from teachers and how they perceived the feedback. We analysed the role of school type and social background (socioeconomic status and migration background) in the perception of feedback and whether social background, school type, and perceived feedback can predict academic self-concept. In terms of school type, students in the higher academic track (Gymnasium) perceived their teachers’ feedback as less fair, accepted it less, and saw less benefit in the feedback. The social background of students with and without a migration background did not play a significant role in their perception of the feedback. The results of a multiple regression model showed that socioeconomic status, perceived fairness, and usefulness of the feedback were positive predictors of academic self-concept in distance education. Thus, the present study provides preliminary evidence on the perception of digital feedback and its relationship to academic self-concept. The results imply that teachers should more strongly incorporate students’ perceptions of feedback to especially enhance academic self-concept. | N/A | 2022 | CORD-19 | |
| 2055 | Investigation of COVID-19 and scientific analysis big data analytics with the help of machine learning This book chapter presents the review of COVID-19 and its status, as well as the scientific Analysis big data analytics with the help of machine learning. We provide in-depth literature review, and provide a summary of the current AI and machine learning methods, which have become increasingly important to provide accurate analyses. Various conceptual diagrams have been used to illustrate how different technologies can contribute to effective analyses for COVID-19. We demonstrate our work from both theoretical contributions and practical implementations. | Novel AI and Data Science Adva | 2022 | CORD-19 | |
| 2056 | Deep learning-based hybrid models for prediction of COVID-19 using chest X-ray The ongoing COVID-19 virus infection has ended up being the biggest pandemic to hit mankind in the last century. It has infected in excess of 50 Million across the globe and has taken in excess of 1.5 Million lives. It has posed problems even to the best healthcare systems across the globe. The best way to reduce the spread and damage of COVID-19 is by early detection of the infection and quarantining the infected patients with necessary medical care. COVID-19 infection can be detected by a chest X-ray. With limited rapid COVID-19 testing kits, this approach of detection with the aid of deep learning can be adopted. The only problem being, the side effects of COVID-19 infection imitate those of conventional Pneumonia, which adds some complexity in utilizing the Chest X-rays for its prediction. In this investigation, we attempt to investigate four approaches i.e., Feature Ensemble, Feature Extraction, Layer Modification and weighted Max voting utilizing State of the Art pre-trained models to accurately identify between COVID-19 Pneumonia, Non-COVID-19 Pneumonia, and Healthy Chest X-ray images. Since very few images of patients with COVID-19 are publicly available, we utilized combinations of image processing and data augmentation methods to build more samples to improve the quality of predictions. Our best model i.e., Modified VGG-16, has achieved an accuracy of 99.5216%. More importantly, this model did not predict a False Negative Normal (i.e., infected case predicted as normal), making it the most attractive feature of the study. The establishment of such an approach will be useful to predict the outbreak early, which in turn can aid in controlling it effectively. | Novel AI and Data Science Adva | 2022 | CORD-19 | |
| 2057 | Role of artificial intelligence in fast-track drug discovery and vaccine development for COVID-19 COVID-19 is a global pandemic spread across more than 200 countries and several measures are being taken to control it. Researchers in pharmaceutical academia/industry are incessantly targeting this disease through vaccine and drug development protocols. Artificial intelligence is being extensively explored for surveillance, diagnostics, contact tracing, and for clinical management of COVID-19. The most common application has been for repurposing of existing drugs through various AI tools. Successful training of artificial neural networks based on identification of specific patterns in binding of known antiviral drugs with protein sequences from diverse virus species have generated models giving good predictions for molecules against SARS-CoV-2 virus, in sync with clinical studies. ML tools have also been used to investigate immunogenic components of the virus to be exploited as vaccine candidates. In this chapter, the utilization of artificial intelligence to accelerate drug-design and vaccine design research for COVID-19 has been reviewed. | Novel AI and Data Science Adva | 2022 | CORD-19 | |
| 2058 | Cloud-based data pipeline orchestration platform for COVID-19 evidence-based analytics Identifying high-quality publications remains a critical challenge for health-care data consumers (e.g., immunologists, clinical researchers) who seek to make timely decisions related to the COVID-19 pandemic response. Currently, researchers perform a manual literature review process to compile and analyze publications from disparate medical journal databases. Such a process is cumbersome, inefficient, and increases the time to complete research tasks. In this book chapter, we describe a cloud-based, intelligent data pipeline orchestration platform, viz., “OnTimeEvidence” that provides health-care consumers with easy access to publication archives and analytics tools for rapid pandemic-related knowledge discovery tasks. This platform aims to reduce the burden and expensive time to find, sort, and analyze publications in terms of their level of evidence. We also present a case study of how OnTimeEvidence platform can be configured to help health-care data consumers to combine and analyze multiple data sources using interactive interfaces featuring workspaces equipped with analytics tools. | Novel AI and Data Science Adva | 2022 | CORD-19 | |
| 2059 | The economic impact of covid-19 and the role of AI The present article is being written against the backdrop of the worldwide microeconomic crisis, which has raised a question mark on our very existence. Of course, during the last few centuries, several epidemics and pandemics have ravaged this world. The COVID-19 infection has spread its tentacles far and wide. During the COVID-19 pandemic, many countries worldwide resorted to lockdown to break the chain of viral infection. Confinement of people to four walls has staged the micro economy to its belly button. The crisis has opened a new theme to anchor globally to recognize the migrant laborers and understanding their capabilities, developing an artificially intelligent data trust and cognitive response system to address the ongoing challenge. The present chapter is outlined to address the latent psychological response of migrant laborers, the potential for establishing micro skill clusters and the role of artificial intelligence (AI) to combat Covid-19. | Novel AI and Data Science Adva | 2022 | CORD-19 | |
| 2060 | Threat model and security analysis of video conferencing systems as a communication paradigm during the COVID-19 pandemic During the age of the COVID-19 pandemic, video conferencing and collaborative tools have seen an enormous demand. This technology allows us to have real-time interaction during this social distancing era, primarily to facilitate remote working, file sharing, and social interaction. While video conferencing technology is not new, it has emerged as a new paradigm of communication. As video conferencing becomes commonplace and people increasingly rely on it, meetings are becoming a target for cyberattackers. Enforcing appropriate security and privacy settings prevents attackers from exploiting the system. Threat modeling optimizes security by identifying objectives, vulnerabilities and defining the plan to mitigate or prevent potential threats to the system. In this paper, we use the widely accepted STRIDE threat modeling technique to identify all possible risks to video conferencing tools and suggest mitigation strategies for creating a safe and secure system. | Novel AI and Data Science Adva | 2022 | CORD-19 | |
| 2061 | Modeling viral infection with tissue engineering: COVID-19 and the next outbreaks Pandemics caused by respiratory viruses have impacted millions of lives and caused massive destruction to global infrastructure. With their emergence, it has become a priority to develop platforms to rapidly dissect host/pathogen interactions, develop diagnostics, and evaluate therapeutics. Traditional viral culture methods do not faithfully recapitulate key aspects of infection. Tissue engineering as a discipline has developed techniques to produce three-dimensional human tissues which can serve as platforms to study respiratory viruses in vitro. In this chapter, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has been used as a representative respiratory virus motivating the use of tissue engineering to generate in vitro culture models. SARS-CoV-2 pathophysiology, traditional cell culture, tissue engineering-based cell culture, and future directions for the field are highlighted. | Tissue Engineering | 2022 | CORD-19 | |
| 2062 | Using interpretable machine learning identify factors contributing to COVID-19 cases in the United States COVID-19 has been declared as a “pandemic” by the World Health Organization (WHO) and has claimed more than a million lives and over 50 million confirmed cases worldwide as of 7th November 2020. This virus can be curbed in only two ways: vaccination and other by imposing non-pharmaceutical interventions (NPIs), which are behavioral changes to a person and community. Most of the nations worldwide have imposed NPIs in the form of social distancing and lockdowns, which have been effective in reducing the pace of the virus's spread, but continued implementation has deemed social and economic losses. Hence strategic implementation of NPIs in a burst of periods should be done based on educated decisions using data about population mobility trends to find hot zones that lead to a spike in cases. These decisions will positively impact the virus's spread with lower damage to social and economic aspects. | Novel AI and Data Science Adva | 2022 | CORD-19 | |
| 2063 | An optimized CNN based automated COVID-19 lung infection identification technique from C.T. images The Novel Coronavirus, commonly known as COVID-19, is a highly contagious disease that spreads all over the globe has brought great suffering. The symptoms have made all ages suffer a lot. The diagnostics of COVID-19 is an excellent challenge for the medical field as the mutated form of the virus gives out its symptoms in different forms. The main diagnostics to be involved in this infection of COVID-19 is the Lung operation. Especially the automatic detection of the lungs' infection using chest X-rays provides the comprehensive possibility for healthcare professionals to develop hospital procedures to handle this COVID-19. Computed tomography scans are used to diagnose the lungs' infection caused by the Coronavirus, whereas the C.T. scans break the infected region from lung lesions. It is imperative to measure the disease progression, which is challenging to track down and treat accurately. Currently, Segmenting the contaminated regions from the C.T. slices can create loads of problems, which involves more alteration in contamination nature and minor power disagreement in the center of the infected tissues and the typical material. This chapter aims to segment the infection in the lungs using SqueezeNet as the Convolutional Neural Network (CNN) to recognize the contaminated regions automatically. This approach may be useful to help in the accuracy of the C.T more accurately. It has been ensured based on Dice scores, sensitivity, and high precision, specificity. The results achieved with the proposed model are low for the former and directly proportional to the latter compared with existing methods. | Novel AI and Data Science Adva | 2022 | CORD-19 | |
| 2064 | Augmented reality, virtual reality and new age technologies demand escalates amid COVID-19 The coronavirus disease (COVID-19) pandemic is having a significant impact on healthcare, education, economics and general human well-being. Augmented reality (AR) and virtual reality (VR) have experienced a tremendous increase in demand as they play an important role in avoiding travel, social contacts and providing adequate audiovisual communication and virtual presence. AR/VR is helping in the fight of this pandemic through their deployment in various crucial areas such as telemedicine, online education and training, marketing and healthcare monitoring. AR/VR provides resolutions for the distribution of antibiotics to control the spread of the COVID-19 virus. This paper discusses the demand for AR and VR as well as other notable new technologies explored recently to support the fight against COVID-19. The same technologies are in high demand, in the form of 2D-3D visualization and tracking software, flow and dynamic wearable headsets, potentially responsible for displaying the geographic location mostly affected with COVID-19. | Novel AI and Data Science Adva | 2022 | CORD-19 | |
| 2065 | Brève: " Voyageurs, évitez Omicron ", conseille l'OMS | N/A | 2022 | CORD-19 | |
| 2066 | Une indemnité compensatrice pour les congés non pris à cause de la Covid-19 | N/A | 2022 | CORD-19 | |
| 2067 | Des cas d'irrégularité du cycle féminin en lien avec les vaccins ARNm | N/A | 2022 | CORD-19 | |
| 2068 | L'EMA recommande une autorisation de mise sur le marché conditionnelle pour Paxlovid | N/A | 2022 | CORD-19 | |
| 2069 | Partenariat franco-américain pour un anticorps monoclonal anti-Sars-CoV-2 Cenexi, acteur français du façonnage pharmaceutique, spécialisé dans la formulation de produits stériles, et Humanigen, biopharma américaine, annoncent un partenariat visant à faire de Cenexi le fournisseur exclusif de l’anticorps monoclonal lenzilumab en Europe. | N/A | 2022 | CORD-19 | |
| 2070 | Conseils de gestion de l'Union européenne sur le risque des plans de vaccination La commission de pharmacovigilance d’évaluation du risque a mis à jour les directives des plans de gestion du risque avec les vaccins anti-Covid-19. | N/A | 2022 | CORD-19 | |
| 2071 | Transforming habitus and recalibrating capital: University students' experiences in online learning and communication during the COVID-19 pandemic The COVID-19 pandemic has brought various challenges to the education domain globally. This study examines how a group of non-local university students studying at EMI universities in Hong Kong adjusted to the dominant online mode of learning and communication based on their lived experiences in learning and intercultural social networking during the pandemic. Employing the theory of digital literacies and Bourdieu's concepts of habitus and capital, we show how students expanded, redeveloped and transferred existing awareness, knowledge, competences and practices to engage in a range of digitally mediated academic and social activities in this condition. We conclude by discussing how the findings may inform refinement or readjustment of digitalized/zing international higher education. | N/A | 2022 | CORD-19 | |
| 2072 | The Indian fashion and textile sector in and post-COVID-19 times The fashion and textile sectors have proved to be the socio-economic booster for developing countries in the last two decades. This article looks into the challenges faced by the Indian fashion and textiles sector in and post-pandemic. The current COVID-19 crisis has presented the sector with a unique set of challenges that are indeed the future strategies. Primary and secondary research methods were used to explore the impact of the pandemic on the sector in India. A systematic literature review (S.L.R.) is carried out to collect secondary data from scientific journals and development corporations. For primary research, top managers and owners from ten large-size fashion and textile companies were qualitatively interviewed to validate the secondary data. The value chain analysis (V.C.A.) model was used to perform a stage-wise analysis to provides an assessment of the current scenario and recommend solutions accordingly. Existing literature discusses the impact on the Indian economy in general and there is no significant research on the fashion and textile sector. In accordance with the empirical evidence, the author has developed a digital value chain model that is novel to the sector. It shall help both the domestic and export sector to come back to business and prepare for a similar crisis in the future. | N/A | 2022 | CORD-19 | |
| 2073 | Hoher Schutzeffekt bei Krebskranken bestätigt | N/A | 2022 | CORD-19 | |
| 2074 | COVID-19: Erektile Dysfunktion als Langzeitfolge? | N/A | 2022 | CORD-19 | |
| 2075 | Behavioral symptoms among children and adolescents with attention deficit hyperactivity disorder during COVID-19 outbreak: a retrospective prospective cohort study BACKGROUND: Attention deficit hyperactivity disorder (ADHD) is one of the most prevalent neurodevelopmental conditions in children, and with the coronavirus pandemic, ADHD children now pose obvious challenges. This retrospective prospective cohort study was conducted on 150 ADHD children and adolescents that had previously attended the child unit of the Psychiatry Department, Zagazig University Hospitals, Sharkia, Egypt, and diagnosed as ADHD patients using the research diagnostic criteria of DSM-5 which administrated by experienced psychiatrists and evaluated by The Arabic version of Conner’s Parent Rating Scale Revised-short version (CPRS-48) before the onset of COVID-19 pandemic. We collected the other data of the study by applying an Arabic language questionnaire which included the data related to the COVID -19 pandemic and the Arabic version of CPRS-48 by which we reevaluated the behavioral symptoms of the subjects who participated in the study during COVID-19 pandemic. This research aimed to evaluate the behavioral symptoms among ADHD children and adolescents and detect the change in these symptoms during the COVID-19 pandemic by comparing them before and during the pandemic. RESULTS: One hundred fifty ADHD children were included in the study with a mean age of 10 years old. The male gender was predominant and represented 76.7% of the sample. Ninety percent were living in urban areas with more low social class (50%), 84.7% of parents were married, 60% of the family member of our subjects had COVID-19 while 12% lost one or more of their relative by the pandemic (64.7%). The fathers continued working as normal, while 40.7% of the mothers stopped working because of COVID-19. 62.7% of the parents were verbally and physically abusive to their children. Unfortunately, 100% of the subjects stopped attending their behavioral therapy center, 96.0% stopped their Follow up with a psychiatrist, and 55% stopped complying with their medications. As we presumed, we found a statistically significant change in the behavioral and psychological symptoms measured by Conner’s Parent Rating Scale Revised-short version (CPRS-48) during the COVID-19 pandemic compared to the period before. The worsening of the symptoms was associated with age, sex, residency, social class, father and mother present working and couple status, having positive cases or losses of COVID-19 among family members, and patient maltreatment. CONCLUSIONS: To conclude, this study suggests that the lockdown caused by the COVID-19 pandemic has worsened symptoms in a significant number of children and adolescents with ADHD, which needs clinical attention. Moreover, the patients’ psychiatric follow-up and compliance with their medications were markedly affected. Additionally, the lockdown has also led to an increase in the abusive behavior of the parents towards their children. | N/A | 2022 | CORD-19 | |
| 2076 | Corona-Impfung macht nicht unfruchtbar | N/A | 2022 | CORD-19 | |
| 2077 | C1 esterase inhibitor-mediated immunosuppression in COVID-19: Friend or foe? From asymptomatic to severe, SARS-CoV-2, causative agent of COVID-19, elicits varying disease severities. Moreover, understanding innate and adaptive immune responses to SARS-CoV-2 is imperative since variants such as Omicron negatively impact adaptive antibody neutralization. Severe COVID-19 is, in part, associated with aberrant activation of complement and Factor XII (FXIIa), initiator of contact system activation. Paradoxically, a protein that inhibits the three known pathways of complement activation and FXIIa, C1 esterase inhibitor (C1-INH), is increased in COVID-19 patient plasma and is associated with disease severity. Here we review the role of C1-INH in the regulation of innate and adaptive immune responses. Additionally, we contextualize regulation of C1-INH and SERPING1, the gene encoding C1-INH, by other pathogens and SARS viruses and propose that viral proteins bind to C1-INH to inhibit its function in severe COVID-19. Finally, we review the current clinical trials and published results of exogenous C1-INH treatment in COVID-19 patients. | N/A | 2022 | CORD-19 | |
| 2078 | Effectiveness of Telehealth for Achilles Tendinopathy on Pain, Function and Pain-Related Psychological Outcomes During COVID-19 SARS-CoV-2 (COVID-19) disrupted accessibility of in-person healthcare and required telehealth to provide continued services remotely. While encouraging evidence on the effectiveness of physical therapy (PT) via telehealth is emerging, limited literature exists on telehealth for Achilles tendinopathy (AT), a common painful condition of the hindfoot. The purpose of this study was to examine the effectiveness of PT for AT pain through varying modes of delivery (in-person, telehealth, hybrid). We hypothesized that all participants would improve with time and there would be no between-group effect for mode of delivery. Sixty-six participants were enrolled. All participants completed 6-7 PT visits over 8 weeks and received patient education and a tendon loading exercise program consisting of 3 phases (isometrics heel-raises, concentric-eccentric heel-raises, spring-phase). Outcomes including movement-evoked pain with heel-raises (NRS, 0-10), TSK-17, and PROMIS-physical function (PROMIS-pf) were assessed at baseline and 8 weeks. Participants completed all in-person visits from September 1st, 2019 to March 16th, 2020. From March 17th to July 15th, 2020 participants completed all telehealth visits, and from July 16th, 2020 to study closeout participants completed either in-person or telehealth visits based on their preference and comfort level. Mixed-effects ANOVAs were utilized to examine for between-group factors (mode of delivery) and within-group factors (time) on all outcomes with post-hoc analyses as appropriate. No significant differences were found between groups at baseline for all outcomes and demographics. All groups demonstrated improvement for movement-evoked pain (5.01/10 at baseline to 1.69/10 at 8-weeks), TSK-17 (37.44 at baseline to 30.99 at 8-weeks), and PROMIS-pf (48.32 at baseline to 50.51 at 8-weeks) with a significant effect for time (p<0.05) but not for mode of PT delivery found. Varying modes of PT delivery for individuals with AT did not have a significant effect on pain, functional, or pain-related psychological outcomes. Grant support from NIH-NIAMS ROO ARR071517. | J Pain | 2022 | CORD-19 | |
| 2079 | The Impact of the COVID-19 Pandemic on Those with Chronic Pain: Preliminary Findings from the Oklahoma Study of Native American Pain Risk Chronic pain affects one-fifth of U.S. adults and causes considerable physical, psychological, and economic burden. The COVID-19 pandemic exacerbated these hardships and disproportionately impacted individuals with pre-existing health conditions like chronic pain. For the present study, follow-up surveys were administered every 6-months to pain-free participants enrolled in the Oklahoma Study of Native American Pain Risk (OK-SNAP) to assess chronic pain onset. Participants were classified as having chronic pain if they endorsed significant pain for >3 months that did not remit on subsequent surveys. An additional survey, the Coronavirus Impact Questionnaire (CIQ), was created and administered in March 2021 to OK-SNAP enrollees to assess self-reported effects of the pandemic. Participants with and without chronic pain were compared on responses to the CIQ. As of December 2020, 18 participants endorsed chronic pain, 23 endorsed intermittent pain, and 80 were pain-free. For the present analyses, participants with intermittent pain were excluded. Ethnic differences were not assessed due to small cell sizes, particularly among those with chronic pain. Results indicated that individuals with chronic pain were more likely to report the following pandemic-related impacts: financial difficulties (p = 0.021), needing financial assistance from others (p = 0.005), loss of access to healthcare/treatment for illnesses that needed immediate attention (p = 0.006), worsening of physical (p = 0.011) or mental health problems (p = 0.032), sleep disruptions (p < 0.001), and increased intake of unhealthy foods (p = 0.047). It appears chronic pain patients experienced more negative impacts from the COVID-19 pandemic than did healthy individuals, but reasons behind this disparity are unclear. Further, ethnic differences were not assessed but could represent a source of variance in pandemic-related outcomes. Further research is needed to ascertain the impact of the COVID-19 pandemic on chronic pain patients and to determine if these effects differ by ethnicity. This research was supported by the National Institute on Minority Health and Health Disparities of the National Institutes of Health under Award Number R01MD007807, and by the University of Tulsa Office of Research and Sponsored Programs. | J Pain | 2022 | CORD-19 | |
| 2080 | Self-Reported COVID-19 Impact on Adolescents with Chronic Widespread Musculoskeletal Pain Research on the impact of COVID-19 on adolescents with chronic pain has focused on outcomes within the initial 6 months of the pandemic and demonstrated some initial improvement in pain interference unless there was economic hardship. Little is known about how the pandemic's progression into a chronic life stressor has impacted this population. The purpose of the current study was to describe the self-reported physical and emotional impact of COVID-19 on adolescents with chronic widespread musculoskeletal pain (CWMP) approximately 6–18 months after the initial shut-down. Participants were 25 female patients and 1 gender fluid patient between 12-17 years (Mage =15.69, SD =1.55) at a tertiary outpatient pain management clinic who were recruited between August 2020 and February 2021. Participants completed the Pain and Symptom Assessment Tool (PSAT) online to determine eligibility. Participants who did not speak English and those with a comorbid chronic illness were excluded from the study. Eligible participants completed a self-report COVID-19 impact scale. All participants completed the COVID-19 impact scale in its entirety. Many indicated worsening physical symptoms related to the pandemic: pain (50%), fatigue (61.5%), physical activity (65.4%), and treatment engagement (50%). The majority of participants endorsed worsening of overall mood (92.3%), anxiety (88.5%), frustration (80.8%), and depressed mood (73.1%). Fewer participants endorsed worsening of sleep: sleep onset (50%), sleep duration (42.3%), and daytime napping (38.5%). Worsening school performance was endorsed by 46.2%. The majority of adolescents with CWMP reported worsening physical and emotional symptoms during the COVID-19 pandemic. The most common finding was worsening mood, which is in-line with the current behavioral health crisis in youth. Clinical implications include routine evaluation of physical and psychosocial symptoms of youth with chronic pain to provide appropriate psychological treatment referrals as the impact of the pandemic may change overtime. This research was supported by the National Institute of Arthritis and Musculoskeletal and Skin Diseases of the National Institutes of Health under award number K23AR073934. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. | J Pain | 2022 | CORD-19 | |
| 2081 | Impact of COVID-19 on the Patient Enrollment for a Pragmatic, Cluster Randomized Clinical Trial for Fibromyalgia The goal was to present our experience on adapting to the challenges of the COVID-19 pandemic during enrollment to a pragmatic clinical trial. Transcutaneous Electrical Nerve Stimulation (TENS) in Physical Therapy (PT) Study (FM-TIPS) is a pragmatic, cluster-randomized clinical trial examining if the addition of TENS to routine PT improves movement-evoked pain in patients with fibromyalgia(FM). FM patients (n=600) will be enrolled from 33 PT clinics (17 PT only, 16 PT with TENS) across six healthcare systems. During the planning year, COVID-19 impacted PT practice and in-person interactions requiring the study team to adapt clinician training and data capture procedures. We will discuss the pandemic's impact during the patient enrollment. We developed alternative strategies to protect study integrity and minimize missing data due to potential restrictions of in-person visits including procedures for electronic consent and training participants in TENS use virtually and/or in-person using personal protective equipment and social distancing. Assessment of the primary outcome variable and questionnaires were transitioned for the patient to perform at home virtually with embedded patient-specific instructional videos. To enhance clinic engagement, weekly enrollment updates, monthly meetings, newsletters, and action plans for underperforming clinics were developed. To increase patient communication, a “welcome” touchpoint by phone, reminder emails, and touchpoints ahead of primary and secondary data collection points were added. Several clinics were added to increase the heterogeneity of the sample, to replace clinics that are unable to participate due to site closures or understaffing, and to decrease the enrollment burden on participating sites. COVID-19 posed considerable challenges to the statistical design and analysis of this pragmatic trial. We developed a plan for uneven enrollment across clinics and a sub-analysis of data for patients enrolled during or after the pandemic. Conducting this trial during COVID-19 required greater flexibility for providers and patients to facilitate continued enrollment. FM-TIPS work is supported by the National Institutes of Health (NIH) through the NIH HEAL Initiative under award number UG3AR076387 from the National Institute of Arthritis and Musculoskeletal and Skin Diseases. This work also received logistical and technical support from the PRISM Resource Coordinating Center under award number U24AT010961 from the NIH through the NIH HEAL Initiative. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH or its HEAL Initiative. | J Pain | 2022 | CORD-19 | |
| 2082 | Role of Non-pharmacological Intervention for Pain Management in Nursing Home Residents During COVID-19: A Systematic Review Pain experienced by nursing home residents (NHRs) is a significant concern, especially in patients with cognitive impairment. In this group, pain can be revealed through agitation, facial expressions, and altered movements. Palliative care, warm blankets, and peer-led pain management are some of the non-pharmacological management options. Our aim is to explore non-pharmacological interventions used for pain control during the COVID-19 pandemic. Google Scholar and PubMed were utilized to retrieve comprehensive non-pharmacologic pain management studies published between 2020 and 2021. Some targeted studies included randomized controlled, clustered, and clinical trials. The study targeted the general global NHR population. Keywords used: “Pain Management Program”, “nursing home”, “Pain management post-COVID-19”. Seven independent analysts reviewed the study. Eleven studies investigated non-pharmacological interventions in pain management. Five met the inclusion criteria. Two studies assessed peer-led pain management programs (PAPs). The first study found that PAPs improved pain knowledge and skills of peer volunteers in nursing homes. The second study revealed that PAP significantly improved pain self-efficacy, pain inference, and quality of life. Another study showed that visually appealing digital elements such as family photographs and natural sceneries relaxed older adults with chronic pain. Using warm blankets reduced pain and agitation in one study. An improvement in pain and severity complaints, and analgesic use requests was noted. One study revealed the insignificance of palliative care residents’ comfort in the last week of life comparing intervention and control groups. Pain is a symptom often under-reported in nursing homes. Current evidence indicates the potential role of non-pharmacological interventions, mainly utilizing appealing digital devices, warm blankets, and PAP programs. This review found that non-pharmacological interventions increase awareness about pain and increase NHRs’ quality of life during COVID19 pandemic. Further studies are needed to assess effectiveness of non-pharmacological interventions as pain management tools. | J Pain | 2022 | CORD-19 | |
| 2083 | Prevalence of Chronic Pain among School-aged Children in the United States During the First Year of the COVID-19 Pandemic: A Nationally Representative Study The COVID-19 pandemic and its associated disruptions have been shown to increase rates of childhood depression, anxiety, obesity, and insomnia. Thus far, the epidemiological impact of the pandemic on the national prevalence of pediatric chronic in the United States has not been systematically addressed. We aimed to compare the national prevalence of pediatric chronic pain between 2019 (pre-pandemic) and 2020 (first year of the pandemic) and determine whether changes varied across sociodemographic groups. Cross-sectional analysis of children (6-17 years) participating in the National Survey of Children's Health (NSCH) 2019 and 2020 (n=48,319). Chronic pain was defined as the caregiver reporting their children had “frequent or chronic difficulty with repeated or chronic physical pain during the past 12 months”. We computed adjusted prevalence ratios (aPR) and 95% confidence intervals (CI) comparing the prevalence of chronic pain between survey years using survey-weighted Poisson regression adjusted for age, sex, race/ethnicity, parental education, and Census region. In separate Poisson models with interactions between sociodemographic variables and survey year, we tested for multiplicative effect measure modification using joint Wald tests for all interaction terms. The estimated national prevalence (95% CI) of chronic pain in children 6-17 years was 10.6% (9.7, 11.6%) in 2019, decreasing to 7.3% (6.7, 8.0%) in 2020. The adjusted prevalence of chronic pain was estimated to be 31% lower in 2020 than in 2019 (aPR=0.69, 95% CI: 0.61, 0.79; p<0.001). We found no differences in the change in chronic pain prevalence by age (p=0.68), sex (p=0.65), race/ethnicity (p=0.55), parental education (p=0.76), and Census region (p=0.28). Contrary to our expectations, the national prevalence of pediatric chronic pain decreased during the first year of the COVID-19 pandemic relative to the same period one year earlier. Additional studies are needed to investigate longitudinal patterns and mechanisms explaining reduced pain burden. | J Pain | 2022 | CORD-19 | |
| 2084 | The Relation of Pain, Fatigue, Disease Impact and Psychological Factors with Physical Function in post-COVID-19 Syndrome, Fibromyalgia and Chronic Fatigue Syndrome This research sought to identify the relation of pain, fatigue, disease impact, and psychological factors with physical function in individuals with post-COVID-19 syndrome (post-COVID), fibromyalgia, chronic fatigue syndrome (CFS), and those with combined diagnoses of post-COVID, FMS, and/or CFS (multi-Dx). Individuals with post-COVID, fibromyalgia, or CFS were invited to complete an anonymous survey. The following patient-reported outcome measures were collected: PROMIS-Physical Function (PROMIS-PF), PROMIS-Pain Interference (PROMIS-PI), Pain Severity (NRS; 0-10), 2016 Fibromyalgia Diagnostic Criteria Survey (FSS), Fatigue Severity (NRS; 0-10), PROMIS-Fatigue, Multisensory Amplification Scale (MSAS), PROMIS-Sleep Disturbance (PROMIS-SD), PROMIS-Dyspnea Severity (PROMIS-DS), Symptom Impact Questionnaire-Revised (SIQR), Coping Strategies Questionnaire-Catastrophizing Subscale (CSQ-CAT), Tampa Scale of Kinesiophobia-11 (TSK-11), and Hospital Anxiety and Depression Scale (HADS). Stepwise multiple linear regressions examined relationships between symptoms, disease impact, and psychological factors on physical function in each cohort. Results show 707 individuals (294-males, 413-females) completed surveys including 203 post-COVID, 99 FMS, 87 CFS, and 318 multi-Dx. Physical function was impaired in each cohort (post-COVID: 40.7±8.6; FMS: 39.5±5.5; CFS: 39.5±7.2; multi-Dx: 39.3±5.5). Regression analyses were significant for post-COVID (R2=.668, p<.001), fibromyalgia (R2=.502, p<.001), CFS (R2=.663, p<.001), and multi-Dx (R2=.611, p<.001). Unique factors significantly predicted physical function in each cohort as follows: 1) Post-COVID - dyspnea (β=-.453, p<.001), fatigue (β=-.182, p=.003), pain interference (β=-.196, p=.007), anxiety (β=.138, p=.007), symptom impact (β=-.185, p=.026); 2) fibromyalgia - fatigue (β=-.470, p<.001), symptom impact (β=-.351, p<.001); 3) CFS - symptom impact (β=-.427, p<.001), anxiety (β=.328, p<.001), dyspnea (β=-.210, p=.007), fatigue (β=-.334, p<.001), sleep disturbance (β=.249, p=.002), kinesiphobia (β=-.200, p=.014); 4) multi-Dx - fatigue (β=-.350, p<.001), symptom impact (β=-.201, p<.001), sleep disturbance (β=-.183, p<.001), pain interference (β=-.181, p<.001). Disease impact and fatigue related to physical function in all cohorts while pain interference, dyspnea, sleep disturbance, and psychological factors had varying relationships with physical function among individuals with post-COVID, FMS, CFS, and multi-Dx. Grant support from National Institutes of Neurological Disease and Stroke (NINDS) of the NIH under Award Number U24NS112873-03S2. | J Pain | 2022 | CORD-19 | |
| 2085 | Abstract 20: Bidirectional link between diabetes mellitus and COVID-19 leading to cardiovascular disease: A narrative review. World journal of diabetes Coronavirus disease 2019 (COVID-19) is a global pandemic where several comorbidities have been shown to have a significant effect on mortality. Patients with diabetes mellitus (DM) have a higher mortality rate than non-DM patients if they get COVID-19. Recent studies have indicated that patients with a history of diabetes can increase the risk of severe acute respiratory syndrome coronavirus 2 infection. Additionally, patients without any history of diabetes can acquire new-onset DM when infected with COVID-19. Thus, there is a need to explore the bidirectional link between these two conditions, confirming the vicious loop between “DM/COVID-19”. This narrative review presents (1) the bidirectional association between the DM and COVID-19, (2) the manifestations of the DM/COVID-19 loop leading to cardiovascular disease, (3) an understanding of primary and secondary factors that influence mortality due to the DM/COVID-19 loop, (4) the role of vitamin-D in DM patients during COVID-19, and finally, (5) the monitoring tools for tracking atherosclerosis burden in DM patients during COVID-19 and “COVID-triggered DM” patients. We conclude that the bidirectional nature of DM/COVID-19 causes acceleration towards cardiovascular events. Due to this alarming condition, early monitoring of atherosclerotic burden is required in “Diabetes patients during COVID-19” or “new-onset Diabetes triggered by COVID-19 in non-Diabetes patients”. | Indian J Endocrinol Metab | 2022 | CORD-19 | |
| 2086 | Abstract 112: Post-COVID vaccination ASIA syndrome (autoimmune/inflammatory syndrome induced by adjuvants) and thyroid dysfunction Background: ASIA syndrome is an entity that incorporates diverse autoimmune conditions after exposure to various adjuvants in vaccines. There is limited literature available regarding development of thyroid disorders after covid 19 vaccination. Aims and Objectives: Retrospective case series of patients diagnosed with thyroid disease within 2 months of covid-19 vaccination. History, examination, relationship with covid infection and vaccination, onset of symptoms, thyroid function tests, TRAb, Anti-TPO, ESR, CRP, Tc(99)-thyroid scan were recorded for each of the patient. Results: We observed 9 subjects (females 5, males 4; age range 22-63 yrs) with thyrotoxicosis. The onset of symptoms after vaccination ranged from 2 days to 60 days. Six subjects had Graves’ disease (GD) while 3 had subacute thyroiditis (SAT). Two subjects had acute onset of thyroid associated opthalmopathy; one patient needed glucocorticoids (GC). All subjects with GD were treated with antithyroid drugs while subjects with SAT were treated with NSAIDS; none required GC. Conclusions: SAT and GD may develop as a manifestation of ASIA syndrome after covid 19 vaccine. Long-term multicentric observational studies are needed to establish the natural history of ASIA syndrome following covid vaccination. | Indian J Endocrinol Metab | 2022 | CORD-19 | |
| 2087 | Abstract 89: Correlation between serum Vitamin D3 levels and severity of COVID-19 infection Background: It is postulated that Vitamin-D deficiency is associated with poor prognosis of COVID-19. Aims and Objectives: To study the correlation between Serum 25-hydroxy-Vitamin D (25OHD) levels and COVID-19 disease severity and outcomes in Indian population. Results: We prospectively recruited 200 consenting COVID-19 positive adults from a COVID-19-dedicated centre and assessed their 25OHD status on day1- 2 of admission. Disease severity was classified as per NIH guidelines and patients were followed till recovery or death. Our cohort had 11% asymptomatic, 14% mild, 14.5% moderate, 37.5% severe and 22% critical patients and their mean 25(OH)D levels were 24.09 ng/ml, 18.97 ng/ml, 15.81 ng/ml, 19.46 ng/ml and 16.45 ng/ml respectively. 89% (n=178) patients recovered (mean 25(OH)D 18.9 ng/ml) and 11% (n=22) succumbed (mean 25(OH)D 16.88 ng/ml). There was no significant correlation between baseline Vitamin-D levels with clinical severity or outcome. Oxygen requiring patients had slightly more proportion of severely Vitamin-D deficient population (<10 ng/ml) (24.03% Vs 19.71%) however it was not statistically significant (p-0.484). Low 25OHD levels had significant inverse association with inflammatory markers like NLR (Neutrophil-Lymphocyte Ratio) (p-0.004) and IL-6 (p-0.006). Conclusion: Baseline Vitamin-D levels were not correlated with clinical severity or outcome but inversely correlated with inflammatory markers (NLR, IL-6) in COVID 19 patients. | Indian J Endocrinol Metab | 2022 | CORD-19 | |
| 2088 | Abstract 32: Acute suppurative thyroiditis in HIV-Non typhoidal salmonella: Case report and review of the literature Background: Acute suppurative thyroiditis is a rare disease of thyroid gland. Incidence is less than 1% in immunocompromised hosts. Most common pathogens isolated are Gram positive aerobic cocci. Infections with Gram negative facultative aerobes such as Salmonella are rare. Case Presentation: A 39-year-old retropositive female presented with rapid enlargement of swelling in front of neck, fever and weight loss x 2 weeks. Examination revealed symmetric diffuse swelling that moved with degglutition with overlying erythema and tenderness. Relevent investigations done and CT neck revealed thyroid abscess, covid -19 RAT positive status, microcytic hypochromic anemia. A needle aspiration for symptomatic and diagnostic purposes was performed. Cultures grew Nontyphoidal salmonella. She was treated with 4-week course of oral antibiotics. Conclusion: A thyroid abscess is rare, potentially life threatening disease. However, a high index of suspicion is required to make diagnosis and differentiate from subacute thyroiditis a relatively benign condition. Management is directed at minimizing morbidity. The mainstay treatment is medical, but surgery is sometimes necessary to achieve adequate source control, particularly when complications arise. Keywords: Acute suppurative thyroiditis, COVID 19 infection, retrovirus, Salmonella sp., thyroid abscess | Indian J Endocrinol Metab | 2022 | CORD-19 | |
| 2089 | Abstract 47: A case of Post-COVID-19 thyrotoxicosis and a cavalcade of complications Thyroid dysfunction has been reported following COVID-19 infection in the recent past. A 50 year old hypertensive female with no previous thyroid illness, developed features of thyrotoxicosis two weeks after a COVID-19 infection. There was no thyromegaly, neck pain or fever and her ESR was 15 mm/hour. She was initiated on propranolol and methimazole in an outside hospital. Ten days later, she presented to our hospital with fever, sore throat, cough and breathing difficulty. On evaluation she was found to be in neutropenic sepsis (WBC -820 cells/mm3, ANC-6 cells/mm3). Evaluation of thyroid functions showed: TSH- <0.00025 IU/ml, free T3 - 4.17 pg/ml, free T4- 3.59 ng/ml and Thyroid Receptor Antibody Levels (TRAb)- 2.53 IU/L. Following treatment with colony stimulating factors and antibiotics she recovered. The patient was commenced on lithium bicarbonate and cholestyramine, along with propranolol. On follow up in the OPD she is euthyroid with free T4 1.43 ng/ml (normal) levels. Post COVID-19 thyrotoxicosis in this case is likely due to Graves’ disease. Thyrotoxicosis following COVID-19 is now being recognised and is possibly due to infection induced molecular mimicry with activation of immune pathways causing autoimmune disorders. | Indian J Endocrinol Metab | 2022 | CORD-19 | |
| 2090 | Abstract 128: Thyroid function abnormalities in hospitalized patients with COVID-19 infection-A cross-sectional study Background: Thyroid gland expresses ACE-2 receptors. It is thus a potential target for involvement by the COVID virus. Also, the cytokine storm and various drugs used in the treatment for COVID-19 can affect the thyroid function tests. Aim: To study thyroid function abnormalities in hospitalized patients with COVID19 infection. Objective: To study the proportion of patients with thyroid function abnormalities in hospitalized patients with COVID-19 infection. Results: Total 271 Covid -19 patients were included in the study, of which 27 were asymptomatic, 158 mild, 39 moderate and 47 severe categories classified according to the MOHFW criteria. The mean age was 49 ±17 years, 64.9% were male. Abnormal thyroid function test was present in 37.2% (101/271) patients. Low fT3, low fT4 and low TSH were present in 21.03%, 15.9% and 4.5%, respectively. Mean fT3 and fT3/fT4 ratio decreased with increasing severity of COVID-19 illness (p=0.000). In multivariate analysis, low fT3 was associated with increased risk of mortality (OR 12.36, 95% CI: 1.23-124.19; P=0.033). Conclusion: Low fT3 and fT3/fT4 ratio helps to predicts disease severity. Low fT3 is associated with increased risk of mortality. | Indian J Endocrinol Metab | 2022 | CORD-19 | |
| 2091 | Abstract 113: Impact of COVID-19 on arterial stiffness Background: Arterial Stiffness is a manifestation of endothelial dysfunction and it can be used as a prediction parameter and a target for therapies aimed at ameliorating endothelial cell dysfunction which is raised after Covid 19 infection. Aims and Objectives: To evaluate arterial stiffness using carotid-femoral Pulse Wave Velocity (cfPWV) and to compare the difference in different groups among the study subjects. Methods and Results: Observational single centre study was done after randomly selecting 170 subjects from Telangana State Police Department after excluding subjects with chronic inflammatory diseases on chronic steroid therapy and pregnant/lactating subjects. Analysis after dividing them into 4 groups based on the presence or absence of past history of COVID-19 infection and the presence or absence of Comorbidities (Diabetes Mellitus, Systemic Hypertension, CAD, CVA or CKD) showed mean increase in cfPWV was 76.21 cm/s in Group-A (Covid-ve & Comorbidity-ve), 126.5 cm/s in Group-B (Covid+ve & Comorbidity-ve), 210.1 cm/s in Group-C (Covid-ve & Comorbidity+ve) and 263.9 cm/s in Group-D (Covid+ve & Comorbidity+ve). Significant p values were obtained for intergroup differences in cfPWV. Conclusions: The Arterial stiffness values of prior COVID-19 positive subjects were higher than the group of subjects without prior COVID-19 infection. Comorbidities also independently added to the risk. Pulse wave velocity can be considered as an easy non-invasive screening tool in post-COVID patients to identify possible high-risk candidates. | Indian J Endocrinol Metab | 2022 | CORD-19 | |
| 2092 | Monitoring Inflow Dynamics in a Multipurpose Dam Based on Travel-time Principle Understanding inflow dynamics in a dam lake forms the basis for optimal dam operation and management practices. However, methods pertaining to adequately determining negative inflows and addressing them, as well as quantifying uncertainties in dam inflow, have been scarcely investigated. In this study, the inflow was observed using two pairs of fluvial acoustic tomography (FAT) systems placed diagonally in a dam lake, forming a crossed-shaped pattern. The “travel-time” principle is the primary approach for measuring the inflow by FAT. The novelty of this study is in discussing the inflow characteristics within a slow water-flow environment monitored by FAT. Based on the reciprocal sound transmission, we upgraded an equation to estimate the flow direction; this newly proposed generalized equation can be used in a fluctuating flow environment. We also discussed the sound propagation characteristics for slow flow velocities. Finally, we demonstrated that a small inaccuracy in the acoustic signal, even by a sub-millisecond, can cause significant errors in measurements. One of the novel findings of this study is the detection of internal waves using the improved flow direction equation and acoustic travel-time records. Overall, this study presents a promising approach for inflow measurements under extremely slow flow conditions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11269-022-03161-w. | N/A | 2022 | CORD-19 | |
| 2093 | Etel Soligen, ed., Geopolitics, Supply Chains and International Relations in East Asia: (New York: Cambridge University Press, 2021), 299p. $99.99 hardback; $34.99 paperback | J Chin Polit Sci | 2022 | CORD-19 | |
| 2094 | A Critique of Colonialism and Modern Aid in Africa: What Would Skinner Say? In Skinner’s chapter titled The Ethics of Helping People, he stated, “By giving too much help, we postpone the acquisition of effective behavior and perpetuate the need for help” (Skinner, 1996, p. 63). Through years of living cross-culturally in various African countries, the first author has seen this demonstrated not only in organizations but also as part of the very fabric of society. The detrimental effects of helping, as described by Skinner, are especially evident in African countries that were formerly colonized and continue through the delivery of modern aid by western nations. Robust reinforcement contingencies surround the helper and the helped, which creates and maintains a reciprocal dominating/dependent relationship that has stifled growth in the past and continues to do so in the present. Considering that behavior analysis was born in the western world, any dissemination efforts to formerly colonized African countries will perpetuate the power dynamic conceived from colonial “helping” practices. In this paper, suggestions will be outlined for behavior analysts interested in international dissemination, specifically looking at the role of participatory community development in alleviating colonial relations between these regions. | N/A | 2022 | CORD-19 | |
| 2095 | ASNTR 2022 Abstracts | Cell Transplant | 2022 | CORD-19 | |
| 2096 | In this issue | Mol Ther | 2022 | CORD-19 | |
| 2097 | Hematological markers and ultrasound 7-joint inflammation score as add-on tools in the assessment of inflammation in rheumatoid arthritis patients BACKGROUND: Rheumatoid arthritis (RA) is an autoimmune disease characterized by synovial inflammation and joint destruction that eventually induces severe disability. Inflammation is the key determinant and primary underlying mechanism leading to disability and increased mortality in patients with RA. This study aimed to correlate the hematological markers and ultrasound 7-joint inflammation score to disease activity in rheumatoid arthritis patients. RESULTS: The current study involved 54 RA patients diagnosed according to the 2010 ACR/EULAR classification criteria for RA and thirty healthy control subjects. There were 48 females (88.9%) and 6 males (11.1%). The age of patients ranged from 32 to 60 years, with a mean of 46.04 ± 5.65 years. Using disease activity score 28-ESR, total white blood cell count and absolute lymphocytic count were significantly lower in RA patients with high disease activity. Neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, mean platelet volume, ESR, and CRP were significantly higher in patients with high disease activity using disease activity score 28 CRP. Also, a statistically significant positive correlation was detected between neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio and both clinical disease activity scores. Red cell distribution width but not platelet distribution width was significantly higher in RA patients but both parameters had no association or correlation with clinical disease activity scores. Neutrophil-to-lymphocyte ratio was found to have a statistically significant positive correlation with the tenosynovitis score by powered Doppler ultrasound. There were statistically significant positive correlations between disease activity score 28 ESR and CRP and synovitis and tenosynovitis scores by greyscale and powered Doppler ultrasound using the ultrasound 7 score. CONCLUSION: Neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and mean platelet volume could be potential inflammatory markers for follow-up of disease activity in RA patients. The ultrasound 7 score is a simple and practical scoring system for use in the detection of inflammation, even subclinically in RA patients, which may help the physician in his clinical decisions. The combined use of both hematological markers and the ultrasound 7 score may be of great value. | N/A | 2022 | CORD-19 | |
| 2098 | Erratum to: "Reprint of: Development of vaccines and vaccinal strategies against COVID-19: The information contributing to shared decision-making" by Bruet S et al. (La Presse Medicale Open 2022; 3: 100024 -https://doi.org/10.1016/j.lpmope.2022.100024) | N/A | 2022 | CORD-19 | |
| 2099 | Going beyond the pandemic: 'next generation eu' and the politics of sub-regional coalitions The article aims to explain the 2020 approval of ‘Next Generation EU’, the program for helping the EU member states to go beyond the pandemic. The approval of NG-EU is interpreted in the context of a confrontation between three distinct interstate coalitions, coordinating a group of countries from the north (the Frugal coalition) against the core of continental countries (the Solidarity coalition) and then a group of countries from the east (the Sovereignty coalition) against the previous two coalitions allied together. Based on the discursive institutionalism’s approach, the article reconstructs the policy discourse shared by the members of each coalition, coherently utilized along the fault lines which conceptually structured the 2020 policy-making process. The policy coherence and the organizational consistency of the three coalition cores affected the EU policy-making process more than the inter-institutional relations between the Commission and national governments. The article concludes advancing arguments for interpreting the sub-regional segmentation of the EU. | N/A | 2022 | CORD-19 | |
| 2100 | Impact of Environmental Quality on Health Outcomes in Saudi Arabia: Does Research and Development Matter? Recent literature on the health impacts of CO(2) emissions suggests a variety of factors that may establish a more robust link. However, no previous study has explored the role of research and development (R&D) in explaining the nexus between CO(2) emissions and health outcomes. Using data for Saudi Arabia over the period 2000–2018, this paper investigates the ability of R&D (expenditures and environmentally related R&D) to reduce the incidence of emissions on population health outcomes, particularly infant mortality and life expectancy. We find (i) negative impacts of CO(2) emissions on health outcomes; (ii) R&D expenditures have a weak positive impact on health outcomes; (iii) additionally to their direct effects on health outcomes, R&D expenditures remarkably enhanced health outcomes through reducing per capita CO(2) emissions; (iv) R&D expenditures interact with CO(2) from electricity and heat production and from electricity and heat production to negatively influence health outcomes. Similarly, environmentally related R&D, measured by patents environmental-related technologies, interacts with per capita CO(2) emissions to negatively influence health outcomes. To address these negative impacts, we calculated the corresponding R&D thresholds. Policymakers in Saudi Arabia are therefore called to give more and more incentives for R&D to reduce emissions and then improve population health outcomes. | N/A | 2022 | CORD-19 |
(1) COVID-19 Open Research Dataset (CORD-19). 2020. Version 2022-06-02. Retrieved from https://ai2-semanticscholar-cord-19.s3-us-west-2.amazonaws.com/historical_releases.html. Accessed 2022-06-05. doi:10.5281/zenodo.3715506
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(3) Currently tweets of June 23rd to June 29th 2022 have been considered.