1108 10 20655 https://www.socictopen.socict.org/files/original/5445918c5b1a217d3ae0ccda2ca0924f.pdf cd0ad64908332d251ea266e7f1c2ec24 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Impact of COVID-19 on the outcomes of gastrointestinal surgery. Creator An entity primarily responsible for making the resource Rahul Gupta, Jyoti Gupta, Houssem Ammar Description An account of the resource COVID-19 pandemic has brought a paradigm shift in the treatment of various surgical gastrointestinal disorders. Given the increasing number of patients requiring hospitalization and intensive care for SARS-CoV-2 infections, various surgical departments worldwide were forced to stop or postpone elective surgeries to save the health resources for COVID-19 patients. Since the declaration of the COVID-19 pandemic by the World Health Organization on 12th March 2020, the recommendations from the surgical societies kept evolving to help the surgeons in making informed decisions regarding patient care. Moreover, various socio-economic and epidemiological factors have come into play while deciding the optimal approach towards patients requiring gastrointestinal surgery. Surgeries for many abdominal diseases such as acute appendicitis and acute calculous cholecystitis were postponed. Elective surgeries were triaged based on the urgency of performing the surgical procedure, the hospital burden of COVID-19 patients, and the availability of healthcare resources. Various measures were adopted such as preoperative screening for SARS-CoV-2 infection, use of personal protective equipment, and the COVID-19-free surgical pathway to prevent perioperative SARS-CoV-2 transmission. In this article, we have reviewed the recent studies reporting the outcomes of various gastrointestinal surgeries in the COVID-19 pandemic era and the recommendations from various surgical societies on the safety precautions to be followed during gastrointestinal surgery. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource covid-19, SARS-CoV-2, bariatric surgery, liver transplant, colorectal cancer Identifier An unambiguous reference to the resource within a given context 10.1007/s12328-021-01424-4 Source A related resource from which the described resource is derived Clinical journal of gastroenterology https://www.socictopen.socict.org/files/original/75db315a5bb2032cd7841e7ef31edf93.pdf bf8e73a5938581b35be9e503764e9331 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Selective and electronic detection of COVID-19 (Coronavirus) using carbon nanotube field effect transistor-based biosensor: A proof-of-concept study. Creator An entity primarily responsible for making the resource M Thanihaichelvan, S N Surendran, T Kumanan, U Sutharsini, P Ravirajan, R Valluvan, T Tharsika Description An account of the resource In this work, we propose and demonstrate a carbon nanotube (CNT) field-effect transistor (FET) based biosensor for selective detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). CNT FETs were fabricated on a flexible Kapton substrate and the sensor was fabricated by immobilizing the reverse sequence of the 25-base portion of the RNA-dependent RNA polymerase gene of the SARS-CoV-2 onto the CNT channel. The biosensors were tested for the synthetic positive and control target sequences. The biosensor showed a selective sensing response to the positive target sequence with a limit of detection of 10 fM. The promising results from our study suggest that the CNT FET based biosensors can be used as a diagnostic tool for the detection of SARS-CoV-2. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource covid-19, SARS-CoV-2, biosensor, rapid detection, Coronavirus, Carbon nanotube Field-effect transistor Identifier An unambiguous reference to the resource within a given context 10.1016/j.matpr.2021.05.011 Source A related resource from which the described resource is derived Materials today. Proceedings https://www.socictopen.socict.org/files/original/233bdfbe9c4e89fe0ce1b43a6f1c64a5.pdf 9e4ff02498b0e5b7a2eb99c5b99ee4e7 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Critical analysis of acute kidney injury in pediatric COVID-19 patients in the intensive care unit. Creator An entity primarily responsible for making the resource Rupesh Raina, Ronith Chakraborty, Isabelle Mawby, Nirav Agarwal, Sidharth Sethi, Michael Forbes Description An account of the resource COVID-19 is responsible for the 2019 novel coronavirus disease pandemic. Despite the vast research about the adult population, there has been little data collected on acute kidney injury (AKI) epidemiology, associated risk factors, treatments, and mortality in pediatric COVID-19 patients admitted to the ICU. AKI is a severe complication of COVID-19 among children and adolescents. A comprehensive literature search was conducted in PubMed/MEDLINE and Cochrane Center Trials to find all published literature related to AKI in COVID-19 patients, including incidence and outcomes. Twenty-four studies reporting the outcomes of interest were included. Across all studies, the overall sample size of COVID positive children was 1,247 and the median age of this population was 9.1 years old. Among COVID positive pediatric patients, there was an AKI incidence of 30.51%, with only 0.56% of these patients receiving KRT. The mortality was 2.55% among all COVID positive pediatric patients. The incidence of multisystem inflammatory syndrome in children (MIS-C) among COVID positive patients was 74.29%. AKI has shown to be a negative prognostic factor in adult patients with COVID-19 and now also in the pediatric cohort with high incidence and mortality rates. Additionally, our findings show a strong comparison in epidemiology between adult and pediatric COVID-19 patients; however, they need to be confirmed with additional data and studies. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource covid-19, acute kidney injury, Adult, kidney replacement therapy, pediatric, MIS-C Identifier An unambiguous reference to the resource within a given context 10.1007/s00467-021-05084-x Source A related resource from which the described resource is derived Pediatric nephrology (Berlin, Germany) https://www.socictopen.socict.org/files/original/b1631e795f87622e71ce67163d403874.pdf 0b7133ab3088711135d04428c24ffd01 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource COVID-19-associated autoimmunity as a feature of acute respiratory failure. Creator An entity primarily responsible for making the resource Marvin J Fritzler, Uriel Trahtemberg Date A point or period of time associated with an event in the lifecycle of the resource 2021 Identifier An unambiguous reference to the resource within a given context 10.1007/s00134-021-06408-z Source A related resource from which the described resource is derived Intensive care medicine https://www.socictopen.socict.org/files/original/0e073d3ec01f3cf421d1308244575d69.pdf 00f4a799fc77f9977ed23d4cf8d26fcb Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs using Convolutional Siamese Neural Networks. Creator An entity primarily responsible for making the resource Min Lang, Brent P Little, M D Li, F Deng, K Chang, J Kalpathy-Cramer, D P Mendoza, Nishanth Thumbavanam Arun, Mishka Gidwani, Susanna I Lee, Aileen O'Shea, Anushri Parakh, Praveer Singh Description An account of the resource To develop an automated measure of COVID-19 pulmonary disease severity on chest radiographs (CXRs), for longitudinal disease tracking and outcome prediction. A convolutional Siamese neural network-based algorithm was trained to output a measure of pulmonary disease severity on CXRs (pulmonary x-ray severity (PXS) score), using weakly-supervised pretraining on ∼160,000 anterior-posterior images from CheXpert and transfer learning on 314 frontal CXRs from COVID-19 patients. The algorithm was evaluated on internal and external test sets from different hospitals (154 and 113 CXRs respectively). PXS scores were correlated with radiographic severity scores independently assigned by two thoracic radiologists and one in-training radiologist (Pearson r). For 92 internal test set patients with follow-up CXRs, PXS score change was compared to radiologist assessments of change (Spearman ρ). The association between PXS score and subsequent intubation or death was assessed. Bootstrap 95% confidence intervals (CI) were calculated. PXS scores correlated with radiographic pulmonary disease severity scores assigned to CXRs in the internal and external test sets (r=0.86 (95%CI 0.80-0.90) and r=0.86 (95%CI 0.79-0.90) respectively). The direction of change in PXS score in follow-up CXRs agreed with radiologist assessment (ρ=0.74 (95%CI 0.63-0.81)). In patients not intubated on the admission CXR, the PXS score predicted subsequent intubation or death within three days of hospital admission (area under the receiver operating characteristic curve=0.80 (95%CI 0.75-0.85)). A Siamese neural network-based severity score automatically measures radiographic COVID-19 pulmonary disease severity, which can be used to track disease change and predict subsequent intubation or death. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Identifier An unambiguous reference to the resource within a given context 10.1148/ryai.2020200079 Source A related resource from which the described resource is derived Radiology. Artificial intelligence https://www.socictopen.socict.org/files/original/8d43f63251c458db92826eaa706f2c33.pdf f5f5bb8d67d2fe5cdd30cd2f87b06eb6 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Models to inform neutralizing antibody therapy strategies during pandemics: the case of SARS-CoV-2. Creator An entity primarily responsible for making the resource Donovan Guttieres, Anthony J. Sinskey, Stacy L. Springs Description An account of the resource Neutralizing antibodies (nAbs) against SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) can play an important role in reducing impacts of the COVID-19 pandemic, complementing ongoing public health efforts such as diagnostics and vaccination. Rapidly designing, manufacturing and distributing nAbs requires significant planning across the product value chain and an understanding of the opportunities, challenges and risks throughout. A systems framework comprised of four critical components is presented to aid in developing effective end-to-end nAbs strategies in the context of a pandemic: (1) product design and optimization, (2) epidemiology, (3) demand and (4) supply. Quantitative models are used to estimate product demand using available epidemiological data, simulate biomanufacturing operations from typical bioprocess parameters and calculate antibody production costs to meet clinical needs under various realistic scenarios. In a US-based case study during the 9-month period from March 15 to December 15, 2020, the projected number of SARS-CoV-2 infections was 15.73 million. The estimated product volume needed to meet therapeutic demand for the maximum number of clinically eligible patients ranged between 6.3 and 31.5 tons for 0.5 and 2.5 g dose sizes, respectively. The relative production scale and cost needed to meet demand are calculated for different centralized and distributed manufacturing scenarios. Meeting demand for anti-SARS-CoV-2 nAbs requires significant manufacturing capacity and planning for appropriate administration in clinical settings. MIT Center for Biomedical Innovation's data-driven tools presented can help inform time-critical decisions by providing insight into important operational and policy considerations for making nAbs broadly accessible, while considering time and resource constraints. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource epidemiology, neutralizing antibodies, pandemic response, Product design, biomanufacturing Identifier An unambiguous reference to the resource within a given context 10.1093/abt/tbab006 Source A related resource from which the described resource is derived Antibody therapeutics https://www.socictopen.socict.org/files/original/7ca6cfe46de97c488f18ab501c025bc2.pdf 56562c0adfa434cc8a9e781c3b57da29 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Managing a Department of Obstetrics and Gynecology in Times of COVID-19 Outbreak: The Foch Hospital Experience Creator An entity primarily responsible for making the resource Rouba Murtada, Marie Carbonnel, Aurélie Revaux, Angeline Favre-Inhofer, Jean-Marc Ayoubi Description An account of the resource Departments of Gynecology and Obstetrics, as other departments, were faced with a major challenge at the outbreak of the COVID-19 pandemic. Fast restructuring was necessary in order to provide the means for COVID-related care. In this article we share our 1-year experience in reshaping our activities, managing healthcare workers and securing a pathway for pregnant patients, including potential, and confirmed COVID-19 cases. Priorities were set on ensuring patients' and healthcare workers' safety. Key containment measures included facemasks, systematic screening, dedicated spaces for COVID-19 cases with reinforced measures and vaccination campaign. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource healthcare worker, covid-19, facemask, Vaccination, patient safety, reorganization Identifier An unambiguous reference to the resource within a given context 10.3389/fsurg.2021.564145 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Surgery https://www.socictopen.socict.org/files/original/88fd42b45f61a6d917c14223663fa060.pdf d0ced6dd6e1dc77ced4c9f4cff131cb4 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Physical Activity Among Predominantly White Middle-Aged and Older US Adults During the SARS-CoV-2 Pandemic: Results From a National Longitudinal Survey Creator An entity primarily responsible for making the resource Rodney P. Joseph, Keenan A. Pituch, M. Aaron Guest, Molly Maxfield, Allie Peckham, David W. Coon, Wonsun Kim, Shelby L. Langer Description An account of the resource Background: The first COVID-19 case in the US was diagnosed late January 2020. In the subsequent months, cases grew exponentially. By March 2020, SARS-CoV-2 (the novel coronavirus that causes COVID-19) was a global pandemic and the US declared a national emergency. To mitigate transmission, federal guidelines were established for social and physical distancing. These events disrupted daily routines of individuals around the world, including Americans. The impact of the pandemic on PA patterns of Americans is largely unknown, especially among those at greater risk for severe COVID-19 outcomes. The aim of this study was to assess levels of PA over time during the pandemic among US adults aged >50 years.Methods: Data were collected as part of a web-based, longitudinal, 3-wave study examining health and well-being among adults aged > 50. PA data were collected at Waves 2 and 3 using the International Physical Activity Questionnaire-Short Form (IPAQ-SF). At Wave 2 (conducted mid-May to early June, 2020), participants completed the IPAQ-SF twice, once in reference to a typical 7-day period before the pandemic, and again in reference to the past 7 days. At Wave 3 (conducted mid-June to early July 2020), participants completed the IPAQ-SF once, with reference to the past 7 days. Potential predictors of PA change were collected using items from previously established surveys and included demographic characteristics, pre-pandemic PA levels, perceived COVID-19 threat, self-rated general health, and number of chronic disease conditions.Results: Respondents (N = 589) had a mean age of 63 ± 7.39 years and were mostly female (88%) and non-Hispanic White (96%). Mean MET-min/week across the three time-referents were 2,904 (pre-pandemic), 1,682 (Wave 2 past 7-days), and 2,001 (Wave 3 past 7-days), with PA declining between the first and second time referents (d = −0.45, p < 0.001) and remaining below pre-pandemic levels at the third (d = −0.34, p < 0.001). Changes over time were predicted by pre-pandemic PA and self-rated general health (p's < .05).Conclusions: Effective strategies are needed to promote safe and socially-distanced PA among adults aged >50 years until the risk of contracting COVID-19 subsides. In the post-pandemic era, PA programming will be imperative to address pandemic-associated declines in PA. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource United States, covid-19, physical activity, exercise, older adults Identifier An unambiguous reference to the resource within a given context 10.3389/fpubh.2021.652197 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Public aspects of medicine https://www.socictopen.socict.org/files/original/b6305808e06ca5620e58181334b1d293.pdf 9015d21963956bdc5fb4b8678b757d11 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource COVID-19 and the kidney: A retrospective analysis of 37 critically ill patients using machine learning. Creator An entity primarily responsible for making the resource Anna Laura Herzog, Holger K von Jouanne-Diedrich, Christoph Wanner, Dirk Weismann, Tobias Schlesinger, Patrick Meybohm, Jan Stumpner Description An account of the resource There is evidence that SARS-CoV2 has a particular affinity for kidney tissue and is often associated with kidney failure. We assessed whether proteinuria can be predictive of kidney failure, the development of chronic kidney disease, and mortality in 37 critically ill COVID-19 patients. We used machine learning (ML) methods as decision trees and cut-off points created by the OneR package to add new aspects, even in smaller cohorts. Among a total of 37 patients, 24 suffered higher-grade renal failure, 20 of whom required kidney replacement therapy. More than 40% of patients remained on hemodialysis after intensive care unit discharge or died (27%). Due to frequent anuria proteinuria measured in two-thirds of the patients, it was not predictive for the investigated endpoints; albuminuria was higher in patients with AKI 3, but the difference was not significant. ML found cut-off points of >31.4 kg/m2 for BMI and >69 years for age, constructed decision trees with great accuracy, and identified highly predictive variables for outcome and remaining chronic kidney disease. Different ML methods and their clinical application, especially decision trees, can provide valuable support for clinical decisions. Presence of proteinuria was not predictive of CKD or AKI and should be confirmed in a larger cohort. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Identifier An unambiguous reference to the resource within a given context 10.1371/journal.pone.0251932 Source A related resource from which the described resource is derived PloS one https://www.socictopen.socict.org/files/original/c17b0b7a2c0c3ff426c9c60279f2db3d.pdf f2a28a64690575f1a73175b7b3c8399d Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Warm Autoimmune Hemolytic Anemia Associated With Asymptomatic SARS-CoV-2 Infection. Creator An entity primarily responsible for making the resource Joseph R Liput, Kim Jordan, Rini Patadia, Elizabeth Kander Description An account of the resource Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the resultant coronavirus disease 2019 (COVID-19) are associated with several hematologic abnormalities, including immune thrombocytopenia, antiphospholipid syndrome, and autoimmune hemolytic anemia (AIHA). Initial case reports suggested immune dysregulation to be the underlying etiology of SARS-CoV-2-associated AIHA, as all reported cases involved patients with moderate to severe COVID-19, many of whom had underlying lymphoproliferative disorders. More recently, AIHA has been reported in patients with mildly symptomatic SARS-CoV-2 infection. Here, we detail a patient with asymptomatic SARS-CoV-2 infection who presented with severe, symptomatic anemia. Workup was consistent with warm autoimmune hemolytic anemia (WAIHA) secondary to SARS-CoV-2 infection. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource coronavirus disease 2019 (covid-19), severe acute respiratory syndrome coronavirus 2 (sars-cov-2), Anemia, warm auto-immune hemolytic anemia Identifier An unambiguous reference to the resource within a given context 10.7759/cureus.14101 Source A related resource from which the described resource is derived Cureus