Teledentistry and management protocol in a pediatric dental department during the first COVID-19 lockdown.

BACKGROUND: During the first COVID-19 lockdown, from March 12 to May 15, 2020, private dental practices in France and in many other countries remained closed. Dental emergencies were therefore partly redirected to hospital dental departments. The aim of this article is to describe the modalities of remote management of emergencies during this period, by the pediatric dentistry department of Nancy University Hospital (France), via an oral telemedicine protocol. PATIENTS AND METHODS: All parents of children in difficulty were invited to contact the department by phone. Initial triage was managed by externs, interns, or dental practitioners following a management protocol specifically adapted to pediatric dentistry for this context. Depending on the situation (type of complaint, geographical location of the patients, possibility of travel, availability of digital equipment, etc.), an oral telemedicine solution was proposed using the Covotem® software (Maincare Society, Canejan, France) via the Pulsy platform (public interest grouping validated by the Grand Est Regional Agency for Health) and possibly using an intraoral photographic protocol suggested by the team. RESULTS: During this period, 176 patients used the pediatric dental department, 40 of whom were managed via oral telemedicine. Of these children, 57% (23/40) required an appointment in the department during the lockdown, 30% (12/40) did not require follow-up, and 13% (5/40) required a post-lockdown appointment. This teledentistry protocol resulted in a diagnosis in most cases (93%). CONCLUSION: Patient management through oral telemedicine appears to be an effective tool for planning and organizing oral healthcare. It should be more widely considered in dentistry in the current context of pressure in medical emergencies, significant medical needs, and medical desertification.

The unintended consequences of confinement: Evidence from the rural area in Guatemala

Individual and social preferences have shown to be important factors in individual decision making and general economic performance. Yet, they are usually assumed as given and stable, underestimating their impact in the rhythm of economic recovery after a natural disaster or pandemic. This paper examines the effects of COVID-19 initial confinement on households' individual and social preferences across small communities in the rural area of Guatemala. We use a comprehensive panel household survey of agricultural smallholders collected during two survey rounds in 2019, prior to the pandemic, and 2020 and find that preferences generally shifted following the onset of the pandemic. We observe a significant increase in risk tolerance, deteriorated perceptions towards trust and generosity, and a higher frequency of emotional issues, while intra-household relationships remain stable. We find that experiencing a household adverse situation, a higher degree of exposure to the virus, and more stringent local confinement measures shaped several of the variations in preferences. The focus of the study on a region with high poverty and malnutrition rates offers important insights of the consequences of confinement on perceptions and attitudes in complex and vulnerable rural contexts during the wake of a public health emergency. © 2022 The Author(s)

Use of simplified models for theoretical prediction of the interactions between available antibodies and the receptor-binding domain of SARS-CoV-2 spike protein.

The negative impact of infectious diseases like COVID-19 on public health and the global economy is evident. This pandemic represents a significant challenge for the scientific community to develop new practical analytical methods for accurately diagnosing emerging cases. Due to their selectivity and sensitivity, new methodologies based on antigen/antibody interactions to detect COVID-19 biomarkers are necessary. In this context, the theoretical, computational modeling reduces experimental efforts and saves resources for rational biosensor design. This study proposes using molecular dynamics to predict the interactions between the Receptor Binding Domain (RBD) of the SARS-CoV-2 spike protein simplified model and a set of highly characterized antibodies. The binding free energy of the antigen/antibody complexes was calculated for the simplified models and compared against the complete SARS-CoV-2 ectodomain to validate the methodology. The structural data derived from our molecular dynamics and end-point free energy calculations showed a positive correlation between both approximations, with a 0.82 Pearson correlation coefficient; t = 3.661, df = 3, p-value = 0.03522, with a 95% confident interval. Furthermore, we identified the interfacial residues that could generate covalent bonds with a specific chemical surface without perturbing the binding dynamics to develop highly sensitive and specific diagnostic devices. Communicated by Ramaswamy H. Sarma.

Corporate donation behavior during the covid-19 pandemic. A case-study approach in the multinational inditex.

The situation created by the COVID-19 pandemic, especially the confinement in many countries, has led to a global crisis, not only in health but also in economy and social issues. But it has also provoked a wave of solidarity and unprecedented donation behavior by many companies worldwide. Inditex, one of the main fashion multinationals, has become a referent for its reaction speed and has been ranked number one among the most significant companies for its Corporate Social Responsibility during the lockdown. Drawing from Stakeholder, Legitimacy, and Ethics of Care Theories, the aim of this paper is to analyze Inditex as a case study and reflect on the impact of its donation behavior on its corporate reputation. A desk research approach by using secondary data about the corporation, and a content analysis of press releases with ATLASti software during this time, let conclude that effective corporate donation impacts and improves the reputation of the corporation among its stakeholders.

The HEV Ventilator: at the interface between particle physics and biomedical engineering.

A high-quality, low-cost ventilator, dubbed HEV, has been developed by the particle physics community working together with biomedical engineers and physicians around the world. The HEV design is suitable for use both in and out of hospital intensive care units, provides a variety of modes and is capable of supporting spontaneous breathing and supplying oxygen-enriched air. An external air supply can be combined with the unit for use in situations where compressed air is not readily available. HEV supports remote training and post market surveillance via a Web interface and data logging to complement standard touch screen operation, making it suitable for a wide range of geographical deployment. The HEV design places emphasis on the ventilation performance, especially the quality and accuracy of the pressure curves, reactivity of the trigger, measurement of delivered volume and control of oxygen mixing, delivering a global performance which will be applicable to ventilator needs beyond the COVID-19 pandemic. This article describes the conceptual design and presents the prototype units together with a performance evaluation.

On mobility trends analysis of COVID-19 dissemination in Mexico City.

This work presents a tool for forecasting the spread of the new coronavirus in Mexico City, which is based on a mathematical model with a metapopulation structure that uses Bayesian statistics and is inspired by a data-driven approach. The daily mobility of people in Mexico City is mathematically represented by an origin-destination matrix using the open mobility data from Google and the Transportation Mexican Survey. This matrix is incorporated in a compartmental model. We calibrate the model against borough-level incidence data collected between 27 February 2020 and 27 October 2020, while using Bayesian inference to estimate critical epidemiological characteristics associated with the coronavirus spread. Given that working with metapopulation models leads to rather high computational time consumption, and parameter estimation of these models may lead to high memory RAM consumption, we do a clustering analysis that is based on mobility trends to work on these clusters of borough separately instead of taken all of the boroughs together at once. This clustering analysis can be implemented in smaller or larger scales in different parts of the world. In addition, this clustering analysis is divided into the phases that the government of Mexico City has set up to restrict individual movement in the city. We also calculate the reproductive number in Mexico City using the next generation operator method and the inferred model parameters obtaining that this threshold is in the interval (1.2713, 1.3054). Our analysis of mobility trends can be helpful when making public health decisions.

Putative Secondary Structure at 5'UTR as a Potential Antiviral Target against SARS-CoV-2.

SARS-CoV-2 is an enveloped positive-sense single-stranded RNA coronavirus that causes COVID-19, of which the current outbreak has resulted in a high number of cases and fatalities throughout the world, even vaccine doses are being administered. The aim of this work was to scan the SARS-CoV-2 genome in search for therapeutic targets. We found a sequence in the 5'UTR (NC\_045512:74-130), consisting of a typical heptamer next to a structured region that may cause ribosomal frameshifting. The potential biological value of this region is relevant through its low similarity with other viruses, including coronaviruses related to SARS-CoV, and its high sequence conservation within multiple SARS-CoV-2 isolates. We have predicted the secondary structure of the region by means of different bioinformatic tools. We have suggested a most probable secondary structure to proceed with a 3D reconstruction of the structured segment. Finally, we carried out virtual docking on the 3D structure to look for a binding site and then for drug ligands from a database of lead compounds. Several molecules that could be probably administered as oral drugs show promising binding affinity within the structured region, and so it could be possible interfere its potential regulatory role.

C-Reactive protein and SOFA scale: A simple score as early predictor of critical care requirement in patients with COVID-19 pneumonia in Spain.

OBJECTIVE: To identify potential markers at admission predicting the need for critical care in patients with COVID-19 pneumonia. MATERIAL AND METHODS: An approved, observational, retrospective study was conducted between March 15 to April 15, 2020. 150 adult patients aged less than 75 with Charlson comorbidity index ≤6 diagnosed with COVID-19 pneumonia were included. Seventy-five patients were randomly selected from those admitted to the critical care units (critical care group [CG]) and seventy-five hospitalized patients who did not require critical care (non-critical care group [nCG]) represent the control group. One additional cohort of hospitalized patients with COVID-19 were used to validate the score. MEASUREMENTS AND MAIN RESULTS: Multivariable regression showed increasing odds of in-hospital critical care associated with increased C-reactive protein (CRP) (odds ratio 1.052 [1.009-1.101]; P = 0.0043) and higher Sequential Organ Failure Assessment (SOFA) score (1.968 [1.389-2.590]; P < 0.0001), both at the time of hospital admission. The AUC-ROC for the combined model was 0.83 (0.76-0.90) (vs AUC-ROC SOFA P < 0.05). The AUC-ROC for the validation cohort was 0.89 (0.82-0.95) (P > 0.05 vs AUC-ROC development). CONCLUSION: Patients COVID-19 presenting at admission SOFA score ≥ 2 combined with CRP ≥ 9.1 mg/mL could be at high risk to require critical care.

[C-Reactive protein and SOFA scale: A simple score as early predictor of critical care requirement in patients with COVID-19 pneumonia in Spain]. / Proteína C reactiva y escala SOFA: una simple escala como factor predictivo temprano de la necesidad de cuidados críticos en los pacientes con neumonía causada por COVID-19 en España.

OBJECTIVE: To identify potential markers at admission predicting the need for critical care in patients with COVID-19 pneumonia. MATERIAL AND METHODS: An approved, observational, retrospective study was conducted between March 15 to April 15, 2020. 150 adult patients aged less than 75 with Charlson comorbidity index ≤ 6 diagnosed with COVID-19 pneumonia were included. Seventy-five patients were randomly selected from those admitted to the critical care units (critical care group [CG]) and seventy-five hospitalized patients who did not require critical care (non-critical care group [nCG]) represent the control group. One additional cohort of hospitalized patients with COVID-19 were used to validate the score. MEASUREMENTS AND MAIN RESULTS: Multivariable regression showed increasing odds of in-hospital critical care associated with increased C-reactive protein (CRP) (odds ratio 1.052 [1.009-1.101]; P = .0043) and higher Sequential Organ Failure Assessment (SOFA) score (1.968 [1.389-2.590]; P < .0001), both at the time of hospital admission. The AUC-ROC for the combined model was 0.83 (0.76-0.90) (vs AUC-ROC SOFA P < .05). The AUC-ROC for the validation cohort was 0.89 (0.82-0.95) (P > 0.05 vs AUC-ROC development). CONCLUSION: Patients COVID-19 presenting at admission SOFA score ≥ 2 combined with CRP ≥ 9,1 mg/mL could be at high risk to require critical care.

Obesity is a strong risk factor for short-term mortality and adverse outcomes in Mexican patients with COVID-19: a national observational study.

Conflicting results have been obtained through meta-analyses for the role of obesity as a risk factor for adverse outcomes in patients with coronavirus disease-2019 (COVID-19), possibly due to the inclusion of predominantly multimorbid patients with severe COVID-19. Here, we aimed to study obesity alone or in combination with other comorbidities as a risk factor for short-term all-cause mortality and other adverse outcomes in Mexican patients evaluated for suspected COVID-19 in ambulatory units and hospitals in Mexico. We performed a retrospective observational analysis in a national cohort of 71 103 patients from all 32 states of Mexico from the National COVID-19 Epidemiological Surveillance Study. Two statistical models were applied through Cox regression to create survival models and logistic regression models to determine risk of death, hospitalisation, invasive mechanical ventilation, pneumonia and admission to an intensive care unit, conferred by obesity and other comorbidities (diabetes mellitus (DM), chronic obstructive pulmonary disease, asthma, immunosuppression, hypertension, cardiovascular disease and chronic kidney disease). Models were adjusted for other risk factors. From 24 February to 26 April 2020, 71 103 patients were evaluated for suspected COVID-19; 15 529 (21.8%) had a positive test for SARS-CoV-2; 46 960 (66.1%), negative and 8614 (12.1%), pending results. Obesity alone increased adjusted mortality risk in positive patients (hazard ratio (HR) = 2.7, 95% confidence interval (CI) 2.04-2.98), but not in negative and pending-result patients. Obesity combined with other comorbidities further increased risk of death (DM: HR = 2.79, 95% CI 2.04-3.80; immunosuppression: HR = 5.06, 95% CI 2.26-11.41; hypertension: HR = 2.30, 95% CI 1.77-3.01) and other adverse outcomes. In conclusion, obesity is a strong risk factor for short-term mortality and critical illness in Mexican patients with COVID-19; risk increases when obesity is present with other comorbidities.

Recommendations for use of antigenic tests in the diagnosis of acute SARS-CoV-2 infection in the second pandemic wave: attitude in different clinical settings.

The high transmissibility of SARS-CoV-2 before and shortly after the onset of symptoms suggests that only diagnosing and isolating symptomatic patients may not be sufficient to interrupt the spread of infection; therefore, public health measures such as personal distancing are also necessary. Additionally, it will be important to detect the newly infected individuals who remain asymptomatic, which may account for 50% or more of the cases. Molecular techniques are the "gold standard" for the diagnosis of SARS-CoV-2 infection. However, the massive use of these techniques has generated some problems. On the one hand, the scarcity of resources (analyzers, fungibles and reagents), and on the other the delay in the notification of results. These two facts translate into a lag in the application of isolation measures among cases and contacts, which favors the spread of the infection. Antigen detection tests are also direct diagnostic methods, with the advantage of obtaining the result in a few minutes and at the very "pointof-care". Furthermore, the simplicity and low cost of these tests allow them to be repeated on successive days in certain clinical settings. The sensitivity of antigen tests is generally lower than that of nucleic acid tests, although their specificity is comparable. Antigenic tests have been shown to be more valid in the days around the onset of symptoms, when the viral load in the nasopharynx is higher. Having a rapid and real-time viral detection assay such as the antigen test has been shown to be more useful to control the spread of the infection than more sensitive tests, but with greater cost and response time, such as in case of molecular tests. The main health institutions such as the WHO, the CDC and the Ministry of Health of the Government of Spain propose the use of antigenic tests in a wide variety of strategies to respond to the pandemic. This document aims to support physicians involved in the care of patients with suspected SC2 infection, in the context of a growing incidence in Spain since September 2020, which already represents the second pandemic wave of COVID-19.