Web 2.0 teaching tools: the Covid-19 effect among university teachers in Spain and Italy

The COVID-19 pandemic has forced some instructors to delve more deeply into the use of Web 2.0-based teaching tools and others to start using them for the first time. This article presents the results of a survey in which 1,344 Spanish university professors and 3,930 Italian professors participated, from all fields of knowledge. The objective is to assess whether university professors perceive that the use of web 2.0 tools will increase in the coming years and thus alter the way they teach after the face-to-face classroom teaching system has been restored. The results show that the perception of change is fairly high and this perception depends mainly on psychographic characteristics, such as attitude, perceived usefulness, social norms, and affective commitment to teaching. Similarities and differences between the two samples of university professors are discussed.

A novel virtual simulation training improves providers' knowledge and confidence to manage obstetric emergencies

Objective: Maternal mortality in the United States (US) is rising and many deaths are preventable. We sought to determine the efficacy of virtual simulation training to optimize management of obstetric emergencies within low and moderate volume delivery hospitals that are disproportionately affected by adverse maternal outcomes. Study Design: The educational platform was designed and deployed within urban non-teaching and rural hospitals, with low and moderate delivery volumes, in the US during the COVID-19 pandemic. Self-paced, interactive, online didactics on postpartum hemorrhage and hypertensive disorders of pregnancy were followed by two, 2-hour live virtual simulation trainings and debriefings. In this innovative simulation modality, participants verbalized actions to their co-participants and the simulation faculty as scenarios evolved with images, vitals and videos displayed on a PowerPoint. Participants completed multiple-choice questionnaires and confidence and attitude surveys prior to, immediately after and 3-months post-training. The multiple-choice questions were evidence-based using information from published guidelines and were validated by local experts. Paired t-tests were performed to asses for changes in knowledge and confidence. Result(s): From December 2021 to March 2022, four hospitals received training (Table 1). Participants (n=22) were comprised of nurses (59%), certified nurse midwives (14%) and attending physicians (23%) in Obstetrics, Family Practice or Anesthesiology. The survey response rate was 59%. The mean difference in knowledge and confidence scores significantly improved immediately post-training compared to baseline (P < 0.05 for all, Table 2). This improvement was maintained 3 months following the training. Participants reported their preferred training format was hybrid (43%), virtual (35.7%) or in-person (21.4%). Conclusion(s): Virtual obstetric simulation is feasible and improves knowledge and confidence, which can be retained over time. This educational modality is sustainable, scalable and an accessible format to enhance education and training. [Formula presented] [Formula presented] Copyright © 2022

Paradoxical effects of cigarette smoke and COPD on SARS-CoV-2 infection and disease.

BACKGROUND: How cigarette smoke (CS) and chronic obstructive pulmonary disease (COPD) affect severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) infection and severity is controversial. We investigated the effects of COPD and CS on the expression of SARS-CoV-2 entry receptor ACE2 in vivo in COPD patients and controls and in CS-exposed mice, and the effects of CS on SARS-CoV-2 infection in human bronchial epithelial cells in vitro. METHODS: We quantified: (1) pulmonary ACE2 protein levels by immunostaining and ELISA, and both ACE2 and/or TMPRSS2 mRNA levels by RT-qPCR in two independent human cohorts; and (2) pulmonary ACE2 protein levels by immunostaining and ELISA in C57BL/6 WT mice exposed to air or CS for up to 6 months. The effects of CS exposure on SARS-CoV-2 infection were evaluated after in vitro infection of Calu-3 cells and differentiated human bronchial epithelial cells (HBECs), respectively. RESULTS: ACE2 protein and mRNA levels were decreased in peripheral airways from COPD patients versus controls but similar in central airways. Mice exposed to CS had decreased ACE2 protein levels in their bronchial and alveolar epithelia versus air-exposed mice. CS treatment decreased viral replication in Calu-3 cells, as determined by immunofluorescence staining for replicative double-stranded RNA (dsRNA) and western blot for viral N protein. Acute CS exposure decreased in vitro SARS-CoV-2 replication in HBECs, as determined by plaque assay and RT-qPCR. CONCLUSIONS: ACE2 levels were decreased in both bronchial and alveolar epithelial cells from COPD patients versus controls, and from CS-exposed versus air-exposed mice. CS-pre-exposure potently inhibited SARS-CoV-2 replication in vitro. These findings urge to investigate further the controversial effects of CS and COPD on SARS-CoV-2 infection.

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.

Development and validation of the patient history COVID-19 (PH-Covid19) scoring system: a multivariable prediction model of death in Mexican patients with COVID-19.

Most of the existing prediction models for COVID-19 lack validation, are inadequately reported or are at high risk of bias, a reason which has led to discourage their use. Few existing models have the potential to be extensively used by healthcare providers in low-resource settings since many require laboratory and imaging predictors. Therefore, we sought to develop and validate a multivariable prediction model of death in Mexican patients with COVID-19, by using demographic and patient history predictors. We conducted a national retrospective cohort study in two different sets of patients from the Mexican COVID-19 Epidemiologic Surveillance Study. Patients with a positive reverse transcription-polymerase chain reaction for SARS-CoV-2 and complete unduplicated data were eligible. In total, 83 779 patients were included to develop the scoring system through a multivariable Cox regression model; 100 000, to validate the model. Eight predictors (age, sex, diabetes, chronic obstructive pulmonary disease, immunosuppression, hypertension, obesity and chronic kidney disease) were included in the scoring system called PH-Covid19 (range of values: -2 to 25 points). The predictive model has a discrimination of death of 0.8 (95% confidence interval (CI) 0.796-0.804). The PH-Covid19 scoring system was developed and validated in Mexican patients to aid clinicians to stratify patients with COVID-19 at risk of fatal outcomes, allowing for better and efficient use of resources.