ABSTRACT
This paper analyses the context of disinformation in Spain from the perspective of the pseudo-media (i.e., websites that mimic conventional media to offer partisan content based on alternative facts). Using a quantitative (N = 1,143) and qualitative (n = 396) methodology, this research analyses publications from eight Spanish pseudo-media that reach more than 4 million unique users. Results reveal an interest in three topics: vaccination, restrictions and speculation about Covid-19, national politics -focused on criticism against government- and topics related to human rights -mainly LGBTI, gender, immigration- with a total of 58.1% of the content published in four sections (International, Spain, Society, and Economy). The study reveals a growing trend towards polarisation and the use of clickbait techniques in four out of ten headlines. The Internet and social media are the most common sources quoted, while a third of the items lack sources or correspond to opinion pieces. Minorities and vulnerable groups are framed as a social threat, and the presentation of the coalition government as a danger to Spain that must be put to an end, which makes the discourse of these websites in tune with the ideology of the far right wing.
ABSTRACT
Hybrid media context and the infodemic have increased the threat of disinformation, particularly among young people who mostly consume digital content. This article aims to identify the competencies needed to detect low-quality content linked to disinformation by Journalism and Communications undergraduates from Argentina, Chile, and Spain. Based on a double comparative study by countries and levels of education, it tries to predict the skills of future journalists in recognising false information. From an online questionnaire, the participants (N=300) evaluated the quality observed (minimum, average or excellent) and the problems detected from 12 items published in both conventional and pseudo-media. The comparison of results with the expert group shows that about 60% of the students have difficulties in identifying quality accurately and that this ability is higher in the advanced groups. From a selection of five news items, the participants were only able to successfully report 25.3% of the real mistakes in the texts. The correct identification of these mistakes improves in news related to the COVID-19 pandemic. Conclusions reveal that undergraduates overestimate their ability to detect disinformation, with a self-perception of 3.46 out of 5. The results also indicate that their media diet combines digital media and social media as a priority, while traditional media have a residual nature.
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RATIONALE: The identification of minimally invasive and easily-accessible biomarkers to support the management of coronavirus disease 2019 (COVID-19) in hospitalized patients constitutes a hot topic in clinical research. MicroRNAs (miRNAs) have been proposed as clinical indicators to assist in medical decision-making. Here, we aimed to examine the circulating miRNA profile of hospitalized COVID-19 patients and to evaluate its potential as a source of biomarkers for the management of the disease. METHODS: Observational, prospective and multicenter study which included 84 patients with a positive nasopharyngeal swab PCR test for SARS-CoV-2, recruited during the first pandemic wave in Spain (March-May 2020). Patients were stratified according to disease severity: hospitalized patients admitted to the clinical wards without requiring critical care (n = 47) and hospitalized patients admitted to the ICU (n = 37). An additional study considering ICU non-survivors (n=17) and survivors (n = 20) was performed. Expression profiling of 41 miRNAs was performed in plasma samples using RT-qPCR. The panel included miRNAs associated with: i) immune/inflammatory response;ii) lung damage;iii) respiratory viral infections;iv) myocardial damage;v) coagulation. Quality control was performed using spike-ins and hemolysis tests. Predictive models were constructed using a variable selection process based on LASSO regression. RESULTS: Ten circulating miRNAs were deregulated in ICU compared to ward patients. LASSO analysis identified a signature of three miRNAs that displayed an optimal discrimination ability to distinguish between ICU and ward patients (AUC = 0.88) (Figure 1A). Among ICU patients, six miRNAs were downregulated when comparing nonsurvivors to survivors. A signature based on two miRNAs was found to be a relevant predictor of mortality during ICU stay (AUC = 0.84) (Figure 1B). The discrimination potential of the miRNA signature was higher than the observed for clinical laboratory parameters such as leukocyte counts (including neutrophil count, lymphocyte count and the neutrophil-tolymphocyte ratio), CRP or D-dimer (maximum AUC for these variables = 0.76). CONCLUSIONS: The severity of COVID-19 impacts on the circulating miRNA profile. The results suggest the potential usefulness of the circulating miRNA signature for the management of the disease over contemporaneous tests, at least in ICU patients.
ABSTRACT
Background More than 20% of hospitalized patients with coronavirus disease 2019 (COVID-19) develop acute respiratory distress syndrome (ARDS) requiring intensive care unit (ICU) admission. The long-term respiratory sequelae in ICU survivors remain unclear. Aim: To perform a detailed characterization of the long-term pulmonary sequelae in critical COVID-19 survivors. Study Design and Methods Consecutive patients with COVID-19 requiring ICU admission were recruited and evaluated 3 months after hospitalization discharge. The follow-up comprised symptom and quality of life, anxiety and depression questionnaires, pulmonary function tests, exercise test (6-minute walking test (6MWT)) and chest computed tomography (CT). Results 125 ICU patients with ARDS secondary to COVID-19 were recruited between March and June 2020. At the 3-month follow-up, 62 patients were available for pulmonary evaluation. The most frequent symptoms were dyspnea (46.7%), and cough (34.4%). Eighty-two percent of patients showed a lung diffusing capacity of less than 80%. The mean distance in the 6MWT was 401±93 mts. CT scans were abnormal in 70.2% of patients, showing reticular lesions in 49.1% and fibrotic patterns in 21.1%. Patients with more severe alterations on chest CT had worse pulmonary function and presented more degrees of desaturation in the 6MWT. Factors associated with the severity of lung damage on chest CT were age and prone position during the ICU stay. Interpretation Pulmonary structural abnormalities and functional impairment are highly prevalent in surviving ICU patients with ARDS secondary to COVID-19 3 months after hospital discharge. Pulmonary evaluation should be considered for all critical COVID-19 survivors 3 months post discharge.