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Objectives: Patients with systemic lupus erythematosus (SLE) present greater severity of SARS-CoV-2 infection compared to the general population, particularly those with glomerulonephritis and who are treated with glucocorticoids. Likewise, high disease activity and some immunosuppressants have been associated with worse outcomes. The aim of this study was to describe the characteristics of SARS-CoV-2 infection in patients with SLE in Argentina from the SAR-COVID registry and to establish factors associated with a worse outcome. Method(s): Observational study. Patients diagnosed with SLE with confirmed SARS-CoV-2 infection (RT-PCR and/or positive serology) from the SAR-COVID registry were included. Data were collected from August 2020 to March 2022. The outcome of the infection was measured using the World Health Organization-ordinal scale (WHO-OS). Severe COVID-19 was defined as an WHO-OS value >=5. Descriptive analysis, Student's t , Mann Whitney U, ANOVA, Chi2 and Fisher's tests. Multivariable logistic regression. Result(s): A total of 399 patients were included, 93%female, with a mean age of 40.9 years (SD 12.2), 39.6% had at least one comorbidity. At the time of infection, 54.9% were receiving glucocorticoids, 30.8% immunosuppressants, and 3.3% biological agents. SARS-CoV-2 infection was mild in most cases, while 4.6% had a severe course and/or died. The latter had comorbidities, used glucocorticoids, and had antiphospholipid syndrome (APS) more frequently and higher disease activity at the time of infection. In the multivariate analysis, high blood pressure (OR 5.1, 95% CI 1.8-15.0), the diagnosis of APS (4.7, 95% CI 1.2-15.8), and the use of glucocorticoids (10 mg/day or more: OR 5.5, 95% CI 1.6-20.5) were associated with severe hospitalization and/or death from COVID-19 (WHO-EO >= 5). Conclusion(s): In this cohort of SLE patients with confirmed SARS-CoV-2 infection, most had a symptomatic course, 22.1% were hospitalized, and 5% required mechanical ventilation. Mortality was close to 3%. The diagnosis of APS, having high blood pressure, and the use of glucocorticoids were significantly associated with severe COVID-19.
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Background: High disease activity, treatment with glucocorticoids (GC) and rituximab (RTX), have been related to worse outcomes of COVID-19. Objectives: To assess the clinical characteristics and severity of the SARS-CoV-2 infection in patients with rheumatoid arthritis (RA) included in the SAR-COVID registry and to identify factors associated with poor outcomes. Methods: SAR-COVID is a national, longitudinal and observational registry. Patients of ≥18 years old, with diagnosis of RA (ACR-EULAR criteria 2010) who had confrmed SARS-CoV-2 infection (RT-PCR or positive serology) were included between 13-8-20 and 31-7-21. Sociodemographic and clinical data, comorbidities, disease activity and treatment at the moment of the SARS-CoV-2 infection were collected. Additionally, infection symptoms, complications, medical interventions and treatments for COVID-19 were registered. Infection severity was assessed using the WHO-ordinal scale (WHO-OS)1. A cut-off value of ≥5 identifed patients with severe COVID-19 and those who died. Statistical analysis: Descriptive statistics. Chi2 or Fischer test, Student T test or Mann-Whitney and Kruskal Wallis or ANOVA, as appropriate. Multiple logistic regression model. Results: A total of 801 patients were included, with a mean age of 53.1 ± 12.9 years, most of them were female (84.5%) and the median (m) disease duration was 8 years (IQR 4-14). One third were in remission and 46.4% had comor-bidities, being the most frequent, hypertension (26.9 %), dyslipidemia (13.5 %), obesity (13.4 %) and diabetes (8.9%). Moreover, 3.2% had interstitial lung disease (ILD) associated with RA. At SARS-CoV-2 diagnosis, 42.5% were receiving glucocorticoids (GC), 73.9% conventional (c) disease modifying antirheumatic drugs (DMARD), 24% biologic (b) DMARD and 9.1% targeted synthetic (ts) DMARD. Among bDMARD, the most frequently used were TNF inhibitors (17%), followed by abatacept (2.8%), IL-6 inhibitors (2.4%) and rituximab (RTX) (2.1%). During the SARS-CoV-2 infection, 95.8% had symptoms, 27% required hospital-ization, 7.9% presented complications and 4.4% died due to COVID-19. Severe disease and death (WHO-OS≥5) was present in 7.5% of the patients. They were older (62.9±12.5 vs 52.2±12.7, p<0.001), and they had more frequently ILD (18.5% vs 2%, p<0.001), comorbidities (82.5% vs 43.7%, p<0.001), ≥2 comor-bidities (60.3% vs 25.8%, p<0.001), treatment with GC (61% vs 40.7%, p=0.04) and RTX (8.3% vs 1.6%, p=0.007). Conversely, the use of cDMARD and TNF inhibitors was more frequent in patients with WHO-OS<5, nevertheless this difference was not signifcant. Disease activity was comparable between groups. In multivariable analysis, older age, the presence of diabetes, ILD, the use of GC and RTX were signifcantly associated with WHO-OS≥5 (Figure 1). Furthermore, older age (65.7±10.8 vs 52.4±12.8, p<0.001), the presence of comor-bidities (87.9% vs 44.7%, p<0.001), chronic obstructive pulmonary disease (21.9% vs 5.2%, p=0.002), diabetes (30.3% vs 7.9%, p<0.001), hypertension (57.6% vs 25.6%, p<0.001), cardiovascular disease (15.6% vs 3.2%, p=0.005), cancer (9.1% vs 1.3%, p=0.001), ILD (23.3% vs 2.4%, p<0.001) and the use of GC (61.8% vs 41.4%, p=0.02) were associated with mortality. Older age [OR 1.1 IC95% 1.06-1.13] and the use of GC 5-10 mg/day [OR 4.6 IC95% 1.8-11.6] remained signifcantly associated with death due to COVID-19. Conclusion: Treatment with RTX and GC, as well as older age, the presence of diabetes and ILD were associated with poor COVID-19 outcomes in this national cohort of patients with RA. Older patients and those taking GC had a higher mortality rate.
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Background: Persistent symptoms after acute COVID have been described previously. Main symptoms reported are fatigue, arthralgias, myalgias and mental sickness. Defnition and methods vary widely.1 Objectives: To asses prevalence and related factors to long COVID in a retrospective cohort of patients with rheumatic diseases from Argentina. Methods: A total of 1915 patients were registered from August 18th, 2020 to July 29th, 2021. Patients > 18 years old, with rheumatic disease and confrmed infection by SARS-CoV-2 (antigen or RT-PCR) were included. Those dead, with unknown outcome, wrong date or missing data were excluded. Demographic data, comorbidities, rheumatic disease, and characteristics of SARS-CoV-2 infection were recorded. Long COVID was defned according to NICE guidelines (persistent symptoms for more than 4 weeks, without alternative diagnosis). Long COVID symptoms were defned by rheumatologist. Severity of infection was clas-sifed according to WHO ordinal scale. We used descriptive statistics, univariate model (Student's test, chi square test, ANOVA) and multivariate logistic regression analysis. Results: 230 (12%) had long COVID. Median age was 51 (IQR 40-61]) years, 82% were females, 51% were not caucasian. Median of education was 13.3 years (IQR 12-16), 79 % had private health insurance and 55 % were employed. Nearly half (n=762, 46%) had comorbidities, the most prevalent was hypertension (n=396, 24%). The most frequent rheumatic diseases were rheumatoid arthritis (n=719, 42%) and systemic lupus ery-thematosus (n=280, 16 %). Most were in low activity/remission (79%), used Conventional DMARD (n=773 patients, 45%) and steroids (n=588, 34%) at low dose (n=415, 71%). Main laboratory findings were abnormal D-di-mer (n=94, 28%) and leukopenia (n=93, 26%). Most patients had a WHO ordinal scale < 5 (n=1472, 86%). Median of hospitalization at intensive care unit (ICU) was 8 days [IQR 5, 13]. Treatment for SARS-CoV-2 infection (steroids, anticoagulation, azithromycin, convalescent plasma) was used in 461 (27%) patients. Most of long COVID (n= 152, 69%) reported 1 symptom, the most frequent was fatigue (n= 55, 22%). Figure 1. Univariate analysis is presented in Table 1. In multivariate logistic regression analysis non-caucasian ethnicity OR 1.44 (1.07-1.95), years of education OR 1.05 (1-1.09), treatment with cyclophosphamide OR 11.35 (1.56-112.97), symptoms of COVID-19 OR 13.26 (2.75-242.08), severity scale WHO ≥ 5 OR 2.46 (1.68-3.57), and ICU hospitalization days OR 1.09 (1.05-1.14) were factors associated to long COVID. Conclusion: Prevalence of long COVID was 12%. Non-caucasian ethnicity, higher education, treatment with cyclophosphamide, symptoms of COVID-19, severe disease and ICU hospitalization days were related to long COVID.
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The COVID-19 pandemic caused many processes to be digitized, one of them being education. With regard to university education, it was carried out virtually, in such a way that students were affected by the confinement and the coupling to a new educational reality. The objective was to analyze the perception of the effectiveness of the students based on their gender in the teaching - virtual learning process, under a quantitative, non-experimental, cross-sectional, and descriptive approach. A survey structured in five dimensions: psychological, technological, pedagogical, academic activities, and communication, was applied to a sample of 1,348 students from a public university. The results show that there is a significant difference between the perception of effectiveness by gender, taking into account the career groups. In technology, women perceive high effectiveness compared to men, in pedagogical terms, men have a better perception than women, academic activities and communication are perceived in a similar way in both genders, finally, psychologically, women were more affected than men. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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COVID-19 has accelerated the virtualization of processes in universities, academically, the role played by students. A maturity model was developed to determine the student profile based on digital culture, organizational culture and the psychological aspect, the latter being the most affected during confinement. These aspects were integrated to create a model in which students were classified into five profiles: silent, cooperative, creative, star, and superstar. This will allow us to know what type of student we have and what strategies to implement to achieve that they reach the profile of superstar student and can face the virtual teaching - learning process with success. To validate our model, it was applied to a public university where the level of maturity of the students was evidenced and strategies were established that would allow us to lead students with a superstar profile. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Objectives: To compare characteristics of patients with rheumatic disease and COVID-19 in Argentina (SAR-COVID Registry), in contrast to the data reported at the Latin American and global level (Global International Alliance RheumCOVID Registry). Methods: A national, multicenter, longitudinal and observational registry was carried out. Patients older than 18 years, with a diagnosis of rheumatic disease and SARS-CoV-2 infection by PCR or positive serology, were included between August 13, 2020 and April 11, 2021. Demographic data, underlying rheumatic disease, comorbidities, clinical-laboratory characteristics of the SARS-CoV-2 infection, as well as treatments and outcomes. Characteristics of the patients included were compared with the data reported at the Latin American and global level. Descriptive statistics were performed. Comparisons between groups were made using ANOVA, chi2 or Fisher's test. Results: 863 patients from Argentina, 74 patients from Latin America and 583 from the rest of the world were included, mostly women in the three groups (79.4%, 73% and 71% respectively). The most frequent rheumatic diseases in the three groups were rheumatoid arthritis (45.8%, 35%, and 39%, respectively) and systemic lupus erythematosus (18%, 22%, and 14%) (Table 1). In Argentina, fewer patients received specific pharmacological treatment for COVID-19 in relation to the other 2 groups (41.4%, 68% and 43% respectively, p < 0.0001), and there was a lower requirement for non-invasive/invasive mechanical ventilation than in the rest of Latin America and theworld (8.6%vs 31% vs 13%, p < 0.0001). Hospitalization requirement in Argentina was lower than in the rest of Latin America and the rest of theworld (32.8%vs 61% vs 45%, p < 0.0001), as well as mortality (5.8%, 12%and 11%;p 0.0010). 86.9% of patients did not present any complications in Argentina, with a statistically significant difference with the rest of the groups (62% and 77%, with p < 0.0001) (Figure 1). Conclusion: Patients with rheumatic diseases and SARS-CoV-2 infection from Argentina reported in this registry received less specific pharmacological treatment for COVID-19 than those registered in other countries, presented fewer complications and required less ventilatory support. In relation to mortality, although a lower mortality was found in the Argentine registry. The fact that registries have information collected at different periods of the pandemic and different local epidemiological situations, does not allow major conclusions to be drawn.
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Globally, the tourism sector has been affected by COVID-19 pandemic, which has triggered an economic and social crisis. Many countries are currently generating alternatives to promote tourism and allow tourists to return and improve the current situation. In Peru, borders were closed, and therefore the different tourist sites and activities were closed, generating unemployment in the actors involved in the tourism sector, as well as the local communities that underpinned their economy in the activities of this area. Faced with this problem, it is evident that technology and the digitization of tourism activities will allow supporting this sector, so this article proposes a digital transformation model for the reactivation of tourism, taking the Lambayeque region as a case study. We have carried out a systematic investigation of tourism information and applied interviews to specialists in the sector and surveys of the actors involved. The model is based on five dimensions: technology, management, processes, tourism product, and digital tourist. For each dimension, we describe its purpose and the proposals applying solutions and technological tools that allow digital transformation. Our model was validated through an expert judgment, the result of which was acceptable, hoping that its implementation will contribute to the reactivation of tourism. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.