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BackgroundData on cellular and humoral immunogenicity triggered by SARS-CoV-2 vaccines in patients with autoimmune rheumatic diseases (ARDs) are limited. While current vaccine efforts have focused on the induction of neutralizing antibodies against SARS-CoV-2, T-cell immunity may also provide protection against infection. Experimental data suggest that CD8+ T cell responses may have a protective role in the presence of decreasing or sub protective antibody titers [1].ObjectivesThe aim of this project is to describe the serological and T cell responses to the third dose of vaccine (either with BNT162b2 mRNA or ChAdOx1 nCoV-19 replication-deficient adenoviral vector vaccines) in a cohort of patients with ARDs (rheumatoid arthritis and spondyloarthropathies) treated with biologic therapies, to describe the impact of these treatments on vaccine response in this patient population. As a second objective, we will describe the characteristics of patients who did not present an adequate immunogenic response.MethodsCase-control study. We studied in 79 patients with ARDs and in 31 healthy controls, anti-SARS-CoV-2 specific interferon-gamma (IFN-γ) production measured by IGRA between 8-12 weeks after the third dose of anti-SARS-CoV-2 vaccine. In addition, humoral response was measured by anti-S1 IgG antibody production measured by chemiluminescent microparticle immunoassay. Statistical comparison between categorical variables was performed by Fisher's or χ2 test. For quantitative variables by Kruskal-Wallis test or Mann-Whitney test.Results79 patients with ARDs (48 women, 31 men;mean age 58±11.4) 43 (54%), with rheumatoid arthritis and 36 (45.6%) with spondyloarthropathies. 32 (49.5%) of them were on glucocorticoid treatment (mean dose 4.92 mg/day), 25 (31.6%) on methotrexate and 56 (70.9%) on anti-TNF. Post-vaccination results showed positive T-cell immune responses in 68 of 79 (86.1%) ARDs patients with mean IFN- γ anti-SARS-CoV-2 titers of 1,606.85 mUI/ml. 7 (8.9%) of ARDs patients showed negative IFN-γ SARS-CoV-2 levels, while 4 (5%) had borderline titers. 100% of patients with previous COVID 19 disease had positive cellular responses. Within the group of negative or borderline cellular responses, 7 of 10 were men (70%), with no significant differences in terms of diagnosis, comorbidities or immunosuppressive treatments used. In the control group, 100% presented positive cellular responses. Anti-Spike IgG antibodies were detectable in all patients with ARDs as in the control group.ConclusionOur preliminary data show that most patients with ARD were able to generate an adequate specific cellular response after vaccination against SARS-CoV-2, emphasizing the relevance of vaccination in this group. Specific antibody responses secondary to anti-SARS-CoV-2 vaccination were detected in all patients with ARD. Our data could support the relevance of these immune responses to personalize prevention, vaccination decision-making and treatment in this subgroup of patients.References[1]Sieiro Santos C, Calleja Antolin S, Moriano Morales C, Garcia Herrero J, Diez Alvarez E, Ramos Ortega F, et al. Immune responses to mRNA vaccines against SARS-CoV-2 in patients with immune-mediated inflammatory rheumatic diseases. RMD Open. 2022 Jan 5;8(1).Figure 1.Specific anti-SARS-CoV-2-IFN- γ responses measured by IGRA. Dotted lines represent positivity cut-off: ≥200mUI/ml. HC: Healthy controls. AIRDs: Autoimmune rheumatic diseases.[Figure omitted. See PDF]Acknowledgements:NIL.Disclosure of InterestsNone Declared.
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Blackground and objective: Virtual healthcare models, usually between healthcare professionals and patients, have developed strongly during the coronavirus disease 2019 (COVID-19) pandemic, but there are not data of models between clinicians. Our objective is to analyse the impact of the COVID-19 pandemic on the activity and health outcomes of the universal e-consultation program for patient referrals between primary care physicians and the Cardiology Department in our area. Methods: Patients with at least one e-consultation between 2018 and 2021 were selected. We analysed the impact of the COVID-19 pandemic on activity and waiting time for care, hospitalizations and mortality, taking as a reference the consultations carried out during 2018. Results: We analysed 25,121 patients. Through logistic regression analysis, it was observed that a shorter delay in care and resolution of the e-consultation without the need for face-to-face care were associated with a better prognosis. The COVID-19 pandemic periods (2019-2020 and 2020-2021) were not associated with worse health outcomes compared to 2018. Conclusions: The results of our study show a significant reduction in e-consult referrals during the first year of the COVID-19 pandemic with a subsequent recovery in the demand for care without the pandemic periods being associated with worse outcomes. The reduction in the time elapsed for solving the e-consult and no need for in-person visit were associated with better outcomes.
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Background and objective Virtual healthcare models, usually between healthcare professionals and patients, have developed strongly during the coronavirus disease 2019 (COVID-19) pandemic, but there are no data corresponding to models between clinicians. An analysis was made of the impact of the COVID-19 pandemic upon the activity and health outcomes of the universal e-consultation program for patient referrals between primary care physicians and the Cardiology Department in our healthcare area. Methods Patients with at least one e-consultation between 2018 and 2021 were selected. We analyzed the impact of the COVID-19 pandemic upon activity and waiting time for care, hospitalizations and mortality, taking as reference the consultations carried out during 2018. Results A total of 25,121 patients were analyzed. Logistic regression analysis showed a shorter delay in care and resolution of the e-consultation without the need for face-to-face care to be associated to a better prognosis. The COVID-19 pandemic periods (2019–2020 and 2020–2021) were not associated to poorer health outcomes compared to 2018. Conclusions The results of our study show a significant reduction in e-consultation referrals during the first year of the COVID-19 pandemic, with a subsequent recovery in the demand for care, and without the pandemic periods being associated to poorer outcomes. The reduction in time elapsed for resolving the e-consultations and no need for face-to-face visits were associated to improved outcomes.
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BACKGROUND AND OBJECTIVE: Virtual healthcare models, usually between healthcare professionals and patients, have developed strongly during the coronavirus disease 2019 (COVID-19) pandemic, but there are no data corresponding to models between clinicians. An analysis was made of the impact of the COVID-19 pandemic upon the activity and health outcomes of the universal e-consultation program for patient referrals between primary care physicians and the Cardiology Department in our healthcare area. METHODS: Patients with at least one e-consultation between 2018 and 2021 were selected. We analyzed the impact of the COVID-19 pandemic upon activity and waiting time for care, hospitalizations and mortality, taking as reference the consultations carried out during 2018. RESULTS: A total of 25,121 patients were analyzed. Logistic regression analysis showed a shorter delay in care and resolution of the e-consultation without the need for face-to-face care to be associated to a better prognosis. The COVID-19 pandemic periods (2019-2020 and 2020-2021) were not associated to poorer health outcomes compared to 2018. CONCLUSIONS: The results of our study show a significant reduction in e-consultation referrals during the first year of the COVID-19 pandemic, with a subsequent recovery in the demand for care, and without the pandemic periods being associated to poorer outcomes. The reduction in time elapsed for resolving the e-consultations and no need for face-to-face visits were associated to improved outcomes.
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COVID-19 , Cardiologists , General Practitioners , Remote Consultation , Humans , COVID-19/epidemiology , Pandemics , Referral and ConsultationABSTRACT
This paper presents an analysis of the insufficient use of digital education, as a component of distance education and support for blended and face-to-face education, in higher education institutions in Cuba. The international consensus on the advantages offered by moving towards an education that combines face-to-face with non-face-to-face has been reaffirmed in the scenario of the COVID-19 pandemic. The urgency of guaranteeing digital education with quality standards supported by adequate pedagogies, technologies and content production has been demonstrated. The analysis based on the logical framework methodology describes the current situation and identifies different pathways for its transformation. The problems still persisting were identified, despite the efforts made to improve the infrastructure;the establishment of policies and models;of carrying out methodological and training activities. The decision to group the problems and working objectives into three groups: human resources training;management commitment and monitoring and technological equipment was effective. This preliminary look, as well as the objectives and results identified in the research, have been used in the formulation of projects aimed at solving the problem posed. © 2023, University of Cienfuegos, Carlos Rafael Rodriguez. All rights reserved.
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The Covid-19 pandemic and the arrival of Disney + marked the second quarter of 2020 in the Spanish audiovisual market. Thus, the period of home confinement among the Spanish population coincided with the irruption of the new streaming service of one of the best-known and most loved brands worldwide. However, Netflix was the most consumed SVoD during this period. The objective of this research is to find out what the Californian company has done in communicative terms as a market leader and in the face of the need to adapt to the new circumstances of its audiences. The results show how Netflix Spain has integrated COVID-19 in its social media strategy in the pass between the lockdown and maximum consumption to a progressive lessening of social restrictions. The content analysis of Twitter and Instagram found 121 messages regarding pandemic (from a total of 1380). Netflix employed Twitter to connect with its audiences with humor, proximity and information, using taboos in the hardest moments, and an increased frequency of publications as the health situation improved. On the contrary, on Instagram there was no specific strategy, but imitation of the practices on Twitter and scarce references to COVID. Besides, there has been an evolution of the messages more or less parallel to the public health changes, choosing a strategy of proximity with the users, and with a communication closer to an influencer rather than a company. Copyright © 2022 (Fernández-Gómez, Martín-Quevedo, Feijoo Fernández).
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Purpose: Solid organ transplant recipients (SOTRs) are at an elevated risk of developing non-melanoma skin cancers. Routine dermatologic surveillance has been shown to improve skin cancer outcomes in SOTRs. However, the COVID-19 pandemic has had a profound impact on delivery of care. Among the general population, recent studies have found an increase in the number of teledermatology visits despite an overall decrease in dermatology visits, a decline in treatment adherence, and a stated preference for in-person care. The impact of the ongoing pandemic on dermatologic care in SOTRs, a high-risk population, remains largely unexplored. We sought to compare rates of usage of dermatology in-person and telemedicine services and new skin cancer diagnoses among SOTRs before and during the first wave of the COVID-19 pandemic in Los Angeles, CA. Method(s): A retrospective study was performed on patients who received solid organ transplants at Keck Hospital of USC between 2013-2018. The number of visits to our dermatology department during two 17-month time periods was counted: 1) prepandemic, October 2018-March 2020 and 2) peri-pandemic, April 2020-September 2021. Each visit was categorized based on 1) general dermatology vs. Mohs surgery or follow-up and 2) in-person vs. telemedicine. Lastly, the number of new skin cancer diagnoses during these two time periods was counted. Result(s): Among a total of 1569 SOTRs, 154 patients had at least 1 dermatology visit in the pre-COVID 19 pandemic period, compared to 135 in the peri-pandemic period (p=0.241). While there was no significant decline in the mean number of general dermatology in-person visits per patient (p=0.266), there was a significant increase in general telemedicine visits during the same timeframe (p=0.026). Lastly, 11 new skin cancer diagnoses were made pre-pandemic, compared to 13 peri-pandemic (p=0.270). Conclusion(s): Our findings suggest our high-risk population of SOTRs did not experience significant disruption to routine delivery of dermatologic care during the first wave of the COVID-19 pandemic. Like prior studies, we found an increased reliance on teledermatology services, however without a concomitant decline in access to in-person care. Furthermore, the similar pre- and peri-pandemic rates of new skin cancer diagnoses do not raise concern for a future surge in skin cancer morbidity and mortality. By continuing to investigate the usage of dermatology services by SOTRs during the ongoing pandemic, we hope to address barriers to dermatologic care and prevent a rise in skin cancer morbidity and mortality. (Table Presented).
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In recent years, researchers have oriented their studies towards new technologies based on quantum physics that should allow the resolution of complex problems currently considered to be intractable. This new research area is called Quantum Computing. What makes Quantum Computing so attractive is the particular way with which quantum technology operates and the great potential it can offer to solve real-world problems. This work focuses on solving combinatorial optimization problems, specifically assignment problems, by exploiting this novel computational approach. A case-study, denoted as the Seating Arrangement Optimization problem, is considered. It is modeled through the Quadratic Unconstrained Binary Optimization (QUBO) paradigm and solved through two tools made available by the D-Wave Systems company, QBSolv and a quantum-classical hybrid system. The obtained experimental results are compared in terms of solution quality and computational efficiency. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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Background: The COVID-19 pandemic continues worldwide and has had a strong impact on public health. As the pandemic evolves, efforts have been inten-sifed to identify persistent symptoms associated with the infection once resolved have intensifed. Objectives: We aimed to describe persistent symptoms and sequelae in patients with rheumatic and musculoskeletal diseases (RMD) after admission due to Covid-19. We also compared the role of autoimmune rheumatic diseases (ARD) with that of non-autoimmune rheumatic and musculoskeletal diseases (NARD) in persistent symptoms and sequelae. Methods: We performed an observational study of patients with RMD who attended a rheumatology outpatient clinic in Madrid and required admission to hospital due to Covid-19 (1st March-30th May 2020) and survived. The study began at discharge and ran until 1st October 2020. The main outcomes were persistence of symptoms and sequelae related to Covid19. The independent variable was the RMD group (ARD and NARD). The covariates were sociode-mographic data, clinical fndings, and treatment. We ran a multivariate logistic regression model to assess the risk of the main outcomes by RMD group. Results: We included 105 patients, of whom 51.5% had ARD and 68.57% reported at least 1 persistent symptom. The most frequent were dyspnea, fatigue, and chest pain. Sequelae were recorded in 31 patients. These included lung damage in 10.4% of patients, lymphopenia in 10%, central retinal vein occlusion (1 patient), and optic neuritis (1 patient). Two patients died. Eleven patients required readmission owing to Covid-19 problems (16.7% ARD vs 3.9% NARD;p=0.053). No statistically signifcant differences were found between RMD groups in the fnal models. Conclusion: Many RMD patients have persistent symptoms, as in other populations. Lung damage is the most frequent sequela. Compared to NARD patients, ARD patients do not seem to differ in terms of persistent symptoms or sequelae, although ARD patients might generate more readmissions due to Covid-19.
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OBJECTIVE: The objective of the study is to identify the risk factors associated with mortality at six weeks, especially by analyzing the role of antivirals and munomodulators. DESIGN: Prospective descriptive multicenter cohort study. SETTING: 26 Intensive care units (ICU) from Andalusian region in Spain. PATIENTS OR PARTICIPANTS: Consecutive critically ill patients with confirmed SARS-CoV-2 infection were included from March 8 to May 30. INTERVENTIONS: None. VARIABLES: Variables analyzed were demographic, severity scores and clinical condition. Support therapy, drug and mortality were analyzed. An univariate followed by multivariate Cox regression with propensity score analysis was applied. RESULTS: 495 patients were enrolled, but 73 of them were excluded for incomplete data. Thus, 422 patients were included in the final analysis. Median age was 63 years and 305 (72.3%) were men. ICU mortality: 144/422 34%; 14 days mortality: 81/422 (19.2%); 28 days mortality: 121/422 (28.7%); 6-week mortality 152/422 36.5%. By multivariable Cox proportional analysis, factors independently associated with 42-day mortality were age, APACHE II score, SOFA score at ICU admission >6, Lactate dehydrogenase at ICU admission >470U/L, Use of vasopressors, extrarenal depuration, %lymphocytes 72h post-ICU admission <6.5%, and thrombocytopenia whereas the use of lopinavir/ritonavir was a protective factor. CONCLUSION: Age, APACHE II, SOFA>value of 6 points, along with vasopressor requirements or renal replacement therapy have been identified as predictor factors of mortality at six weeks. Administration of corticosteroids showed no benefits in mortality, as did treatment with tocilizumab. Lopinavir/ritonavir administration is identified as a protective factor.
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COVID-19 , SARS-CoV-2 , Cohort Studies , Critical Illness , Female , Hospital Mortality , Humans , Infant , Lopinavir/therapeutic use , Male , Middle Aged , Prospective Studies , Ritonavir/therapeutic useABSTRACT
Objective The objective of the study is to identify the risk factors associated with mortality at six weeks, especially by analyzing the role of antivirals and munomodulators. Design Prospective descriptive multicenter cohort study. Setting 26 Intensive care units (ICU) from Andalusian region in Spain. Patients or participants Consecutive critically ill patients with confirmed SARS-CoV-2 infection were included from March 8 to May 30. Interventions None. Variables Variables analyzed were demographic, severity scores and clinical condition. Support therapy, drug and mortality were analyzed. An univariate followed by multivariate Cox regression with propensity score analysis was applied. Results 495 patients were enrolled, but 73 of them were excluded for incomplete data. Thus, 422 patients were included in the final analysis. Median age was 63 years and 305 (72.3%) were men. ICU mortality: 144/422 34%;14 days mortality: 81/422 (19.2%);28 days mortality: 121/422 (28.7%);6-week mortality 152/422 36.5%. By multivariable Cox proportional analysis, factors independently associated with 42-day mortality were age, APACHE II score, SOFA score at ICU admission >6, Lactate dehydrogenase at ICU admission >470 U/L, Use of vasopressors, extrarenal depuration, %lymphocytes 72 h post-ICU admission <6.5%, and thrombocytopenia whereas the use of lopinavir/ritonavir was a protective factor. Conclusion Age, APACHE II, SOFA > value of 6 points, along with vasopressor requirements or renal replacement therapy have been identified as predictor factors of mortality at six weeks. Administration of corticosteroids showed no benefits in mortality, as did treatment with tocilizumab. Lopinavir/ritonavir administration is identified as a protective factor.
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Background: Spain has been one of the countries most impacted by the COVID-19 pandemic. Among Spanish patients, 56,799 deaths have been reported. Although we have been in this situation of pandemic for a year, studies that show risk mortality rates in patients with rheumatic diseases continue to be scarce. Objectives: In patients with rheumatic and musculoskeletal diseases (RMDs) and infected with Covid -19, a) we want to assess the mortality rate (MR) related to COVID-19;and b) to analyze the role of RMDs in mortality risk. Methods: An observational longitudinal study was conducted during the epidemic peak in Madrid (1stMar to 20thMay2020). All patients attended at the rheumatology outpatient clinic of a tertiary hospital with a diagnosis of RMDs and SARS -CoV 2 infection were included (according to a medical diagnosis or confirmed with a positive SARS-CoV-2 PCR diagnostic test). All patients were included since the time of COVID-19 diagnosis. Main outcome: death related to COVID-19 infection. Independent variable: type of RMDs including: autoimmune (systemic autoimmune conditions (SAC) and inflammatory joint disease (IJD)) and non-autoimmune (mechanical diseases and inflammatory diseases (microcrystalline arthritis and tendonitis)). Covariates: sociodemographic, comorbidities, chronic use of corticoids prior to COVID-19 infection. Survival techniques were used to estimate the MR related to COVID-19, given per 1,000 persons-month with a 95% confidence interval [CI]. The time of observation comprised the elapsed time between the date of COVID-19 diagnosis of infection until the date of patient's death, or end of study. Cox multiple regression analysis was run to examine the effect of autoimmune RMDs compared to non-autoimmune RMDs on mortality risk adjusted by sex, age and comorbidities. Results were expressed by Hazard Ratio (HR) and [CI]. Results: 406 patients were included with RMD and Covid -19 infection with a total follow-up 642.5 patients-month. 69.21% were women with a mean age at diagnosis of 60 ± 15.26 years. The evolution time from the diagnosis of rheumatic disease was 8 ± 8.38 years. 26% had comorbidity at baseline. 25% were chronically on corticoids prior to the infection. Of the 406 patients, 244 (60.09%) had non-autoimmune RMD (157 mechanic, 87 inflammatory) and 162 (39.9%) (106 (65.43%) IJD, 56 (34.56%) systemic condition) had autoimmune RMD. Of the 406 patients, 45 (11%) died during the follow-up, being 12± 14 days the mean time from infection to death (P50: 6[2-12] and a maximum of 60 days). MR was estimated in 70.03 [52.28-93.79] per 1,000 persons-month. MR was higher for men (MR 105[68-163]) than for women (MR 55 [37.2-81.6]) and in older people (MR <60: 4.4, [0.6-31.7];MR 60-75 years: 38.7[17.3-86.2];MR ≥75Years: 486 [354-1668]). The HR of mortality in autoimmune RMDs compared to non-autoimmune RMDs did not achieved statistical significance (HR: 1.39 [0.77-2.5], p=0.27). After adjusting for confounders, we did not find higher risk of mortality among the different types of RMDs (HR autoimmune vs non-autoinmunes: HR: 1.12 [0.6-2.02], p=0.7;HR IJD vs SAC;1.5 [0.6-3.6], p=0.34;HR non-autoimmune vs SAC: 1.1 [0.5-2.5], P=0.7). Age (HR: 1.12;[1.10-1.15], p<0.001), and the presence of comorbidities (HR: 2.05;[1.08-3.89], p=0.027) increased the Mortality risk. Conclusion: In patients with RMD and COVID-19 infection, we found a mortality rate of 7 per 100 persons-month. This study shows that the mortality risk related to COVID-19 is similar between autoimmune and non-autoimmune diseases after adjusting by confounders. We also found that age and comorbidities are risk factors for mortality related to COVID-19 infection.
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Background: The COVID-19 pandemic continues worldwide and has had a strong impact on public health, quality of life and economy of the general population. To date, the number of infections and deaths are still increasing. From the beginning of the pandemic, efforts were intensified to identify risk factors for development of the severe form of COVID-19. In this sense underlying medical comorbidities have been shown to have a worse prognosis in these patients. Objectives: In patients with rheumatic and musculoskeletal diseases (RMDs) and infected with Covid -19, we aim to investigate the role of systemic autoimmune conditions compared to other type of RMDs in severity of COVID-19 in terms of hospital admissions. Methods: An observational longitudinal study was conducted during the epidemic peak in Madrid (1stMar to 20thMay2020). All patients attended at the rheumatology outpatient clinic of a tertiary hospital with a diagnosis of RMDs and COVID-19 infection were included (according to a medical diagnosis or confirmed with a positive SARS-CoV-2 PCR diagnostic test). All patients were included since the time of COVID-19 diagnosis. Main variable: hospital admission related to Covid -19 infection. Independent variable: type of RMD including: autoimmune (systemic autoimmune conditions and inflammatory joint disease (IJD)) and nonautoimmune (mechanical diseases, and inflammatory diseases (microcrystalline arthritis and tendonitis)). Covariates: sociodemographic, clinical and therapy used. Statistical analysis: description of the sociodemographic, clinical and treatment characteristics of the patients. A multivariate logistic regression adjusted by age, sex and comorbidities was used to evaluate the risk of the different types of RMDs in hospital admissions related to Covid-19. The results were expressed as OR with its corresponding confidence interval (95% CI). Results: 406 patients were included with RMDs and Covid-19 infection. 69.21% were women with a mean age at diagnosis of 60 ± 15.26 years. The evolution time from the diagnosis of RMD was 8 ± 8.38 years. 26% had comorbidity at baseline. 25% were chronically on corticoids prior to the infection. Of the 406 patients, 244 (60.09%) had non-autoimmune RMD (157 mechanic, 87 inflammatory) and 162 (39.9%) (106 (65.43%) IJD, 56 (34.56%) systemic autoimmune condition) had autoimmune RMD. 36% of all patients were admitted (31% from not autoimmune RMDs and 43% from autoimmune RMD (p = 0,013). The risk of hospital admission in autoimmune RMD compared to non-autoimmune RMD was higher (OR: 1.68;[1.11-2.54], p=0.013), being the risk of systemic autoimmune condition compared to both IJD and non-autoimmune RMD higher (OR IJD: 0.41 [0.21-0.51], p=0.01;OR non-autoimmune: 0.33;[0.18-0.61];p=0.000). After adjusting by confounders, autoimmune RMD had higher risk of hospital admissions compared to the rest (OR: 1.75;[1.04-2.95];p=0.03), and specifically systemic autoimmune condition had higher risk compared to IJD (OR of IJD 0.33;[0.14-.076];p=0.009) and compared to non-autoimmune (OR non autoimmune 0.28;[0.13-0.59], p=0.001). Advanced age (OR: 1.10;[1.07-1.12], p<0.001), male (OR 0.58;[0.33-1.02], p=0.06), and more number of comorbidities (OR 1.39;[1.02-1.90] p=0.03) also increased the risk of hospitalization related to COVID-19. Conclusion: One third of the RMD patients infected with COVID-19 required hospital admission. This study shows that patients with autoimmune and specifically with systemic autoimmune conditions have a higher risk of hospitalization related to COVID-19. We also show that advanced age, male sex and a higher number of comorbidities can contribute to worsen the prognosis of the COVID-19 disease.
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Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), triggers the innate immune system, leading in severe cases, an excessive immune response, which can lead to high levels of pro-inflammatory cytokines promoting a “cytokine storm”. To modulate this exaggerated inflammatory response, several clinical trials with already approved and well-known therapeutic agents that inhibit the inflammatory response, are being carried out. However, none of these drugs seems to achieve the desired results when treating COVID19. Colchicine, a drug often used in the management of patients with Rheumatic and Musculoskeletal diseases (RMDs), is one of the several drugs that are being currently tested for efficacy in COVID19 due to its anti-inflammatory effects. Objectives: To analyze association between colchicine prescription and COVID19-related hospital admissions in patients with Rheumatic and Musculoskeletal diseases (RMDs). Methods: Patients attending a rheumatology outpatient clinic from a tertiary care center in Madrid, Spain, from 1st September 2019 to 29th February 2020 were included. Patients were assigned as exposed or unexposed based on whether they were prescribed with colchicine in their last visit to the clinic during the 6 months before the start of the observation period. Treatment changes during the observation period were also considered. The primary outcome was COVID19-related hospital admissions occurring between March 1st and May 20th, 2020. Secondary outcome included COVID19-related mortality. Several weighting techniques for data balancing, based and non-based on the propensity score, followed by Cox regressions were performed to estimate the association of colchicine prescription on both outcomes. Results: 9,379 patients entered in the study, with 406 and 9,002 exposed and unexposed follow-up periods, respectively. Generalized Boosted Models (GBM) and Empirical Balancing Calibration Weighting (EBCW) methods showed the best balance for COVID19-related hospital admissions. Colchicine prescription did not show a statistically significant association after covariable balancing (p-value = 0.195 and 0.059 for GBM and EBCW, respectively). Regarding mortality, the low number of events prevented a success variable balancing and analysis. Conclusion: Colchicine prescription does not play a significant protective or risk role in RMD patients regarding COVID19-related hospital admissions. Our observations could support the maintenance of colchicine prescription in those patients already being treated, as it is not associated with a worse prognosis.
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This research addresses the type of content and the presence of brands in publications made by thirteen Spanish-speaking influential children on YouTube and Instagram. The study period includes the six weeks in which children under 14 years of age were confined to their homes in Spain (between March 14 to April 26, 2020), a moment of important consumption and exposure to screens. Thus, YouTube viewing increased by 55%. We studied 304 posts employing content analysis. Contents linked to the pandemic are frequent, with scripted stories based on routines, recommendations, and healthy habits. Children show they are aware of the need to stay home. This exemplary behavior contrasts with the high presence of brands includedin the publications that these influencers make on social networks, on many occasions, without explicitly stating it and linked to confinement in a contextual way. Brands have also been contextually linked to confinement. This shows the need to face a critical attitude towards the content consumed by children, especially in times of increased consumption of devices and social networks, especially by minors, during this exceptional worldwide pandemic. © 2021 Pontificia Universidad Catolica de Chile. All rights reserved.