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Energy systems present a complex and dynamic interrelation between energy, environment, and society. Therefore, properly educating new professionals for the renewable energy sector is a challenging endeavor by itself. The COVID-19 pandemic has imposed an additional challenge on how to engage students in energy and environment education through distance learning. In this paper, we present the methodology applied at the Federal University of São Paulo (UNIFESP) for students of the discipline "Energy and Environment". The graduate student interns developed an integrated methodology of disseminating knowledge about renewable energy and environment for those students and society as a whole. A positive feedback over 95% was obtained from the enrolled students in the period of 2019-2020. It was also noticed a failure rate of 24% in 2020 in contrast to zero occurrences in 2019, when face-to-face activities were in place. Finally, we present a brief discussion on the primary challenges and lessons learned during the studied period. © 2021. The Authors. Published by International Solar Energy Society Selection and/or peer review under responsibility of Scientific Committee.
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Background: SARS-CoV-2 infection can lead to severe infammation and has been suggested to induce Psoriatic Arthritis (PsA) fares.1 However, the impact on disease activity and response to biological disease modifying anti-rheumatic drugs DMARDs (bDMARDs) remains unknown. Objectives: To evaluate the effect of SARS-CoV-2 infection on disease activity and bDMARDs responses in patients with PsA. Methods: We performed a retrospective analysis including all the patients with PsA, meeting the CASPAR criteria and under biologic therapy, followed in the Rheumatology department of a tertiary university hospital. Demographic and clinical data, including occurrence of SARS-CoV-2 infection, were collected from our national database (reuma.pt). Disease activity (CDAI, SDAI, DAS28 4v, BASDAI, ASDAS) and bDMARDs responses (EULAR, ASDAS, ASAS, ACR and PsARC responses) were evaluated before and after SARS-Cov-2 infection. Statistical analysis was performed with SPSS. Continuous variables were compared through paired samples t-test. Results: A total of 102 patients with PsA were included. Fifty-two were females (51%).The mean age was 53 ± 11.09 years and the median disease duration was 15 years [min 2, max 47]. Overall, 54 (53%) patients had predominant axial involvement, 26 (26%) peripheric and 36 (37%) enthesopathic. The most used bDMARD was etanercept (n=28, 27.5%) followed by adalimumab (n=22, 21.6%) and secukinumab (n=18, 17.6%). The prevalence of SARS-CoV-2 infection was 15.7% (n=16). Sixty-three per cent received the BNT162b2 (Pfzer/BioNtech) vaccine, 31% received mRNA-1273 (Moderna), 13% received AZD1222 (AstraZeneca) and 13% received AD26. COV2.S (Janssen/Johnson & Johnson). Sixty-three percent were infected before any vaccination, 13% after the frst dose and 25% after the second. The most common symptoms were anosmia (65%), dysgeusia (56%) and cough (56%). All patients fully recovered from the infection, with no need for hospitalization. Regardless of the score used, the difference between the mean disease activity after SARS-CoV-2 infection and that at baseline did not reach statistical significance. At baseline and after infection, mean (SD) disease activity parameters were, respectively: CDAI 8.6±5.7 vs 8.6±5.7, p=0.997;SDAI 9.3±6.6 vs 9.2±6.1, p=0,928;DAS 28 4v 2.9±1.2 vs 2.9 ±1.2, p= 0.818;BASDAI 3.6 ±2.6 vs 3.2±2.7, p=0.506;ASDAS 2.2±1.2 vs 2.2±1, p=0.721. The number of patients unresponsive to bDMARDs (according EULAR, ASDAS, ASAS, ACR and PsARC) before the infection wasn't different from post-infection. Conclusion: Our study suggests that SARS-CoV2 infection has no negative impact on PsA disease activity and bDMARD responses. However, more studies are still needed to better understand the long-term effects of SARS-CoV2 infection.
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Background: Infections are a known trigger for Rheumatoid Arthritis (RA) fares.1 It is still unclear whether SARS-Cov-2 infection affects RA disease activity and the clinical response to biological disease-modifying antirheumatic drugs (bDMARDs). Objectives: To evaluate the effect of SARS-Cov-2 infection on disease activity and bDMARD responses in patients with RA. Methods: A retrospective study was carried out in a cohort of RA patients treated with bDMARDs from a tertiary hospital centre. Demographic and clinical data, including occurrence of SARS-Cov-2 infection, were obtained through medical records. Disease activity (DAS28, DAS28-CRP, CDAI and SDAI) and ACR and EULAR bDMARD responses were evaluated at four time points: baseline (t1-last evaluation before Covid-19 pandemic), before (t2) and after (t3) SARS-Cov-2 infection and at the end of follow-up (t4-last appointment of 2021). In patients with no record of SARS-Cov-2 infection the middle evaluations were obtained from two random consecutive appointments during Covid-19 pandemic. Statistical analysis (signifcance at p<0.05) was performed using paired t-test, Wilcoxon and McNemar tests for paired samples and unpaired t-test, Mann-Whitney, Fisher and χ2 tests for independent samples according to the type of variable and the presence of normal distribution. Results: Of the 237 patients included, most of them was women [n = 195 (82.3%)], with a mean age of 59.6 ± 10.1 years old and a median [min, max] disease duration of 18 [2, 50] years. The majority presented rheumatoid factor (RF) and/or anti-citrullinated protein antibodies (ACPA) positivity [n = 204 (87.9%)] and radiographic erosions [n = 119 (72.6%)]. The prevalence of SARS-Cov-2 infection was 11.4% (n=27). Mean disease activity was lower after SARS-Cov-2 infection compared to the previous evaluation on all scores used;however, this difference was not statistically signifcant. Nevertheless, when compared to the mean disease activity at the end of follow-up, there were statistically signifcant differences in DAS28-CRP (t2 3.2±1.0 vs. t4 2.8±1.1, p=0.017) and CDAI (t2 11.1±8.1 vs. t4 8.7±6.2, p=0.05) scores. The relative number of patients with no ACR or EULAR bDMARD responses before SARS-Cov-2 infection wasn't different from post infection and at the end of follow-up. At baseline, the infected and uninfected groups were similar regarding gender, age, RF and/or ACPA positiv-ity, erosive disease, disease and biologic treatment durations, baseline disease activity and ACR and EULAR response. The variation in disease activity and the relative number of patients with worsening or improving EULAR and ACR bDMARD responses between t2 and t3 were not signifcantly different in the two groups, as well as between t2 and t4. The prevalence of patients who switched to another bDMARD was signifcantly higher in the group of patients who had Covid-19 [n=4 (14.8%) vs. 9 (4.3%), p=0.047]. The main reason for switching was the ineffectiveness of the therapy (n=11). Conclusion: No worsening of disease activity or ACR and EULAR bDMARD responses was found after SARS-Cov-2 infection in RA patients under bDMARD. However, the later can be explained by the small sample size. Indeed, these patients exhibited a higher rate of switch due to ineffectiveness of therapy, suggesting a negative impact of SARS-Cov2 infection on the disease course.
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Background: Some factors associated with severe COVID-19 outcomes have been identifed in patients with psoriasis (PsO) and infammatory/autoimmune rheumatic diseases, namely older age, male sex, comorbidity burden, higher disease activity, and certain medications such as rituximab. However, information about specifcities of patients with PsO, psoriatic arthritis (PsA) and axial spondyloarthritis (axSpA), including disease modifying anti-rheumatic drugs (DMARDs) specifcally licensed for these conditions, such as IL-17 inhibitors (IL-17i), IL-23/IL-12 + 23 inhibitors (IL-23/IL-12 + 23i), and apremilast, is lacking. Objectives: To determine characteristics associated with severe COVID-19 outcomes in people with PsO, PsA and axSpA. Methods: This study was a pooled analysis of data from two physician-reported registries: the Psoriasis Patient Registry for Outcomes, Therapy and Epidemiology of COVID-19 Infection (PsoProtect), comprising patients with PsO/PsA, and the COVID-19 Global Rheumatology Alliance (GRA) registry, comprising patients with PsA/axSpA. Data from the beginning of the pandemic up to 25 October, 2021 were included. An ordinal severity outcome was defned as: 1) not hospitalised, 2) hospitalised without death, and 3) death. A multivariable ordinal logistic regression model was constructed to assess the relationship between COVID-19 severity and demographic characteristics (age, sex, time period of infection), comorbidities (hypertension, other cardiovascular disease [CVD], chronic obstructive lung disease [COPD], asthma, other chronic lung disease, chronic kidney disease, cancer, smoking, obesity, diabetes mellitus [DM]), rheumatic/skin disease (PsO, PsA, axSpA), physician-reported disease activity, and medication exposure (methotrexate, lefunomide, sulfasalazine, TNFi, IL17i, IL-23/IL-12 + 23i, Janus kinase inhibitors (JAKi), apremilast, glucocorticoids [GC] and NSAIDs). Age-adjustment was performed employing four-knot restricted cubic splines. Country-adjustment was performed using random effects. Results: A total of 5008 individuals with PsO (n=921), PsA (n=2263) and axSpA (n=1824) were included. Mean age was 50 years (SD 13.5) and 51.8% were male. Hospitalisation (without death) was observed in 14.6% of cases and 1.8% died. In the multivariable model, the following variables were associated with severe COVID-19 outcomes: older age (Figure 1), male sex (OR 1.53, 95%CI 1.29-1.82), CVD (hypertension alone: 1.26, 1.02-1.56;other CVD alone: 1.89, 1.22-2.94;vs no hypertension and no other CVD), COPD or asthma (1.75, 1.32-2.32), other lung disease (2.56, 1.66-3.97), chronic kidney disease (2.32, 1.50-3.59), obesity and DM (obesity alone: 1.36, 1.07-1.71;DM alone: 1.85, 1.39-2.47;obesity and DM: 1.89, 1.34-2.67;vs no obesity and no DM), higher disease activity and GC intake (remission/low disease activity and GC intake: 1.96, 1.36-2.82;moderate/severe disease activity and no GC intake: 1.35, 1.05-1.72;moderate/severe disease activity and GC intake 2.30, 1.41-3.74;vs remission/low disease activity and no GC intake). Conversely, the following variables were associated with less severe COVID-19 outcomes: time period after 15 June 2020 (16 June 2020-31 December 2020: 0.42, 0.34-0.51;1 January 2021 onwards: 0.52, 0.41-0.67;vs time period until 15 June 2020), a diagnosis of PsO (without arthritis) (0.49, 0.37-0.65;vs PsA), and exposure to TNFi (0.58, 0.45-0.75;vs no DMARDs), IL17i (0.63, 0.45-0.88;vs no DMARDs), IL-23/IL-12 + 23i (0.68, 0.46-0.997;vs no DMARDs) and NSAIDs (0.77, 0.60-0.98;vs no NSAIDs). Conclusion: More severe COVID-19 outcomes in PsO, PsA and axSpA are largely driven by demographic factors (age, sex), comorbidities, and active disease. None of the DMARDs typically used in PsO, PsA and axSpA, were associated with severe COVID-19 outcomes, including IL-17i, IL-23/IL-12 + 23i, JAKi and apremilast.
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Background: SARS-Cov-2 infection had a major impact on patients with infam-matory rheumatic diseases. Spondyloarthritis (SpA) patients were one of the most affected groups of these patients. Objectives: To assess the impact of Covid19 in spondyloarthritis patients under biological disease modifying anti-rheumatic drugs (bDMARDs). Methods: A retrospective observational study was conducted using registry data of patients with SpA under bDMARD therapy, followed at a tertiary level hospital, that have been diagnosed with COVID19 from March 2019 to December 2021. At least one evaluation previous (t0) and two evaluations after SARS-CoV-2 infection (t1, t2) were included in our analysis. Sociodemographic, clinical, disease activity, therapeutic response, function and general health status data were collected. Statistical analysis (signifcance at p < 0.05) was performed using paired T-test, Wilcoxon test and McNemar tests for paired samples. Linear and logistic regression models were performed to assess direction and strength of association Results: Thirty-two patients with SpA under bDMARD had COVID19, mostly women (20, 62.5%), with a disease course time averaged 18.65 (± 9.69) years, mainly with axial involvement (19, 59.4%) and positive for HLA-B27 antigen (11, 64.7%). The majority were under TNF inhibitors (30, 93.75%), with golimumab being the most common (9, 28.1%), and with a median bDMARD persistence of 2.63 (5.09) years. Seven (21.9%) were under a cDMARD, 3 (9.4%) under NSAID and 18 (56.3%) under corticosteroids. Three (9.4%) were already vaccinated against SARS-CoV-2, 2 (66.6%) with the mRNA-1273 vaccine, presenting a medium time since inoculation of 240 (± 234.01) days. Arterial hypertension was the most common comorbidity (5, 15.6%) and one patient (3.1%) had a previous diagnosis of type 2 diabetes. Most were never-smokers (17, 53.1%) and never-drinkers (29, 90.6%). The average age at infection was 40.97 (± 6.15) years and the most common symptom was cough (22, 68.8%), followed by headache (20, 62.5%) and myalgia (19, 59.4%). Event tree analysis didn't show association with SpA subtype, education level, work status, tobacco or alcohol consumption. Only one patient needed hospital admission but without needing of oxygen, therapy, ventilator or ECMO. Only one patient had an overlaid bacterial infection and no thromboembolic complications were observed. Two patients needed specific SARS CoV-2 infection treatment, one with hydroxychloroquine and another with azithromycin. Twelve (37.5%) patients suspended bDMARD at the time of infection, with only 2 (6.3%) maintaining suspension at the time of the first post-infection visit. When comparing clinical variables, higher disease activity was seen at t1 only for BASDAI mean values, without statistical signifcance. Higher all domains VAS scores were also observed at t1, but not at t2, also without statistical signifcance;moreover, physical function didn't change signifcantly. No differences were observed according to gender or SpA subtype, nor with the use of cDMARDs, NSAIDs or corticosteroids. The only statistically signifcant difference concerned MASES score between t0 and t1 (1 ± 4 vs. 2 ± 6, p=0.04), but not between t0 and t2. Higher baseline tender joint score (p < 0.01) and higher baseline LEI (p=0.03) negatively correlated with MASES score variation. Several baseline variables correlated positively with MASES at t1, including female gender (p < 0.01), corticosteroid use (p = 0.04), BASDAI (p < 0.01), ASDAS-ESR (p < 0.01), ASDAS-CRP (p < 0.01), DAS28 (p < 0.01), SPARCC (p = 0.04), physician VAS (p = 0.03) and total spine VAS (p = 0.01). Working status varied signifcantly after SARS-Cov-2 infection (at least part-time-29, 90.6% vs. 22, 68.8%, p= 0.016). Conclusion: SpA patients on bDMARD had a mild course of SARS-CoV-2 infection, with slight changes in enthesitis score in the short term, the latter particularly in those with higher disease activity in the pre-infection period. Long-term effects on work status could represent confounding factors related to the e onomic constraints of the pandemic.