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Objectives: To evaluate the safety and immunogenicity of CoronaVac and ChAdOx1 vaccines against SARS-CoV-2 in patients with Rheumatoid Arthritis (RA). Method(s): These data are from the 'SAFER (Safety and Efficacy on COVID-19 Vaccine in Rheumatic Diseases)' study, a Brazilian multicentric longitudinal phase IV study to evaluate COVID-19 vaccine in immunomediated rheumatic diseases (IMRDs). Adverse events (AEs) in patients with RA were assessed after two doses of ChAdOx1 or CoronaVac. Stratification of postvaccination AEs was performed using a diary, filled out daily. The titers of neutralizing antibodies against the receptor-biding domain of SARS-CoV-2 (anti-RBD) were measured by chemilumine scence test after each dose of immunizers. Proportions between groups were compared using the Chi-square and Fisher's exact tests for categorical variables. Clinical Disease Activity Index (CDAI) before and after vaccination was assessed using the McNemar test. Result(s): A total of 188 patients with RA were included in the study, most of them were female. CoronaVac was used in 109 patients and ChAdOx1 in 79. Only mild AEs were observed. The more common AEs after the first dose were pain at injection site (46,7%), headache (39,4%), arthralgia (39,4%) and myalgia (30,5%), and ChAdOx1 had a higher frequency of pain at the injection site (66% vs 32 %, p alpha 0.001) arthralgia (62% vs 22%, p alpha 0.001) and myalgia (45% vs 20%, p alpha 0.001) compared to CoronaVac. The more common AEs after the second dose were pain at the injection site (37%), arthralgia (31%), myalgia (23%) and headache (21%). Arthralgia (41,42 % vs 25 %, p = 0.02) and pain at injection site (51,43% vs 27%, p = 0.001) were more common with ChAdOx1. No patients had a flare after vaccination. The titers of anti-RBDafter two doses of ChAdOx1 were higher compared to two doses of CoronaVac (6,03 BAU/mL vs 4,67 BAU/mL, p alpha 0,001). Conclusion(s): The frequency of local adverse effects, particularly pain at injection site, was high. AEs were more frequent with ChAdOx1, especially after the first dose. The use of the immunizers dis not change the degree of inflammatory activity of the disease. In patients with RA, ChAdOx1 was more immunogenic than CoronaVac. .
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Objectives: Patients with immune-mediated rheumatic diseases (IMRDs) develop more severe outcomes of Coronavirus disease 2019 (COVID-19). Recent studies have contributed to understand the safety and efficacy of COVID-19 vaccines in IMRDs, suggesting that different diseases and therapies may interfere on immunization efficacy. In this study we analyze the immunogenicity of COVID-19 vaccines in patients with Systemic Vasculitides (VASC), the rate of COVID-19 and the frequency of disease relapse following immunization. Method(s): We included patients with VASC (n = 73), a subgroup of the SAFER study (Safety and Efficacy on COVID-19 Vaccine in Rheumatic Disease), a longitudinal, multicenter, Brazilian cohort.We analyzed the geometric means of IgG antibody against receptor-biding domain of protein spike of SARS-CoV-2 (anti-RBD) after two shots of CoronaVac (Inactivated vaccine), ChadOx-1 (AstraZeneca) or BNT162b2 (Pfizer-BioNTech). IgG anti-RBD was measured by chemiluminescence test. We assessed new-onset COVID-19 episodes, adverse events (AE) and disease activity for each VASC. Result(s): The sample included Behcet's disease (BD) (n = 41), Takayasu arteritis (TAK) (n = 15), antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) (n = 14), polyarteritis nodosa (n = 7) and other small vessel VASC(n = 6). The majority of patients were female (69%) without comorbidities (49%) and a median age of 37 years. The most common medication was conventional synthetic disease-modifying anti-rheumatic drugs, followed by biologic drugs. No patient received rituximab at baseline. Most patients received CoronaVac (n = 25) or ChadOx-1 (n = 36), while four received BNT162b2. Baseline IgG-RBD means were 1.34 BAU/mL. They increased to 3.89 and 5.29 BAU/mL after the 1st and 2nd vaccine dose, respectively. ChadOx-1 had higher antibody titers than CoronaVac (p = 0.002). There were no differences between different VASC. There were 3 cases of COVID-19 after immunization with CoronaVac. BD patients had a tendency for more cutaneous-articular activity following ChadOx-1. There were no severe relapses and no serious adverse events. Conclusion(s): Our results show the safety of different SARS-CoV-2 vaccines in VASC population. A progressive increase of IgG-RBD antibodies was observed after each dose. ChadOx-1 led to higher IgG-RBDgeometricmeans compared toCoronaVac. Finally, even though ChadOx-1 presented a tendency of triggering mild disease activity, there were no significant disease activity following vaccination in VASC patients. .
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Objectives: Systemic lupus erythematosus (SLE) is an autoimmune disease which presents infections as one of the most frequent complications, including more severe outcomes of Coronavirus disease 2019 (COVID-19). Immunization of these patients has been strongly recommended, however, data on safety are still scarce. In this study we evaluate the safety after vaccination against SARS-CoV2 in patients with SLE. Method(s): Safety and Efficacy on COVID-19 Vaccine in Rheumatic Disease - the 'SAFER' study, is a longitudinal Brazilian multicenter phase IV study. In this study patients with SLE (according to the 2019 ACR/EULAR criteria), older than 18 years who received vaccination against SARS-CoV-2 CoronaVac (Inactivated SARS-CoV-2 Vaccine), ChadOx-1 (AstraZeneca) and BNT162b2 (Pfizer-BioNTech) were included. The evaluation of adverse events (AEs) was done by telephone contact, symptom diaries and a face-to-face visit on the 28th day after each dose. Patients were followed up also by disease activity, assessed using SLEDAI-2 K score. Result(s): A total of 367 individuals with SLE were included, 207 received CoronaVac, 128 received ChadOx-1 and 32 received BNT162b2. Ninety percent of the subjects were female with a mean age of 37 years. About 50% (182) of patients were using oral glucocorticoids and azathioprine was the most frequent immunosuppressive therapy. Regarding disease activity parameters, 38%(140) of patients had zero SLEDAI-2Kat baseline and 41%(147) had zero SLEDAI-2 K 28 days after the 2nd dose. After the first and second dose the most frequent AEs were pain at injection site (58%/44%), headache (48%/33%) and pruritus (42%/37%). Comparing the three vaccines, after the first dose, local symptoms, myalgia, and fever were less frequent in patients who received CoronaVac (p alpha 0.001) as well as headache, tiredness (p = 0.001) and arthralgia (p = 0.003). After the second dose, only local symptoms such as pain at the application site and thickening of the skin around the application site were less frequent in the CoronaVac group (p alpha 0.05). Headache, tiredness, musculoskeletal symptoms and fever were more common in patients receiving AstraZeneca. No serious adverse events were reported regardless of the vaccination schedule used. Conclusion(s): This study suggests that vaccines against SARS-COV-2 are safe in SLE patients. Neither severe AEs were reported nor worsening of disease activity were reported. Comparing the different vaccines, CoronaVac had fewer adverse events.
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Objectives: The use of glucocorticoids (GC) has been associated with increased risk of hospitalization for coronavirus infection and reduced immunogenicity of SARS-CoV-2 vaccines in immune-mediated diseases (IMD) patients. However, there is still controversy of which dose of GC is correlated with impaired vaccine response on each of the diverse COVID-19 vaccines available, as well as the possible influence of other concurrent immunosuppressants. This study aimed at evaluating the effect of GC on serological response after two doses of BNT162b2 (Pfizer/BioNTech), CoronaVac (inactivated SARS-CoV-2 Vaccine) and ChadOx1 (AstraZeneca) and after the booster dose in patients with IMD. Method(s): The data were extracted from a multicenter longitudinal observational Brazilian cohort (SAFER: Safety and Efficacy on COVID19 Vaccine in Rheumatic Disease). Patients >18 years of age with IMD were evaluated after 2 doses of the same vaccine against COVID-19 and after a booster vaccine, applied according to Brazilian National Immunization Program. All patients underwent clinical examination and collected blood samples for immunogenicity tests. Serological response was evaluated by Anti-RBD titers (IgG) at baseline and 4 weeks after each vaccine dose. Result(s): Among the 1009 patients evaluated, 301 were using GC (196/401 SLE, 52/199 RA and 27/74 vasculitis). Patients using GC were younger (38.2 vs 40,8 years, p = 0,002), had higherBMI (27,6 vs 26,4 p = 0,008), higher prevalence of kidney disease (3,3% vs 0,5%, p = 0,001) and of thrombosis (11,6% vs 5,9%, p = 0,002) than non-users. Regarding the type of vaccine, most of the GC users received CoronaVac (61.7%), while only 31.9%of non-users received this vaccine (p alpha 0.001). Although there were similar rates of pre-vaccination infections among them, patients with GC tended to have a higher incidence of confirmed COVID-19 infection after the 2nd dose of the vaccine compared to non-users (4.5% vs 2.0% p = 0.054). The antibody titers after the 1st dose of COVID-19 vaccines were similar between groups, but there was a worse response in the GC group after the 2nd dose (p = 0.039). However, this difference was not statistically significant after the 3rd dose (Figure). Conclusion(s): GC use may compromise vaccine-induced immunogenicity after a 2-dose regimen;however, this effect does not remain significant after the booster dose. Multivariate analysis is still pending to assess the potential difference in the impact of GC on the immune response depending on GC dose, type of vaccine and associated drugs.
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Objective To evaluate the incidence of COVID-19 and its main outcomes in rheumatic disease (RD) patients on hydroxychloroquine (HCQ) compared to household cohabitants (HC).Methods This is a 24-week nationwide prospective multi-centre cohort with a control group without RD and not using HCQ. All participants were monitored through scheduled phone interviews performed by health professionals. Details regarding COVID-19 symptoms, and epidemiological, clinical, and demographic data were recorded on a specific web-based platform. COVID-19 was defined according to the Brazilian Ministry of Health criteria and classified as mild, moderate or severe.Results A total of 9,585 participants, 5,164 (53.9%) RD patients on HCQ and 4,421 (46.1%) HC were enrolled from March 29th, 2020 to September 30th, 2020, according to the eligibility criteria. COVID-19 confirmed cases were higher in RD patients than in cohabitants [728 (14.1%) vs. 427 (9.7%), p<0.001] in a 24-week follow-up. However, there was no significant difference regarding outcomes related to moderate/ severe COVID-19 (7.1% and 7.3%, respectively, p=0.896). After multiple adjustments, risk factors associated with hospitalisation were age over 65 (HR=4.5;95%CI 1.35-15.04, p=0.014) and cardiopathy (HR=2.57;95%CI 1.12-5.91, p=0.026). The final survival analysis demonstrated the probability of dying in 180 days after a COVID-19 diagnosis was significantly higher in patients over 65 years (HR=20.8;95%CI 4.5-96.1) and with 2 or more comorbidities (HR=10.8;95%CI 1.1-107.9 and HR=24.8;95%CI 2.5-249.3, p=0.006, respectively).Conclusion Although RD patients have had a higher COVID-19 incidence than individuals from the same epidemiological background, the COVID-19 severity was related to traditional risk factors, particularly multiple comorbidities and age, and not to underlying RD and HCQ.
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This study analyzes the context of pregnancy, prenatal care and birth of children with Congenital Zika Syndrome (CZS). A single case exploratory study was conducted with a mother of a child diagnosed with CZS in Pernambuco, Brazil. Data were collected by an in-depth interview and content was categorized into four themes: discovery of pregnancy;conditions of prenatal and childbirth care;conditions of diagnosis and childcare;and feelings involved in the pregnancy discovery and syndrome diagnosis. This case study highlights failures in reproductive planning and in prenatal and childbirth care;unpreparedness of health professionals;and significant changes in the family's routine, which imply difficult choices under a deficient public health care. CZS epidemic uncovered problems that go beyond mosquito vector control. The current scenario highlights the vulnerabilities of these families, intensified by the emergence and consequences of COVID-19, which has further exposed the weaknesses of women's comprehensive health care and the need to maintain an articulated and resolute network in health care and surveillance. Copyright © 2022, Universidade de Sao Paulo. Museu de Zoologia. All rights reserved.
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The SARS-CoV-2 pandemic has demonstrated the need for genomic epidemiology surveillance. To date, various methodologies have been applied, including metagenomic approaches and amplicon-based sequencing associated with high-throughput sequencing platforms. We adapted some details in amplicon-based sequencing using a SARS-CoV-2 community panel (Illumina AmpliSeq), with additional modifications for balanced and high-quality sequencing using the MiSeq platform. The modified protocol was used to detect circulating SARS-CoV-2 variants in Goiás state, Brazil. Initially, RNA samples were obtained from swab samples from 15 patients from the state of Goiás, Brazil, in November/2020 and February/2021 to validate protocol steps. The libraries were prepared following AmpliSeq for Illumina workflow with modifications;subsequently, we analyzed 305 positive samples collected from the state of Goiás from December 2020 to July 2021. For protocol improvement, we removed the need to treat samples with DNAse and demonstrated the importance of quantification by qPCR before and after library dilution. No fragmentation pattern was observed in the samples analyzed with Bioanalyzer. The libraries returned sequencing results that were used for genome assembly and variant detection. We were able to assemble SARS-CoV-2 genomes from 318 samples, which were used to identify 13 variants of coronavirus circulating in Goiás throughout those months. Variants of concern, such as Alpha (B.1.1.7), Gamma (P.1) and Delta (B.1.617.2) were detected;the latter was detected at first in Goiás in April 2021. The modifications in the workflow we developed were successfully applied to detect SARS-CoV-2 variants, resulting in high coverage genome assembly, and they can be used to increase the number of genome sequences and aid in epidemiological surveillance in Brazil.
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With the COVID-19 pandemic, governments have used applications to help citizens to be informed about the disease. Some applications use chatbots, which despite the advances, still represent challenges for researchers and designers in the domain of human-computer interaction (HCI). Therefore, this paper aims to evaluate three Brazilian government chatbots focused on COVID-19, considering two perspectives: communication (which involves communicability and language) and personality. For this, we used the Semiotic Inspection Method (SIM) to evaluate the chatbots' communicability and best practice guidelines for evaluating the chatbots' language and personality. As a result, we show that chatbots make little use of communicability strategies. In addition, they do not convey personality traits. We also discussed the relationship between personality and the designer's self-expression, making room for potential future work in the area. The research contributes to the extent that the study of COVID-19 chatbots in the current pandemic scenario is important and presents a methodology for assessing the language and personality of chatbots. © 2021 ACM.
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Background: The COVID-19 pandemic remains a public health emergency of global concern, with higher mortality rates in cancer patients as compared to the general population. However, early mortality of COVID19 in cancer patients has not been compared to historical real-world data from oncology population in pre-pandemic times. Methods: Longitudinal multicenter cohort study of patients with cancer and confirmed COVID-19 from Oncoclínicas Group in Brazil from March to December 2020. The primary endpoint was 30-day mortality after isolation of the SARS-CoV-2 by RT-PCR. As historical control, we selected patients from Oncoclínicas Data Lake treated before December 2019 and propensity score-matched to COVID-19 cases (3:1) based on the following clinical characteristics: age, gender, tumor type, disease setting (curative or palliative), time from diagnosis of cancer (or metastatic disease) to COVID-19 infection. Results: In total, 533 cancer patients with COVID-19 were prospectively registered in the database, with median age 60 years, 67% females, most frequent tumor types breast (34%), hematological (16%), gastrointestinal (15%), genitourinary (12%) and respiratory tract malignancies (10%). Most patients were on active systemic therapy or radiotherapy (84%), largely for advanced or metastatic disease (55%). In the overall population, early death rate was 15%, which was numerically higher than the Brazilian general population with COVID-19 diagnosis in 2020 (2.5%). We were able to match 442 cancer patients with COVID-19 to 1,187 controls with cancer from pre-pandemic times. The 30-day mortality rate was 12.4% in COVID-19 cases as compared to 5.4% in pre-pandemic controls with cancer (Odds Ratio 2.49, 95%CI 1.67 - 3.70;P value < 0.01, Power 97.5%). COVID-19 cancer patients had significantly higher death events than historical controls (Hazard Ratio 2.18, 95%CI 1.52 - 3.12;P value < 0.01, Power 99.7%), particularly from 20 to 30 days after diagnosis of the infection. Conclusions: Cancer patients with COVID-19 have an excess mortality 30 days after the infection when compared to matched cancer population from pre-pandemic times and the general population with COVID-19, reinforcing the need for priority vaccination in public health strategies. Legal entity responsible for the study: Oncoclínicas Group. Funding: Amgen. Disclosure: All authors have declared no conflicts of interest.
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Background: COVID-19 is a challenge for clinical decision-making in cancer patients and the allocation of healthcare resources. An accurate prognosis prediction to effectively triage patients is needed, especially in the community oncology practice. Methods:Nationwide cohort from Oncoclínicas Brazil was used to validate previously developed multivariable logistic regression (mLR) model (Ferrari et al, JCO GO 2021) and to construct a machine learning Random Forest (RF) algorithm as predictor of 30-day mortality after SARS-CoV-2 detection by RT-PCR in cancer patients diagnosed in an outpatient setting. To find the most important baseline clinical determinants of early COVID19-related death via Gini index, a RF with 100,000 trees was trained in 75% of the dataset, and the performance was assessed in the remaining 25%. We then compared the accuracy of different models in terms of sensitivity, specificity and area under the receiver operating characteristics curves (AUC). Results:From March to December 2020, 533 patients with COVID-19 were prospectively registered in the database. Median age was 60 years (19-93) and 67% were female. Most frequent cancers were breast in 34%, hematological in 16%, and gastrointestinal in 15%. Comorbidities were common (52%), as was current/former smoking history (17%). Most patients were on active systemic therapy or radiotherapy (84%) in the advanced or metastatic disease setting (55%). The overall mortality rate was 15% (CI95% 12%-18%). We validated the original mLR model trained in the first 198 patients: management in a noncurative setting (odds ratio [OR] 3.7), age ≥ 60 years (OR 2.3), and current/former smoking (OR 1.9) were significant predictors of death in the expanded cohort. Presence of comorbidities (OR 1.9) also defined poor outcome in the updated mLR model, which yielded low sensitivity (74%), specificity (68%) and AUC (0.78). With RF modeling, the most significant predictors of 30-day death after COVID-19 (in decreasing order) were older age, treatment of advanced or metastatic disease, tumor type (respiratory tract, brain and unknown primary cancers had higher mortality), COVID-related symptom burden at baseline evaluation and treatment regimen (immunotherapy combinations had higher mortality). The RF model demonstrated high sensitivity (89%), specificity (88%) and AUC (0.96). Conclusions:The results highlight the possibility that machine learning algorithms are able to predict early mortality after COVID-19 in cancer patients with high accuracy. The proposed prediction model may be helpful in the prompt identification of high-risk patients based on clinical features alone, without having to wait for the results of additional tests such as laboratory or radiologic studies. It can also help prioritize medical resources and redefine vaccination strategies. A web-based mortality risk calculator will be created for clinical decision support.
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OBJECTIVES: To evaluate the incidence of COVID-19 and its main outcomes in rheumatic disease (RD) patients on hydroxychloroquine (HCQ) compared to household cohabitants (HC). METHODS: This is a 24-week nationwide prospective multi-centre cohort with a control group without RD and not using HCQ. All participants were monitored through scheduled phone interviews performed by health professionals. Details regarding COVID-19 symptoms, and epidemiological, clinical, and demographic data were recorded on a specific web-based platform. COVID-19 was defined according to the Brazilian Ministry of Health criteria and classified as mild, moderate or severe. RESULTS: A total of 9,585 participants, 5,164 (53.9%) RD patients on HCQ and 4,421 (46.1%) HC were enrolled from March 29th, 2020 to September 30th, 2020, according to the eligibility criteria. COVID-19 confirmed cases were higher in RD patients than in cohabitants [728 (14.1%) vs. 427 (9.7%), p<0.001] in a 24-week follow-up. However, there was no significant difference regarding outcomes related to moderate/ severe COVID-19 (7.1% and 7.3%, respectively, p=0.896). After multiple adjustments, risk factors associated with hospitalisation were age over 65 (HR=4.5;95%CI 1.35-15.04, p=0.014) and cardiopathy (HR=2.57;95%CI 1.12-5.91, p=0.026). The final survival analysis demonstrated the probability of dying in 180 days after a COVID-19 diagnosis was significantly higher in patients over 65 years (HR=20.8;95%CI 4.5-96.1) and with 2 or more comorbidities (HR=10.8;95%CI 1.1-107.9 and HR=24.8;95%CI 2.5-249.3, p=0.006, respectively). CONCLUSIONS: Although RD patients have had a higher COVID-19 incidence than individuals from the same epidemiological background, the COVID-19 severity was related to traditional risk factors, particularly multiple comorbidities and age, and not to underlying RD and HCQ.
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This article discusses the interruption of Teaching and learning activities at Brazilian federal universities at the time the Covid-19 pandemic broke out, as well as the extent to which the lack of access to the internet would prohibit remote resumption of those activities. Political-educational strategies for tackling the pandemic that are in line with WHO recommendations are addressed. Then the universities’ immediate responses to the necessary suspension of face-to-face activities are discussed. Finally, official data are reported measuring the size of the problem of internet access among higher education students. Given that 98% are connected, there is an urgent need to enable internet and digital literacy for 2% without access. However, there are no consistent justifications for prolonging the interruption of Teaching and learning activities. Emergency remote Education emerges as an immediate path in the midst of the pandemic, but it is blended learning methodologies that tend to consolidate in the post-pandemic world – which, sooner or later, will require new attitudes and strategies from Brazilian federal universities. © 2021. All Rights Reserved.