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1.
J Bras Pneumol ; 49(3): e20230056, 2023.
Article in English, Portuguese | MEDLINE | ID: covidwho-20235727

ABSTRACT

OBJECTIVE: COVID-19 has been associated with a significant burden to those who survive the acute phase. We aimed to describe the quality of life and symptoms of anxiety, depression, and posttraumatic stress disorder (PTSD) at 90 days after hospital discharge of COVID-19 patients. METHODS: Patients with COVID-19 admitted to a private hospital in the city of São Paulo, Brazil, between April of 2020 and April of 2021 were interviewed by telephone at 30 and 90 days after discharge to assess the quality of life and symptoms of depression, anxiety, and PTSD. RESULTS: A total of 2,138 patients were included. The mean age was 58.6 ± 15.8 years, and the median length of hospital stay was 9.0 (5.0-15.8) days. Between the two time points, depression increased from 3.1% to 7.2% (p < 0.001), anxiety increased from 3.2% to 6.2% (p < 0.001), and PTSD increased from 2.3% to 5.0% (p < 0.001). At least one physical symptom related to COVID-19 diagnosis persisted in 32% of patients at day 90. CONCLUSIONS: Persistence of physical symptoms was high even at 90 days after discharge. Although the prevalence of symptoms of anxiety, depression, and PTSD was low, these symptoms persisted for three months, with a significant increase between the time points. This finding indicates the need to identify at-risk patients so that they can be given an appropriate referral at discharge.


Subject(s)
COVID-19 , Humans , Adult , Middle Aged , Aged , Cohort Studies , COVID-19/epidemiology , Quality of Life , Brazil/epidemiology , COVID-19 Testing , Anxiety/epidemiology , Anxiety/etiology , Depression/epidemiology
2.
Rev Inst Med Trop Sao Paulo ; 64: e63, 2022.
Article in English | MEDLINE | ID: covidwho-2109458

ABSTRACT

COVID-19 disease is spread worldwide and diagnostic techniques have been studied in order to contain the pandemic. Immunochromatographic (IC) assays are feasible and a low-cost alternative especially in low and middle-income countries, which lack structure to perform certain diagnostic techniques. Here we evaluate the sensitivity and specificity of eleven different IC tests in 145 serum samples from confirmed cases of COVID-19 using RT-PCR and 100 negative serum samples from blood donors collected in February 2019. We also evaluated the cross-reactivity with dengue using 20 serum samples from patients with confirmed diagnosis for dengue collected in early 2019 through four different tests. We found high sensitivity (92%), specificity (100%) and an almost perfect agreement (Kappa 0.92) of IC assay, especially when we evaluated IgG and IgM combined after 10 days from the onset of symptoms with RT-PCR. However, we detected cross-reactivity between dengue and COVID-19 mainly with IgM antibodies (5 to 20% of cross-reaction) and demonstrated the need for better studies about diagnostic techniques for these diseases.


Subject(s)
COVID-19 , Dengue , Antibodies, Viral , COVID-19/diagnosis , Dengue/diagnosis , Humans , Immunoassay/methods , Immunoglobulin G , Immunoglobulin M , SARS-CoV-2 , Sensitivity and Specificity
3.
BMC Med Inform Decis Mak ; 22(1): 246, 2022 09 21.
Article in English | MEDLINE | ID: covidwho-2038727

ABSTRACT

BACKGROUND: Optimal COVID-19 management is still undefined. In this complicated scenario, the construction of a computational model capable of extracting information from electronic medical records, correlating signs, symptoms and medical prescriptions, could improve patient management/prognosis. METHODS: The aim of this study is to investigate the correlation between drug prescriptions and outcome in patients with COVID-19. We extracted data from 3674 medical records of hospitalized patients: drug prescriptions, outcome, and demographics. The outcome evaluated was hospital outcome. We applied correlation analysis using a Logistic Regression algorithm for machine learning with Lasso and Matthews correlation coefficient. RESULTS: We found correlations between drugs and patient outcomes (death/discharged alive). Anticoagulants, used very frequently during all phases of the disease, were associated with good prognosis only after the first week of symptoms. Antibiotics very frequently prescribed, especially early, were not correlated with outcome, suggesting that bacterial infections may not be important in determining prognosis. There were no differences between age groups. CONCLUSIONS: In conclusion, we achieved an important result in the area of Artificial Intelligence, as we were able to establish a correlation between concrete variables in a real and extremely complex environment of clinical data from COVID-19. Our results are an initial and promising contribution in decision-making and real-time environments to support resource management and forecasting prognosis of patients with COVID-19.


Subject(s)
COVID-19 Drug Treatment , Anti-Bacterial Agents , Anticoagulants , Artificial Intelligence , Drug Prescriptions , Hospitalization , Humans , Prognosis , Retrospective Studies
4.
BMC Med Inform Decis Mak ; 22(1): 187, 2022 07 17.
Article in English | MEDLINE | ID: covidwho-1938312

ABSTRACT

BACKGROUND: COVID-19 caused more than 622 thousand deaths in Brazil. The infection can be asymptomatic and cause mild symptoms, but it also can evolve into a severe disease and lead to death. It is difficult to predict which patients will develop severe disease. There are, in the literature, machine learning models capable of assisting diagnose and predicting outcomes for several diseases, but usually these models require laboratory tests and/or imaging. METHODS: We conducted a observational cohort study that evaluated vital signs and measurements from patients who were admitted to Hospital das Clínicas (São Paulo, Brazil) between March 2020 and October 2021 due to COVID-19. The data was then represented as univariate and multivariate time series, that were used to train and test machine learning models capable of predicting a patient's outcome. RESULTS: Time series-based machine learning models are capable of predicting a COVID-19 patient's outcome with up to 96% general accuracy and 81% accuracy considering only the first hospitalization day. The models can reach up to 99% sensitivity (discharge prediction) and up to 91% specificity (death prediction). CONCLUSIONS: Results indicate that time series-based machine learning models combined with easily obtainable data can predict COVID-19 outcomes and support clinical decisions. With further research, these models can potentially help doctors diagnose other diseases.


Subject(s)
COVID-19 , Brazil/epidemiology , COVID-19/epidemiology , Electronic Health Records , Hospitalization , Humans , Retrospective Studies , Time Factors
5.
Rev Bras Ter Intensiva ; 34(1): 1-12, 2022.
Article in Portuguese, English | MEDLINE | ID: covidwho-1893271

ABSTRACT

OBJECTIVE: Several therapies are being used or proposed for COVID-19, and many lack appropriate evaluations of their effectiveness and safety. The purpose of this document is to develop recommendations to support decisions regarding the pharmacological treatment of patients hospitalized with COVID-19 in Brazil. METHODS: A group of 27 experts, including representatives of the Ministry of Health and methodologists, created this guideline. The method used for the rapid development of guidelines was based on the adoption and/or adaptation of existing international guidelines (GRADE ADOLOPMENT) and supported by the e-COVID-19 RecMap platform. The quality of the evidence and the preparation of the recommendations followed the GRADE method. RESULTS: Sixteen recommendations were generated. They include strong recommendations for the use of corticosteroids in patients using supplemental oxygen, the use of anticoagulants at prophylactic doses to prevent thromboembolism and the nonuse of antibiotics in patients without suspected bacterial infection. It was not possible to make a recommendation regarding the use of tocilizumab in patients hospitalized with COVID-19 using oxygen due to uncertainties regarding the availability of and access to the drug. Strong recommendations against the use of hydroxychloroquine, convalescent plasma, colchicine, lopinavir + ritonavir and antibiotics in patients without suspected bacterial infection and also conditional recommendations against the use of casirivimab + imdevimab, ivermectin and rendesivir were made. CONCLUSION: To date, few therapies have proven effective in the treatment of hospitalized patients with COVID-19, and only corticosteroids and prophylaxis for thromboembolism are recommended. Several drugs were considered ineffective and should not be used to provide the best treatment according to the principles of evidence-based medicine and promote economical resource use.


OBJETIVOS: Há diversas terapias sendo utilizadas ou propostas para a COVID-19, muitas carecendo de apropriada avaliação de efetividade e segurança. O propósito deste documento é elaborar recomendações para subsidiar decisões sobre o tratamento farmacológico de pacientes hospitalizados com COVID-19 no Brasil. MÉTODOS: Um grupo de 27 membros, formado por especialistas, representantes do Ministério da Saúde e metodologistas, integra essa diretriz. Foi utilizado o método de elaboração de diretrizes rápidas, tomando por base a adoção e/ou a adaptação de recomendações a partir de diretrizes internacionais existentes (GRADE ADOLOPMENT), apoiadas pela plataforma e-COVID-19 RecMap. A qualidade das evidências e a elaboração das recomendações seguiram o método GRADE. RESULTADOS: Foram geradas 16 recomendações. Entre elas, estão recomendações fortes para o uso de corticosteroides em pacientes em uso de oxigênio suplementar, para o uso de anticoagulantes em doses de profilaxia para tromboembolismo e para não uso de antibacterianos nos pacientes sem suspeita de infecção bacteriana. Não foi possível fazer uma recomendação quanto à utilização do tocilizumabe em pacientes hospitalizados com COVID-19 em uso de oxigênio, pelas incertezas na disponibilidade e de acesso ao medicamento. Foi feita recomendação para não usar azitromicina, casirivimabe + imdevimabe, cloroquina, colchicina, hidroxicloroquina, ivermectina, lopinavir/ ritonavir, plasma convalescente e rendesivir. CONCLUSÃO: Até o momento, poucas terapias se provaram efetivas no tratamento do paciente hospitalizado com COVID-19, sendo recomendados apenas corticosteroides e profilaxia para tromboembolismo. Diversos medicamentos foram considerados ineficazes, devendo ser descartados, de forma a oferecer o melhor tratamento pelos princípios da medicina baseada em evidências e promover economia de recursos não eficazes.


Subject(s)
COVID-19 Drug Treatment , COVID-19 , Thromboembolism , Adrenal Cortex Hormones/therapeutic use , Anti-Bacterial Agents , Antibodies, Monoclonal, Humanized , Brazil , COVID-19/therapy , Humans , Immunization, Passive , Oxygen , COVID-19 Serotherapy
6.
Clinics (Sao Paulo) ; 76: e3299, 2021.
Article in English | MEDLINE | ID: covidwho-1478393

ABSTRACT

OBJECTIVE: This study aimed to evaluate the occurrence of coronavirus disease 2019 (COVID-19) in hemodialysis facilities and the occurrence of and risk factors for clustering of COVID-19 cases. METHODS: We conducted a cross-sectional online survey between March and July 2020, in all dialysis facilities in São Paulo state, using Google Forms. The online questionnaire contained questions addressing specific components of infection prevention and control practices and the number of cases during the COVID-19 pandemic. RESULTS: A total of 1,093 (5%) COVID-19 cases were reported among 20,984 patients; approximately 56% of the facilities had ≥1 cluster. Most facilities implemented various measures (such as allocation of dedicated COVID-19 areas/shifts, symptom screening, environmental disinfection, and maintenance of adequate ventilation) to prevent the transmission of severe acute respiratory syndrome coronavirus 2. Clustering of COVID-19 cases was suspected in only 7% of dialysis facilities. The only variable associated with this event was the performance of aerosol-generating procedures (odds ratio: 4.74; 95% confidence interval: 1.75-12.86). CONCLUSION: Attention should be paid to avoiding the performance of aerosol-generating procedures in dialysis facilities and monitoring the clustering of cases.


Subject(s)
COVID-19 , Pandemics , Brazil/epidemiology , Cross-Sectional Studies , Humans , Infection Control , Renal Dialysis , SARS-CoV-2
8.
Am J Infect Control ; 49(9): 1197-1199, 2021 09.
Article in English | MEDLINE | ID: covidwho-1152222

ABSTRACT

We evaluated the seroprevalence of SARS-CoV-2 and risk factors among 1,996 oligo/asymptomatic health care workers. The seroprevalence was 5.5% and risk factors associated with being infected with SARS-CoV-2 was professional category of cleaning (adj odds ratio 2.22, 95% confidence interval: 1.12-4.44, P: .023) and male gender (adj odds ratio: 1.54, 95% confidence interval: 1.03-2.32, P: .035).Working at dedicated COVID-19 units (high-risk group) was not an independent risk factor for seropositivity.


Subject(s)
COVID-19 , SARS-CoV-2 , Health Personnel , Humans , Male , Risk Factors , Seroepidemiologic Studies
9.
Arq. neuropsiquiatr ; 78(7):440-449, 2020.
Article in English | LILACS (Americas) | ID: grc-742549

ABSTRACT

ABSTRACT Introduction: Although the 2019 severe acute respiratory syndrome coronavirus 2 infection (SARS-CoV-2, COVID-19) pandemic poses new challenges to the healthcare system to provide support for thousands of patients, there is special concern about common medical emergencies, such as stroke, that will continue to occur and will require adequate treatment. The allocation of both material and human resources to fight the pandemic cannot overshadow the care for acute stroke, a time-sensitive emergency that with an inefficient treatment will further increase mortality and long-term disability. Objective: This paper summarizes the recommendations from the Scientific Department on Cerebrovascular Diseases of the Brazilian Academy of Neurology, the Brazilian Society of Cerebrovascular Diseases and the Brazilian Society of Neuroradiology for management of acute stroke and urgent neuro-interventional procedures during the COVID-19 pandemic, including proper use of screening tools, personal protective equipment (for patients and health professionals), and patient allocation. RESUMO Introdução: A pandemia causada pelo novo coronavírus da síndrome respiratória aguda grave 2 (SARS-CoV-2, COVID-19) apresenta novos e importantes desafios à gestão de saúde no Brasil. Além da difícil missão de prestar atendimento aos milhares de pacientes infectados pelo COVID-19, os sistemas de saúde têm que manter a assistência às emergências médicas comuns em períodos sem pandemia, tais como o acidente vascular cerebral (AVC), que continuam ocorrendo e requerem tratamento com presteza e eficiência. A alocação de recursos materiais e humanos para o enfrentamento à pandemia não pode comprometer o atendimento ao AVC agudo, uma emergência cujo tratamento é tempo-dependente e se não realizado implica em importante impacto na mortalidade e incapacitação a longo prazo. Objetivo: Este trabalho resume as recomendações do Departamento Científico de Doenças Cerebrovasculares da Academia Brasileira de Neurologia, da Sociedade Brasileira de Doenças Cerebrovasculares e da Sociedade Brasileira de Neurorradiologia para o tratamento do AVC agudo e para a realização de procedimentos de neurointervenção urgentes durante a pandemia de COVID-19, incluindo o uso adequado de ferramentas de triagem e equipamentos de proteção pessoal (para pacientes e profissionais de saúde), além da alocação apropriada de pacientes.

10.
Arq Neuropsiquiatr ; 78(7): 440-449, 2020 07.
Article in English | MEDLINE | ID: covidwho-711473

ABSTRACT

INTRODUCTION: Although the 2019 severe acute respiratory syndrome coronavirus 2 infection (SARS-CoV-2, COVID-19) pandemic poses new challenges to the healthcare system to provide support for thousands of patients, there is special concern about common medical emergencies, such as stroke, that will continue to occur and will require adequate treatment. The allocation of both material and human resources to fight the pandemic cannot overshadow the care for acute stroke, a time-sensitive emergency that with an inefficient treatment will further increase mortality and long-term disability. OBJECTIVE: This paper summarizes the recommendations from the Scientific Department on Cerebrovascular Diseases of the Brazilian Academy of Neurology, the Brazilian Society of Cerebrovascular Diseases and the Brazilian Society of Neuroradiology for management of acute stroke and urgent neuro-interventional procedures during the COVID-19 pandemic, including proper use of screening tools, personal protective equipment (for patients and health professionals), and patient allocation.


Subject(s)
Coronavirus Infections/prevention & control , Coronavirus , Disease Management , Infectious Disease Transmission, Patient-to-Professional/prevention & control , Infectious Disease Transmission, Professional-to-Patient/prevention & control , Neurology/standards , Pneumonia, Viral/prevention & control , Stroke/therapy , Betacoronavirus , Brazil , COVID-19 , Coronavirus Infections/complications , Coronavirus Infections/epidemiology , Humans , Pandemics/prevention & control , Pneumonia, Viral/complications , Pneumonia, Viral/epidemiology , SARS-CoV-2 , Societies, Medical
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