ANA CATHARINA DE SEIXAS SANTOS NASTRI
Projetos de Pesquisa
Unidades Organizacionais
Instituto Central, Hospital das Clínicas, Faculdade de Medicina
LIM/07 - Laboratório de Gastroenterologia Clínica e Experimental, Hospital das Clínicas, Faculdade de Medicina
LIM/07 - Laboratório de Gastroenterologia Clínica e Experimental, Hospital das Clínicas, Faculdade de Medicina
7 resultados
Resultados de Busca
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- Understanding Sabia virus infections (Brazilian mammarenavirus)(2022) NASTRI, Ana Catharina; DUARTE-NETO, Amaro Nunes; CASADIO, Luciana Vilas Boas; SOUZA, William Marciel de; CLARO, Ingra M.; MANULI, Erika R.; SELEGATTO, Gloria; SALOMA, Matias C.; FIALKOVITZ, Gabriel; TABORDA, Mariane; ALMEIDA, Bianca Leal de; MAGRI, Marcello C.; GUEDES, Ana Rubia; NETO, Laura Vieira Perdigao; SATAKI, Fatima Mitie; GUIMARAES, Thais; MENDES-CORREA, Maria Cassia; TOZETTO-MENDOZA, Tania R.; FUMAGALLI, Marcilio Jorge; HO, Yeh-Li; SILVA, Camila ALves Maia da; COLETTI, Thais M.; JESUS, Jacqueline Goes de; ROMANO, Camila M.; HILL, Sarah C.; PYBUS, Oliver; PINHO, Joao Renato Rebello; LEDESMA, Felipe Lourenco; CASAL, Yuri R.; KANAMURA, Cristina; ARAUJO, Leonardo Jose Tadeu de; FERREIRA, Camila Santos da Silva; GUERRA, Juliana Mariotti; FIGUEIREDO, Luiz Tadeu Moraes; DOLHNIKOFF, Marisa; FARIA, Nuno R.; SABINO, Ester C.; AVANCINI, Venacio; ALVES, Ferreira; LEVIN, Anna S.Background: Only two naturally occurring human Sabi ' a virus (SABV) infections have been reported, and those occurred over 20 years ago. Methods: We diagnosed two new cases of SABV infection using metagenomics in patients thought to have severe yellow fever and described new features of histopathological findings. Results: We characterized clinical manifestations, histopathology and analyzed possible nosocomial transmission. Patients presented with hepatitis, bleeding, neurological alterations and died. We traced twenty-nine hospital contacts and evaluated them clinically and by RT-PCR and neutralizing antibodies. Autopsies uncovered unique features on electron microscopy, such as hepatocyte ""pinewood knot"" lesions. Although previous reports with similar New-World arenavirus had nosocomial transmission, our data did not find any case in contact tracing. Conclusions: Although an apparent by rare, Brazilian mammarenavirus infection is an etiology for acute hemorrhagic fever syndrome. The two fatal cases had peculiar histopathological findings not previously described. The virological diagnosis was possible only by contemporary techniques such as metagenomic assays. We found no subsequent infections when we used serological and molecular tests to evaluate close contacts.
- Correlating drug prescriptions with prognosis in severe COVID-19: first step towards resource management(2022) LEVIN, Anna S.; FREIRE, Maristela P.; OLIVEIRA, Maura Salaroli de; NASTRI, Ana Catharina S.; HARIMA, Leila S.; PERDIGAO-NETO, Lauro Vieira; MAGRI, Marcello M.; FIALKOVITZ, Gabriel; FIGUEIREDO, Pedro H. M. F.; SICILIANO, Rinaldo Focaccia; SABINO, Ester C.; CARLOTTI, Danilo P. N.; RODRIGUES, Davi Silva; NUNES, Fatima L. S.; FERREIRA, Joao EduardoBackground 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.
- Predicting the outcome for COVID-19 patients by applying time series classification to electronic health records(2022) RODRIGUES, Davi Silva; NASTRI, Ana Catharina S.; MAGRI, Marcello M.; OLIVEIRA, Maura Salaroli de; SABINO, Ester C.; FIGUEIREDO, Pedro H. M. F.; LEVIN, Anna S.; FREIRE, Maristela P.; HARIMA, Leila S.; NUNES, Fatima L. S.; FERREIRA, Joao EduardoBackground 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 Clinicas (Sao 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.
- Brazilian guidelines for the treatment of outpatients with suspected or confirmed COVID-19. A joint guideline of the Brazilian Association of Emergency Medicine (ABRAMEDE), Brazilian Medical Association (AMB), Brazilian Society of Angiology and Vascular Surgery (SBACV), Brazilian Society of Geriatrics and Gerontology (SBGG), Brazilian Society of Infectious Diseases (SBI), Brazilian Society of Family and Community Medicine (SBFMC), and Brazilian Thoracic Society (SBPT)(2022) FALAVIGNA, Maicon; BELLI, Karlyse Claudino; BARBOSA, Alexandre Naime; ZAVASCKI, Alexandre Prehn; NASTRI, Ana Catharina de Seixas Santos; SANTANA, Christiane Machado; STEIN, Cinara; GRAF, Debora Dalmas; CADEGIANI, Flavio Adsuara; GUIMARAES, Helio Penna; MONTEIRO, Jose Tadeu; FERREIRA, Juliana Carvalho; AZEVEDO, Luciano Cesar Pontes de; MAGRI, Marcelo Mihailenko Chaves; SOBREIRA, Marcone Lima; DIAS, Maria Beatriz Gandra de Souza; OLIVEIRA, Maura Salaroli de; CORRADI, Mirian de Freitas Dal Ben; ROSA, Regis; HEINZELMANN, Ricardo Souza; SILVA, Rosemeri Maurici da; BELFORT JUNIOR, Rubens; CIMERMAN, Sergio; COLPANI, Veronica; VEIGA, Viviane Cordeiro; CARVALHO, Carlos Roberto Ribeiro deBackground: Several therapies have been used or proposed for the treatment of COVID-19, although their effectiveness and safety have not been properly evaluated. The purpose of this document is to provide recommendations to support decisions about the drug treatment of outpatients with COVID-19 in Brazil.Methods: A panel consisting of experts from different clinical fields, representatives of the Brazilian Ministry of Health, and methodologists (37 members in total) was responsible for preparing these guidelines. A rapid guideline development method was used, based on the adoption and/or adaptation of recommendations from existing international guidelines combined with additional structured searches for primary studies and new recommendations whenever necessary (GRADE-ADOLOPMENT). The rating of quality of evidence and the drafting of recommendations followed the GRADE method.Results: Ten technologies were evaluated, and 10 recommendations were prepared. Recommendations were made against the use of anticoagulants, azithromycin, budesonide, colchicine, corticosteroids, hydroxychloroquine/chloroquine alone or combined with azithromycin, ivermectin, nitazoxanide, and convalescent plasma. It was not possible to make a recommendation regarding the use of monoclonal antibodies in outpatients, as their benefit is uncertain and their cost is high, with limitations of availability and implementation.Conclusion: To date, few therapies have demonstrated effectiveness in the treatment of outpatients with COVID-19. Recommendations are restricted to what should not be used, in order to provide the best treatment according to the principles of evidence-based medicine and to promote resource savings by aboiding ineffective treatments. (c) 2022 Sociedade Brasileira de Infectologia.
- Non-toxigenic Corynebacterium diphtheriae infective endocarditis with embolic events: a case report(2020) SANTIS, Antonio de; SICILIANO, Rinaldo Focaccia; SAMPAIO, Roney Orismar; AKAMINE, Masahiko; VERONESE, Elinthon T.; MAGALHAES, Francisco Monteiro de Almeida; ARAUJO, Maria Rita Elmor; ROSSI, Flavia; MAGRI, Marcelo M. C.; NASTRI, Ana Catharina; ACCORSI, Tarso A. D.; ROSA, Vitor E. E.; TITINGER, David Provenzale; SPINA, Guilherme S.; TARASOUTCHI, FlavioBackground Corynebacterium diphtheriae (C. diphtheriae) infections, usually related to upper airways involvement, could be highly invasive. Especially in developing countries, non-toxigenic C. diphtheriae strains are now emerging as cause of invasive disease like endocarditis. The present case stands out for reinforcing the high virulence of this pathogen, demonstrated by the multiple systemic embolism and severe valve deterioration. It also emphasizes the importance of a coordinated interdisciplinary work to address all these challenges related to infectious endocarditis. Case presentation A 21-year-old male cocaine drug abuser presented to the emergency department with a 1-week history of fever, asthenia and dyspnea. His physical examination revealed a mitral systolic murmur, signs of acute arterial occlusion of the left lower limb, severe arterial hypotension and acute respiratory failure, with need of vasoactive drugs, orotracheal intubation/mechanical ventilation, empiric antimicrobial therapy and emergent endovascular treatment. The clinical suspicion of acute infective endocarditis was confirmed by transesophageal echocardiography, demonstrating a large vegetation on the mitral valve associated with severe valvular regurgitation. Abdominal ultrasound was normal with no hepatic, renal, or spleen abscess. Serial blood cultures and thrombus culture, obtained in the vascular procedure, identified non-toxigenic C. diphtheriae, with antibiotic therapy adjustment to monotherapy with ampicillin. Since the patient had a severe septic shock with sustained fever, despite antimicrobial therapy, urgent cardiac surgical intervention was planned. Anatomical findings were compatible with an aggressive endocarditis, requiring mitral valve replacement for a biological prosthesis. During the postoperative period, despite an initial clinical recovery and successfully weaning from mechanical ventilation, the patient presented with a recrudescent daily fever. Computed tomography of the abdomen revealed a hypoattenuating and extensive splenic lesion suggestive of abscess. After sonographically guided bridging percutaneous catheter drainage, surgical splenectomy was performed. Despite left limb revascularization, a forefoot amputation was required due to gangrene. The patient had a good clinical recovery, fulfilling 4-weeks of antimicrobial treatment. Conclusion Despite the effectiveness of toxoid-based vaccines, recent global outbreaks of invasive C. diphtheriae infectious related to non-toxigenic strains have been described. These infectious could be highly invasive as demonstrated in this case. Interdisciplinary work with an institutional ""endocarditis team"" is essential to achieve favorable clinical outcomes in such defiant scenarios.
- A Rare Association of Chronic Pulmonary Aspergillosis and Pulmonary Cryptococcosis as an Underlying Risk Factor(2023) SEKIGUCHI, William Kazunori; ALBUQUERQUE, Ronniel Morais; RAPOZO, Marjorie Marini; POLLY, Matheus; NASTRI, Ana Catharina de Seixas Santos; MAGRI, Marcello Mihailenko Chaves; OLIVEIRA, Vitor Falcao de; BERNARDI, Fabiola del Carlo; SOTTO, Mirian Nacagami
- Frequency and factors associated with hospital readmission after COVID-19 hospitalization: the importance of post-COVID diarrhea(2022) FREIRE, Maristela Pinheiro; OLIVEIRA, Maura Salaroli; MAGRI, Marcello Mihailenko Chaves; TAVARES, Bruno Melo; MARINHO, Igor; NASTRI, Ana Catharina De Seixas Santos; BUSATTO, Geraldo Filho; LEVIN, Anna S.Purpose: The aim of this study was to describe the incidence and risk factors for hospital readmission and infection during the months after COVID-19 hospital admission. Methods: This prospective study included adult patients who were hospitalized due to COVID-19 and had been discharged from April 2020 to August 2020. All patients had a medical evaluation with a structured questionnaire 6 to 11 months after hospital admission. The authors included only patients with confirmed COVID-19 by RT-PCR. Patients with pregnant/postpartum women, with a proven COVID-19 reinfection or incapable of answering the questionnaire were excluded. Results: A total of 822 patients completed the follow-up assessment, and 68% reported at least one recurrent symptom related to COVID-19. The most frequent symptom was myalgia (42%). Thirty-two percent of patients visited an emergency room after COVID-19 hospitalization, and 80 (10%) patients required re-hospitalization. Risk factors for hospital readmission were orotracheal intubation during COVID-19 hospitalization (p = 0.003, OR = 2.14), Charlson score (p = 0.002, OR = 1.21), congestive heart failure (p = 0.005, OR = 2.34), peripheral artery disease (p = 0.06, OR = 2.06) and persistent diarrhea after COVID-19 hospitalization discharge (p = 0.02, OR = 1.91). The main cause of hospital readmission was an infection, 43 (54%). Pneumonia was the most frequent infection (29%). Conclusions: The presence of symptoms after six months of COVID-19 diagnosis was frequent, and hospital readmission was relatively high.