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
11 resultados
Resultados de Busca
Agora exibindo 1 - 10 de 11
- 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.
- Sabia Virus-Like Mammarenavirus in Patient with Fatal Hemorrhagic Fever, Brazil, 2020(2020) MALTA, Fernanda de Mello; AMGARTEN, Deyvid; NASTRI, Ana Catharina de Seixas Santos; HO, Yeh-Li; CASADIO, Luciana Vilas Boas; BASQUEIRA, Marcela; SELEGATTO, Gloria; CERVATO, Murilo Castro; DUARTE-NETO, Amaro Nunes; HIGASHINO, Hermes Ryoiti; MEDEIROS, Felipe Arthur Faustino; GENDLER, Jose Luiz Pinto Lima; LEVIN, Anna S.; PINHO, Joao Renato RebelloNew World arenaviruses can cause chronic infection in rodents and hemorrhagic fever in humans. We identified a Sable virus-like mammarenevirus in a patient with fatal hemorrhagic fever from Sao Paulo, Brazil. The virus was detected through virorne enrichment and metagenomic next-generation sequencing technology.
- 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.
- Evaluation of eleven immunochromatographic assays for SARS-CoV-2 detection: investigating the dengue cross-reaction(2022) OLIVEIRA, Beatriz Araujo; OLIVEIRA, Lea Campos de; OLIVEIRA, Franciane Mendes de; PEREIRA, Geovana Maria; SOUZA, Regina Maia de; MANULI, Erika Regina; MARCHINI, Fabricio Klerynton; ESPINOZA, Evelyn Patricia Sanchez; PARK, Marcelo; TANIGUCHI, Leandro; MENDES, Pedro Vitale; FRANCO, Lucas Augusto Moyses; NASTRI, Ana Catharina; OLIVEIRA, Maura Salaroli de; VIEIRA JUNIOR, Jose Mauro; KALLAS, Esper Georges; LEVIN, Anna Sara; SABINO, Ester Cerdeira; COSTA, Silvia FigueiredoCOVID-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.
- Performance of a qualitative rapid chromatographic immunoassay to diagnose COVID-19 in patients in a middle-income country(2020) COSTA, Silvia Figueiredo; BUSS, Lewis; ESPINOZA, Evelyn Patricia Sanchez; JR, Jose Mauro Vieira; SILVA, Lea Campos de Oliveira da; SOUZA, Regina Maia de; NETO, Lauro Perdigao; PORTO, Ana Paula Matos; LAZARI, Carolina; SANTOS, Vera Aparecida dos; DUARTE, Alberto da Silva; NASTRI, Ana Catharina; LEITE, Gabriel Fialkovitz da Costa; MANULI, Erika; OLIVEIRA, Maura Salaroli de; ZAMPELLI, Daniella Bosco; PASTORE JUNIOR, Laerte; SEGURADO, Aluisio Cotrim; LEVIN, Anna S.; SABINO, EsterObjectives: We evaluated a rapid chromatographic immunoassay (IgG/IgM antibodies) and an ELISA assay to diagnose COVID-19 in patient sat two Brazilian hospitals. Methods: A total of 122 subjects with COVID-19 were included: 106 SARS-COV-2 RT-PCR-positive patients and 16 RT-PCR-negative patients with symptoms and chest computed tomography (CT) consistent with COVID-19. Ninety-six historical blood donation samples were used as controls. Demographic and clinical characteristics were retrieved from electronic records. Sensitivity and specificity were calculated, as were their 95% binomial confidence intervals using the Clopper-Pearson method. All analyses were performed in R version 3.6.3. Results: The sensitivity of the chromatographic immunoassay in all RT-PCR-positive patients, irrespective of the timing of symptom onset, was 85.8% (95% binomial CI 77.7% to 91.9%). This increased with time after symptom onset, and at >14 days was 94.9% (85.9% to 98.9%). The specificity was 100% (96.4% to 100%). 15/16 (94%) RT- PCR-negative cases tested positive. The most frequent comorbidities were hypertension and diabetes mellitus and the most frequent symptoms were fever, cough, and dyspnea. All RT-PCR-negative patients had pneumonia. The most frequent thoracic CT findings were ground glass changes (n = 11, 68%), which were bilateral in 9 (56%) patients, and diffuse reticulonodular infiltrates (n = 5, 31%). Conclusions: The COVID-19 rapid chromatographic immunoassay evaluated in this study had a high sensitivity and specificity using plasma, particularly after 14 days from symptom onset. ELISA and qualitative rapid chromatographic immunoassays can be used for the diagnosis of RT-PCR-negative patients.
- 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.
- Confronting the Multidimensional Challenges of Research in the Context of Emerging Infectious Diseases in Brazil: The Example of Yellow Fever(2020) AVELINO-SILVA, Vivian I.; FIGUEIREDO-MELLO, Claudia; CASADIO, Luciana V. B.; NASTRI, Ana C. S. S.; MARCILIO, Izabel; RIBEIRO, Ana F.; LEVIN, Anna S.; SABINO, Ester C.In the most recent Brazilian yellow fever (YF) outbreak, a group of clinicians and researchers initiated in mid-January 2018 a considerable effort to develop a multicenter randomized controlled clinical trial to evaluate the effect of sofosbuvir on YF viremia and clinical outcomes (Brazilian Clinical Trials Registry: RBR-93dp9n). The approval of this protocol had urgency given the seasonal/short-lived pattern of YF transmission, large number of human cases, and epidemic transmission at the outskirts of a large urban center. However, many intricacies in the research regulatory and ethical submission systems in Brazil were indomitable even under such pressing conditions. By April 2018, we had enrolled 29 patients for a target sample size of 90 participants. Had enrollment been initiated 3 weeks earlier, an additional 31 patients could have been enrolled, reaching the prespecified sample size for the interim analysis. This recent experience highlights the urgent need to improve local preparedness for research in the setting of explosive outbreaks, as has been seen in the last few years in different countries.
- Efficacy of sofosbuvir as treatment for yellow fever: protocol for a randomised controlled trial in Brazil (SOFFA study)(2019) FIGUEIREDO-MELLO, Claudia; CASADIO, Luciana Vilas Boas; AVELINO-SILVA, Vivian Lida; Ho Yeh-Li; SZTAJNBOK, Jaques; JOELSONS, Daniel; ANTONIO, Marilia Bordignon; PINHO, Joao Renato Rebello; MALTA, Fernanda de Mello; GOMES-GOUVEA, Michele Soares; SALLES, Ana Paula Moreira; CORA, Aline Pivetta; MOREIRA, Carlos Henrique Valente; RIBEIRO, Ana Freitas; NASTRI, Ana Catharina de Seixas Santos; MALAQUE, Ceila Maria Sant'Ana; TEIXEIRA, Ralcyon Francis Azevedo; BORGES, Luciana Marques Sansao; GONZALEZ, Mario Peribanez; PEREIRA JUNIOR, Luiz Carlos; SOUZA, Tamara Newman Lobato; SONG, Alice Tung Wan; D'ALBUQUERQUE, Luiz Augusto Carneiro; ABDALA, Edson; ANDRAUS, Wellington; MARTINO, Rodrigo Bronze de; DUCATTI, Liliana; ANDRADE, Guilherme Marques; MALBOUISSON, Luiz Marcelo Se; SOUZA, Izabel Marcilio de; CARRILHO, Flair Jose; SABINO, Ester Cerdeira; LEVIN, Anna S.Introduction An ongoing outbreak of yellow fever (YF) has been reported in Brazil with 1261 confirmed cases and 409 deaths since July 2017. To date, there is no specific treatment available for YF. Recently published papers describing in vitro and animal models suggest a potential effect of antiviral drugs (approved for the treatment of hepatitis virus) against flaviviruses, including YF. The primary aim of this study is to analyse the effect of sofosbuvir on viral kinetics and clinical outcomes among patients presenting with YE This is a multicentre open-label randomised controlled trial with 1:1 individual allocation, stratified by severity and by recruiting centre. Methods and analysis Adults with suspected or confirmed YF infection and symptoms lasting up to 15 days are screened. Eligible and consenting patients are randomised to receive oral sofosbuvir 400 mg daily for 10 days or to receive standard clinical care. Viral kinetics are measured daily and the reduction in YF plasma viral load from the sample at inclusion to 72 hours after randomisation will be compared between active and control groups. Clinical outcomes include severity meeting criteria for intensive care support, liver transplantation, in-hospital mortality and mortality within 60 days.
- Monkeypox Virus Transmission to Healthcare Worker through Needlestick Injury, Brazil(2022) CARVALHO, Laina Bubach; CASADIO, Luciana V. B.; POLLY, Matheus; NASTRI, Ana Catharina; TURDO, Anna Claudia; ELIODORO, Raissa H. De Araujo; SABINO, Ester Cerdeira; LEVIN, Anna Sara; PROENCA, Adriana Coracini Tonacio de; HIGASHINO, Hermes RyoitiWe describe monkeypox virus (MPXV) transmission from a patient to a healthcare worker through needlestick injury. A lesion appeared at the inoculation site 5 days after inju-ry. Blood tested MPXV-positive by PCR before symptoms worsened; blood remained MPXV-positive at discharge 19 days after symptom onset. Postexposure prophylaxis could prevent potential MPXV bloodborne transmission.
- Lipase and factor V (but not viral load) are prognostic factors for the evolution of severe yellow fever cases(2019) CASADIO, Luciana Vilas Boas; SALLES, Ana Paula Moreira; MALTA, Fernanda de Mello; LEITE, Gabriel Fialkovitz; HO, Yeh-Li; GOMES-GOUVEA, Michele Soares; MALBOUISSON, Luiz Marcelo Sa; LEVIN, Anna S.; AZEVEDO NETO, Raymundo Soares de; CARRILHO, Flair Jose; NASTRI, Ana Catharina Seixas Santos; PINHO, Joao Renato RebelloBACKGROUND Despite a highly efficacious vaccine, yellow fever (YF) is still a major threat in developing countries and a cause of outbreaks. In 2018, the Brazilian state of Sao Paulo witnessed a new YF outbreak in areas where the virus has not been detected before. OBJECTIVE The aim is to describe the clinical and laboratorial characteristics of severe cases of YF, evaluate viral to determine markers associated with fatal outcome. METHODS Acute severe YF cases (n = 62) were admitted to the Intensive Care Unit of a reference hospital and submitted to routine laboratorial evaluation on admission. YFV-RNA was detected in serum and urine by reverse transcription-quantitative polymerase chain reaction (RT-qPCR) and then sequenced. Patients were classified in two groups: survival or death. FINDINGS In the univariate analysis the following variables were associated with outcome: alanin aminotransferase (ALT), aspartat aminotransferase (AST), AST/ALT ratio, total bilirubin (TB), chronic kidney disease epidemiology collaboration (CKD-EPI), ammonia, lipase, factor V, international normalised ratio (INR), lactate and bicarbonate. Logistic regression model showed two independent variables associated with death: lipase [odds ratio (OR) 1.018, 95% confidence interval (CI) 1.007 to 1.030, p = 0.002], and factor V (OR -0.955, 95% CI 0.929 to 0.982, p = 0.001). The estimated lipase and factor V cut-off values that maximised sensitivity and specificity for death prediction were 147.5 U/L [area under the curve (AUC) = 0.879], and 56.5% (AUC = 0.913). MAIN CONCLUSIONS YF acute severe cases show a generalised involvement of different organs (liver, spleen, heart, kidneys, intestines and pancreas), and different parameters were related to outcome. Factor V and lipase are independent variables associated with death, reinforcing the importance of hemorrhagic events due to fulminant liver failure and pointing to pancreatitis as a relevant event in the outcome of the disease.