LAURO VIEIRA PERDIGAO NETO
Projetos de Pesquisa
Unidades Organizacionais
LIM/49 - Laboratório de Protozoologia, Hospital das Clínicas, Faculdade de Medicina
3 resultados
Resultados de Busca
Agora exibindo 1 - 3 de 3
- Meningitis caused by Capnocytophaga canimorsus in a COVID-19 patient: a rare complication of dog bites(2022) FARIAS, Luis Arthur Brasil Gadelha; STOLP, Angela Maria Veras; BANDEIRA, Silviane Praciano; MESQUITA, Rafael Ferreira; BESSA, Pedro Pinheiro de Negreiros; HOLANDA, Pablo Eliack Linhares de; COSTA, Silvia Figueiredo; TAKEDA, Christianne Fernandes Valente; PERDIGAO NETO, Lauro VieiraCapnocytophaga canimorsus is a gram-negative rod that is part of the commensal microbiota of dogs' and cats' mouths. In this case, we report an 85-year-old man with COVID-19 who had his right arm bitten by a dog. His symptoms were impaired consciousness, agitation and aggressive behavior. Physical examination revealed neck stiffness and Brudzinski's sign. The cerebrospinal fluid culture was compatible with Capnocytophaga canimorsus. He required intensive care and received a 14-day prescription of meropenem. After 40 days of hospitalization, the patient was fully recovered and was discharged. This case highlights the importance of physician and microbiologist be awareness of this disease, mainly in patients with neurological symptoms after a dog or cat bite.
- 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.
- Virulomic Analysis of Multidrug-Resistant Klebsiella pneumoniae Isolates and Experimental Virulence Model Using Danio rerio (Zebrafish)(2022) DUARTE, Edson Luiz Tarsia; RIZEK, Camila Fonseca; ESPINOZA, Evelyn Sanchez; MARCHI, Ana Paula; NOGUERA, Saidy Vasconez; CORTES, Marina Farrel; FERNANDES, Bianca H. Ventura; GUIMARAES, Thais; CARRILHO, Claudia M. D. de Maio; V, Lauro Perdigao Neto; TRINDADE, Priscila A.; COSTA, Silvia FigueiredoThis study evaluates a possible correlation between multidrug-resistant Klebsiella pneumoniae strains and virulence markers in a Danio rerio (zebrafish) model. Whole-genome sequencing (WGS) was performed on 46 strains from three Brazilian hospitals. All of the isolates were colistin-resistant and harbored bla(KPC-2). Ten different sequence types (STs) were found; 63% belonged to CC258, 22% to ST340, and 11% to ST16. The virulence factors most frequently found were type 3 fimbriae, siderophores, capsule regulators, and RND efflux-pumps. Six strains were selected for a time-kill experiment in zebrafish embryos: infection by ST16 was associated with a significantly higher mortality rate when compared to non-ST16 strains (52% vs. 29%, p = 0.002). Among the STs, the distribution of virulence factors did not differ significantly except for ST23, which harbored a greater variety of factors than other STs but was not related to a higher mortality rate in zebrafish. Although several virulence factors are described in K. pneumoniae, our study found ST16 to be the only significant predictor of a virulent phenotype in an animal model. Further research is needed to fully understand the correlation between virulence and sequence types.