Clonal Dissemination of OXA-370-Producing Klebsiella pneumoniae in Rio de Janeiro, Brazil

Submitted by sandra infurna ([email protected]) on 2016-03-10T12:23:00Z No. of bitstreams: 1 miria_borghi_etal_IOC_2015.pdf: 485495 bytes, checksum: ce068a779c016a17021c3615e301fe69 (MD5)Approved for entry into archive by sandra infurna ([email protected]) on 2016-03-10T14:33:42Z (GMT) No. of bitstreams: 1 miria_borghi_etal_IOC_2015.pdf: 485495 bytes, checksum: ce068a779c016a17021c3615e301fe69 (MD5)Made available in DSpace on 2016-03-10T14:33:42Z (GMT). No. of bitstreams: 1 miria_borghi_etal_IOC_2015.pdf: 485495 bytes, checksum: ce068a779c016a17021c3615e301fe69 (MD5) Previous issue date: 2015Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Pesquisa em Infecção Hospitalar. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Pesquisa em Infecção Hospitalar. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Pesquisa em Infecção Hospitalar. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Pesquisa em Infecção Hospitalar. Rio de Janeiro, RJ, Brasil.Laboratório Central de Saúde Pública do Rio de Janeiro Noel Nutels. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Pesquisa em Infecção Hospitalar. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Pesquisa em Infecção Hospitalar. Rio de Janeiro, RJ, Brasil.Enzymes of the OXA-48 family have become some of the most important beta-lactamases in the world. A new OXA-48 variant (OXA-370) was first described for an Enterobacter hormaechei strain isolated in Rio Grande do Sul (southern region of Brazil) in 2013. Here we report detection of the blaOXA-370 gene in 24 isolates belonging to three Enterobacteriaceae species (22 Klebsiella pneumoniae isolates, 1 Enterobacter cloacae isolate, and 1 Enterobacter aerogenes isolate) collected from five hospitals in Rio de Janeiro, Brazil, in 2013 and 2014. The isolates showed a multidrug resistance profile, and 12.5% were resistant to polymyxin B. Besides blaOXA-370, no other carbapenemase genes were observed by PCR, whereas blaOXA-1 was found in all isolates and 22 isolates (91.6%) possessed blaCTX-M-15. Molecular typing of the K. pneumoniae isolates by pulsed-field gel electrophoresis (PFGE) showed the presence of two clonal groups, i.e., KpA (21 isolates) and KpB (1 isolate). KpA was characterized as sequence type 16 (ST16) and KpB as ST1041 by multilocus sequence typing (MLST). ST16 has been observed for KPC-producing K. pneumoniae in Rio de Janeiro. Plasmid analysis performed with six representative OXA-370-producing isolates showed plasmids harboring the blaOXA-370 gene in all strains, ranging from 25 kb to 150 kb. This study suggests that there is an urgent need to investigate the presence of OXA-370 and dissemination of the K. pneumoniae ST16 clone carrying this gene in Brazil

Multiclonal Expansion of Klebsiella pneumoniae Isolates Producing NDM-1 in Rio de Janeiro, Brazil

Submitted by Sandra Infurna ([email protected]) on 2018-02-22T11:44:03Z No. of bitstreams: 1 marise_asensi_etal_IOC_2017.pdf: 497018 bytes, checksum: dc58d964828de09e36dd354edb80c9a0 (MD5)Approved for entry into archive by Sandra Infurna ([email protected]) on 2018-02-22T11:56:02Z (GMT) No. of bitstreams: 1 marise_asensi_etal_IOC_2017.pdf: 497018 bytes, checksum: dc58d964828de09e36dd354edb80c9a0 (MD5)Made available in DSpace on 2018-02-22T11:56:03Z (GMT). No. of bitstreams: 1 marise_asensi_etal_IOC_2017.pdf: 497018 bytes, checksum: dc58d964828de09e36dd354edb80c9a0 (MD5) Previous issue date: 2017Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Pesquisa em Infecção Hospitalar. Rio de Janeiro, RJ. Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Pesquisa em Infecção Hospitalar. Rio de Janeiro, RJ. Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Pesquisa em Infecção Hospitalar. Rio de Janeiro, RJ. Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Pesquisa em Infecção Hospitalar. Rio de Janeiro, RJ. Brasil.Laboratório Central de Saúde Pública Noel Nutels. Rio de Janeiro, RJ, Brasil.Secretaria Estadual de Saúde. Coordenação Estadual de Controle de Infecção Hospitalar. Rio de Janeiro, RJ, Brasil.Universidade do Estado do Rio de Janeiro. Departamento de Bioquímica. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Pesquisa em Infecção Hospitalar. Rio de Janeiro, RJ. Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Pesquisa em Infecção Hospitalar. Rio de Janeiro, RJ. Brasil.We characterized NDM-1-producingKlebsiellaisolates from Rio de Janeiro, Brazil. PCR was applied for resistance and virulence determinants. The genetic context ofblaNDMwas determined by S1 nuclease pulsed-field gel electrophoresis (PFGE) and hybridization. Genotyping was performed by PFGE and multilocus sequence typing (MLST). Most isolates carried multiple resistance genes and remained susceptible to amikacin, fosfomycin-trometamol, polymyxin B, and tigecycline. The spread of NDM-1-producingKlebsiella pneumoniaewas not associated with clonal expansion and appears to be associated with Tn3000

ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19

The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19. This dataset was compiled during the COVID-19 pandemic by a network of hospitals that collect data using the ISARIC-World Health Organization Clinical Characterization Protocol and data tools. The database includes data from more than 705,000 patients, collected in more than 60 countries and 1,500 centres worldwide. Patient data are available from acute hospital admissions with COVID-19 and outpatient follow-ups. The data include signs and symptoms, pre-existing comorbidities, vital signs, chronic and acute treatments, complications, dates of hospitalization and discharge, mortality, viral strains, vaccination status, and other data. Here, we present the dataset characteristics, explain its architecture and how to gain access, and provide tools to facilitate its use