Article

Disease trajectories in hospitalized COVID-19 patients are predicted by clinical and…

medRxiv: the preprint server for health sciences · 2023 · João Da Silva Filho, author Vanessa Herder, author Matthew P. Gibbins, author Monique Freire dos Reis, author Gisely Cardoso Melo, author Michael J. Haley, author Carla Cristina Judice, author Fernando Fonseca Almeida Val, author Mayla Borba, author Tatyana Almeida Tavella, author Vanderson de Sousa Sampaio, author Charalampos Attipa, author Fiona McMonagle, author Marcus Vinicius Guimaraes de Lacerda, author Fabio Trindade Maranhão Costa, author Kevin N. Couper, author Wuelton Marcelo Monteiro, author Luiz Carlos de Lima Ferreira, author Christopher Alan Moxon, author Massimo Palmarini, author Matthias Marti, author

Key facts

Title Disease trajectories in hospitalized COVID-19 patients are predicted by clinical and peripheral blood signatures representing distinct lung pathologies
First author João Da Silva Filho, author Vanessa Herder, author Matthew P. Gibbins, author Monique Freire dos Reis, author Gisely Cardoso Melo, author Michael J. Haley, author Carla Cristina Judice, author Fernando Fonseca Almeida Val, author Mayla Borba, author Tatyana Almeida Tavella, author Vanderson de Sousa Sampaio, author Charalampos Attipa, author Fiona McMonagle, author Marcus Vinicius Guimaraes de Lacerda, author Fabio Trindade Maranhão Costa, author Kevin N. Couper, author Wuelton Marcelo Monteiro, author Luiz Carlos de Lima Ferreira, author Christopher Alan Moxon, author Massimo Palmarini, author Matthias Marti, author
Journal medRxiv : the preprint server for health sciences
Published Sep 12, 2023
DOI 10.1101/2023.09.08.23295024
Devices mentioned K042884, K823719
Product codes mentioned HKI, MXZ, HWE, KPA, MVU, MYA, NJT, NKF, QKO

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  • 1–9 FDA submissions mentioned
  • 1–9 Product codes mentioned

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