Machine learning links unresolving secondary pneumonia to mortality in patients with severe pneumonia, including COVID-19-Reference-Cited by-同舟云学术

Machine learning links unresolving secondary pneumonia to mortality in patients with severe pneumonia, including COVID-19

Published:2023-06-15 Issue:12 Volume:133 Page:
ISSN:1558-8238
Container-title:Journal of Clinical Investigation
language:en
Short-container-title:

Author:

Gao Catherine A.^ORCID,Markov Nikolay S.^ORCID,Stoeger Thomas^ORCID,Pawlowski Anna,Kang Mengjia^ORCID,Nannapaneni Prasanth^ORCID,Grant Rogan A.^ORCID,Pickens Chiagozie,Walter James M.^ORCID,Kruser Jacqueline M.,Rasmussen Luke,Schneider Daniel^ORCID,Starren Justin^ORCID,Donnelly Helen K.^ORCID,Donayre Alvaro^ORCID,Luo Yuan^ORCID,Budinger G.R. Scott^ORCID,Wunderink Richard G.,Misharin Alexander V.^ORCID,Singer Benjamin D.^ORCID

Funder

National Institute of Allergy and Infectious Diseases

Publisher

American Society for Clinical Investigation

Subject

General Medicine

Link

https://www.jci.org/articles/view/170682/files/pdf

Reference54 articles.

1. Dexamethasone in hospitalized patients with COVID-19 — preliminary report;RECOVERY Collaborative Group;N Engl J Med,2020

2. Clinical features, ventilatory management, and outcome of ARDS caused by COVID-19 are similar to other causes of ARDS

3. Factors influencing liberation from mechanical ventilation in coronavirus disease 2019: multicenter observational study in fifteen Italian ICUs