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5/22/2020 5:19:12 AM | Browse: 121 | Download: 331
Publication Name World Journal of Clinical Infectious Diseases
Manuscript ID 56292
Country Egypt
Category Surgery
Manuscript Type Systematic Reviews
Article Title Predictors of severe and critical COVID-19: A systematic review
Manuscript Source Unsolicited Manuscript
All Author List Sameh Hany Emile and Sualeh Muslim Khan
Funding Agency and Grant Number
Corresponding Author Sameh Hany Emile, MD, Associate Professor, Surgeon, General Surgery Department, Mansoura University Hospitals, Mansoura University, Dakahlia Governorate, Mansoura City 35516, Egypt. dr_sameh81@mans.edu.eg
Key Words COVID-19; SARS-CoV-2; Predictors; Severe; Critical; Systematic review
Core Tip After systematic literature search, several demographic, clinical, laboratory, and radiologic factors were found to be predictive of severe and critical coronavirus disease 2019 along with the potential need for mechanical ventilation. Factors that were more commonly reported were older age, medical comorbidities, lymphopenia, increased neutrophil ratio, elevated C-reactive protein, and increased D-dimer. Findings on computed tomography (CT) scanning predictive of severe disease were bronchial wall thickening, CT score > 7, linear opacities, consolidation, right upper lobe affection, and crazy paving pattern.
Citation Emile SH, Khan SM. Predictors of Severe and Critical COVID-19: A systematic review. World J Clin Infect Dis 2020; 10(2): 24-32
Received
2020-04-23 17:37
Peer-Review Started
2020-04-23 17:38
To Make the First Decision
Return for Revision
2020-05-05 17:07
Revised
2020-05-06 07:49
Second Decision
2020-05-20 10:48
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2020-05-22 05:19
Articles in Press
2020-05-22 05:19
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2020-06-03 08:29
ISSN 2220-3176 (online)
Open Access This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Copyright © The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.
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