Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/5577
Title: Baseline procalcitonin as a predictor of bacterial infection and clinical outcomes in COVID-19: A case-control study
Authors: Atallah, Natalie J
Warren, Hailey M
Roberts, Matthew B
Elshaboury, Ramy H
Bidell, Monique R
Gandhi, Ronak G
Adamsick, Meagan
Ibrahim, Maryam K
Sood, Rupali
Bou Zein Eddine, Savo
Cobler-Lichter, Matthew J
Alexander, Natalie J
Timmer, Kyle D
Atallah, Christine J
Viens, Adam L
Panossian, Vahe S
Scherer, Allison K
Proctor, Teddie
Smartt, Sherrie
Letourneau, Alyssa R
Paras, Molly L
Johannes, Sascha
Wiemer, Jan
Mansour, Michael K
Affiliations: Faculty of Medicine 
Issue Date: 2022
Publisher: National Library of Medicine
Part of: PLoS ONE
Volume: 17
Issue: 1
Abstract: 
Coronavirus disease-2019 (COVID-19) is associated with a wide spectrum of clinical symptoms including acute respiratory failure. Biomarkers that can predict outcomes in patients with COVID-19 can assist with patient management. The aim of this study is to evaluate whether procalcitonin (PCT) can predict clinical outcome and bacterial superinfection in patients infected with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2).
URI: https://scholarhub.balamand.edu.lb/handle/uob/5577
DOI: 10.1371/journal.pone.0262342
Open URL: Link to full text
Type: Journal Article
Appears in Collections:Faculty of Medicine

Show full item record

SCOPUSTM   
Citations

8
checked on Feb 4, 2023

Record view(s)

6
checked on Feb 6, 2023

Google ScholarTM

Check

Dimensions Altmetric

Dimensions Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.