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Prospective validation study of prognostic biomarkers to predict adverse outcomes in patients with COVID-19: a study protocol

INTRODUCTION: Accurate triage is an important first step to effectively manage the clinical treatment of severe cases in a pandemic outbreak. In the current COVID-19 global pandemic, there is a lack of reliable clinical tools to assist clinicians to perform accurate triage. Host response biomarkers...

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Autores principales: Tang, Benjamin, Shojaei, Maryam, Wang, Ya, Nalos, Marek, Mclean, Anthony, Afrasiabi, Ali, Kwan, Tim N, Kuan, Win Sen, Zerbib, Yoann, Herwanto, Velma, Gunawan, Gunawan, Bedognetti, Davide, Zoppoli, Gabriele, Ballestrero, Alberto, Rinchai, Darawan, Cremonesi, Paolo, Bedognetti, Michele, Matejovic, Martin, Karvunidis, Thomas, Macdonald, Stephen P J, Cox, Amanda J, West, Nicholas P, Cripps, Allan William, Schughart, Klaus, de Maria, Andrea, Chaussabel, Damien, Iredell, Jonathan, Weng, Stephen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7789210/
https://www.ncbi.nlm.nih.gov/pubmed/33408218
http://dx.doi.org/10.1136/bmjopen-2020-044497
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author Tang, Benjamin
Shojaei, Maryam
Wang, Ya
Nalos, Marek
Mclean, Anthony
Afrasiabi, Ali
Kwan, Tim N
Kuan, Win Sen
Zerbib, Yoann
Herwanto, Velma
Gunawan, Gunawan
Bedognetti, Davide
Zoppoli, Gabriele
Ballestrero, Alberto
Rinchai, Darawan
Cremonesi, Paolo
Bedognetti, Michele
Matejovic, Martin
Karvunidis, Thomas
Macdonald, Stephen P J
Cox, Amanda J
West, Nicholas P
Cripps, Allan William
Schughart, Klaus
de Maria, Andrea
Chaussabel, Damien
Iredell, Jonathan
Weng, Stephen
author_facet Tang, Benjamin
Shojaei, Maryam
Wang, Ya
Nalos, Marek
Mclean, Anthony
Afrasiabi, Ali
Kwan, Tim N
Kuan, Win Sen
Zerbib, Yoann
Herwanto, Velma
Gunawan, Gunawan
Bedognetti, Davide
Zoppoli, Gabriele
Ballestrero, Alberto
Rinchai, Darawan
Cremonesi, Paolo
Bedognetti, Michele
Matejovic, Martin
Karvunidis, Thomas
Macdonald, Stephen P J
Cox, Amanda J
West, Nicholas P
Cripps, Allan William
Schughart, Klaus
de Maria, Andrea
Chaussabel, Damien
Iredell, Jonathan
Weng, Stephen
author_sort Tang, Benjamin
collection PubMed
description INTRODUCTION: Accurate triage is an important first step to effectively manage the clinical treatment of severe cases in a pandemic outbreak. In the current COVID-19 global pandemic, there is a lack of reliable clinical tools to assist clinicians to perform accurate triage. Host response biomarkers have recently shown promise in risk stratification of disease progression; however, the role of these biomarkers in predicting disease progression in patients with COVID-19 is unknown. Here, we present a protocol outlining a prospective validation study to evaluate the biomarkers’ performance in predicting clinical outcomes of patients with COVID-19. METHODS AND ANALYSIS: This prospective validation study assesses patients infected with COVID-19, in whom blood samples are prospectively collected. Recruited patients include a range of infection severity from asymptomatic to critically ill patients, recruited from the community, outpatient clinics, emergency departments and hospitals. Study samples consist of peripheral blood samples collected into RNA-preserving (PAXgene/Tempus) tubes on patient presentation or immediately on study enrolment. Real-time PCR (RT-PCR) will be performed on total RNA extracted from collected blood samples using primers specific to host response gene expression biomarkers that have been previously identified in studies of respiratory viral infections. The RT-PCR data will be analysed to assess the diagnostic performance of individual biomarkers in predicting COVID-19-related outcomes, such as viral pneumonia, acute respiratory distress syndrome or bacterial pneumonia. Biomarker performance will be evaluated using sensitivity, specificity, positive and negative predictive values, likelihood ratios and area under the receiver operating characteristic curve. ETHICS AND DISSEMINATION: This research protocol aims to study the host response gene expression biomarkers in severe respiratory viral infections with a pandemic potential (COVID-19). It has been approved by the local ethics committee with approval number 2020/ETH00886. The results of this project will be disseminated in international peer-reviewed scientific journals.
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spelling pubmed-77892102021-01-07 Prospective validation study of prognostic biomarkers to predict adverse outcomes in patients with COVID-19: a study protocol Tang, Benjamin Shojaei, Maryam Wang, Ya Nalos, Marek Mclean, Anthony Afrasiabi, Ali Kwan, Tim N Kuan, Win Sen Zerbib, Yoann Herwanto, Velma Gunawan, Gunawan Bedognetti, Davide Zoppoli, Gabriele Ballestrero, Alberto Rinchai, Darawan Cremonesi, Paolo Bedognetti, Michele Matejovic, Martin Karvunidis, Thomas Macdonald, Stephen P J Cox, Amanda J West, Nicholas P Cripps, Allan William Schughart, Klaus de Maria, Andrea Chaussabel, Damien Iredell, Jonathan Weng, Stephen BMJ Open Research Methods INTRODUCTION: Accurate triage is an important first step to effectively manage the clinical treatment of severe cases in a pandemic outbreak. In the current COVID-19 global pandemic, there is a lack of reliable clinical tools to assist clinicians to perform accurate triage. Host response biomarkers have recently shown promise in risk stratification of disease progression; however, the role of these biomarkers in predicting disease progression in patients with COVID-19 is unknown. Here, we present a protocol outlining a prospective validation study to evaluate the biomarkers’ performance in predicting clinical outcomes of patients with COVID-19. METHODS AND ANALYSIS: This prospective validation study assesses patients infected with COVID-19, in whom blood samples are prospectively collected. Recruited patients include a range of infection severity from asymptomatic to critically ill patients, recruited from the community, outpatient clinics, emergency departments and hospitals. Study samples consist of peripheral blood samples collected into RNA-preserving (PAXgene/Tempus) tubes on patient presentation or immediately on study enrolment. Real-time PCR (RT-PCR) will be performed on total RNA extracted from collected blood samples using primers specific to host response gene expression biomarkers that have been previously identified in studies of respiratory viral infections. The RT-PCR data will be analysed to assess the diagnostic performance of individual biomarkers in predicting COVID-19-related outcomes, such as viral pneumonia, acute respiratory distress syndrome or bacterial pneumonia. Biomarker performance will be evaluated using sensitivity, specificity, positive and negative predictive values, likelihood ratios and area under the receiver operating characteristic curve. ETHICS AND DISSEMINATION: This research protocol aims to study the host response gene expression biomarkers in severe respiratory viral infections with a pandemic potential (COVID-19). It has been approved by the local ethics committee with approval number 2020/ETH00886. The results of this project will be disseminated in international peer-reviewed scientific journals. BMJ Publishing Group 2021-01-06 /pmc/articles/PMC7789210/ /pubmed/33408218 http://dx.doi.org/10.1136/bmjopen-2020-044497 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (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, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Research Methods
Tang, Benjamin
Shojaei, Maryam
Wang, Ya
Nalos, Marek
Mclean, Anthony
Afrasiabi, Ali
Kwan, Tim N
Kuan, Win Sen
Zerbib, Yoann
Herwanto, Velma
Gunawan, Gunawan
Bedognetti, Davide
Zoppoli, Gabriele
Ballestrero, Alberto
Rinchai, Darawan
Cremonesi, Paolo
Bedognetti, Michele
Matejovic, Martin
Karvunidis, Thomas
Macdonald, Stephen P J
Cox, Amanda J
West, Nicholas P
Cripps, Allan William
Schughart, Klaus
de Maria, Andrea
Chaussabel, Damien
Iredell, Jonathan
Weng, Stephen
Prospective validation study of prognostic biomarkers to predict adverse outcomes in patients with COVID-19: a study protocol
title Prospective validation study of prognostic biomarkers to predict adverse outcomes in patients with COVID-19: a study protocol
title_full Prospective validation study of prognostic biomarkers to predict adverse outcomes in patients with COVID-19: a study protocol
title_fullStr Prospective validation study of prognostic biomarkers to predict adverse outcomes in patients with COVID-19: a study protocol
title_full_unstemmed Prospective validation study of prognostic biomarkers to predict adverse outcomes in patients with COVID-19: a study protocol
title_short Prospective validation study of prognostic biomarkers to predict adverse outcomes in patients with COVID-19: a study protocol
title_sort prospective validation study of prognostic biomarkers to predict adverse outcomes in patients with covid-19: a study protocol
topic Research Methods
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7789210/
https://www.ncbi.nlm.nih.gov/pubmed/33408218
http://dx.doi.org/10.1136/bmjopen-2020-044497
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