Literature DB >> 33408218

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

Benjamin Tang1,2, Maryam Shojaei3,4, Ya Wang3,2, Marek Nalos3, Anthony Mclean3, Ali Afrasiabi2,5, Tim N Kwan3, Win Sen Kuan6,7, Yoann Zerbib8, Velma Herwanto2,9, Gunawan Gunawan10, Davide Bedognetti11,12, Gabriele Zoppoli12,13, Alberto Ballestrero12,13, Darawan Rinchai11, Paolo Cremonesi14, Michele Bedognetti15, Martin Matejovic16, Thomas Karvunidis16, Stephen P J Macdonald17, Amanda J Cox18, Nicholas P West18, Allan William Cripps18, Klaus Schughart19,20, Andrea de Maria21,22, Damien Chaussabel23, Jonathan Iredell24, Stephen Weng25.   

Abstract

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. © 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.

Entities:  

Keywords:  COVID-19; adult intensive & critical care; immunology; molecular diagnostics

Year:  2021        PMID: 33408218     DOI: 10.1136/bmjopen-2020-044497

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


  3 in total

1.  Sera Metabolomics Characterization of Patients at Different Stages in Wuhan Identifies Critical Biomarkers of COVID-19.

Authors:  Meijia Gu; Huaqin Pan; Yuncong Yuan; Xuemin Zhou; Luojia Chen; Xingran Wang; Fang Fang; Liu Hu; Yaxuan Xie; Chao Shen
Journal:  Front Cell Infect Microbiol       Date:  2022-05-02       Impact factor: 6.073

2.  Impact of COVID-19 social distancing on medical research from the perspective of postgraduate students: a cross-sectional online survey.

Authors:  Chen Dong; Zhou Yu; Wei Liu; Yu Zhang; Zhe Zhang; Lei Zhang; Zhiwei Cui; Xiao Fan; Yuhan Zhu; Han Peng; Botao Gao; Xianjie Ma
Journal:  PeerJ       Date:  2022-05-12       Impact factor: 3.061

3.  Glutamine-Driven Metabolic Adaptation to COVID-19 Infection.

Authors:  Hüseyin Aydın; Yusuf Kenan Tekin; İlhan Korkmaz; Gülaçan Tekin; Sefa Yurtbay; Sami Keleş; Nezih Hekim
Journal:  Indian J Clin Biochem       Date:  2022-04-08
  3 in total

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