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An immune-protein score combining TRAIL, IP-10 and CRP for predicting severe COVID-19 disease

COVID-19 patients are oftentimes over- or under-treated due to a deficit in predictive management tools. This study reports derivation of an algorithm that integrates the host levels of TRAIL, IP-10, and CRP into a single numeric score that is an early indicator of severe outcome for COVID-19 patien...

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Autores principales: Mastboim, Niv Samuel, Angel, Alon, Shaham, Oded, Ber, Tahel Ilan, Navon, Roy, Simon, Einav, Rosenberg, Michal, Israeli, Yael, Hainrichson, Mary, Avni, Noa, Reiner, Eran, Feigin, Paul, Oved, Kfir, Tadmor, Boaz, Singer, Pierre, Kagan, Ilya, Lev, Shaul, Diker, Dror, Jarjou'I, Amir, Kurd, Ramzi, Ben-Chetrit, Eli, Danziger, Guy, Tegethoff, Sina A., Papan, Cihan, Motov, Sergey, Shapira, Ma'anit, Stein, Michal, Gottlieb, Tanya M., Eden, Eran, Klein, Adi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10235675/
https://www.ncbi.nlm.nih.gov/pubmed/37327532
http://dx.doi.org/10.1016/j.cyto.2023.156246
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author Mastboim, Niv Samuel
Angel, Alon
Shaham, Oded
Ber, Tahel Ilan
Navon, Roy
Simon, Einav
Rosenberg, Michal
Israeli, Yael
Hainrichson, Mary
Avni, Noa
Reiner, Eran
Feigin, Paul
Oved, Kfir
Tadmor, Boaz
Singer, Pierre
Kagan, Ilya
Lev, Shaul
Diker, Dror
Jarjou'I, Amir
Kurd, Ramzi
Ben-Chetrit, Eli
Danziger, Guy
Tegethoff, Sina A.
Papan, Cihan
Motov, Sergey
Shapira, Ma'anit
Stein, Michal
Gottlieb, Tanya M.
Eden, Eran
Klein, Adi
author_facet Mastboim, Niv Samuel
Angel, Alon
Shaham, Oded
Ber, Tahel Ilan
Navon, Roy
Simon, Einav
Rosenberg, Michal
Israeli, Yael
Hainrichson, Mary
Avni, Noa
Reiner, Eran
Feigin, Paul
Oved, Kfir
Tadmor, Boaz
Singer, Pierre
Kagan, Ilya
Lev, Shaul
Diker, Dror
Jarjou'I, Amir
Kurd, Ramzi
Ben-Chetrit, Eli
Danziger, Guy
Tegethoff, Sina A.
Papan, Cihan
Motov, Sergey
Shapira, Ma'anit
Stein, Michal
Gottlieb, Tanya M.
Eden, Eran
Klein, Adi
author_sort Mastboim, Niv Samuel
collection PubMed
description COVID-19 patients are oftentimes over- or under-treated due to a deficit in predictive management tools. This study reports derivation of an algorithm that integrates the host levels of TRAIL, IP-10, and CRP into a single numeric score that is an early indicator of severe outcome for COVID-19 patients and can identify patients at-risk to deteriorate. 394 COVID-19 patients were eligible; 29% meeting a severe outcome (intensive care unit admission/non-invasive or invasive ventilation/death). The score’s area under the receiver operating characteristic curve (AUC) was 0.86, superior to IL-6 (AUC 0.77; p = 0.033) and CRP (AUC 0.78; p < 0.001). Likelihood of severe outcome increased significantly (p < 0.001) with higher scores. The score differentiated severe patients who further deteriorated from those who improved (p = 0.004) and projected 14-day survival probabilities (p < 0.001). The score accurately predicted COVID-19 patients at-risk for severe outcome, and therefore has potential to facilitate timely care escalation and de-escalation and appropriate resource allocation.
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spelling pubmed-102356752023-06-02 An immune-protein score combining TRAIL, IP-10 and CRP for predicting severe COVID-19 disease Mastboim, Niv Samuel Angel, Alon Shaham, Oded Ber, Tahel Ilan Navon, Roy Simon, Einav Rosenberg, Michal Israeli, Yael Hainrichson, Mary Avni, Noa Reiner, Eran Feigin, Paul Oved, Kfir Tadmor, Boaz Singer, Pierre Kagan, Ilya Lev, Shaul Diker, Dror Jarjou'I, Amir Kurd, Ramzi Ben-Chetrit, Eli Danziger, Guy Tegethoff, Sina A. Papan, Cihan Motov, Sergey Shapira, Ma'anit Stein, Michal Gottlieb, Tanya M. Eden, Eran Klein, Adi Cytokine Article COVID-19 patients are oftentimes over- or under-treated due to a deficit in predictive management tools. This study reports derivation of an algorithm that integrates the host levels of TRAIL, IP-10, and CRP into a single numeric score that is an early indicator of severe outcome for COVID-19 patients and can identify patients at-risk to deteriorate. 394 COVID-19 patients were eligible; 29% meeting a severe outcome (intensive care unit admission/non-invasive or invasive ventilation/death). The score’s area under the receiver operating characteristic curve (AUC) was 0.86, superior to IL-6 (AUC 0.77; p = 0.033) and CRP (AUC 0.78; p < 0.001). Likelihood of severe outcome increased significantly (p < 0.001) with higher scores. The score differentiated severe patients who further deteriorated from those who improved (p = 0.004) and projected 14-day survival probabilities (p < 0.001). The score accurately predicted COVID-19 patients at-risk for severe outcome, and therefore has potential to facilitate timely care escalation and de-escalation and appropriate resource allocation. The Author(s). Published by Elsevier Ltd. 2023-09 2023-06-02 /pmc/articles/PMC10235675/ /pubmed/37327532 http://dx.doi.org/10.1016/j.cyto.2023.156246 Text en © 2023 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Mastboim, Niv Samuel
Angel, Alon
Shaham, Oded
Ber, Tahel Ilan
Navon, Roy
Simon, Einav
Rosenberg, Michal
Israeli, Yael
Hainrichson, Mary
Avni, Noa
Reiner, Eran
Feigin, Paul
Oved, Kfir
Tadmor, Boaz
Singer, Pierre
Kagan, Ilya
Lev, Shaul
Diker, Dror
Jarjou'I, Amir
Kurd, Ramzi
Ben-Chetrit, Eli
Danziger, Guy
Tegethoff, Sina A.
Papan, Cihan
Motov, Sergey
Shapira, Ma'anit
Stein, Michal
Gottlieb, Tanya M.
Eden, Eran
Klein, Adi
An immune-protein score combining TRAIL, IP-10 and CRP for predicting severe COVID-19 disease
title An immune-protein score combining TRAIL, IP-10 and CRP for predicting severe COVID-19 disease
title_full An immune-protein score combining TRAIL, IP-10 and CRP for predicting severe COVID-19 disease
title_fullStr An immune-protein score combining TRAIL, IP-10 and CRP for predicting severe COVID-19 disease
title_full_unstemmed An immune-protein score combining TRAIL, IP-10 and CRP for predicting severe COVID-19 disease
title_short An immune-protein score combining TRAIL, IP-10 and CRP for predicting severe COVID-19 disease
title_sort immune-protein score combining trail, ip-10 and crp for predicting severe covid-19 disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10235675/
https://www.ncbi.nlm.nih.gov/pubmed/37327532
http://dx.doi.org/10.1016/j.cyto.2023.156246
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