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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Ltd.
2023
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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. |
format | Online Article Text |
id | pubmed-10235675 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Author(s). Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
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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