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

Niv Samuel Mastboim; Alon Angel; Oded Shaham; Tahel Ilan Ber; Roy Navon; Einav Simon; Michal Rosenberg; Yael Israeli; Mary Hainrichson; Noa Avni; Eran Reiner; Paul Feigin; Kfir Oved; Boaz Tadmor; Pierre Singer; Ilya Kagan; Shaul Lev; Dror Diker; Amir Jarjou'I; Ramzi Kurd; Eli Ben-Chetrit; Guy Danziger; Sina A. Tegethoff; Cihan Papan; Sergey Motov; Ma'anit Shapira; Michal Stein; Tanya M. Gottlieb; Eran Eden; Adi Klein

doi:10.1016/j.cyto.2023.156246

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

Niv Samuel Mastboim, Alon Angel, Oded Shaham, Tahel Ilan Ber, Roy Navon, Einav Simon, Michal Rosenberg, Yael Israeli, Mary Hainrichson, Noa Avni, Eran Reiner, Paul Feigin, Kfir Oved, Boaz Tadmor, Pierre Singer, Ilya Kagan, Shaul Lev, Dror Diker, Amir Jarjou'I, Ramzi KurdEli Ben-Chetrit, Guy Danziger, Sina A. Tegethoff, Cihan Papan, Sergey Motov, Ma'anit Shapira, Michal Stein, Tanya M. Gottlieb^*, Eran Eden, Adi Klein

^*Corresponding author for this work

Pediatrics

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

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.

Original language	English
Article number	156246
Journal	Cytokine
Volume	169
DOIs	https://doi.org/10.1016/j.cyto.2023.156246
State	Published - Sep 2023

Keywords

COVID-19 disease severity prediction
Emergency Department
Host-immune protein score
SARS-CoV-2

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.cyto.2023.156246

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Mastboim, N. S., Angel, A., Shaham, O., Ber, T. I., Navon, R., Simon, E., Rosenberg, M., Israeli, Y., Hainrichson, M., Avni, N., Reiner, E., Feigin, P., Oved, K., Tadmor, B., Singer, P., Kagan, I., Lev, S., Diker, D., Jarjou'I, A., ... Klein, A. (2023). An immune-protein score combining TRAIL, IP-10 and CRP for predicting severe COVID-19 disease. Cytokine, 169, Article 156246. https://doi.org/10.1016/j.cyto.2023.156246

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

abstract = "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.",

keywords = "COVID-19 disease severity prediction, Emergency Department, Host-immune protein score, SARS-CoV-2",

author = "Mastboim, {Niv Samuel} and Alon Angel and Oded Shaham and Ber, {Tahel Ilan} and Roy Navon and Einav Simon and Michal Rosenberg and Yael Israeli and Mary Hainrichson and Noa Avni and Eran Reiner and Paul Feigin and Kfir Oved and Boaz Tadmor and Pierre Singer and Ilya Kagan and Shaul Lev and Dror Diker and Amir Jarjou'I and Ramzi Kurd and Eli Ben-Chetrit and Guy Danziger and Tegethoff, {Sina A.} and Cihan Papan and Sergey Motov and Ma'anit Shapira and Michal Stein and Gottlieb, {Tanya M.} and Eran Eden and Adi Klein",

note = "Publisher Copyright: {\textcopyright} 2023 The Author(s)",

year = "2023",

month = sep,

doi = "10.1016/j.cyto.2023.156246",

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Mastboim, NS, Angel, A, Shaham, O, Ber, TI, Navon, R, Simon, E, Rosenberg, M, Israeli, Y, Hainrichson, M, Avni, N, Reiner, E, Feigin, P, Oved, K, Tadmor, B, Singer, P , Kagan, I, Lev, S, Diker, D, Jarjou'I, A, Kurd, R, Ben-Chetrit, E, Danziger, G, Tegethoff, SA, Papan, C, Motov, S, Shapira, M, Stein, M, Gottlieb, TM, Eden, E & Klein, A 2023, 'An immune-protein score combining TRAIL, IP-10 and CRP for predicting severe COVID-19 disease', Cytokine, vol. 169, 156246. https://doi.org/10.1016/j.cyto.2023.156246

TY - JOUR

T1 - An immune-protein score combining TRAIL, IP-10 and CRP for predicting severe COVID-19 disease

AU - Mastboim, Niv Samuel

AU - Angel, Alon

AU - Shaham, Oded

AU - Ber, Tahel Ilan

AU - Navon, Roy

AU - Simon, Einav

AU - Rosenberg, Michal

AU - Israeli, Yael

AU - Hainrichson, Mary

AU - Avni, Noa

AU - Reiner, Eran

AU - Feigin, Paul

AU - Oved, Kfir

AU - Tadmor, Boaz

AU - Singer, Pierre

AU - Kagan, Ilya

AU - Lev, Shaul

AU - Diker, Dror

AU - Jarjou'I, Amir

AU - Kurd, Ramzi

AU - Ben-Chetrit, Eli

AU - Danziger, Guy

AU - Tegethoff, Sina A.

AU - Papan, Cihan

AU - Motov, Sergey

AU - Shapira, Ma'anit

AU - Stein, Michal

AU - Gottlieb, Tanya M.

AU - Eden, Eran

AU - Klein, Adi

PY - 2023/9

Y1 - 2023/9

N2 - 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.

AB - 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.

KW - COVID-19 disease severity prediction

KW - Emergency Department

KW - Host-immune protein score

KW - SARS-CoV-2

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JO - Cytokine

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M1 - 156246

ER -

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

Abstract

Keywords

UN SDGs

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