A score combining early detection of cytokines accurately predicts COVID-19 severity and intensive care unit transfer
Copyright © 2020 The Author(s). Published by Elsevier Ltd.. All rights reserved..
OBJECTIVES: We aimed to explore cytokine profile in patients as it relates to Coronavirus Disease 2019 (COVID-19) severity, and to establish a predictive cytokine score to discriminate severe from non-severe cases and provide a prognosis parameter for patients that will require intensive care unit (ICU) transfer.
METHODS: Serum samples of 63 patients diagnosed with SARS-CoV-2 infection were collected early after hospital admission (day 0-3). Patients were categorized in five groups based on the clinical presentation, the PaO2/FiO2 ratio and the requirement of mechanical ventilation.
RESULTS: Three cytokines, IL-6, IL-8 and IL-10, were markedly higher in severe forms (n = 44) than in non-severe forms (n = 19) (p < 0.005). A score combining levels of these three cytokines (IL-6*IL-8*IL-10) had the highest performance to predict severity: sensitivity of 86.4% (95% CI, 72.4-94.8) and specificity of 94.7% (95% CI, 74.0-99.9) for a cutoff value of 2068 pg/mL. Elevated levels of IL-6, IL-8 and IL-10 were also found in critically ill patients. The combination of IL-6*IL-10 serum levels allowed the highest predictability for ICU transfer: AUC of 0.898 (p < 0.0001).
CONCLUSION: The combinatorial IL-6*IL-8*IL-10 score at presentation was highly predictive of the progression to a severe form of the disease, and could contribute to improve patient triage and to adapt therapeutic strategy within clinical trials more accurately and efficiently.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2020 |
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| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:101 |
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| Enthalten in: |
International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases - 101(2020) vom: 01. Dez., Seite 342-345 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Nagant, Carole [VerfasserIn] |
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| Links: |
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| Themen: |
COVID-19 |
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| Anmerkungen: |
Date Completed 22.12.2020 Date Revised 18.05.2021 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.ijid.2020.10.003 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM316095079 |
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| 100 | 1 | |a Nagant, Carole |e verfasserin |4 aut | |
| 245 | 1 | 2 | |a A score combining early detection of cytokines accurately predicts COVID-19 severity and intensive care unit transfer |
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| 500 | |a Date Revised 18.05.2021 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2020 The Author(s). Published by Elsevier Ltd.. All rights reserved. | ||
| 520 | |a OBJECTIVES: We aimed to explore cytokine profile in patients as it relates to Coronavirus Disease 2019 (COVID-19) severity, and to establish a predictive cytokine score to discriminate severe from non-severe cases and provide a prognosis parameter for patients that will require intensive care unit (ICU) transfer | ||
| 520 | |a METHODS: Serum samples of 63 patients diagnosed with SARS-CoV-2 infection were collected early after hospital admission (day 0-3). Patients were categorized in five groups based on the clinical presentation, the PaO2/FiO2 ratio and the requirement of mechanical ventilation | ||
| 520 | |a RESULTS: Three cytokines, IL-6, IL-8 and IL-10, were markedly higher in severe forms (n = 44) than in non-severe forms (n = 19) (p < 0.005). A score combining levels of these three cytokines (IL-6*IL-8*IL-10) had the highest performance to predict severity: sensitivity of 86.4% (95% CI, 72.4-94.8) and specificity of 94.7% (95% CI, 74.0-99.9) for a cutoff value of 2068 pg/mL. Elevated levels of IL-6, IL-8 and IL-10 were also found in critically ill patients. The combination of IL-6*IL-10 serum levels allowed the highest predictability for ICU transfer: AUC of 0.898 (p < 0.0001) | ||
| 520 | |a CONCLUSION: The combinatorial IL-6*IL-8*IL-10 score at presentation was highly predictive of the progression to a severe form of the disease, and could contribute to improve patient triage and to adapt therapeutic strategy within clinical trials more accurately and efficiently | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a COVID-19 | |
| 650 | 4 | |a Disease severity | |
| 650 | 4 | |a IL-6 | |
| 650 | 4 | |a Inflammatory cytokines | |
| 650 | 4 | |a Intensive care unit | |
| 650 | 4 | |a Prediction | |
| 650 | 7 | |a Cytokines |2 NLM | |
| 650 | 7 | |a Interleukins |2 NLM | |
| 700 | 1 | |a Ponthieux, Fanny |e verfasserin |4 aut | |
| 700 | 1 | |a Smet, Julie |e verfasserin |4 aut | |
| 700 | 1 | |a Dauby, Nicolas |e verfasserin |4 aut | |
| 700 | 1 | |a Doyen, Virginie |e verfasserin |4 aut | |
| 700 | 1 | |a Besse-Hammer, Tatiana |e verfasserin |4 aut | |
| 700 | 1 | |a De Bels, David |e verfasserin |4 aut | |
| 700 | 1 | |a Maillart, Evelyne |e verfasserin |4 aut | |
| 700 | 1 | |a Corazza, Francis |e verfasserin |4 aut | |
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