Effect of viral storm in patients admitted to intensive care units with severe COVID-19 in Spain: a multicentre, prospective, cohort study.
Journal
The Lancet. Microbe
ISSN: 2666-5247
Titre abrégé: Lancet Microbe
Pays: England
ID NLM: 101769019
Informations de publication
Date de publication:
06 2023
06 2023
Historique:
received:
11
08
2022
revised:
09
01
2023
accepted:
08
02
2023
medline:
5
6
2023
pubmed:
29
4
2023
entrez:
28
4
2023
Statut:
ppublish
Résumé
The contribution of the virus to the pathogenesis of severe COVID-19 is still unclear. We aimed to evaluate associations between viral RNA load in plasma and host response, complications, and deaths in critically ill patients with COVID-19. We did a prospective cohort study across 23 hospitals in Spain. We included patients aged 18 years or older with laboratory-confirmed SARS-CoV-2 infection who were admitted to an intensive care unit between March 16, 2020, and Feb 27, 2021. RNA of the SARS-CoV-2 nucleocapsid region 1 (N1) was quantified in plasma samples collected from patients in the first 48 h following admission, using digital PCR. Patients were grouped on the basis of N1 quantity: VIR-N1-Zero (<1 N1 copies per mL), VIR-N1-Low (1-2747 N1 copies per mL), and VIR-N1-Storm (>2747 N1 copies per mL). The primary outcome was all-cause death within 90 days after admission. We evaluated odds ratios (ORs) for the primary outcome between groups using a logistic regression analysis. 1068 patients met the inclusion criteria, of whom 117 had insufficient plasma samples and 115 had key information missing. 836 patients were included in the analysis, of whom 403 (48%) were in the VIR-N1-Low group, 283 (34%) were in the VIR-N1-Storm group, and 150 (18%) were in the VIR-N1-Zero group. Overall, patients in the VIR-N1-Storm group had the most severe disease: 266 (94%) of 283 patients received invasive mechanical ventilation (IMV), 116 (41%) developed acute kidney injury, 180 (65%) had secondary infections, and 148 (52%) died within 90 days. Patients in the VIR-N1-Zero group had the least severe disease: 81 (54%) of 150 received IMV, 34 (23%) developed acute kidney injury, 47 (32%) had secondary infections, and 26 (17%) died within 90 days (OR for death 0·30, 95% CI 0·16-0·55; p<0·0001, compared with the VIR-N1-Storm group). 106 (26%) of 403 patients in the VIR-N1-Low group died within 90 days (OR for death 0·39, 95% CI 0·26-0·57; p<0·0001, compared with the VIR-N1-Storm group). The presence of a so-called viral storm is associated with increased all-cause death in patients admitted to the intensive care unit with severe COVID-19. Preventing this viral storm could help to reduce poor outcomes. Viral storm could be an enrichment marker for treatment with antivirals or purification devices to remove viral components from the blood. Instituto de Salud Carlos III, Canadian Institutes of Health Research, Li Ka-Shing Foundation, Research Nova Scotia, and European Society of Clinical Microbiology and Infectious Diseases. For the Spanish translation of the abstract see Supplementary Materials section.
Sections du résumé
BACKGROUND
The contribution of the virus to the pathogenesis of severe COVID-19 is still unclear. We aimed to evaluate associations between viral RNA load in plasma and host response, complications, and deaths in critically ill patients with COVID-19.
METHODS
We did a prospective cohort study across 23 hospitals in Spain. We included patients aged 18 years or older with laboratory-confirmed SARS-CoV-2 infection who were admitted to an intensive care unit between March 16, 2020, and Feb 27, 2021. RNA of the SARS-CoV-2 nucleocapsid region 1 (N1) was quantified in plasma samples collected from patients in the first 48 h following admission, using digital PCR. Patients were grouped on the basis of N1 quantity: VIR-N1-Zero (<1 N1 copies per mL), VIR-N1-Low (1-2747 N1 copies per mL), and VIR-N1-Storm (>2747 N1 copies per mL). The primary outcome was all-cause death within 90 days after admission. We evaluated odds ratios (ORs) for the primary outcome between groups using a logistic regression analysis.
FINDINGS
1068 patients met the inclusion criteria, of whom 117 had insufficient plasma samples and 115 had key information missing. 836 patients were included in the analysis, of whom 403 (48%) were in the VIR-N1-Low group, 283 (34%) were in the VIR-N1-Storm group, and 150 (18%) were in the VIR-N1-Zero group. Overall, patients in the VIR-N1-Storm group had the most severe disease: 266 (94%) of 283 patients received invasive mechanical ventilation (IMV), 116 (41%) developed acute kidney injury, 180 (65%) had secondary infections, and 148 (52%) died within 90 days. Patients in the VIR-N1-Zero group had the least severe disease: 81 (54%) of 150 received IMV, 34 (23%) developed acute kidney injury, 47 (32%) had secondary infections, and 26 (17%) died within 90 days (OR for death 0·30, 95% CI 0·16-0·55; p<0·0001, compared with the VIR-N1-Storm group). 106 (26%) of 403 patients in the VIR-N1-Low group died within 90 days (OR for death 0·39, 95% CI 0·26-0·57; p<0·0001, compared with the VIR-N1-Storm group).
INTERPRETATION
The presence of a so-called viral storm is associated with increased all-cause death in patients admitted to the intensive care unit with severe COVID-19. Preventing this viral storm could help to reduce poor outcomes. Viral storm could be an enrichment marker for treatment with antivirals or purification devices to remove viral components from the blood.
FUNDING
Instituto de Salud Carlos III, Canadian Institutes of Health Research, Li Ka-Shing Foundation, Research Nova Scotia, and European Society of Clinical Microbiology and Infectious Diseases.
TRANSLATION
For the Spanish translation of the abstract see Supplementary Materials section.
Identifiants
pubmed: 37116517
pii: S2666-5247(23)00041-1
doi: 10.1016/S2666-5247(23)00041-1
pmc: PMC10129133
pii:
doi:
Types de publication
Multicenter Study
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e431-e441Subventions
Organisme : CIHR
ID : OV2–170357
Pays : Canada
Investigateurs
Alicia Ortega
(A)
Amanda de la Fuente
(A)
Raquel Almansa
(R)
Tamara Postigo
(T)
Noelia Jorge
(N)
Ana P Tedim
(AP)
Laura González-González
(L)
Lara Sánchez Recio
(L)
Wysali Trapiello
(W)
José Ángel Berezo
(JÁ)
Rubén Herrán-Monge
(R)
Jesús Blanco
(J)
Pedro Enríquez
(P)
Isidoro Martínez
(I)
María Martín-Vicente
(M)
María José Muñoz-Gómez
(MJ)
Vicente Más
(V)
Mónica Vázquez
(M)
Olga Cano
(O)
Amalia Martínez de la Gándara
(A)
Covadonga Rodríguez
(C)
Gloria Andrade
(G)
Gloria Renedo
(G)
Juan Bustamante-Munguira
(J)
Ramón Cicuendez Ávila
(R)
María Salgado-Villén
(M)
Enrique Berruguilla-Pérez
(E)
Estel Güell
(E)
Fernando Javier Casadiego Monachello
(FJ)
María Recuerda Núñez
(M)
Juan Manuel Sánchez Calvo
(JM)
Yhivian Peñasco-Martín
(Y)
María Teresa García Unzueta
(MT)
Adrián Ceccato
(A)
Laia Fernández-Barat
(L)
María Teresa Bouza Vieiro
(MT)
Ana Moreno-Romero
(A)
Leire Pérez Bastida
(L)
Lorena Del Río-Carbajo
(L)
Noelia Albalá Martínez
(N)
José Manuel Gómez
(JM)
María Luisa Blasco
(ML)
Jesús Caballero
(J)
Carme Barberà
(C)
Jessica González
(J)
María Teresa Nieto
(MT)
Jorge Nieto-Del Olmo
(J)
Estefanía Prol-Silva
(E)
Joan Canseco-Ribas
(J)
Jose María Eiros
(JM)
Informations de copyright
Copyright © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of interests JFB-M, AT, FB, RA, JME, and APT have a patent application on SARS-CoV-2 antigenaemia as a predictor of mortality in COVID-19. All other authors declare no competing interests.
Références
J Infect Dis. 2022 Dec 13;226(12):2089-2094
pubmed: 35511031
Open Forum Infect Dis. 2021 Oct 06;8(11):ofab509
pubmed: 34796247
Emerg Microbes Infect. 2020 Dec;9(1):1175-1179
pubmed: 32448084
World J Clin Cases. 2021 Aug 26;9(24):6969-6978
pubmed: 34540952
Lancet Rheumatol. 2022 Feb;4(2):e135-e144
pubmed: 34873587
J Med Virol. 2022 Jan;94(1):222-228
pubmed: 34449894
N Engl J Med. 2020 Dec 3;383(23):2255-2273
pubmed: 33264547
Clin Microbiol Infect. 2022 Oct;28(10):1391.e1-1391.e5
pubmed: 35654316
PLoS Biol. 2022 Jun 1;20(6):e3001687
pubmed: 35648781
Lancet Infect Dis. 2019 Dec;19(12):e422-e436
pubmed: 31630991
Clin Infect Dis. 2022 Jan 29;74(2):218-226
pubmed: 33949665
Nat Microbiol. 2021 Oct;6(10):1245-1258
pubmed: 34465900
Clin Infect Dis. 2022 May 3;74(9):1525-1533
pubmed: 34374761
Lancet Respir Med. 2020 Dec;8(12):1233-1244
pubmed: 33075298
Arch Bronconeumol. 2022 Apr;58 Suppl 1:22-31
pubmed: 35491287
Crit Care. 2022 Mar 21;26(1):63
pubmed: 35313934
Clin Infect Dis. 2022 Aug 24;75(1):e410-e417
pubmed: 34894121
Crit Care. 2020 Dec 14;24(1):691
pubmed: 33317616
JAMA. 2020 Sep 3;:
pubmed: 32880615
Clin Infect Dis. 2020 Jul 28;71(15):793-798
pubmed: 32221523
Viruses. 2022 Jun 14;14(6):
pubmed: 35746764
Clin Infect Dis. 2020 Nov 5;71(8):1937-1942
pubmed: 32301997
Nat Commun. 2021 Jun 7;12(1):3406
pubmed: 34099652
Emerg Microbes Infect. 2020 Dec;9(1):1259-1268
pubmed: 32438868
Lancet Microbe. 2021 Jun;2(6):e228-e229
pubmed: 33880456
Cell Rep. 2022 Jun 28;39(13):111002
pubmed: 35714615
Sci Rep. 2021 Mar 30;11(1):7163
pubmed: 33785784
Clin Infect Dis. 2021 Nov 2;73(9):e2890-e2897
pubmed: 32803231
J Heart Lung Transplant. 2020 May;39(5):405-407
pubmed: 32362390