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Integrated immunovirological profiling validates plasma SARS-CoV-2 RNA as an early predictor of COVID-19 mortality.
Brunet-Ratnasingham, Elsa; Anand, Sai Priya; Gantner, Pierre; Dyachenko, Alina; Moquin-Beaudry, Gaël; Brassard, Nathalie; Beaudoin-Bussières, Guillaume; Pagliuzza, Amélie; Gasser, Romain; Benlarbi, Mehdi; Point, Floriane; Prévost, Jérémie; Laumaea, Annemarie; Niessl, Julia; Nayrac, Manon; Sannier, Gérémy; Orban, Catherine; Messier-Peet, Marc; Butler-Laporte, Guillaume; Morrison, David R; Zhou, Sirui; Nakanishi, Tomoko; Boutin, Marianne; Descôteaux-Dinelle, Jade; Gendron-Lepage, Gabrielle; Goyette, Guillaume; Bourassa, Catherine; Medjahed, Halima; Laurent, Laetitia; Rébillard, Rose-Marie; Richard, Jonathan; Dubé, Mathieu; Fromentin, Rémi; Arbour, Nathalie; Prat, Alexandre; Larochelle, Catherine; Durand, Madeleine; Richards, J Brent; Chassé, Michaël; Tétreault, Martine; Chomont, Nicolas; Finzi, Andrés; Kaufmann, Daniel E.
Afiliação
  • Brunet-Ratnasingham E; Research Centre of the Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada.
  • Anand SP; Département de Microbiologie, Infectiologie et Immunologie, Université de Montréal, Montréal, QC, Canada.
  • Gantner P; Research Centre of the Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada.
  • Dyachenko A; Department of Microbiology and Immunology, McGill University, Montréal, QC, Canada.
  • Moquin-Beaudry G; Research Centre of the Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada.
  • Brassard N; Département de Microbiologie, Infectiologie et Immunologie, Université de Montréal, Montréal, QC, Canada.
  • Beaudoin-Bussières G; Research Centre of the Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada.
  • Pagliuzza A; Research Centre of the Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada.
  • Gasser R; Department of Neuroscience, Université de Montréal, Montréal, QC, Canada.
  • Benlarbi M; Research Centre of the Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada.
  • Point F; Research Centre of the Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada.
  • Prévost J; Département de Microbiologie, Infectiologie et Immunologie, Université de Montréal, Montréal, QC, Canada.
  • Laumaea A; Research Centre of the Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada.
  • Niessl J; Research Centre of the Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada.
  • Nayrac M; Research Centre of the Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada.
  • Sannier G; Research Centre of the Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada.
  • Orban C; Research Centre of the Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada.
  • Messier-Peet M; Département de Microbiologie, Infectiologie et Immunologie, Université de Montréal, Montréal, QC, Canada.
  • Butler-Laporte G; Research Centre of the Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada.
  • Morrison DR; Research Centre of the Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada.
  • Zhou S; Département de Microbiologie, Infectiologie et Immunologie, Université de Montréal, Montréal, QC, Canada.
  • Nakanishi T; Research Centre of the Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada.
  • Boutin M; Département de Microbiologie, Infectiologie et Immunologie, Université de Montréal, Montréal, QC, Canada.
  • Descôteaux-Dinelle J; Research Centre of the Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada.
  • Gendron-Lepage G; Département de Microbiologie, Infectiologie et Immunologie, Université de Montréal, Montréal, QC, Canada.
  • Goyette G; Département de Microbiologie, Infectiologie et Immunologie, Université de Montréal, Montréal, QC, Canada.
  • Bourassa C; Centre hospitalier de l'Université de Montréal (CHUM), Montréal, QC, Canada.
  • Medjahed H; Research Centre of the Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada.
  • Laurent L; Centre hospitalier de l'Université de Montréal (CHUM), Montréal, QC, Canada.
  • Rébillard RM; Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, QC, Canada.
  • Richard J; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada.
  • Dubé M; Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, QC, Canada.
  • Fromentin R; Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, QC, Canada.
  • Arbour N; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada.
  • Prat A; Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, QC, Canada.
  • Larochelle C; Department of Human Genetics, McGill University, Montreal, QC, Canada.
  • Durand M; Kyoto-McGill International Collaborative School in Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
  • Richards JB; Japan Society for the Promotion of Science, 5-3-1 Kojimachi, Chiyoda-ku, 102-0083 Tokyo, Japan.
  • Chassé M; Research Centre of the Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada.
  • Tétreault M; Département de Microbiologie, Infectiologie et Immunologie, Université de Montréal, Montréal, QC, Canada.
  • Chomont N; Research Centre of the Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada.
  • Finzi A; Département de Microbiologie, Infectiologie et Immunologie, Université de Montréal, Montréal, QC, Canada.
  • Kaufmann DE; Research Centre of the Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada.
Sci Adv ; 7(48): eabj5629, 2021 Nov 26.
Article em En | MEDLINE | ID: mdl-34826237
Despite advances in COVID-19 management, identifying patients evolving toward death remains challenging. To identify early predictors of mortality within 60 days of symptom onset (DSO), we performed immunovirological assessments on plasma from 279 individuals. On samples collected at DSO11 in a discovery cohort, high severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral RNA (vRNA), low receptor binding domain­specific immunoglobulin G and antibody-dependent cellular cytotoxicity, and elevated cytokines and tissue injury markers were strongly associated with mortality, including in patients on mechanical ventilation. A three-variable model of vRNA, with predefined adjustment by age and sex, robustly identified patients with fatal outcome (adjusted hazard ratio for log-transformed vRNA = 3.5). This model remained robust in independent validation and confirmation cohorts. Since plasma vRNA's predictive accuracy was maintained at earlier time points, its quantitation can help us understand disease heterogeneity and identify patients who may benefit from new therapies.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article