Prognostic and Predictive Biomarkers in Patients With Coronavirus Disease 2019 Treated With Tocilizumab in a Randomized Controlled Trial

Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the Society of Critical Care Medicine and Wolters Kluwer Health, Inc..

OBJECTIVES: To explore candidate prognostic and predictive biomarkers identified in retrospective observational studies (interleukin-6, C-reactive protein, lactate dehydrogenase, ferritin, lymphocytes, monocytes, neutrophils, d-dimer, and platelets) in patients with coronavirus disease 2019 pneumonia after treatment with tocilizumab, an anti-interleukin-6 receptor antibody, using data from the COVACTA trial in patients hospitalized with severe coronavirus disease 2019 pneumonia.

DESIGN: Exploratory analysis from a multicenter, randomized, double-blind, placebo-controlled, phase 3 trial.

SETTING: Hospitals in North America and Europe.

PATIENTS: Adults hospitalized with severe coronavirus disease 2019 pneumonia receiving standard care.

INTERVENTION: Randomly assigned 2:1 to IV tocilizumab 8 mg/kg or placebo.

MEASUREMENTS AND MAIN RESULTS: Candidate biomarkers were measured in 295 patients in the tocilizumab arm and 142 patients in the placebo arm. Efficacy outcomes assessed were clinical status on a seven-category ordinal scale (1, discharge; 7, death), mortality, time to hospital discharge, and mechanical ventilation (if not receiving it at randomization) through day 28. Prognostic and predictive biomarkers were evaluated continuously with proportional odds, binomial or Fine-Gray models, and additional sensitivity analyses. Modeling in the placebo arm showed all candidate biomarkers except lactate dehydrogenase and d-dimer were strongly prognostic for day 28 clinical outcomes of mortality, mechanical ventilation, clinical status, and time to hospital discharge. Modeling in the tocilizumab arm showed a predictive value of ferritin for day 28 clinical outcomes of mortality (predictive interaction, p = 0.03), mechanical ventilation (predictive interaction, p = 0.01), and clinical status (predictive interaction, p = 0.02) compared with placebo.

CONCLUSIONS: Multiple biomarkers prognostic for clinical outcomes were confirmed in COVACTA. Ferritin was identified as a predictive biomarker for the effects of tocilizumab in the COVACTA patient population; high ferritin levels were associated with better clinical outcomes for tocilizumab compared with placebo at day 28.

Errataetall:

CommentIn: Crit Care Med. 2022 Mar 1;50(3):510-513. - PMID 35191872

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:50

Enthalten in:

Critical care medicine - 50(2022), 3 vom: 01. März, Seite 398-409

Sprache:

Englisch

Beteiligte Personen:

Tom, Jennifer [VerfasserIn]
Bao, Min [VerfasserIn]
Tsai, Larry [VerfasserIn]
Qamra, Aditi [VerfasserIn]
Summers, David [VerfasserIn]
Carrasco-Triguero, Montserrat [VerfasserIn]
McBride, Jacqueline [VerfasserIn]
Rosenberger, Carrie M [VerfasserIn]
Lin, Celia J F [VerfasserIn]
Stubbings, William [VerfasserIn]
Blyth, Kevin G [VerfasserIn]
Carratalà, Jordi [VerfasserIn]
François, Bruno [VerfasserIn]
Benfield, Thomas [VerfasserIn]
Haslem, Derrick [VerfasserIn]
Bonfanti, Paolo [VerfasserIn]
van der Leest, Cor H [VerfasserIn]
Rohatgi, Nidhi [VerfasserIn]
Wiese, Lothar [VerfasserIn]
Luyt, Charles Edouard [VerfasserIn]
Kheradmand, Farrah [VerfasserIn]
Rosas, Ivan O [VerfasserIn]
Cai, Fang [VerfasserIn]

Links:

Volltext

Themen:

Antibodies, Monoclonal, Humanized
Biomarkers
Clinical Trial, Phase III
I031V2H011
Inflammation Mediators
Journal Article
Multicenter Study
Randomized Controlled Trial
Tocilizumab

Anmerkungen:

Date Completed 02.03.2022

Date Revised 06.02.2024

published: Print

ClinicalTrials.gov: NCT04320615, NCT04363736

CommentIn: Crit Care Med. 2022 Mar 1;50(3):510-513. - PMID 35191872

Citation Status MEDLINE

doi:

10.1097/CCM.0000000000005229

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM331539144