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Enregistrement W3037719485 · doi:10.1111/bjh.16961

Amelioration of COVID‐19‐related cytokine storm syndrome: parallels to chimeric antigen receptor‐T cell cytokine release syndrome

2020· article· en· W3037719485 sur OpenAlexafffundabout
Ryan L. Hoiland, Sophie Stukas, Jennifer Cooper, Sonny Thiara, Luke Y. C. Chen, Catherine M. Biggs, Kevin A. Hay, Agnes Lee, Kam Shojania, Alym Abdulla, Cheryl L. Wellington, Mypinder S. Sekhon

Notice bibliographique

RevueBritish Journal of Haematology · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueCAR-T cell therapy research
Établissements canadiensInternational Collaboration On Repair DiscoveriesUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Organismes subventionnairesVancouver Coastal Health Research Institute
Mots-clésCytokine release syndromeCytokine stormChimeric antigen receptorCytokineCoronavirus disease 2019 (COVID-19)ImmunologySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Cytokine receptorMedicineReceptor2019-20 coronavirus outbreakVirologyImmunotherapyImmune systemInternal medicineInfectious disease (medical specialty)Disease

Résumé

récupéré en direct d'OpenAlex

Coronavirus disease 2019 (COVID-19) severity appears to parallel the host immune response, with a subset of patients developing COVID-19 cytokine storm syndrome (CSS).1 Serum inflammatory cytokines are elevated in COVID-192-5 and interleukin 6 (IL-6) appears to play a central role in COVID-19-related CSS.6-8 Based on the success of IL-6-receptor blockade for chimeric antigen receptor T-cell therapy associated cytokine release syndrome (CAR-T cell CRS), similar strategies using tocilizumab are being investigated in COVID-19. However, early reports described only modest elevations of IL-6 of approximately 50 pg/ml (reference range <7 pg/ml) in severe COVID-192-4, 9 compared to IL-6 levels often >10 000 pg/l in CAR-T cell CRS,10 leading authors to conclude that COVID-19 pathophysiology is attributable to alternate mechanisms apart from CSS.11 Two central mechanistic considerations may help resolve this controversy. First, determining if COVID-19 is associated with markedly elevated IL-6, in the range seen in CAR-T cell CRS, is crucial. Second, current trials are focussing on mortality and ventilation endpoints, but data pertaining to the effect of IL-receptor blockade on inflammatory cytokine levels and cardiorespiratory outcomes are needed to established biological efficacy. We therefore conducted a preliminary evaluation of tocilizumab on inflammatory cytokines including IL-1β, IL-6, IL-10 and tumour necrosis factor alpha (TNF-α), and physiological parameters in five consecutive patients with severe COVID-19 CSS. Study approval was obtained from the institutional research ethics board. Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection was confirmed by real-time reverse transcription polymerase chain reaction from a tracheal aspirate. All patients underwent invasive mechanical ventilation and were diagnosed with acute respiratory distress syndrome (ARDS).12 Two patients required veno–venous extracorporeal membrane oxygenation (VV-ECMO) for refractory hypoxaemia. Tocilizumab was administered (single 400 mg dose)13 as part of clinical care, based on objective manifestations of COVID-19 CSS: (i) COVID-19 pneumonia requiring mechanical ventilation; (ii) fever (Tmax >38°C); (iii) C-reactive protein (CRP) >100 mg/l; and (iv) peak ferritin >1000 μg/l. Serum was analysed for IL-1β, IL-6, IL-10 and TNF-α using the Quanterix® Single Molecule Array (Simoa®) HD-1 analytical platform daily between 08:00 and 09:00 hours.14 Routine clinical laboratory data including full blood count, D-dimer (μg/l), CRP (mg/l), ferritin (μg/l), CD4/CD8 ratio, CD4 (%) and CD8 (%) were collected. Changes in IL-1β, IL-6, IL-10, TNF-α, and CRP were assessed using the Friedman's test, with a Wilcoxon signed-ranks test for post hoc comparisons (α = 0·05). Four patients were male and one was female. The median (range) age was 61 (32–73) years and body mass was 70 (67–75) kg. Four patients presented to hospital with symptoms of fever, all five with cough, and two with headache. All five of the patients had lymphopenia [median (range) 0·6 (0·3–0·8)× 109 cells] and elevated D-dimer [median (range) 2640 (630–7000) μg/l], ferritin [median (range) 2932 (1051–5638) μg/l] and CRP [median (range) 225 (126–374) mg/l]. The admission median (range) CD4 and CD8 percentages were 42 (35–53)% and 25 (16–33)% respectively, while the CD4/CD8 ratio was 1·46 (1·15–2·69). All patients had markedly increased peak serum IL-6 levels during the course of observation [median (range) 2023 (360–13140) pg/ml] (Fig 1), commensurate in magnitude to that observed with CAR-T cell CRS.10 Tocilizumab was administered at a median (range) of 2 (1–7) days following mechanical ventilation and was associated with significant reductions in IL-6 (P = 0·027), IL-10 (P = 0·009), TNF-α (P = 0·012), as well as CRP (P < 0·001) (Fig 1). The lymphocyte count increased following tocilizumab administration, but was not statistically significant (+1·0 × 109 cells, 95% confidence interval −0·3 to 1·3; P = 0·063; Fig 1). Statistical analyses of pre- and post-tocilizumab administration D-dimer and ferritin were not conducted due to missing daily values. The ratio of arterial oxygen tension to fraction of inspired oxygen percentage (PaO2/FiO2), an index of pulmonary gas exchange efficiency, increased from a pre-treatment value of 123 (range 60–140) to 251 (range 147–310; P = 0·043) on day 6 following tocilizumab administration (Fig 2). Further, mean arterial pressure improved following tocilizumab on days 3 (P = 0·042), 4 (P = 0·042) and 6 (P = 0·041) (Fig 2), which was reflected in markedly decreased intravenous noradrenaline dose requirements. As of 2 June 2020, four of the patients have been discharged home and one died in the intensive care unit. Our case series provides evidence that patients with severe COVID-19 may exhibit hypercytokinaemia, in keeping with ranges described in CAR-T CRS. We further demonstrate reductions in serum inflammatory markers following tocilizumab administration that correlate with improved clinical parameters. Overall, these preliminary findings provide context for the biological plausibility of IL-6-receptor blockade in COVID-19 CSS. While tocilizumab has been used in IL-6-mediated inflammatory conditions, such as the CAR-T CRS,10 investigation of the potential efficacy of tocilizumab for treating COVID-19 to date has been limited to cohorts that are not critically ill (e.g. requiring mechanical ventilation13). To the best of our knowledge, our present case series is the first to demonstrate an association between tocilizumab administration and reductions in multiple key inflammatory cytokines and laboratory variables in the severe spectrum of critically ill patients with COVID-19 (requiring invasive mechanical ventilation and VV-ECMO). Importantly, all patients deemed to have COVID-19 CSS had markedly elevated IL-6 levels, as high as 13 140 pg/ml, which to our knowledge is one of the highest serum IL-6 values reported in a patient with COVID-19 (Fig 1).15 A recent case study on a single patient with COVID-19 with ARDS recorded extreme elevations of IL-6 in peripheral blood (c. 34 000 pg/ml) and pleural fluid (c. 24 000 pg/ml),15 whereas the majority of studies report median IL-6 values of approximately 50 pg/ml in cohorts of patients with severe COVID-19.9 In fact, Chen et al.,3 reported a median (interquartile range) IL-6 value of 41.5 (24·8–114.2) pg/ml in an observational study of 'severe' COVID-19, the median of which is >20-fold lower than that of our present patients. The results of our present case series should not be used to unequivocally advocate for the use of tocilizumab in COVID-19, but instead provide context to upcoming and emerging trials of IL-6-receptor blockade. Attention should be given to defining COVID-19 CSS and elucidating the phenotype of patients most likely to benefit from IL-6-receptor blockade. Dr Sekhon is supported by the Vancouver Coastal Health Research Institute Clinician Scientist Award. This work was funded in part by the Vancouver General Hospital Foundation. Designed Research: Ryan L. Hoiland, Sophie Stukas, Jennifer Cooper, Cheryl L. Wellington, Mypinder S. Sekhon; Performed Research: Ryan L. Hoiland, Sophie Stukas, Jennifer Cooper, Sonny Thiara, Luke Y. C. Chen, Catherine M. Biggs, Kevin Hay, Agnes Y. Y. Lee, Kamran Shojania, Alym Abdulla, Cheryl L. Wellington, Mypinder S. Sekhon; Wrote the paper: Ryan L. Hoiland, Sophie Stukas, Jennifer Cooper, Luke Y. C. Chen, Cheryl L. Wellington, Mypinder S. Sekhon; Revision for critical intellectual content: Sonny Thiara, Catherine M. Biggs, Kevin Hay, Agnes Y. Y. Lee, Kamran Shojania, Alym Abdulla; Approval of final version: Ryan L. Hoiland, Sophie Stukas, Jennifer Cooper, Sonny Thiara, Luke Y. C. Chen, Catherine M. Biggs, Kevin Hay, Agnes Y. Y. Lee, Kamran Shojania, Alym Abdulla, Cheryl L. Wellington, Mypinder S. Sekhon. The authors declare no conflicts financial or otherwise.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,005

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,026
Tête enseignante GPT0,294
Écart entre enseignants0,268 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations40
Publié2020
Routes d'admission3
Résumé présentoui

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