Cytokine levels associated with favorable clinical outcome in the CAPSID randomized trial of convalescent plasma in patients with severe COVID-19
| Autor: | Körper, Sixten, Schrezenmeier, Eva Vanessa, Rincon-Arevalo, Hector, Grüner, Beate, Zickler, Daniel, Weiss, Manfred, Wiesmann, Thomas, Zacharowski, Kai, Kalbhenn, Johannes, Bentz, Martin, Dollinger, Matthias M., Paul, Gregor, Lepper, Philipp M., Ernst, Lucas, Wulf, Hinnerk, Zinn, Sebastian, Appl, Thomas, Jahrsdörfer, Bernd, Rojewski, Markus, Lotfi, Ramin, Dörner, Thomas, Jungwirth, Bettina, Seifried, Erhard, Fürst, Daniel, Schrezenmeier, Hubert |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
predictive factors
Therapieerfolg Immunology Becaplermin Randomized controlled trials as topic Capsid Granulocyte Colony-Stimulating Factor Interleukine Immunology and Allergy Humans ddc:610 COVID-19 Serotherapy Chemokine CCL3 Tumor Necrosis Factor-alpha Interleukin-6 Interleukins Interleukin-17 Interleukin-8 Interleukin-9 COVID-19 Chemokine CXCL10 Interleukin 1 Receptor Antagonist Protein Chemokine convalescent plasma Cytokines Interleukin-2 Interleukin-4 Chemokines Therapy Therapie |
| Zdroj: | Frontiers in immunology. 13 |
| ISSN: | 1664-3224 |
| Popis: | ObjectivesTo determine the profile of cytokines in patients with severe COVID-19 who were enrolled in a trial of COVID-19 convalescent plasma (CCP).MethodsPatients were randomized to receive standard treatment and 3 CCP units or standard treatment alone (CAPSID trial, ClinicalTrials.gov NCT04433910). The primary outcome was a dichotomous composite outcome (survival and no longer severe COVID-19 on day 21). Time to clinical improvement was a key secondary endpoint. The concentrations of 27 cytokines were measured (baseline, day 7). We analyzed the change and the correlation between serum cytokine levels over time in different subgroups and the prediction of outcome in receiver operating characteristics (ROC) analyses and in multivariate models.ResultsThe majority of cytokines showed significant changes from baseline to day 7. Some were strongly correlated amongst each other (at baseline the cluster IL-1ß, IL-2, IL-6, IL-8, G-CSF, MIP-1α, the cluster PDGF-BB, RANTES or the cluster IL-4, IL-17, Eotaxin, bFGF, TNF-α). The correlation matrix substantially changed from baseline to day 7. The heatmaps of the absolute values of the correlation matrix indicated an association of CCP treatment and clinical outcome with the cytokine pattern. Low levels of IP-10, IFN-γ, MCP-1 and IL-1ß on day 0 were predictive of treatment success in a ROC analysis. In multivariate models, low levels of IL-1ß, IFN-γ and MCP-1 on day 0 were significantly associated with both treatment success and shorter time to clinical improvement. Low levels of IP-10, IL-1RA, IL-6, MCP-1 and IFN-γ on day 7 and high levels of IL-9, PDGF and RANTES on day 7 were predictive of treatment success in ROC analyses. Low levels of IP-10, MCP-1 and high levels of RANTES, on day 7 were associated with both treatment success and shorter time to clinical improvement in multivariate models.ConclusionThis analysis demonstrates a considerable dynamic of cytokines over time, which is influenced by both treatment and clinical course of COVID-19. Levels of IL-1ß and MCP-1 at baseline and MCP-1, IP-10 and RANTES on day 7 were associated with a favorable outcome across several endpoints. These cytokines should be included in future trials for further evaluation as predictive factors. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|