The impact of tocilizumab on respiratory support states transition and clinical outcomes in COVID-19 patients. A Markov model multi-state study
- PMID: 34383784
- PMCID: PMC8360516
- DOI: 10.1371/journal.pone.0251378
The impact of tocilizumab on respiratory support states transition and clinical outcomes in COVID-19 patients. A Markov model multi-state study
Abstract
Background: The benefit of tocilizumab on mortality and time to recovery in people with severe COVID pneumonia may depend on appropriate timing. The objective was to estimate the impact of tocilizumab administration on switching respiratory support states, mortality and time to recovery.
Methods: In an observational study, a continuous-time Markov multi-state model was used to describe the sequence of respiratory support states including: no respiratory support (NRS), oxygen therapy (OT), non-invasive ventilation (NIV) or invasive mechanical ventilation (IMV), OT in recovery, NRS in recovery.
Results: Two hundred seventy-one consecutive adult patients were included in the analyses contributing to 695 transitions across states. The prevalence of patients in each respiratory support state was estimated with stack probability plots, comparing people treated with and without tocilizumab since the beginning of the OT state. A positive effect of tocilizumab on the probability of moving from the invasive and non-invasive mechanical NIV/IMV state to the OT in recovery state (HR = 2.6, 95% CI = 1.2-5.2) was observed. Furthermore, a reduced risk of death was observed in patients in NIV/IMV (HR = 0.3, 95% CI = 0.1-0.7) or in OT (HR = 0.1, 95% CI = 0.0-0.8) treated with tocilizumab.
Conclusion: To conclude, we were able to show the positive impact of tocilizumab used in different disease stages depicted by respiratory support states. The use of the multi-state Markov model allowed to harmonize the heterogeneous mortality and recovery endpoints and summarize results with stack probability plots. This approach could inform randomized clinical trials regarding tocilizumab, support disease management and hospital decision making.
Conflict of interest statement
The authors have declared that no competing interests exist.
Figures


References
-
- Thorlund K, Dron L, Park J, Hsu G, Forrest JI, Mills EJ. A real-time dashboard of clinical trials for COVID-19. Lancet Digit Heal [Internet]. The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license; 2020; 2(6):e286–e287. Available from: doi: 10.1016/S2589-7500(20)30086-8 - DOI - PMC - PubMed
-
- Wang Y, Zhang D, Du G, et al. Remdesivir in adults with severe COVID-19: a randomised, double-blind, placebo-controlled, multicentre trial. Lancet [Internet]. Elsevier Ltd; 2020; 0(0):1–10. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0140673620310229 doi: 10.1016/S0140-6736(20)31022-9 - DOI - PMC - PubMed
-
- Cao B, Wang Y, Wen D, et al. A Trial of Lopinavir-Ritonavir in Adults Hospitalized with Severe Covid-19. N Engl J Med [Internet]. 2020;: 1–13. Available from: http://www.ncbi.nlm.nih.gov/pubmed/32187464 doi: 10.1056/NEJMoa2001282 - DOI - PMC - PubMed
-
- Grein J, Ohmagari N, Shin D, et al. Compassionate Use of Remdesivir for Patients with Severe Covid-19. N Engl J Med [Internet]. 2020;: 1–10. Available from: http://www.ncbi.nlm.nih.gov/pubmed/32275812 doi: 10.1056/NEJMoa2007016 - DOI - PMC - PubMed
-
- Harris MS, Levy JM, Journal TA, Care M. Clinical Outcomes of Hydroxychloroquine in Hospitalized Patients with COVID-19: A Quasi-Randomized Comparative Study—Confidential—For Rewvie On ly. N Engl J Med. 2020; UNPUBLISHE:2–5.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources