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Observational Study
. 2021 Aug 12;16(8):e0251378.
doi: 10.1371/journal.pone.0251378. eCollection 2021.

The impact of tocilizumab on respiratory support states transition and clinical outcomes in COVID-19 patients. A Markov model multi-state study

Affiliations
Observational Study

The impact of tocilizumab on respiratory support states transition and clinical outcomes in COVID-19 patients. A Markov model multi-state study

Jovana Milic et al. PLoS One. .

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.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Representation of clinical pathways and number of observed changes of state.
Notes: Arrows represent transitions between states and the number of observed transitions is reported. The dotted lines represent the final transitions of the study. NRS = No Respiratory Support; OT = Oxygen Therapy; NIV = Non-Invasive Ventilation; IMV = Invasive Mechanical Ventilation. 256 patients have started their hospitalization in the NRS state, 12 in the OT state and 3 in the NIV / INT state A total number of 64 patients with censored length of hospital stay were present: 3 in NRS, 9 in OT, 16 in NIV-IMV, 21 in OT in recovery, 15 in NRS in recovery.
Fig 2
Fig 2. The predicted prevalence of patients in each respiratory support state was estimated in the stack probability plot, comparing patients who were treated with tocilizumab from the OT state onwards (left plot) and patients who were not treated with tocilizumab during hospitalization (right plot).
Color code: black = death; blue = discharge; red = non-invasive ventilation/invasive mechanical ventilation; orange = oxygen therapy; green = no respiratory support. The strikethrough area refers to NRS or OT, whereas the “clean” areas refer to NRS or OT in recovery.

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