Literature DB >> 32838326

Tocilizumab for severe COVID-19 pneumonia - Authors' reply.

Giovanni Guaraldi1,2, Marianna Meschiari1, Jovana Milic2,3, Alessandro Cozzi-Lepri4, Cristina Mussini1,2.   

Abstract

Entities:  

Year:  2020        PMID: 32838326      PMCID: PMC7431126          DOI: 10.1016/S2665-9913(20)30285-X

Source DB:  PubMed          Journal:  Lancet Rheumatol        ISSN: 2665-9913


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In the TESEO retrospective observational study, we showed that tocilizumab was able to reduce the need for invasive mechanical ventilation, or death, or both, by 39% and overall mortality by 62%. Nevertheless, much still needs to be learned, possibly from upcoming randomised clinical trials, to better understand the role of tocilizumab in different clinical and epidemiological settings. Our study elicited several questions regarding the effect of tocilizumab outside the respiratory system, particularly its impact on thromboembolic events, its safety profile with regard to liver injury, and selection of patients for tocilizumab treatment in a personalised medicine approach. We thank Jean-Jacques Mourad and Philippe Azria for raising a question about the observed number of arterial or venous thromboembolic events in our cohort. In the subset of 354 patients in the Modena cohort, all patients received low molecular weight heparin at a prophylactic dose; therefore, we were unable to evaluate the association between heparin use and risk of thromboembolic events. In our study, thromboembolic events were seen in ten (8%) of 132 patients in the tocilizumab group and two (1%) of 222 patients in the standard of care group. These events were reported by clinical suspicion or CT findings, and when they occurred they prompted a switch from prophylactic to therapeutic doses of heparin. Enoxaparin was administered subcutaneously at 4000 UI per day in the prophylactic group, and at 70 UI/kg twice a day in the therapeutic group. The risk of thromboembolic events in patients treated with tocilizumab versus standard of care, after adjusting for sex, age, comorbidity, and duration of symptoms, was an adjusted odds ratio of 0·65 (95% CI 0·09–4·89; p=0·675). Thus, tocilizumab treatment was not associated with the risk of thromboembolic events in our population. Nevertheless, our study was not powered to address a possible modulating effect of tocilizumab on immunothrombosis, a major (but not the only) driver of thromboembolism. We thank Salvatore Piano and colleagues for suggesting a word of caution regarding the use of tocilizumab and liver injury. The extent of liver function test abnormalities observed during hospitalisation in patients, both those treated with tocilizumab and those in the control group, in the TESEO Modena cohort are shown in the appendix. Our results are similar to the findings of Piano and colleagues, but we also showed a few outliers. The overall difference in mean alanine aminotransferase (ALT) concentration between the tocilizumab group and standard of care group was significant by ANOVA Fisher test (p<0·0001). Of note, given the quadratic nature of the relationship, the mixed linear model originally done failed to detect this difference in the ALT trend over time between treatment groups. Nevertheless, the increase of ALT in these patients might reflect multiple mechanisms of liver injury beyond tocilizumab toxicity, such as microthrombosis or reactivation of herpes viruses (HSV1 in particular), variables that were not accounted for in this simple unadjusted analysis. Brian Lipworth and colleagues advocate for a personalised endotype-driven approach to facilitate earlier identification of patients with COVID-19 who might benefit from treatment with tocilizumab or glucocorticoids. We have developed a data-driven predictive model that provides a reliable 48 h prediction of severe respiratory failure, with an accuracy of 84%, which also minimises the false-negative rate. The best performing model required approximately 20 variables, which included interleukin-6, C-reactive protein, and blood gas analyses. Of note, the identification of sick patients (relating to prediction) cannot be confused with the identification of patients who will benefit from the use of tocilizumab, or with questions regarding what intervention is needed to prevent severe complications of COVID-19, which need to be evaluated in the context of counterfactual predictions. Lipworth and colleagues also suggest that the effect of tocilizumab in our analysis could have been due to more prevalent concomitant use of glucocorticoids in these patients, compared with those treated with standard of care; however, our estimates were adjusted for post-baseline use of glucocorticoids. It should also be noted that the optimal time for tocilizumab use in the clinical course of COVID-19 remains to be elucidated.
  4 in total

1.  Tocilizumab in patients with severe COVID-19: a retrospective cohort study.

Authors:  Giovanni Guaraldi; Marianna Meschiari; Alessandro Cozzi-Lepri; Jovana Milic; Roberto Tonelli; Marianna Menozzi; Erica Franceschini; Gianluca Cuomo; Gabriella Orlando; Vanni Borghi; Antonella Santoro; Margherita Di Gaetano; Cinzia Puzzolante; Federica Carli; Andrea Bedini; Luca Corradi; Riccardo Fantini; Ivana Castaniere; Luca Tabbì; Massimo Girardis; Sara Tedeschi; Maddalena Giannella; Michele Bartoletti; Renato Pascale; Giovanni Dolci; Lucio Brugioni; Antonello Pietrangelo; Andrea Cossarizza; Federico Pea; Enrico Clini; Carlo Salvarani; Marco Massari; Pier Luigi Viale; Cristina Mussini
Journal:  Lancet Rheumatol       Date:  2020-06-24

2.  Marked T cell activation, senescence, exhaustion and skewing towards TH17 in patients with COVID-19 pneumonia.

Authors:  Sara De Biasi; Marianna Meschiari; Lara Gibellini; Caterina Bellinazzi; Rebecca Borella; Lucia Fidanza; Licia Gozzi; Anna Iannone; Domenico Lo Tartaro; Marco Mattioli; Annamaria Paolini; Marianna Menozzi; Jovana Milić; Giacomo Franceschi; Riccardo Fantini; Roberto Tonelli; Marco Sita; Mario Sarti; Tommaso Trenti; Lucio Brugioni; Luca Cicchetti; Fabio Facchinetti; Antonello Pietrangelo; Enrico Clini; Massimo Girardis; Giovanni Guaraldi; Cristina Mussini; Andrea Cossarizza
Journal:  Nat Commun       Date:  2020-07-06       Impact factor: 14.919

3.  Machine learning in predicting respiratory failure in patients with COVID-19 pneumonia-Challenges, strengths, and opportunities in a global health emergency.

Authors:  Davide Ferrari; Jovana Milic; Roberto Tonelli; Francesco Ghinelli; Marianna Meschiari; Sara Volpi; Matteo Faltoni; Giacomo Franceschi; Vittorio Iadisernia; Dina Yaacoub; Giacomo Ciusa; Erica Bacca; Carlotta Rogati; Marco Tutone; Giulia Burastero; Alessandro Raimondi; Marianna Menozzi; Erica Franceschini; Gianluca Cuomo; Luca Corradi; Gabriella Orlando; Antonella Santoro; Margherita Digaetano; Cinzia Puzzolante; Federica Carli; Vanni Borghi; Andrea Bedini; Riccardo Fantini; Luca Tabbì; Ivana Castaniere; Stefano Busani; Enrico Clini; Massimo Girardis; Mario Sarti; Andrea Cossarizza; Cristina Mussini; Federica Mandreoli; Paolo Missier; Giovanni Guaraldi
Journal:  PLoS One       Date:  2020-11-12       Impact factor: 3.240

  4 in total
  1 in total

Review 1.  Potential repurposed SARS-CoV-2 (COVID-19) infection drugs.

Authors:  Gamal El-Din A Abuo-Rahma; Mamdouh F A Mohamed; Tarek S Ibrahim; Mai E Shoman; Ebtihal Samir; Rehab M Abd El-Baky
Journal:  RSC Adv       Date:  2020-07-17       Impact factor: 4.036

  1 in total

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