Literature DB >> 34050796

Tocilizumab in Hospitalized Patients with COVID-19: A Meta Analysis of Randomized Controlled Trials.

Vijairam Selvaraj1,2, Mohammad Saud Khan3,4, Chirag Bavishi4,5, Kwame Dapaah-Afriyie3,4, Arkadiy Finn3,4, Amos Lal6, Eleftherios Mylonakis4,7.   

Abstract

BACKGROUND: To date, only dexamethasone has been shown to reduce mortality in coronavirus disease-19 (COVID-19) patients. Tocilizumab has been recently added to the treatment guidelines for hospitalized COVID-19 patients, but data remain conflicting. STUDY DESIGN AND METHODS: Electronic databases such as MEDLINE, EMBASE, and Cochrane central were searched from March 1, 2020, until March 10, 2021, for randomized controlled trials evaluating the efficacy of tocilizumab in hospitalized COVID-19 patients. The outcomes assessed were all-cause mortality, mechanical ventilation, and time to discharge.
RESULTS: Nine studies (with 6490 patients) were included in the analysis. In total, 3358 patients received tocilizumab, and 3132 received standard care/placebo. Pooled analysis showed a significantly decreased risk of all-cause mortality (RR 0.89, 95% CI 0.80-0.98, p = 0.02) and progression to mechanical ventilation (RR 0.80, 95% CI 0.71-0.89, p < 0.0001) in the tocilizumab arm compared to standard therapy or placebo. In addition, there was a trend towards improved median time to hospital discharge (RR 1.28, 95% CI 1.12-1.45, p = 0.0002).
CONCLUSIONS: Tocilizumab therapy improves outcomes of mortality and need for mechanical ventilation, in hospitalized patients with COVID-19 infection compared with standard therapy or placebo. Our findings suggest the efficacy of tocilizumab therapy in hospitalized COVID-19 patients and strengthen the concept that tocilizumab is a promising therapeutic intervention to improve mortality and morbidity in COVID-19 patients.

Entities:  

Keywords:  COVID-19; IL-6; Meta-analysis; Mortality; Tocilizumab

Year:  2021        PMID: 34050796      PMCID: PMC8164079          DOI: 10.1007/s00408-021-00451-9

Source DB:  PubMed          Journal:  Lung        ISSN: 0341-2040            Impact factor:   2.584


Introduction

The coronavirus disease-19 (COVID-19) pandemic has resulted in hospitalization in many cases. In severe and critical cases of COVID-19, which occurs in 13.8% and 6.1% of the patient population, COVID-19-associated pneumonia can lead to acute respiratory distress syndrome (ARDS) and rapid deterioration, sometimes leading to invasive mechanical ventilation and death [1]. The clinical spectrum of COVID-19 continues to evolve along with the emergence of new severe acute respiratory syndrome-coronavirus-2 (SARS-CoV2) variants. The pathophysiology of COVID-19 involves an initial viremic phase where patients mostly have mild constitutional symptoms, followed by a pulmonary and then hyperinflammatory phase where patients have shortness of breath and hypoxemia [2]. The median time from onset of symptoms to hospital admission is five to seven days and nine to ten days for acute respiratory distress syndrome (ARDS) and hypoxic respiratory failure [3, 4]. The hyperinflammatory phase of COVID-19 is associated with elevated C-reactive protein (CRP) levels, ferritin, lactate dehydrogenase (LDH), and interleukin-6 (IL-6) and causes edema and inflammatory cell infiltration in the lungs [5, 6]. IL-6 appears to play a significant role in endothelial dysfunction and the development of vascular permeability and has been associated with the vascular dysfunction seen in severe disease [7]. This dysregulated and excess immune response plays an important role in the disease course of COVID-19 [8, 9]. Elevated levels of IL-6 have been associated with prolonged viral shedding, increased viremia, and progression to mechanical ventilation and death [10-13]. A meta-analysis of 6 studies revealed that mean IL-6 levels were 2.9-fold higher in patients with complicated COVID-19 than non-complicated disease [14]. Dexamethasone therapy has shown mortality benefit in patients of COVID-19 infection [15, 16]. Nevertheless, in some severely ill patients, dexamethasone therapy alone might not be sufficient to quell the cytokine storm in the hyperinflammatory phase. Tocilizumab is a recombinant monoclonal antibody indicated for treating giant cell arteritis, rheumatoid arthritis, and life-threatening cytokine release syndrome induced by chimeric antigen receptor T-cells [17-19]. Its mode of action is by inhibiting IL-6 signaling by binding soluble IL-6R and membrane IL-6R [20]. A recent study also showed there might be genetic variants in the interleukin-6 inflammatory pathway that may be associated with life-threatening disease in COVID-19 patients [21]. It is reasonable to assume that early intervention with tocilizumab through IL-6 blockade could abrogate progression to hypoxemic respiratory failure and decreases the duration of supplemental oxygen use [22]. However, randomized controlled trials (RCTs) and systematic reviews evaluating the role of tocilizumab in COVID-19 patients have yielded disparate results [23-29]. We, therefore, conducted a meta-analysis of the RCTs to synthesize the current evidence on the efficacy of tocilizumab in hospitalized COVID-19 patients.

Methods

Data Sources and Search Strategy

This study was conducted according to the Cochrane Collaboration and the preferred reporting items for systematic reviews and meta-analyses (PRISMA) statement [30]. We conducted a systematic search in MEDLINE, EMBASE, Cochrane Central, and preprint databases to identify all relevant articles using the following search terms: (“SARS-CoV2” OR “COVID-19”) AND (“tocilizumab” OR “IL6” OR “Anti-IL6”). Results were limited to humans and the English language. Databases were searched from March 1, 2020, to March 10, 2021, to identify all relevant RCTs including preprint, non-peer reviewed studies as well. Review articles, case reports, observational studies, opinion articles, letters, abstracts, conferences, brief reports, and non-English publications were excluded. The reference lists of the identified articles were also perused to find additional pertinent studies. All results were imported into EndNote × 8.2 (Clarivate Analytics) and duplicate results were identified and removed.

Study Selection and Eligibility

Two independent reviewers (V.S. and M.S.K.) screened the retrieved papers based on the title and abstract. If the paper contained relevant data, the full paper was retrieved if it was not clear from the title and abstract. Any disagreements between the two reviewers were discussed with a third reviewer (K.D.A.) and resolved by consensus. A study was considered eligible for inclusion in the analysis if it was 1) randomized controlled trial 2) reported outcomes of interest in hospitalized COVID-19 patients with tocilizumab therapy compared to standard treatment or placebo. The outcomes assessed were all-cause mortality, progression to mechanical ventilation, and the median time to hospital discharge. If more than one study reported data from the same population, then the largest study was included.

Data Extraction

From the included studies, two reviewers (V.S. and M.S.K.) independently extracted the data. Extracted data included (1) study characteristics—design, site of study, dates of study, and type of randomization (2) details of the study population and the interventions utilized, including demographics of participants in both intervention and control arms, presence of comorbidities, concomitant treatment, CRP levels (3) primary outcome, and follow-up. In the REMAP-CAP trial, data from only the tocilizumab arm were included. Data from the sarilumab arm of the trial were excluded from the meta-analysis [31].

Risk of Bias Assessment

Two authors (V.S. and M.S.K.) reviewed each selected trial for quality assessment, including the risk of bias using the Cochrane criteria for systematic review of interventions [32]. This methodology explores the adequacy of sequestration, allocation sequence concealment, blinding of participants and study personnel, blinding for outcome assessment, incomplete outcome or selective outcome reporting, and another potential bias. Any disagreement between the authors was resolved with mutual agreement after discussion.

Data Synthesis and Statistical Analysis

Outcomes were used in the meta-analysis only if at least three studies reported usable data. The Mantel-Haenszel method for dichotomous data was used to calculate aggregated risk ratios (RRs) with corresponding 95% confidence intervals (CIs). A 2-tailed alpha level of 0.05 was set as the threshold for statistical significance. The I2 statistic was used to assess unexplained statistical heterogeneity among studies. The meta-analysis was performed with a random-effects model. Subgroup analysis was done to evaluate the effect of disease severity, dexamethasone use, and sample size on all-cause mortality. Statistical analysis was performed using Review Manager, version 5.3 (Copenhagen: The Nordic Cochrane Centre, The Cochrane Collaboration, 2014).

Results

Search Results and Characteristics of Included Trials

Figure 1 shows the PRISMA flow chart summarizing the search strategy. The literature search identified 38 full-text articles, of which nine RCTs were eligible for inclusion in this study after full read [24–29, 31, 33]. A total of 6490 patients were included, of which 3358 patients received tocilizumab, and 3132 received standard care/placebo. Baseline characteristics were similar across the intervention and standard care or placebo groups. Detailed characteristics of the studies are described in Table 1.
Fig. 1

PRISMA flow chart outlining literature search

Table1

Study characteristics

ReferenceGroupsSample sizeMedian age (years)Race or ethnic group—white %Males (%)DM2 (%)HTN (%)CRP (mg/L)Mortality (%)Concomitant treatment
BACC Bay TocilizumabTCZ16161.6 (46.4–69.7)4460%2850110 (64.9–175.3)5.59

Antivirals

Hydroxychloroquine

Glucocorticoids

Placebo8256.5 (44.7–67.8)4055%374694.3 (58.4–142)3.65
RCT-TCZ-COVIDTCZ6061.5 (51.5–73.5)N/A66.716.727105 (50–146)3.33

Hydroxychloroquine

Azithromycin

Antiretrovirals

Anticoagulation

Standard care6360.0 (54–69)N/A56.113.62965 (32–118)1.59
CORIMUNO-TOCI-1TCZ6364.0 (57.1–74.3)N/A703333119.5 (74.5–219.5)11.11

Antivirals

Antiretrovirals

Anakinra

Eculizumab

Glucocorticoids

Anticoagulation

Azithromycin

Usual care6763.3 (57.1–72.3)N/A663430127 (84–171)11.9
COVACTATCZ29460.9 ± 14.659.969.735.760.5168.4 ± 101.419.73

Glucocorticoids

Antivirals

Hydroxychloroquine

Convalescent plasma

Placebo14460.6 ± 13.752.870.143.165.3172.6 ± 114.019.44
REMAP-CAPTCZ35361.5 ± 12.57074N/AN/A150 (85–221)27.76

Hydrocortisone

Antivirals

Immunoglobulin

Macrolide

Antiplatelet

Statins

Anticoagulation

Control40261.1 ± 12.87470N/AN/A130 (71–208)35.32
EMPACTATCZ24956.0 ± 14.311.260.2N/AN/A124.5 (2.5–2099)10.44

Glucocorticoids

Antivirals

Placebo12855.6 ± 14.915.657N/AN/A143.4 (9–3776)8.59
RECOVERYTCZ202263.3 (13.7)67662822143 (107–204) mg/L30.71

Hydroxychloroquine

Antiviral

Azithromycin

Antiretrovirals

Usual care209463.9 (13.6)68692924144 (106–205)34.81
TOCIBRASTCZ6557.4 (15.7)68N/A3446160 ± 10421.54

Corticosteroids

Anticoagulation

Other Immunosuppressants

Hydroxychloroquine

Azithromycin

Control6457.5 (13.5)69N/A3153193 ± 2839.37
COVINTOCTCZ9156 (47–63)N/A843440110.712.0

Corticosteroids

Antivirals

Control8854 (43–63)N/A86493988.117.04
PRISMA flow chart outlining literature search Study characteristics Antivirals Hydroxychloroquine Glucocorticoids Hydroxychloroquine Azithromycin Antiretrovirals Anticoagulation Antivirals Antiretrovirals Anakinra Eculizumab Glucocorticoids Anticoagulation Azithromycin Glucocorticoids Antivirals Hydroxychloroquine Convalescent plasma Hydrocortisone Antivirals Immunoglobulin Macrolide Antiplatelet Statins Anticoagulation Glucocorticoids Antivirals Hydroxychloroquine Antiviral Azithromycin Antiretrovirals Corticosteroids Anticoagulation Other Immunosuppressants Hydroxychloroquine Azithromycin Corticosteroids Antivirals All trials included in the analysis studied hospitalized patients with COVID-19 and were multicenter in design. One study was conducted in Italy, one in Brazil, one in India, one in France, one in the United Kingdom, and one in the United States of America (USA). Three international trials were conducted across multiple countries in Europe, Mexico, Kenya, South Africa, Peru, and Brazil [25, 26, 31]. Six trials had open-label design and three were double-blinded. Detailed study designs and study criteria are described in Table 2.
Table 2

Study design and criteria

ReferenceSiteDesignDatesFollow-upInclusion criteriaPrimary outcome
BACC Bay TocilizumabUSARandomized, double-blind, placebo-controlled trialApril 20 to June 15, 202028 daysSARS-CoV2 + fever + pulmonary infiltrates or need for supplemental oxygen. At least one of the following laboratory criteria also had to be fulfilled: a CRP 50 mg/L, ferritin > 500 ng/ml, d-dimer level > 1000 ng/ml, or LDH level > 250 U/LIntubation (or death, for patients who died before intubation)
RCT-TCZ-COVIDItalyCohort-embedded, investigator-initiated, multicenter, open-label, randomized clinical trialMarch 31 to June 11, 202028 daysSARS-CoV2 + fever + (PaO2/FiO2) ratio between 200 and 300 mg Hg, and/or CRP levels of > 10 mg/dL and/or CRP level increased to at least twice the admission measurementEntry into ICU with invasive mechanical ventilation, death from all causes, or Pao2/Fio2 ratio less than 150 mm Hg
CORIMUNO-TOCI-1FranceProspective, open-label randomized clinical trialMarch 31 to April 18, 202060 daysSARS-CoV2 + or CT chest findings + moderate, severe, or critical pneumonia O2 > 3 L/min, WHO-CPS score ≥ 5Scores higher than 5 on the WHO-CPS scale on day 4 and survival without need of ventilation (including non-invasive ventilation) at day 14
COVACTAGlobalMulticenter, randomized, double-blind, placebo-controlled phase III trialApri 3 to May 28, 202028 daysSARS-CoV2 + chest Xray or CT findings + SpO2 < 93% or PaO2/FiO2 ratio < 300Clinical status at day 28, as assessed on the seven-category ordinal scale
REMAP-CAPGlobalInternational, adaptive platform, open-label randomized controlled trialApril 19 to November 19, 202090 daysConfirmed COVID-19 who were admitted to the ICU and were receiving respiratory or cardiovascular organ supportNumber of respiratory and cardiovascular organ support–free days up to day 21
EMPACTAGlobalDouble-blinded, placebo-controlled, multicenter trialN/A60 daysConfirmed COVID-19 along with radiologic features who were saturating below 94% while breathing ambient airMechanical ventilation (invasive mechanical ventilation or extracorporeal membrane oxygenation) or death by day 28
RECOVERYUKRandomized, controlled, open-label, platform trialN/A28 daysClinical evidence of progressive COVID-19 (defined as oxygen saturation < 92% on room air or receiving oxygen therapy, and CRP ≥ 75 mg/L)All-cause mortality
TOCIBRASBrazilMulticenter, randomized, open-label, parallel group, superiority trialMay 8 to July 17, 202015 daysConfirmed severe or critical COVID-19 + receiving supplemental or receiving mechanical ventilation for < 24 h before analysis + At least two of the following criteria had to be met: D-dimer > 1000 ng/mL, CRP > 50 mg/L, ferritin > 300 μg/L, or LDH greater than the upper limit of normalClinical status at 15 days evaluated with the use of a seven-level ordinal scale
COVINTOCIndiaOpen-label, randomized, multicenter, controlled phase III trialMay 30 to August 31, 202028 daysConfirmed COVID-19 + moderate to severe disease (moderate defined as respiratory rate 24/ min and SpO2 90–94%; and severe defined as respiratory rate ≥ 30/min or SpO2 < 90% in ambient air or ARDS or septic shock)Proportion of patients with progression of COVID-19 from moderate to severe or from severe to death up to day 14
Study design and criteria The risk of bias assessment for the included trials is presented in Fig. 2. All trials were reported using random sequence generation. Concealment of allocation was not mentioned in six trials and therefore risk of allocation concealment remains high in these trials [27–29, 31, 33, 34]. Also, six trials had open-label study design [27–29, 31, 33, 34]. The risk of performance and selection bias was high in these trials as participants and personnel were not blinded to the assigned treatment. Bias due to selective reporting was deemed high in one study because it was a preliminary report and data were not presented for some outcomes [31]. Risk of attrition bias was deemed high in one trial due to incomplete outcome [29]. In the rest of the studies, risk of attrition bias was low [24–28, 31, 33, 34].
Fig. 2

Risk of bias assessment of trials included in the study

Risk of bias assessment of trials included in the study

Assessment of Outcomes

All-Cause Mortality

All nine RCTs reported the outcome of all-cause mortality [24–29, 31, 33, 34]. A total of 846 deaths out of 3358 participants were reported in the tocilizumab arm compared to 943 deaths out of 3132 participants in the standard care or placebo arm. Pooled analysis showed a significant reduction in all-cause mortality with tocilizumab therapy than standard therapy or placebo (RR 0.89, 95% CI 0.80–0.98, p = 0.02) (Fig. 3A).
Fig. 3

Forest plots for primary and secondary outcomes. A Mortality outcome. B Progression to mechanical ventilation. C Progression to mechanical ventilation or death. D Time to discharge

Forest plots for primary and secondary outcomes. A Mortality outcome. B Progression to mechanical ventilation. C Progression to mechanical ventilation or death. D Time to discharge

Progression to Mechanical Ventilation

Eight RCTs reported the outcome of progression to mechanical ventilation [24, 25, 27–29, 31, 33, 34]. 440 out of 2622 participants progressed to mechanical ventilation in the tocilizumab group compared to 536 out of 2526 participants in the other group. Statistical significance was observed with RR of 0.80 and 95% CI 0.71–0.89 with a p value < 0.0001 (Fig. 3B).

Progression to Mechanical Ventilation or Death

Six RCTs reported the outcome of progression to mechanical ventilation or death [24, 26, 28, 29, 31, 33]. 795 out of 2534 participants progressed to mechanical ventilation or died in the tocilizumab group compared to 951 out of 2414 participants in the standard care or placebo group. (RR 0.84, 95% CI 0.77–0.92, p < 0.0001) (Fig. 3C).

Time to Hospital Discharge

Four RCTs reported hazard ratios for median time to hospital discharge [24–26, 31]. Pooled analysis showed significantly improved outcome of median time to hospital discharge with tocilizumab therapy than standard therapy or placebo (HR 1.28, 95% CI 1.12–1.45, p = 0.0002) (Fig. 3D).

Subgroup Analysis

To improve the selection of patients who are most likely to benefit from tocilizumab, we examined the effect of disease severity, concomitant dexamethasone use, and sample size on all-cause mortality. Five trials reported all-cause mortality in patients with severe or critical disease (on non-invasive or invasive ventilation). A total of 802 deaths out of 2825 participants were reported in the tocilizumab arm compared to 920 deaths out of 2792 participants in the standard care or placebo arm (RR 0.89, 95% CI 0.75–1.04, p = 0.14) [25, 29, 31, 33, 34]. In patients with mild or moderate disease, 44 deaths out of 533 participants were reported in the tocilizumab arm compared to 23 deaths out of 340 participants in the standard care or placebo arm (RR 1.20, 95% CI 0.73–1.96, p = 0.47) [24, 26–28] (Supplementary figure 1). Three trials reported all-cause mortality in patients who received tocilizumab and dexamethasone. In patients that received dexamethasone along with tocilizumab, a total of 745 deaths out of 2624 participants were reported in the tocilizumab arm compared to 882 deaths out of 2624 participants in the standard care or placebo arm. Pooled analysis showed a significant reduction in all-cause mortality with tocilizumab therapy than standard therapy or placebo (RR 0.87, 95% CI 0.80–0.95, p = 0.0009) [26, 31, 33] (Supplementary figure 2). Four RCTs enrolled more than 100 patients in each arm. In these trials, there was a statistically significant reduction in all-cause mortality in patients who received tocilizumab compared to standard care or placebo (RR 0.88, 95% CI 0.81–0.95, p = 0.001) [25, 26, 31, 33]. However, in RCTs with less than 100 patients in each arm, all-cause mortality outcomes were not statistically significant (RR 1.16, 95% CI 0.68–1.98, p = 0.59) [24, 27–29, 34] (Supplementary figure 3).

Discussion

This meta-analysis provides a comprehensive aggregate analysis of the available randomized trials to date on the efficacy and safety of tocilizumab therapy in hospitalized patients with COVID-19 Infection. The results of this study favored mortality benefit with tocilizumab treatment in hypoxemic COVID-19 patients, even though they were not statistically significant. Tocilizumab therapy was also associated with reduced progression to mechanical ventilation and early hospital discharge or readiness to discharge than standard therapy or placebo in hospitalized COVID-19 patients. Recent Infectious Diseases Society of America (IDSA) guidelines conditionally suggest the use of tocilizumab in addition to standard of care rather than standard care alone among hospitalized patients with progressive severe or critical COVID-19 [35]. The National Institutes of Health (NIH) guidelines also recommend the use of tocilizumab along with dexamethasone in hospitalized patients who have been admitted to the intensive care unit within the prior 24 h and who require invasive mechanical ventilation, non-invasive mechanical ventilation, or high-flow nasal cannula oxygen (> 0.4 FiO2/30 L/min of oxygen flow). They also recommend the use of tocilizumab in hospitalized patients with rapidly increasing oxygen needs and with significantly increased markers of inflammation [36]. Our study findings support these guidelines, especially in patients with severe or critical disease in whom tocilizumab use favored improved mortality. The hyperinflammation phase in COVID-19 involves several cytokines and chemokines. However, tocilizumab only inhibits one cytokine, IL-6. In the RCT-TCZ-COVID study, only 4% of the patient population received steroids. Tocilizumab use did not reduce the risk of clinical worsening in the study population [27]. Also, in the BACC Bay Tocilizumab study, only 10% of the study population received glucocorticoids [24]. There was no significant effect on the risk of intubation or death, on disease worsening, on time to discontinuation of supplemental oxygen. With concomitant dexamethasone administration, there appears to be a synergistic or additive effect on numerous inflammatory pathways. In the EMPACTA trial, 55.4% of the patients in the tocilizumab group and 67.2% of those in the placebo group received concomitant dexamethasone [26]. Patients who received tocilizumab were less likely than those who received placebo to undergo mechanical ventilation or die by day 28. In the REMAP-CAP trial, steroid use increased to 88%, and tocilizumab was found to improve mortality and time to clinical improvement [31]. In the RECOVERY trial, 82% of the patients received dexamethasone and tocilizumab resulted in a 6% reduction in mortality when combined with dexamethasone but had no impact on mortality given alone [33]. The severity of illness seems to play an important role in determining the benefit of tocilizumab in this population. In the RCT-TCZ-COVID study, only patients with PaO2/FiO2 ratios between 200 and 300 mm were included [27]. In the BACC Bay tocilizumab study, patients requiring > 10 L/min oxygen were excluded [24]. In both studies, primary outcomes were not met. In the CORIMUNO-TOCI-1 trial, patients with a WHO-CPS score of 5 with O2 levels of 3 L/min or higher but without non-invasive ventilation (NIV) or mechanical ventilation (MV) were enrolled. Survival without invasive or non-invasive mechanical ventilation by day 14 was met, but mortality at day 28 was not different between the groups. Effects of tocilizumab may have also been diminished due to greater steroid use in the control group [28]. In the COVACTA trial, 38% of the patients were mechanically ventilated. There was no significant difference between the tocilizumab and placebo groups concerning clinical status or mortality at day 28, although the time to hospital discharge was shorter with tocilizumab (HR 1.35; 95% CI 1.02–1.79). Besides, patients initially located outside the ICU were less likely to be transferred to the ICU if treated with tocilizumab [25]. In the REMAP-CAP trial, the greatest benefit was seen in patients admitted to the ICU for organ support (e.g., high-flow nasal cannula or ventilation) [31]. Our meta-analysis has certain limitations. Firstly, the number of patients in the RECOVERY trial was much higher than other RCTs (study weight 66.8%) [33]. Secondly, there were differences in enrollment criteria, the time at which anti–interleukin-6 therapy was initiated, the primary outcome, and background care. Thirdly, five studies enrolled less than 100 patients in each arm of the trial. Due to the small sample size, they may not have been powered adequately to detect a statistical difference in outcomes. Lastly, six of the included studies had an open-label design, implying high risk of performance and selection bias due to lack of blinding of participants and personnel to intervention, limiting our ability to interpret the results. In conclusion, our meta-analysis suggests tocilizumab, when used along with dexamethasone, could be an effective therapeutic option with promising evidence on reduced mortality, progression to mechanical ventilation, and early discharge from hospital. Variations in inflammatory cascade pathophysiology make the timing of initiating treatment with tocilizumab crucial. Future studies could assess the timing of intervention based on associated comorbidities and inflammatory markers, the economic benefits of tocilizumab and other IL-6 inhibitors in patient outcomes, and critical healthcare resource usage. Below is the link to the electronic supplementary material. Supplementary file1 (DOCX 83 kb)
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Authors:  Panagiotis T Tasoudis; Christina K Arvaniti; Anastasia T Adamou; Ioannis Belios; John H Stone; Nora Horick; Dimitrios Sagris; George N Dalekos; George Ntaios
Journal:  Eur J Intern Med       Date:  2022-04-07       Impact factor: 7.749

Review 5.  Inflammatory pathways in COVID-19: Mechanism and therapeutic interventions.

Authors:  Yujie Jiang; Tingmei Zhao; Xueyan Zhou; Yu Xiang; Pedro Gutierrez-Castrellon; Xuelei Ma
Journal:  MedComm (2020)       Date:  2022-08-01

6.  [Kidney damage in COVID-19].

Authors:  Stéphane Burtey; Marion Sallée
Journal:  Nephrol Ther       Date:  2021-06-23       Impact factor: 0.722

7.  LUNG Year in Review: 2021.

Authors:  Peter V Dicpinigaitis
Journal:  Lung       Date:  2022-01-18       Impact factor: 3.777

8.  An internally validated prediction model for critical COVID-19 infection and intensive care unit admission in symptomatic pregnant women.

Authors:  Erkan Kalafat; Smriti Prasad; Pinar Birol; Arzu Bilge Tekin; Atilla Kunt; Carolina Di Fabrizio; Cengiz Alatas; Ebru Celik; Helin Bagci; Julia Binder; Kirsty Le Doare; Laura A Magee; Memis Ali Mutlu; Murat Yassa; Niyazi Tug; Orhan Sahin; Panagiotis Krokos; Pat O'brien; Peter von Dadelszen; Pilar Palmrich; George Papaioannou; Reyhan Ayaz; Shamez N Ladhani; Sophia Kalantaridou; Veli Mihmanli; Asma Khalil
Journal:  Am J Obstet Gynecol       Date:  2021-09-25       Impact factor: 8.661

  8 in total

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