Literature DB >> 34396156

Effect of anakinra on mortality in patients with COVID-19: a systematic review and patient-level meta-analysis.

Evdoxia Kyriazopoulou1, Thomas Huet2, Giulio Cavalli3, Andrea Gori4,5,6, Miltiades Kyprianou1, Peter Pickkers7, Jesper Eugen-Olsen8, Mario Clerici5,9, Francisco Veas10, Gilles Chatellier2, Gilles Kaplanski11, Mihai G Netea12, Emanuele Pontali13, Marco Gattorno14, Raphael Cauchois11, Emma Kooistra7, Matthijs Kox7, Alessandra Bandera4,5,6, Hélène Beaussier2, Davide Mangioni4,5,6, Lorenzo Dagna3, Jos W M van der Meer12, Evangelos J Giamarellos-Bourboulis1, Gilles Hayem2.   

Abstract

BACKGROUND: Anakinra might improve the prognosis of patients with moderate to severe COVID-19 (ie, patients requiring oxygen supplementation but not yet receiving organ support). We aimed to assess the effect of anakinra treatment on mortality in patients admitted to hospital with COVID-19.
METHODS: For this systematic review and individual patient-level meta-analysis, a systematic literature search was done on Dec 28, 2020, in Medline (PubMed), Cochrane, medRxiv, bioRxiv, and the ClinicalTrials.gov databases for randomised trials, comparative studies, and observational studies of patients admitted to hospital with COVID-19, comparing administration of anakinra with standard of care, or placebo, or both. The search was repeated on Jan 22, 2021. Individual patient-level data were requested from investigators and corresponding authors of eligible studies; if individual patient-level data were not available, published data were extracted from the original reports. The primary endpoint was mortality after 28 days and the secondary endpoint was safety (eg, the risk of secondary infections). This study is registered on PROSPERO (CRD42020221491).
FINDINGS: 209 articles were identified, of which 178 full-text articles fulfilled screening criteria and were assessed. Aggregate data on 1185 patients from nine studies were analysed, and individual patient-level data on 895 patients were provided from six of these studies. Eight studies were observational and one was a randomised controlled trial. Most studies used historical controls. In the individual patient-level meta-analysis, after adjusting for age, comorbidities, baseline ratio of the arterial partial oxygen pressure divided by the fraction of inspired oxygen (PaO2/FiO2), C-reactive protein (CRP) concentrations, and lymphopenia, mortality was significantly lower in patients treated with anakinra (38 [11%] of 342) than in those receiving standard of care with or without placebo (137 [25%] of 553; adjusted odds ratio [OR] 0·32 [95% CI 0·20-0·51]). The mortality benefit was similar across subgroups regardless of comorbidities (ie, diabetes), ferritin concentrations, or the baseline PaO2/FiO2. In a subgroup analysis, anakinra was more effective in lowering mortality in patients with CRP concentrations higher than 100 mg/L (OR 0·28 [95% CI 0·17-0·47]). Anakinra showed a significant survival benefit when given without dexamethasone (OR 0·23 [95% CI 0·12-0·43]), but not with dexamethasone co-administration (0·72 [95% CI 0·37-1·41]). Anakinra was not associated with a significantly increased risk of secondary infections when compared with standard of care (OR 1·35 [95% CI 0·59-3·10]).
INTERPRETATION: Anakinra could be a safe, anti-inflammatory treatment option to reduce the mortality risk in patients admitted to hospital with moderate to severe COVID-19 pneumonia, especially in the presence of signs of hyperinflammation such as CRP concentrations higher than 100 mg/L. FUNDING: Sobi.
© 2021 Elsevier Ltd. All rights reserved.

Entities:  

Year:  2021        PMID: 34396156      PMCID: PMC8352496          DOI: 10.1016/S2665-9913(21)00216-2

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


Introduction

The COVID-19 pandemic, caused by SARS-CoV-2, has affected more than 200 countries, with millions of confirmed cases and deaths worldwide. The most severe and lethal forms of COVID-19 have been linked to different and possibly combined pathophysiological processes, including severe acute diffuse alveolar damage and hyaline deposits in the lungs induced by SARS-CoV-2, multiple arterial and venous thromboses resulting from both endotheliitis and hypercoagulability, and a hyperinflammatory response caused by overproduction of pro-inflammatory cytokines. Although systemically a cytokine storm might not always occur in patients,2, 3, 4 there are clear indications of pulmonary compartmentalisation of hyperinflammation.5, 6, 7, 8 To control the hyperinflammatory syndrome induced by SARS-CoV-2, in which the interleukin (IL)-1–IL-6 pathway is involved, various targeted therapies have been tested, predominantly in combination with antibiotics and anticoagulants. Anakinra, a recombinant IL-1 receptor antagonist, was selected as a logical candidate in the early days of the pandemic, since it had previously been tested—with encouraging results—in other hyperinflammatory situations, including the macrophage activation syndrome complicating severe bacterial sepsis and the cytokine release syndrome observed during antitumoral chimeric antigen receptor (CAR) T-cell therapy.9, 10, 11 Evidence before this study Since the emergence of the COVID-19 pandemic, numerous drugs have been administered to patients with the aim of preventing major detrimental consequences, such as respiratory and multiorgan failure and death. During the early stages of the pandemic, physicians realised that drugs aiming to regulate the host immune response might play an important role in the treatment of COVID-19. Evidence from a small number of patients with moderate or severe COVID-19 treated with anakinra, an interleukin-1 receptor antagonist, has suggested therapeutic efficacy of the drug. We systematically searched the available literature for published studies of anakinra treatment in patients admitted to hospital with COVID-19, to investigate its effect on mortality. Medline (PubMed), Cochrane, medRxiv, bioRxiv, and ClinicalTrials.gov databases were searched on Dec 28, 2020, using the terms “COVID-19” or “SARS-CoV-2” and “anakinra”, “interleukin-1”, and “interleukin blockade”. Added value of this study This study is, to our knowledge, the first patient-level meta-analysis to analyse the effects of anakinra treatment in patients admitted to hospital with moderate to severe COVID-19, showing a significant reduction in mortality with anakinra and also demonstrating the safety of the treatment. Most importantly, this study identifies a subgroup of patients who might benefit most from treatment with anakinra: those with C-reactive protein concentrations higher than 100 mg/L. Large, randomised controlled trials are urgently needed to further investigate the effectiveness of anakinra in this setting. Implications of all the available evidence Anakinra could be an effective and safe immunomodulatory treatment to prevent unfavourable outcomes in moderate-to-severe cases of pneumonia due to COVID-19. Additionally, anakinra might be helpful in avoiding adverse events, such as the secondary infections observed frequently with dexamethasone use, and could be considered as an alternative treatment option in specific subgroups (eg, patients with diabetes). Larger trials are ongoing, and their results are urgently needed to further investigate the most effective use of anakinra in the treatment of COVID-19 (ie, to establish in which patient population it is most suitable, which is the ideal biomarker to define patient status, which dose should be administered, and which is the most appropriate timepoint to administer the drug during the course of the disease). Case series of a small number of patients with moderate or severe COVID-19 treated with anakinra have been published during the early period of the pandemic, suggesting promising results and paving the way for additional larger studies.12, 13, 14, 15 In most studies, anakinra was administered on an off-label basis in patients with clinical or laboratory signs of hyperinflammation, or both, or in the context of clinical trials, in an attempt to dampen the IL-1-driven inflammation that is believed to play an important role in COVID-19 pathophysiology. We aimed to investigate the effect of anakinra treatment on mortality in patients admitted to hospital with COVID-19, and to better characterise subgroups of patients most likely to benefit from such a tailored immunotherapy.

Methods

Search strategy and selection criteria

This systematic review and patient-level meta-analysis was done according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement, based on a pre-specified protocol (PROSPERO: CRD42020221491). Eligibility criteria were defined with the PICO statement as follows: P=patients admitted to hospital with laboratory-confirmed SARS-CoV-2 infection; I=treatment with anakinra; C=patients receiving standard of care or placebo comparator on top of standard of care; O=mortality rate, and rate of common adverse events such as elevated liver function tests, leukopenia, and secondary infections. All randomised trials, comparative studies, and observational studies, published as full text in English were included, whereas editorials, conference abstracts, studies done in animals, case reports, and articles not written in the English language or not providing the full text were excluded. Systematic reviews were consulted for additional information, but were excluded to avoid duplication. The search was done on Dec 28, 2020, and repeated on Jan 22, 2021, by two independent authors (EKy and EJG-B), across Medline (PubMed), Cochrane, medRxiv, bioRxiv, and ClinicalTrials.gov databases using the following terms: “COVID-19” or “SARS-CoV-2” and “anakinra”, “interleukin-1”, and “interleukin blockade”. Details of the search strategy are provided in the appendix (pp 1–2). Both reviewers assessed all articles first on the basis of the title, then on the basis of the abstract, and finally the full text to identify eligible studies. Any between-reviewer disagreements were resolved by discussion between them. Individual patient-level data were requested from investigators and corresponding authors of all eligible articles. Data from each study were first checked against reported results and queries were resolved with the investigators. Data were assessed in a consistent manner across all studies with standard definitions and variables. Data on the following variables were collected: first author name, country of origin, publication date, study design, total number of patients, criteria for enrolment, number of patients treated with anakinra, number of controls, age and comorbidities of participants, serum ferritin and C-reactive protein (CRP) concentrations at baseline, respiratory ratio at baseline, route of anakinra administration, intake of steroids, mortality, onset of respiratory failure necessitating invasive mechanical ventilation, and onset of adverse events (elevated liver function tests, leukopenia, and secondary infections). If individual patient-level data were not available, all above available data were extracted independently by EKy and EJG-B. The quality of each study was evaluated by EKy and EJG-B with the Newcastle-Ottawa scale. Across the entire process, between-reviewer disagreements were resolved by discussion between them.

Data analysis

The primary endpoint was mortality after 28 days. For studies with a shorter follow-up, data were censored at the last observation. The secondary endpoint was safety, assessed by the rate of adverse events. Odds ratios and their respective 95% CIs were used to compare anakinra-treated patients to control groups for each endpoint. Pre-defined subgroup analyses were done for the primary endpoint according to the following variables: the baseline ratio of the arterial partial oxygen pressure divided by the fraction of inspired oxygen (PaO2/FiO2), baseline CRP and serum ferritin concentrations, and the Charlson Comorbidity Index. A logistic regression analysis was done: first, to detect any interaction effect of anakinra treatment with the different studies; and second, to detect whether the effect of anakinra on the primary outcome remained independent of factors interfering with mortality (ie, age, Charlson comorbidity index, CRP, and PaO2/FiO2). Predefined cutoffs were used for characterisation of the above subgroups.18, 19, 20, 21 Sensitivity analyses were planned for time period (ie, before and after implementation of dexamethasone) and for randomised controlled trials. Meta-analysis of aggregate data was done by the Mantel-Haenszel method. The Sidik-Jonkman estimator was used for τ2 and the Q-profile method used for the confidence interval of τ2 and τ. A continuity correction of 0·1 was applied in studies with zero cell frequencies. Finally, heterogeneity and inconsistency were assessed in a meta-analysis of aggregate data from all eligible studies using the I 2 criterion. The fixed-effects model was used for I 2 less than 50%, and the random-effects model used for I 2 50% or greater. The corresponding forest plot was produced, and publication bias was assessed with the funnel plot. Studies without available individual patient-level data were only included in the aggregate data meta-analysis. No imputation was made for missing data within individual patient-level data. All statistical analyses were done with SPSS (version 23) and Review Manager (version 5.3).

Role of the funding source

Sobi supported this study by providing a small research grant to cover the cost of the statistical analysis. The funder had no role in study design or conduct, data analysis, data interpretation, or in preparation of the manuscript.

Results

209 articles were identified: 208 from the initial search and one from contact with researchers. After removal of duplicates, 178 full-text articles were screened. After excluding 169 records, there were nine eligible studies for which individual patient-level data were sought.22, 23, 24, 25, 26, 27, 28, 29, 30 Aggregate data from these nine studies, comprising 1185 patients, were analysed, and individual patient-level data were provided for six of these studies, comprising 895 patients (figure 1 ). Eight studies were observational (either prospective or retrospective) and only one was a randomised controlled trial. 103 (12%) of 895 patients were on mechanical ventilation at baseline. Among the three studies for which individual patient-level data were not obtained,24, 27, 30 two favoured anakinra treatment27, 30 and one did not. Characteristics of the included studies are summarised in table 1 . Three studies were done in France,22, 23, 24 three in Italy,25, 26, 27 one in the Netherlands, one in Greece, and one in Oman. Data published during the early period of the pandemic in an Italian study were integrally included in a larger study of the same group; thus, to avoid duplication, the first cohort was not included. Seven studies were done before implementation of dexamethasone in standard-of-care treatment of patients with COVID-19; one study recruited anakinra-treated patients after dexamethasone implementation, whereas patients in the control group were recruited before its implementation and all patients in the control group received methylprednisolone; and only one study prospectively recruited both anakinra-treated and control patients after implementation of dexamethasone into standard of care. In another study, methylprednisolone was part of the intervention as it was co-administered with anakinra. Mortality data after 28 days were available from seven studies, whereas data were censored at the last observation in two studies23, 30 with a shorter follow-up. An assessment of the individual risk of bias according to the Newcastle-Ottawa scale is provided in the appendix (p 5). The overall quality of included studies was high.
Figure 1

Study selection

Table 1

Characteristics of included studies

Study type; individual patient data available?Study setting and periodInflammation criteria for inclusionNumber of patients
Route of administrationSteroid intake
Anakinra groupControl group
Cauchois et al (2020)22Observational; yesFrance: not mentionedCRP >110 mg/L1210IntravenousNo dexamethasone as standard of care; no other steroids
Huet et al (2020)23Observational; yesFrance: March, 2020 (historical controls); March 24–April 6, 2020 (anakinra group)..5244SubcutaneousNo dexamethasone as standard of care; steroid pulse in 2 of 52 patients in anakinra group
The CORIMUNO-19 Collaborative group (2021)24Randomised controlled trial; noFrance: April 8–26, 2020CRP >25 mg/L5955IntravenousDexamethasone in 1 of 59 in anakinra group; other glucocorticoids in 6 of 59 in anakinra group, and 8 of 55 in control group
Bozzi et al (2021)25Observational; yesItaly: Feb 25–March 30, 2020CRP > 100 mg/L or ferritin >1000 μg/L, or both6555Subcutaneous; intravenous if on invasive mechanical ventilationNo dexamethasone as standard of care; methylprednisolone co-administered with anakinra
Cavalli et al (2021)26Observational; yesItaly: March 10–17, 2020 (historical controls); March–May, 2020 (anakinra group)CRP >100 mg/L or ferritin >900 μg/L62275IntravenousDexamethasone in 54 of 275 controls and in 7 of 62 in anakinra group
Pontali et al (2021)27Observational; noItaly: Feb 26–April 29, 2020CRP or ferritin >3 times the normal limits6344IntravenousNo dexamethasone as standard of care; methylprednisolone in 33 of 63 patients in anakinra group
Kooistra et al (2020)28Observational; yesNetherlands: March 11–April 27, 2020Ferritin >1800 μg/L; clinical hyperinflammation signs (persistent fever, unexplained progression of multiorgan failure)2139IntravenousDexamethasone in 14 of 39 patients on standard of care and in 3 of 21 in anakinra group
Kyriazopoulou et al (2021)29Observational; yesGreece: April 16–Sept 12, 2020suPAR >6 μg/L130130SubcutaneousDexamethasone as standard of care in 47 of 130 controls and in 52 of 130 in anakinra group
Balkhair et al (2021)30Observational; noOman: April 1–June 14, 2020 (historical controls); June 15–July 25, 2020 (anakinra group)..4524SubcutaneousDexamethasone in 24 of 45 in anakinra group, and 3 of 24 controls; methylprednisolone in 1 of 45 in anakinra group, and in 13 of 24 controls

CRP=C-reactive protein. suPAR=soluble urokinase-type plasminogen activator receptor.

Study selection Characteristics of included studies CRP=C-reactive protein. suPAR=soluble urokinase-type plasminogen activator receptor. Aggregate data from nine studies, comprising 1185 patients (509 on anakinra and 676 controls), showed a significant reduction in mortality among anakinra-treated patients compared with patients receiving standard of care with or without placebo; the pooled odds ratio (OR) for mortality was 0·37 (95% CI 0·27–0·51; I 2 31%), as shown in figure 2 . There was no evidence of publication bias (test for funnel plot asymmetry: t=–0·9137, p=0·39; appendix p 6). In the individual patient-level meta-analysis, comprising 895 patients, 38 (11%) of 342 anakinra-treated patients died versus 137 (25%) of 553 patients receiving standard of care with or without placebo (OR 0·38 [95% CI 0·26–0·56]; p<0·0001; table 2 ). No interaction effect was observed among the six studies and anakinra treatment for the primary outcome (p=0·15; table 2). After adjusting for age, comorbidities, baseline PaO2/FiO2, lymphopenia and CRP concentrations, anakinra was shown to independently protect against mortality (adjusted OR 0·32 [95% CI 0·20–0·51]; p<0·0001; table 2). Similar ORs were estimated for anakinra treatment after adjustment for ferritin (data available for 486 patients; adjusted OR 0·35 [95% CI 0·23–0·52]; p<0·0001) and IL-6 concentrations (data available for 530 patients; 0·54 [0·33–0·87]; p=0·01). The predefined sensitivity analyses for randomised controlled trials were not possible, since only one randomised controlled trial was included in this meta-analysis.
Figure 2

Forest plot showing mortality from aggregate data meta-analysis

Odds ratios calculated with a fixed-effects Mantel-Haenszel test.

Table 2

Univariate and multivariate logistic regression analysis of variables associated with mortality in the individual patient-level data analysis of 895 patients

Univariate analysis
Multivariate analysis
Odds ratio (95% CI)p valueOdds ratio (95% CI)p value
Anakinra treatment0·38 (0·26–0·56)<0·00010·32 (0·20–0·51)<0·0001
Age >72 years*4·97 (3·5–7·06)<0·00011·89 (1·12–3·20)0·018
Charlson comorbidity index >2*6·35 (4·01–10·06)<0·00013·75 (1·99–7·07)<0·0001
PaO2/FiO2 <1002·18 (1·50–3·17)<0·00012·89 (1·80–4·64)<0·0001
CRP >100 mg/L1·76 (1·21–2·55)0·0031·21 (0·76–1·92)0·42
Lymphopenia (<580 lymphocytes per mm3)*3·08 (2·12–4·49)<0·00013·05 (1·90–4·89)<0·0001
Study..0·15....

CRP=C-reactive protein. PaO2/FiO2=ratio of the arterial partial oxygen pressure divided by the fraction of inspired oxygen.

For continuous variables, the best cutoff was estimated from the receiver operating characteristic using the Youden Index.

Forest plot showing mortality from aggregate data meta-analysis Odds ratios calculated with a fixed-effects Mantel-Haenszel test. Univariate and multivariate logistic regression analysis of variables associated with mortality in the individual patient-level data analysis of 895 patients CRP=C-reactive protein. PaO2/FiO2=ratio of the arterial partial oxygen pressure divided by the fraction of inspired oxygen. For continuous variables, the best cutoff was estimated from the receiver operating characteristic using the Youden Index. The mortality reduction associated with anakinra treatment was significant in the absence of dexamethasone co-administration (559 patients; OR 0·23 [95% CI 0·12–0·43]), but not with co-administration of dexamethasone (239 patients; 0·72 [0·37–1·41]; pBreslow=0·012). Similarly, this beneficial effect of anakinra was significant in patients breathing spontaneously at baseline (792 patients; OR 0·30 [95% CI 0·19–0·48]) but not in the smaller subgroup of those who were mechanically ventilated at baseline (103 patients; 0·52 [0·20–1·36]; pBreslow=0·45). Subgroup analyses adjusting for CRP and ferritin concentrations and baseline PaO2/FiO2 showed that anakinra was more effective in lowering mortality in patients presenting with CRP concentrations higher than 100 mg/L (OR 0·28 [95% CI 0·17–0·47]), but the therapeutic efficacy of anakinra did not appear to be related to baseline ferritin concentrations or baseline PaO2/FiO2 (figure 3 ). In a subgroup analysis of 116 patients with diabetes and 299 patients without diabetes, the effect of anakinra on mortality was similar in both groups (OR 0·40 [95% CI 0·17–0·91] vs 0·37 [0·19–0·74]; pBreslow=0·90).
Figure 3

Subgroup analysis of mortality in patients treated with anakinra versus those treated with standard of care

p values of the interaction effect of the treatment on mortality, in each subgroup and among the studies are provided. CRP=C-reactive protein. CCI=Charlson comorbidity index. PaO2/FiO2=ratio of the arterial partial oxygen pressure divided by the fraction of inspired oxygen.

Subgroup analysis of mortality in patients treated with anakinra versus those treated with standard of care p values of the interaction effect of the treatment on mortality, in each subgroup and among the studies are provided. CRP=C-reactive protein. CCI=Charlson comorbidity index. PaO2/FiO2=ratio of the arterial partial oxygen pressure divided by the fraction of inspired oxygen. The safety of anakinra was investigated as a secondary endpoint. Anakinra treatment was associated with elevation of liver function tests (pooled OR 3·00 [95% CI 0·26–34·66]; I 2 85%), as well as onset of leukopaenia (3·71 [0·49–27·84]; I 2 51%) and secondary infection (1·35 [0·59–3·10]; I 2 79%; appendix p 7). Thromboembolic events were reported in only two studies;23, 28 thus, no meta-analysis was done for this endpoint. Nevertheless, in both studies, anakinra did not increase the thromboembolic risk compared to standard-of-care treatment or placebo, or both.

Discussion

The results of this systematic review and meta-analysis indicate that, in patients admitted to hospital with pneumonia due to COVID-19, treatment with anakinra reduces mortality when compared with standard of care, with or without placebo. This survival benefit was most profound in patients with hyperinflammation and CRP concentrations higher than 100 mg/L. We also observed a non-significant increase in the risk of adverse events with anakinra. Identifying and preventing unfavourable outcomes in patients with COVID-19 is a real challenge. Algorithms have been constructed and validated, taking into account various clinical variables, including older age, male sex, high body-mass index, and comorbidities.32, 33, 34, 35 Marked lymphopenia and elevated inflammatory biomarkers such as ferritin, IL-6, and CRP were first shown to be associated with severe disease in early reports of patients with COVID-19. IL-6 is a potent stimulator of CRP production by the liver. Therefore, CRP concentrations probably represent the simplest biological test to indirectly evaluate the intensity of ongoing inflammation and a signal indicating a window of opportunity for targeted immunotherapy. Our results show a profound benefit of anakinra in patients with CRP concentrations higher than 100 mg/L. Some patients with severe COVID-19 develop a hyperinflammatory phenotype known as a cytokine storm. Cytokine storm syndrome is a life-threatening condition requiring intensive care and with a high mortality rate, characterised by overwhelming systemic inflammation, with hyper-ferritinaemia, haemodynamic instability, and multiorgan failure. The trigger for cytokine storm syndrome might be extensive cell death, resulting in massive release of pro-inflammatory intracellular mediators and danger signals, notably including IL-1α. These intracellular mediators in turn induce an uncontrolled immune response with continuous activation and expansion of immune cells, which produce large amounts of other pro-inflammatory cytokines such as IL-1β, IL-6, and IL-18, as well as interferon-γ (IFNγ) and tumour necrosis factor (TNF). Not all patients experience a cytokine storm, but even in those who do not, the pulmonary inflammatory response can be exacerbated and these patients might benefit from immunomodulating therapies.5, 6, 8 IL-1 is located upstream of IL-6 in the inflammation cascade, and such a hierarchical process could explain why targeting IL-1 appears to be more efficient in hyperinflammatory forms of COVID-19 than IL-6 inhibition, which has already provided encouraging results in randomised controlled trials of patients with severe COVID-19 admitted to the intensive care unit.40, 41, 42 Dexamethasone was the first immune modulator to show a clear survival benefit when administered to patients admitted to hospital with COVID-19 in need of oxygen supplementation in the RECOVERY trial; thus, after July, 2020, dexamethasone was incorporated into the standard of care for patients admitted to hospital with COVID-19. The cohort studies included in the current analysis of anakinra in patients with COVID-19 were not randomised and included patients receiving usual care as historical controls, mainly before implementation of dexamethasone as standard of care. Although the cohort design clearly has its limitations, the observed magnitude of the protective effect of anakinra was convincing enough to continue with additional studies, such as the open-label single-arm prospective SAVE study, which concluded that soluble urokinase-type plasminogen activator receptor (suPAR)-guided anakinra treatment prevented onset of respiratory failure necessitating mechanical ventilation and reduced mortality. The only randomised controlled trial completed so far was initiated by the French consortium CORIMUNO. It did not replicate the results observed in observational studies, and was prematurely interrupted because of assumed futility, suggesting that anakinra was not effective in reducing the need for non-invasive or mechanical ventilation or in preventing deaths in patients with COVID-19 and mild to moderate pneumonia. However, the 14-day mortality rate was 15% in the anakinra group compared to 24% in the usual care group, and the WHO Clinical Progression Scale was also suggestive of a beneficial effect of anakinra at day 14. Unfortunately, stopping for futility increases the risk of imbalance in prognostic factors and leaves the primary research question unanswered, especially when the decision to stop early does not follow a pre-specified stopping boundary. Additionally, the cutoff criterion chosen for CRP in the CORIMUNO study was relatively low (>25 mg/L), which suggests that a proportion of patients were not in the hyperinflammatory phase of COVID-19, during which anakinra is probably the most effective. In the present analysis, in contrast to published evidence supporting a synergistic effect of dexamethasone with IL-6 inhibition,41, 42 we did not observe a significant survival benefit of anakinra when co-administered with dexamethasone. For patients already under mechanical ventilation at the start of treatment, anakinra similarly did not show a significant survival benefit. However, decreased statistical power due to the small number of patients included in these subgroups probably contributed to these outcomes. It cannot be ruled out that anakinra has no additional benefit when co-administered with dexamethasone, or if anakinra is given too late, when severe organ failure is already apparent and organ support is needed. However, anakinra might be a safer alternative to dexamethasone when considering the risk of secondary infections, which was low in early reports but might rise after more widespread use of dexamethasone.44, 45 An additional benefit might be seen in specific populations, such as patients with diabetes, who are more susceptible to secondary infections and less likely to tolerate hyperglycaemia. Indeed, our study showed a similar risk of secondary infections in the anakinra group compared with the control group, and a survival benefit of anakinra in a subgroup of patients with diabetes. To the best of our knowledge, this is the first patient-level meta-analysis to investigate the effect of anakinra treatment in patients admitted to hospital with COVID-19, showing a significant reduction in mortality with anakinra, and characterising a subgroup of patients (those with CRP >100 mg/L) as the best candidates for this treatment. The main limitations of this meta-analysis are the retrospective observational design of the majority of studies included, raising concerns about bias and possible confounders among the compared groups, as well as the fact that most of the studies were done before dexamethasone was incorporated into standard-of-care treatment of patients admitted to hospital with COVID-19. Larger randomised trials are urgently needed to clarify the place of anakinra in the anti-COVID19 armamentarium; ongoing trials (appendix pp 3–4) include the REMAP-CAP trial (an international, multifactorial, adaptive platform randomly assigning patients to tocilizumab or sarilumab or anakinra or standard of care and comparing in-hospital mortality and days free of organ support to day 21 among the groups), and the placebo-controlled randomised controlled trial SAVE-MORE (NCT04680949) in Greece and Italy, comparing 28-day outcomes with anakinra versus placebo in patients already receiving standard-of-care treatment for COVID-19.

Data sharing

Data collected for this study, including de-identified individual participant data, will be made available following publication. Requests for data can be made to the corresponding author, outlining specific data needs, analysis plans and dissemination plans. These requests will be reviewed by a steering committee of the International Collaborative Group for Anakinra in COVID-19. Data will be shared after a data access agreement is signed, for any proposed purpose approved by the steering committee and all data will be de-identified and protected health information stripped.

Declaration of interests

EJG-B has received honoraria from AbbVie USA, Abbott CH, Biotest Germany, Brahms, InflaRx, MSD Greece, XBiotech, and Angelini Italy; independent educational grants from AbbVie, Abbott CH, Astellas Pharma Europe, AxisShield, bioMérieux, InflaRx, the Medicines Company and XBiotech; and funding from the FrameWork 7 program HemoSpec (granted to the National and Kapodistrian University of Athens), the Horizon2020 Marie-Curie Project European Sepsis Academy (granted to the National and Kapodistrian University of Athens), and the Horizon 2020 European Grant ImmunoSep (granted to the Hellenic Institute for the Study of Sepsis). MG has received speakers' fees and unrestricted grants from Novartis and Sobi. PP, MKo, and EKo are funded by a COVID-19 grant paid to the Radboud University Medical Center (Radboudumc). JE-O is a co-founder, shareholder, and CSO of ViroGates, Denmark, and named inventor on patents on suPAR owned by Copenhagen University Hospital Hvidovre, Denmark. GK has received from ROCHE-CHUGAI Research Grants (<€20 000), fees from Sobi France for scientific presentations (<€4000) and participated in a SOBI Advisory Board on COVID (unpaid) and in an OLATEC Monitoring Board (unpaid). GCa has received speakers' and consulting fees from Novartis and Sobi. LD has received grants (paid to LD's institution outside the current work) from AbbVie, Bristol-Myers Squibb, Celgene, GlaxoSmithKline, Janssen, Kiniksa, Merk Sharp & Dohme, Mundipharma Pharmaceuticals, Novartis, Pfizer, Roche, Sanofi Genzyme, and Sobi; and consulting fees from AbbVie, Amgen, Biogen, Bristol-Myers Squibb, Celltrion, Galapagos, GlaxoSmithKline, Kiniksa, Novartis, Pfizer, Roche, Sanofi-Genzyme, and Sobi. GH reports consultancy fees from Bristol-Myers Squibb, Lilly, Novartis; speakers' fees from AbbVie, Bristol-Myers-Squibb, Celgene, Lilly, Novartis, Pfizer, Roche, Sanofi-Aventis; support for attending meetings from Bristol-Myers-Squibb, Fresenius-Kabi, Janssen-Cilag, Lilly, Mylan, Roche, UCB; and participation on advisory boards for Bristol-Myers-Squibb and Lilly. FV has received (via the Institut de Recherche pour le Développement) Horizon 2020-EDCTP-European Grants: PANDORA and ITAIL-COVID. All other authors declare no competing interests.
  46 in total

1.  Acute respiratory distress syndrome: the Berlin Definition.

Authors:  V Marco Ranieri; Gordon D Rubenfeld; B Taylor Thompson; Niall D Ferguson; Ellen Caldwell; Eddy Fan; Luigi Camporota; Arthur S Slutsky
Journal:  JAMA       Date:  2012-06-20       Impact factor: 56.272

Review 2.  Role of C-Reactive Protein at Sites of Inflammation and Infection.

Authors:  Nicola R Sproston; Jason J Ashworth
Journal:  Front Immunol       Date:  2018-04-13       Impact factor: 7.561

3.  Bacterial and fungal superinfections in critically ill patients with COVID-19.

Authors:  Matteo Bassetti; Marin H Kollef; Jean-Francois Timsit
Journal:  Intensive Care Med       Date:  2020-09-09       Impact factor: 17.440

4.  Effect of anakinra versus usual care in adults in hospital with COVID-19 and mild-to-moderate pneumonia (CORIMUNO-ANA-1): a randomised controlled trial.

Authors: 
Journal:  Lancet Respir Med       Date:  2021-01-22       Impact factor: 30.700

5.  Lung compartmentalization of inflammatory biomarkers in COVID-19-related ARDS.

Authors:  Youenn Jouan; Thomas Baranek; Mustapha Si-Tahar; Christophe Paget; Antoine Guillon
Journal:  Crit Care       Date:  2021-03-24       Impact factor: 9.097

6.  Anakinra treatment in critically ill COVID-19 patients: a prospective cohort study.

Authors:  Emma J Kooistra; Nicole J B Waalders; Matthijs Kox; Peter Pickkers; Inge Grondman; Nico A F Janssen; Aline H de Nooijer; Mihai G Netea; Frank L van de Veerdonk; Esther Ewalds; Johannes G van der Hoeven
Journal:  Crit Care       Date:  2020-12-10       Impact factor: 9.097

7.  An open label trial of anakinra to prevent respiratory failure in COVID-19.

Authors:  Evdoxia Kyriazopoulou; Periklis Panagopoulos; Symeon Metallidis; George N Dalekos; Garyphallia Poulakou; Nikolaos Gatselis; Eleni Karakike; Maria Saridaki; Georgia Loli; Aggelos Stefos; Danai Prasianaki; Sarah Georgiadou; Olga Tsachouridou; Vasileios Petrakis; Konstantinos Tsiakos; Maria Kosmidou; Vassiliki Lygoura; Maria Dareioti; Haralampos Milionis; Ilias C Papanikolaou; Karolina Akinosoglou; Dimitra-Melia Myrodia; Areti Gravvani; Aliki Stamou; Theologia Gkavogianni; Konstantina Katrini; Theodoros Marantos; Ioannis P Trontzas; Konstantinos Syrigos; Loukas Chatzis; Stamatios Chatzis; Nikolaos Vechlidis; Christina Avgoustou; Stamatios Chalvatzis; Miltiades Kyprianou; Jos Wm van der Meer; Jesper Eugen-Olsen; Mihai G Netea; Evangelos J Giamarellos-Bourboulis
Journal:  Elife       Date:  2021-03-08       Impact factor: 8.140

8.  Dexamethasone in Hospitalized Patients with Covid-19.

Authors:  Peter Horby; Wei Shen Lim; Jonathan R Emberson; Marion Mafham; Jennifer L Bell; Louise Linsell; Natalie Staplin; Christopher Brightling; Andrew Ustianowski; Einas Elmahi; Benjamin Prudon; Christopher Green; Timothy Felton; David Chadwick; Kanchan Rege; Christopher Fegan; Lucy C Chappell; Saul N Faust; Thomas Jaki; Katie Jeffery; Alan Montgomery; Kathryn Rowan; Edmund Juszczak; J Kenneth Baillie; Richard Haynes; Martin J Landray
Journal:  N Engl J Med       Date:  2020-07-17       Impact factor: 91.245

9.  Anakinra combined with methylprednisolone in patients with severe COVID-19 pneumonia and hyperinflammation: An observational cohort study.

Authors:  Giorgio Bozzi; Davide Mangioni; Francesca Minoia; Stefano Aliberti; Giacomo Grasselli; Laura Barbetta; Valeria Castelli; Emanuele Palomba; Laura Alagna; Andrea Lombardi; Riccardo Ungaro; Carlo Agostoni; Marina Baldini; Francesco Blasi; Matteo Cesari; Giorgio Costantino; Anna Ludovica Fracanzani; Nicola Montano; Valter Monzani; Antonio Pesenti; Flora Peyvandi; Marcello Sottocorno; Antonio Muscatello; Giovanni Filocamo; Andrea Gori; Alessandra Bandera
Journal:  J Allergy Clin Immunol       Date:  2020-11-19       Impact factor: 10.793

10.  Prediction models for covid-19 outcomes.

Authors:  Matthew Sperrin; Brian McMillan
Journal:  BMJ       Date:  2020-10-20
View more
  40 in total

Review 1.  Controlling the Burden of COVID-19 by Manipulating Host Metabolism.

Authors:  Logan Miller; Engin Berber; Deepak Sumbria; Barry T Rouse
Journal:  Viral Immunol       Date:  2021-12-13       Impact factor: 2.257

2.  The course of action for effective anti-cytokine treatment in COVID-19.

Authors:  Giulio Cavalli; Lorenzo Dagna
Journal:  Lancet Respir Med       Date:  2021-10-29       Impact factor: 30.700

Review 3.  Antiviral therapy and immunotherapy of COVID-19.

Authors:  C Crespillo; S Moreno
Journal:  Rev Esp Quimioter       Date:  2021-09-30       Impact factor: 1.553

Review 4.  NLRP3 inflammasome activation and SARS-CoV-2-mediated hyperinflammation, cytokine storm and neurological syndromes.

Authors:  Debashis Dutta; Jianuo Liu; Huangui Xiong
Journal:  Int J Physiol Pathophysiol Pharmacol       Date:  2022-06-15

Review 5.  The AI-Assisted Identification and Clinical Efficacy of Baricitinib in the Treatment of COVID-19.

Authors:  Peter J Richardson; Bruce W S Robinson; Daniel P Smith; Justin Stebbing
Journal:  Vaccines (Basel)       Date:  2022-06-15

Review 6.  Immunomodulation therapy offers new molecular strategies to treat UTI.

Authors:  Daniel Butler; Ines Ambite; Murphy Lam Yim Wan; Thi Hien Tran; Björn Wullt; Catharina Svanborg
Journal:  Nat Rev Urol       Date:  2022-06-22       Impact factor: 16.430

Review 7.  Neutrophils in COVID-19: Not Innocent Bystanders.

Authors:  Ellen McKenna; Richard Wubben; Johana M Isaza-Correa; Ashanty M Melo; Aisling Ui Mhaonaigh; Niall Conlon; James S O'Donnell; Clíona Ní Cheallaigh; Tim Hurley; Nigel J Stevenson; Mark A Little; Eleanor J Molloy
Journal:  Front Immunol       Date:  2022-06-01       Impact factor: 8.786

Review 8.  COVID-19 in Patients with Hematologic Malignancies: Clinical Manifestations, Persistence, and Immune Response.

Authors:  Ivan Gur; Amir Giladi; Yonathan Nachum Isenberg; Ami Neuberger; Anat Stern
Journal:  Acta Haematol       Date:  2022-03-02       Impact factor: 3.068

Review 9.  Interleukin-1 blocking agents for treating COVID-19.

Authors:  Mauricia Davidson; Sonia Menon; Anna Chaimani; Theodoros Evrenoglou; Lina Ghosn; Carolina Graña; Nicholas Henschke; Elise Cogo; Gemma Villanueva; Gabriel Ferrand; Carolina Riveros; Hillary Bonnet; Philipp Kapp; Conor Moran; Declan Devane; Joerg J Meerpohl; Gabriel Rada; Asbjørn Hróbjartsson; Giacomo Grasselli; David Tovey; Philippe Ravaud; Isabelle Boutron
Journal:  Cochrane Database Syst Rev       Date:  2022-01-26

Review 10.  Immunomonitoring of Monocyte and Neutrophil Function in Critically Ill Patients: From Sepsis and/or Trauma to COVID-19.

Authors:  Ivo Udovicic; Ivan Stanojevic; Dragan Djordjevic; Snjezana Zeba; Goran Rondovic; Tanja Abazovic; Srdjan Lazic; Danilo Vojvodic; Kendrick To; Dzihan Abazovic; Wasim Khan; Maja Surbatovic
Journal:  J Clin Med       Date:  2021-12-12       Impact factor: 4.241

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.