Literature DB >> 32814839

Compassionate use of JAK1/2 inhibitor ruxolitinib for severe COVID-19: a prospective observational study.

Alessandro M Vannucchi1, Benedetta Sordi2, Francesco Annunziato3,4, Paola Guglielmelli2, Alessandro Morettini5, Carlo Nozzoli6, Loredana Poggesi7, Filippo Pieralli8, Alessandro Bartoloni9, Alessandro Atanasio2, Filippo Miselli2, Chiara Paoli2, Giuseppe G Loscocco2, Andrea Fanelli5, Ombretta Para6, Andrea Berni7, Irene Tassinari8, Lorenzo Zammarchi9, Laura Maggi3, Alessio Mazzoni3, Valentina Scotti5, Giorgia Falchetti5, Danilo Malandrino7, Fabio Luise8, Giovanni Millotti9, Sara Bencini4, Manuela Capone3, Marie Pierre Piccinni3.   

Abstract

Overwhelming inflammatory reactions contribute to respiratory distress in patients with COVID-19. Ruxolitinib is a JAK1/JAK2 inhibitor with potent anti-inflammatory properties. We report on a prospective, observational study in 34 patients with COVID-19 who received ruxolitinib on a compassionate-use protocol. Patients had severe pulmonary disease defined by pulmonary infiltrates on imaging and an oxygen saturation ≤ 93% in air and/or PaO2/FiO2 ratio ≤ 300 mmHg. Median age was 80.5 years, and 85.3% had ≥ 2 comorbidities. Median exposure time to ruxolitinib was 13 days, median dose intensity was 20 mg/day. Overall survival by day 28 was 94.1%. Cumulative incidence of clinical improvement of ≥2 points in the ordinal scale was 82.4% (95% confidence interval, 71-93). Clinical improvement was not affected by low-flow versus high-flow oxygen support but was less frequent in patients with PaO2/FiO2 < 200 mmHg. The most frequent adverse events were anemia, urinary tract infections, and thrombocytopenia. Improvement of inflammatory cytokine profile and activated lymphocyte subsets was observed at day 14. In this prospective cohort of aged and high-risk comorbidity patients with severe COVID-19, compassionate-use ruxolitinib was safe and was associated with improvement of pulmonary function and discharge home in 85.3%. Controlled clinical trials are necessary to establish efficacy of ruxolitinib in COVID-19.

Entities:  

Year:  2020        PMID: 32814839      PMCID: PMC7437386          DOI: 10.1038/s41375-020-01018-y

Source DB:  PubMed          Journal:  Leukemia        ISSN: 0887-6924            Impact factor:   11.528


Introduction

Since the first cases reported in December 2019, the pandemic disease COVID-19, due to SARS-CoV-2, has caused more than 376,000 deaths over the world, including 33,500 in Italy [1, 2]. The symptoms caused by SARS-CoV-2 vary from mild respiratory symptoms to severe pneumonia and acute respiratory distress syndrome (ARDS), thromboembolic complications, multiorgan failure, with an overall case fatality ratio of 1–3%, that increased to 14.5 and 27% in patients older than 80 and 85 years, respectively, in two large series [3, 4]. Effective therapies for COVID-19 are not fully established yet, although the RNA polymerase inhibitor remdesivir was recently shown to be superior to placebo in shortening time to recovery and reducing mortality [5-7]. The pathogenesis of COVID-19 involves not only viral replication, but also an overexuberant inflammatory reaction. Treating hyperinflammation may represent a reasonable therapeutic option, ideally in association with antiviral drugs, to limit the extent of tissue damage, especially in the lung, and the rising mortality in COVID-19. Anti-interleukin (IL)-6 and antitumor necrosis factor antibodies [8-10], and the IL-1 receptor antagonist anakinra [11], are under scrutiny to such purpose. Ruxolitinib is a potent JAK1 and JAK2 inhibitor, with good safety profile, that is approved for myelofibrosis [12, 13] and polycythemia vera [14], two myeloproliferative neoplasms characterized by over-inflammation. Ruxolitinib showed clinical activity also in hemophagocytic lymphohistiocytosis [15], and was superior to conventional therapy in acute graft-versus-host disease [16], two largely cytokine-driven diseases. Herein, we report outcomes of patients with severe respiratory manifestations of COVID-19, who received ruxolitinib on a compassionate-use protocol and were enrolled in a prospective observational study.

Methods

Study oversight

On April 2, 2020, the Italian Agency for Drug (AIFA) and Istituto Spallanzani approved a treatment protocol study (No. 47) for compassionate use of ruxolitinib in patients with SARS-CoV-2 infection, for up to 28 days. Eligible patients have a positive polymerase chain reaction (PCR) assay on nasopharyngeal swab or lower respiratory tract specimen, and severe COVID-19 manifestations, as defined by presence of pulmonary infiltrates on imaging plus an oxygen saturation ≤ 93% on room air and/or an arterial oxygen partial pressure (PaO2)/fraction of inspired oxygen (FiO2) (P/F) ratio ≤ 300 mmHg. An impaired renal function, as defined by serum creatinine > 2 mg/dl or an estimated creatinine clearance < 30 ml/min, and inability to comply with treatment instructions, was exclusion criteria; patients requiring invasive mechanical ventilation were excluded. The drug supplier, Novartis, had no role in patient selection. A separate observational, prospective, study protocol (RUXO-COVID), was approved by institutional ethic committee in Florence on April 5, 2020 (No. 17104); it allowed the collection of clinical and laboratory data, as well as blood samples for exploratory analyses, in ruxolitinib-eligible patients who had signed a separate, informed, written consent. Novartis had no role in the design of the observational study, data collection, analysis, and interpretation. The study was conducted in accordance with the principles of the declaration of Helsinki and the Good Clinical Practice guidelines. The study received support from Associazione Italiana per la Ricerca sul Cancro, a no-profit organization (Mynerva project). The draft of the paper was prepared by lead authors, with input from all authors, that vouch for the accuracy and completeness of the data and agree with their interpretation.

Patients and treatment

Patients were monitored daily regarding health status, oxygen support, ongoing therapies, and adverse events. Blood samples were routinely obtained for blood cell count and chemistry, serum ferritin, D-dimer and C-reactive protein (CRP) determination. Ruxolitinib was administered at a starting daily dose of 5 mg BID; the dose was increased to 10 mg BID after 24–48 h in case there was no improvement of respiratory function and/or oxygen support from baseline, provided no adverse event ≥ grade 3 was observed; further escalation to 25 mg daily was allowed after an additional 48 h. Ruxolitinib was administered with an adaptive approach that allowed patients to receive any other available therapies for COVID-19, as per institutional protocols.

Study assessment

The following clinical variables were collected: type of oxygen support (noninvasive positive pressure ventilation (NIPPV); high-flow nasal cannulae oxygenation (HFNC); low-flow oxygen); switch to mechanical ventilation; adverse events; hospital discharge; death. After hospital discharge, patients were reached by telephone calls up to day 28, to collect information about their general health status and oxygen support. Patients were categorized, at baseline (before taking the first ruxolitinib dose), and daily thereafter, according to modified Ordinary Scale for Clinical Improvement, as recommended by the WHO R&D Blueprint expert group [17]. The seven categories are: (1) not hospitalized, with recovery of normal activities; (2) not hospitalized, with residual limitations of normal activities; (3)hospitalized, not requiring oxygen therapy; (4) hospitalized, requiring low-flow oxygen; (5) hospitalized, requiring high-flow oxygen or noninvasive ventilation; (6) hospitalized, requiring intubation and mechanical ventilation, or ventilation plus organ support, or ECMO; (7) death. Adverse events, irrespective of possible causal association with ruxolitinib, were listed according to the National Cancer Institute Common Terminology Criteria for Adverse Events, v5.0 [18].

Exploratory laboratory assessment

Blood samples for exploratory analyses were obtained at baseline and days 7 and 14. Immunophenotyping of peripheral blood cells was performed by multiparametric flow cytometry [19] using fluorochrome-conjugated antibodies to lineage-associated surface markers (Supplementary Methods; Table S1). Staining of intracellular cytokines was performed on fixed and permeabilized peripheral blood mononuclear cells, after polyclonal stimulation [13]. Ki67 expression was analyzed using anti-Human Foxp3 Staining Set [20]. The quantitative determination of a panel of 27 serum cytokines was performed by a bead-based multiplex immunoassay [21].

Statistical methods

This observational study had no sample-size calculation. The analysis included all patients who signed the informed consent form in the period from April 7 to May 8, 2020, before the enrollment was interrupted owing to the rapid decline of hospitalizations for COVID-19. Clinical improvement was described with the use of Kaplan–Meier analysis. Association of baseline characteristics with clinical outcomes was evaluated using Cox proportional hazards regression; since the analysis did not include correction for multiple comparisons of association, results are reported as point estimates and 95% confidence intervals (CI). Differences between longitudinal laboratory values were analyzed using two-tailed paired Student’s t-test, or Mann–Whitney U test, as appropriate. Analyses were performed with the SPSS software, version 26 (IBM Corp).

Results

Patient disposition

In total, 40 patients referring to Azienda Ospedaliera-Universitaria Careggi, Florence, from April 7 to May 8, 2020, fulfilled the criteria for compassionate use of ruxolitinib; they also consented to enter the prospective observational study, whose results are reported herein. Six patients did not receive the treatment because of worsening thrombocytopenia, withdrawal of consent, early shift to intubation (n = 1 each), and early death (n = 3). Thirty-four patients received at least one dose of ruxolitinib and were included in the analysis; of these, 29 patients (85.3%) were discharged home by the 28-day observation period; 2 patients died, 3 patients were still hospitalized by day 28. Patient disposition is shown in Fig. S1.

Baseline characteristics of the patients

Table 1 shows baseline demographic, clinical, and laboratory characteristics of the 34 patients who received ruxolitinib. Eighteen patients (52.9%) were male; median age was 80.5 years (interquartile (IQR), 70–85); 52.9% of the patients were 80 years or older. Two or more comorbid conditions were found in 29 patients (85.3%), and included hypertension (n = 24; 70.6%), diabetes (n = 9; 26.5%), chronic heart disease (n = 19; 55.9%), chronic pulmonary disease (n = 10; 29.4%), chronic kidney disease (n = 1; 2.9%), cancer (n = 10; 29.4%), neurologic impairment (n = 15; 44.1%), autoimmune disease (n = 5; 14.7%). The median comorbidity Charlson index was 6 (IQR, 4.2–6.0). Ten patients (29.4%) were active smokers or had a history of smoking.
Table 1

Baseline demographic, clinical and laboratory characteristics of the patients who received ruxolitinib.

CharacteristicsTotal (n = 34)
Sex, male—No. (%)18 (52.9)
Median age (IQR), years80.5 (70–85)
Age category—No. (%)
  <60 years4 (11.8)
  60–<80 years12 (35.3)
  ≥80 years18 (52.9)
Comorbidities—No. (%)
  Hypertension24 (70.6)
  Diabetes9 (26.5)
  Chronic heart disease19 (55.9)
  Chronic pulmonary disease10 (29.4)
  Chronic kidney disease1 (2.9)
  Cancer10 (29.4)
  Neurologic impairment15 (44.1)
  Autoimmune disease5 (14.7)
  One comorbidity5 (14.7)
  Two or more comorbidities29 (85.3)
  Smoking habit10 (29.5)
Charlson Comorbidity Index, median (IQR)6.0 (4.2–6.0)
Median duration (IQR) of symptoms before ruxolitinib—days8.0 (3.5–11.5)
Stage according to the seven-category ordinal scale (mod)—score No. (%)
  517 (50.0)
  416 (47.1)
  31 (2.9)
Oxygen support—No. (%)
 High-flow oxygen
   Noninvasive positive pressure ventilation (NIPPV), or high-flow nasal cannula (HFNC)7 (20.6)
  Standard high-flow oxygen (FiO2 > 40%)10 (29.4)
  Low-flow oxygen16 (47.1)
  Ambient air1 (2.9)
Median oxygen saturation on room air (IQR)—(of 29 patients with available information)91 (89–93)
Median PaO2/FiO2 (P/F) value (IQR)240 (128–277)
SOFA score—points, No. (%)
  0–11 (2.9)
  2–323 (67.6)
  4–510 (29.4)
  >50
PaO2/FiO2 (P/F), No. (%)
  ≥3004 (11.8)
  ≥200 < 30015 (44.1)
  ≥100 < 20010 (29.4)
  <1005 (14.7)
Laboratory characteristics, median (IQR)
  Leukocytes—×109/l5.57 (4.58–8.59)
  Lymphocytes—×109/l0.78 (0.65–1.2)
  Hemoglobin—g/l122 (108–129)
  Platelets—×109/l184 (160–256)
  D-dimer—ng/m1031 (750–1478)
  Ferritin—mg/l639 (349–838)
  C-reactive protein—mg/l73 (39–111)
Concomitant medications for COVID-19—No. (%)
  Lopinavir/ritonavir12 (35.3)
  Darunavir/cobicistat8 (23.5)
  Remdesivir1 (2.9)
  Hydroxychloroquine31 (91.2)
  Heparin34 (100)
  Corticosteroids10 (29.4)
  Antibiotics26 (76.5)
  Antifungal2 (5.9)
Baseline demographic, clinical and laboratory characteristics of the patients who received ruxolitinib. The median number of days between symptoms onset and start of ruxolitinib was 8 (IQR, 3.5–11.5). According to the ordinal scale, 17 patients (50.0%) met criteria for category 5, of which 7 patients (41.2%) required NIPPV/HFNC and 10 patients (58.8%) required standard high-flow oxygen (FiO2 > 40%); 16 patients (47.1%) met criteria for category 4, and received low-flow oxygen; one patient (2.9%) had dyspnea but maintained a partial oxygen saturation of 93% while breathing ambient air (category 3). The median oxygen saturation on room air was 91% (IQR, 89–93%), and the median P/F ratio was 240 mmHg (IQR, 128–277) [22]. Four patients (11.8%) had a P/F ratio > 300 (range, 301–333), 15 patients (44.1%) were ≥200 < 300, 10 patients (29.4%) were ≥100 < 200, 5 patients (14.7%) were <100. The distribution of patients according to SOFA score was as follows: 1 patient (2.9%) was 0–1 point, 23 patients (67.6%) 2–3 points, 10 patients (29.4%) 4–5 points [23]. Concomitant therapies were antiviral drugs in 21 patients (61.8%), of which only 1 received remdesivir; hydroxychloroquine in 31 patients (91.2%); antimicrobials in 26 patients (76.5%); corticosteroids in 10 patients (29.4%). All patients received prophylactic doses of subcutaneous enoxaparin. Laboratory investigations showed reduced median lymphocyte count (0.78 × 109/l; IQR, 0.65–1.2) and elevated median levels of D-dimer (1031 ng/ml; IQR, 750–1478), serum ferritin (639 mg/l; IQR, 349–838), and CRP (73 mg/l; IQR, 40–116). Three patients (8.8%) had hemoglobin < 100 g/l, one patient had thrombocytopenia (88 × 109/l).

Clinical outcomes during treatment with ruxolitinib

To describe effects of treatment, we used the definition of clinical improvement as a decrease of ≥2 points in the ordinal scale, from first dose of ruxolitinib up to day 28. Individual patients’ changes in the ordinal scale, and distribution of patients in different categories by time intervals, are shown in Fig. 1. A total of 29 patients (85.3%) met criteria for clinical improvement; of the 5 patients who did not, 2 patients were category 4, 3 patients were category 5. Fourteen of the 16 patients (87.5%) who were receiving low-flow supplemental oxygen (category 4) showed clinical improvement; of the 2 who did not, 1 patient stopped ruxolitinib on day 7 because of no improvement and died on day 20 due to bacterial sepsis, 1 patient stopped ruxolitinib on day 18 because of ab ingestis pneumonia and was still hospitalized by day 28. Clinical improvement was observed in 14 of 17 patients (82.4%) receiving high-flow oxygen (category 5); of the 3 who did not, 1 patient stopped ruxolitinib on day 7 because of no improvement and died on day 12 due to cardiorespiratory failure; 2 patients stopped ruxolitinib on days 2 and 3 because they required intubation, and were still hospitalized by day 28.
Fig. 1

Changes in the category of the ordinal scale in individual patients, and in the full cohort of patients.

Each patient is represented as a colored line, where each color indicates the category of the ordinal scale to which the patient belongs, from baseline (day 0, day of first dose of ruxolitinib) to day 28. The vertical bars indicate the last day of treatment with full dose of Ruxolitinib. A solid diamond indicates that the patient died. Patients were monitored daily while hospitalized, and reached by telephone calls every 2–3 days after being discharged. The day of discharge is indicated by an open diamond (a). The cumulative distribution of patients in the individual categories of the ordinal scale, at weekly intervals, is shown in (b).

Changes in the category of the ordinal scale in individual patients, and in the full cohort of patients.

Each patient is represented as a colored line, where each color indicates the category of the ordinal scale to which the patient belongs, from baseline (day 0, day of first dose of ruxolitinib) to day 28. The vertical bars indicate the last day of treatment with full dose of Ruxolitinib. A solid diamond indicates that the patient died. Patients were monitored daily while hospitalized, and reached by telephone calls every 2–3 days after being discharged. The day of discharge is indicated by an open diamond (a). The cumulative distribution of patients in the individual categories of the ordinal scale, at weekly intervals, is shown in (b). The cumulative incidence of clinical improvement was 82.4% (95% CI, 71–93) (Fig. 2a). Clinical improvement was not affected by need of high-flow oxygen support (category 5) (hazard ratio for clinical improvement, as compared to category 3 + 4, was 0.74; 95% CI, 0.35–1.57) (Fig. 2b). Conversely, clinical improvement was less frequent among patients with more severe respiratory impairment: as compared to patients with P/F ≥ 300 mmHg, the hazard ratio was 0.31 (95% CI, 0.1–1.0) for patients with P/F ratio <300 ≥ 200, and 0.20 (95% CI, 0.06–0.67) for patients with P/F ratio < 200 (Fig. 2c). Sex, age, comorbidities, duration of symptoms, use of antiviral agents, and laboratory abnormalities were not associated with clinical improvement (Table S2).
Fig. 2

Cumulative incidence of clinical improvement from baseline to day 28.

The data are shown for the full cohort of patients (a), for patients in the full cohort stratified according to the ordinal scale category at baseline (b), and for patients in the full cohort stratified according to the arterial oxygen partial pressure (PaO2)/fraction of inspired oxygen (FiO2) (P/F ratio) at baseline (c).

Cumulative incidence of clinical improvement from baseline to day 28.

The data are shown for the full cohort of patients (a), for patients in the full cohort stratified according to the ordinal scale category at baseline (b), and for patients in the full cohort stratified according to the arterial oxygen partial pressure (PaO2)/fraction of inspired oxygen (FiO2) (P/F ratio) at baseline (c).

Safety

The median duration of exposure to ruxolitinib was 13 days (IQR, 7.3–16.8). The median dose intensity of ruxolitinib was 20 mg per day (IQR, 20–25); the maximum dose of ruxolitinib was 10 mg/day in 5 patients (14.7%), 15 mg/day in 2 patients (5.9%), 20 mg/day in 17 patients (50.0%), and 25 mg/day in 10 patients (29.4%). Discontinuation of treatment occurred in five patients (14.7%); reason was clinical deterioration requiring intubation (n = 2; 5.9%), ab ingestis pneumonia (n = 1; 2.9%), death (n = 2; 5.9%). Adverse events, or worsening of preexisting laboratory abnormality, developed in 28 patients (82.3%), including grade 3 in 13 patients (38.2%); in no case they led to drug discontinuation. The most common adverse events of any grade were anemia, urinary tract infection, increase of creatinine, thrombocytopenia, increase of aminotransferases. Anemia developed in 6 patients (17.6%; 1 grade 3) and worsened from baseline in 13 patients (38.2%; grade 3 in 10 patients, 29.4%) (Table 2); 8 patients (23.5%) required two red blood cell units. Thrombocytopenia developed in four patients, all grade 1; one patient (2.9%) had worsening of baseline thrombocytopenia to grade 3, but did not require platelet transfusion nor ruxolitinib dose reduction. Three thrombotic events were recorded: pulmonary embolism, brachial vein thrombosis following positioning of venous catheter, and peripheral arterial thrombosis.
Table 2

Summary of adverse events up to day 28.

Event or abnormalitiesNumber of patients (percent)
Present before initiation of treatmentDeveloped/worsened during treatment
Any gradeGrade 3
Any adverse event33 (97.1)28 (82.3)13 (38.2%)
Anemia25 (73.5)19 (55.9)10 (29.4)
Thrombocytopenia8 (2.3)5 (14.7)1 (2.9)
Neutropenia1 (2.9)2 (5.9)0
Aminotransferase increased10 (29.4)5 (14.7)0
Creatinine increased14 (41.2)8 (23.5)3 (8.8)
Bleeding1 (2.9)3 (8.8)1 (2.9)
Urinary tract infection2 (5.9)10 (29.4)0
Sepsis02 (8.8)1 (2.9%)
GI infection03 (8.8)0
Bacterial pneumonia02 (5.9)0
Arrhythmia3 (8.8)3 (8.8)0
Xanthelasma1 (2.9)1 (2.9)0
Stroke1 (2.9)1 (2.9)1 (2.9)
Acute pancreatitis01 (2.9)0
Thrombosis02 (5.9)1 (2.9)
Summary of adverse events up to day 28.

SARS-CoV-2 viral status

A total of 23 patients (67.6%) resulted PCR-negative on double check of upper respiratory tract swab at a median of 21 days (IQR, 17–26) after initiation of treatment with ruxolitinib. Exhibiting negative PCR assay was not affected by use of antivirals (HR, 0.58; CI, 0.1–3.6).

Exploratory measures

In patients receiving ruxolitinib, the absolute count of lymphocytes, monocytes, eosinophils, and myeloid and plasmacytoid dendritic cells, that were all significantly decreased at baseline [24], resulted largely restored by day 14, as it was the abnormally increased expression of markers of activation of neutrophils (CD66b) and monocytes (CD64, CD13, CD64) (Fig. 3a–c; Table S3). The frequency of innate (CD3−CD16+) NK cytotoxic cells expressing the cell-cycling marker Ki67, which rapidly expand in response to viral infection [20], also returned to normal levels by day 14, with similar trend for adaptive, cytotoxic CD3+CD8+ T cells (Fig. 3d). An improvement in the frequencies of IFN-γ producing T cells and TNF-α producing NK cells was documented (Fig. 3e, f) [13]. Serum levels of a panel of 27 cytokines and chemokines resulted markedly increased at baseline, compared to control subjects, with few exceptions (IL1Ra, IL-9, monocyte chemoattractant protein 1 (MCP1), PDGF, Rantes); among the most dysregulated, we noticed IL-6 (89.6-fold), interferon gamma-induced protein-10 (87.5-fold), and MCP1 (54.3-fold) (Table S4). All resulted markedly decreased toward normal levels by day 14 of treatment (Fig. 3g). Longitudinal analysis showed that CRP levels significantly decreased from a baseline median level of 72 mg/l (IQR, 39–111) to 26 mg/l (IQR, 5–76; p = 0.03) by day 7 and normalized by day 14 (12 mg/l, IQR, 6–21; p < 0.001); no significant change was observed for D-dimer and ferritin (Fig. 4).
Fig. 3

Changes in peripheral blood mononuclear cell subsets and serum cytokine levels at day 14 in COVID-19 patients compared to levels at baseline and normal subjects.

The absolute count of peripheral blood cell subsets, analyzed by flow cytometry, was measured at baseline (T0, black columns) and at day 14 (T14, dark gray columns) since initiation of ruxolitinib. Columns represent mean value (±SD) of neutrophils, lymphocytes, monocytes, basophils, eosinophils, plasmacytoid, and myeloid dendritic cells (DC). Data were obtained from 16 COVID-19 patients receiving ruxolitinib, and healthy donors (n = 8) (a, b). The activation markers CD64, CD13, and CD11b (on monocytes), and CD66b (on granulocytes), were analyzed by flow cytometry in the same set of samples; results are expressed as the mean value (±SD) of mean fluorescence intensity (MFI) (c). The frequency of Ki67-positive cells, expressed as the Mean (±SD), was obtained from analysis of isolated peripheral blood mononuclear cells of COVID-19 patients (n = 13), collected at T0 and T14, and healthy donors (n = 6) as control (d). The frequency of IFN-gamma of TNF-alpha positive cells, obtained from analysis of isolated peripheral blood mononuclear cells after in vitro polyclonal stimulation, is expressed as mean (+SD). Data refer to 14 COVID-19 patients, and 12 healthy donors, as control (e, f). g Heatmap of serum concentration (pg/ml) of the indicated cytokines and chemokines in healthy controls (n = 4) and COVID-19 patients (n = 16), who were evaluated at baseline (T0) and at day 14 (T14) since initiation of ruxolitinib. Only two patients, indicated by an asterisk, were receiving corticosteroids concurrently with ruxolitinib, in the first 7 days of treatment. The color scale ranges from blue (lower concentration) to red (higher concentration) for each analyte. *p < 0.05, **p < 0.001, ***p < 0.001, as indicated by the bars.

Fig. 4

Changes in C-reactive protein, D-dimer, and ferritin levels at days 7 and 14 in COVID-19 patients, compared to levels at baseline.

The plasma levels of C-reactive protein and D-dimer, and serum levels of ferritin, were measured at baseline and at days 7 and 14 since initiation of ruxolitinib. Individual values are presented as well as the mean value ± SD. Statistically significant differences are shown on top.

Changes in peripheral blood mononuclear cell subsets and serum cytokine levels at day 14 in COVID-19 patients compared to levels at baseline and normal subjects.

The absolute count of peripheral blood cell subsets, analyzed by flow cytometry, was measured at baseline (T0, black columns) and at day 14 (T14, dark gray columns) since initiation of ruxolitinib. Columns represent mean value (±SD) of neutrophils, lymphocytes, monocytes, basophils, eosinophils, plasmacytoid, and myeloid dendritic cells (DC). Data were obtained from 16 COVID-19 patients receiving ruxolitinib, and healthy donors (n = 8) (a, b). The activation markers CD64, CD13, and CD11b (on monocytes), and CD66b (on granulocytes), were analyzed by flow cytometry in the same set of samples; results are expressed as the mean value (±SD) of mean fluorescence intensity (MFI) (c). The frequency of Ki67-positive cells, expressed as the Mean (±SD), was obtained from analysis of isolated peripheral blood mononuclear cells of COVID-19 patients (n = 13), collected at T0 and T14, and healthy donors (n = 6) as control (d). The frequency of IFN-gamma of TNF-alpha positive cells, obtained from analysis of isolated peripheral blood mononuclear cells after in vitro polyclonal stimulation, is expressed as mean (+SD). Data refer to 14 COVID-19 patients, and 12 healthy donors, as control (e, f). g Heatmap of serum concentration (pg/ml) of the indicated cytokines and chemokines in healthy controls (n = 4) and COVID-19 patients (n = 16), who were evaluated at baseline (T0) and at day 14 (T14) since initiation of ruxolitinib. Only two patients, indicated by an asterisk, were receiving corticosteroids concurrently with ruxolitinib, in the first 7 days of treatment. The color scale ranges from blue (lower concentration) to red (higher concentration) for each analyte. *p < 0.05, **p < 0.001, ***p < 0.001, as indicated by the bars.

Changes in C-reactive protein, D-dimer, and ferritin levels at days 7 and 14 in COVID-19 patients, compared to levels at baseline.

The plasma levels of C-reactive protein and D-dimer, and serum levels of ferritin, were measured at baseline and at days 7 and 14 since initiation of ruxolitinib. Individual values are presented as well as the mean value ± SD. Statistically significant differences are shown on top.

Discussion

There is evidence that the pneumonia caused by SARS-CoV-2, representing the leading cause of death in patients with COVID-19, involves a systemic hyperinflammatory reaction [25, 26]. The latter contributes potently to the lung damage caused by the entry of the virus in respiratory epithelium, mediated by the receptor angiotensin converting enzyme-2 (ACE2) [27], and eventually results in acute, potentially fatal, respiratory distress syndrome (ARDS). Similarities between this localized, overwhelming inflammatory reaction, and diseases associated with a systemic cytokine release storm, such as the secondary haemophagocytic lymphohistiocytosis [28], have been highlighted [29]. Notably, children with history of SARS-CoV-2 infection may develop Kawasaki-like syndrome, a rare, largely cytokine-mediated, disease [30]. Hyperinflammation may also affect the vascular system, contributing to thrombotic events in pulmonary vessels and systemic circulation, that was reported at unusual rate [31-34]. Plasma levels of a vast array of inflammatory cytokines, some of which were associated with severity of clinical manifestations and more advanced disease requiring intensive care, are markedly elevated in patients with COVID-19 [35]; a condition of IL-6-dependent, impaired, immune cell cytotoxicity may contribute to abnormal immunoregulation caused by SARS-CoV-2 infection [24]. Therefore, targeting the host inflammatory response might play an important role in dampening hyperinflammation and reducing lung damage in patients with COVID-19, especially when the ARDS has not yet progressed to terminal stages of pulmonary failure requiring mechanical ventilation [26]. No specific therapy for COVID-19 still exists, management largely consisting of supportive care, and most patients received off-label or compassionate-use therapies including antiretrovirals, antiparasitic agents, anti-inflammatory compounds, and convalescent plasma. Among antivirals, the most widely used are remdesivir and lopinavir/ritonavir. Recent controlled data indicated improved outcome with remdesivir [5–7, 36], and a preliminary report from the ACCT-1 trial suggested that remdesivir was superior to placebo in shortening time to recovery [5]. Conversely, a randomized trial on 199 patients with severe disease who were treated with lopinavir/ritonavir failed to demonstrate any benefit in comparison to standard of care, and the NIH recommended against its use due to unfavorable pharmacodynamics and lack of proven clinical efficacy [37]. Hydroxychloroquine was largely used in the early period of COVID-19 pandemic owing to its in vitro activity against the virus and relatively safe profile. However, an observational study of 811 patients treated with hydroxychloroquine failed to show any clinical benefit compared with standard of care [38], and a systematic review raised concerns about the quality of published studies [39]. Interim results of the Solidarity Trial showed no significant reduction in mortality of hospitalized COVID-19 patients treated with either hydroxychloroquine or lopinavir/ritonavir compared to standard of care, and these arms of the study were discontinued. Preliminary evidences also support potential efficacy of dugs with anti-inflammatory properties, some of which are currently in clinical trials, including tocilizumab (a monoclonal antibody blocking the anti-IL-6 receptor; e.g., NCT04346355) and anakinra (a recombinant IL-1 receptor antagonist; e.g., NCT04364009), or are potential candidates, such as baricitinib (a JAK1 and JAK2 inhibitor) [29]. In addition to suppressing cytokine signaling and preventing the emergence of cytokine storm, baricitinib may interrupt the passage and intracellular assembly of SARS-CoV-2, according to recent data [40]. An open-label trial reported encouraging results of baricitinib in terms of safety, improvement of clinical conditions and reduction of progression to more severe forms [41]. However, baricitinib should be used with caution in patients with thrombotic risk factors because of the increased risk of deep venous thrombosis and pulmonary embolism, and clinical experience in patients ≥ 75 years is very limited. As regards the use of corticosteroids in COVID-19, there are conflicting findings and recommendations. The main issues against the use of steroids are the risk of prolonged viral shedding [42] and secondary bacterial infections [43]. Conversely, in other studies no impact of corticosteroid therapy on viral RNA shedding was found, and low-dose corticosteroid did not affect viral RNA clearance [44]. Available clinical evidence did not support a benefit of corticosteroids in the treatment of respiratory infection due to RSV, influenza, SARS-CoV, or MERS-CoV [45]. On the other hand, preliminary results from the RECOVERY trial showed that dexamethasone reduced deaths in patients receiving either invasive [RR, 0.65; 95% CI, 0.51–0.82] and noninvasive [RR, 0.80; 95% CI, 0.70–0.92] mechanical ventilation [46]; furthermore, corticosteroid treatment was associated with a reduced risk of death in patients who developed ARDS [47, 48]. Corticosteroid treatment is “a double edged sword” in COVID-19 [49], and randomized, controlled trials are definitely needed. Ruxolitinib is a JAK1 and JAK2 inhibitor with potent anti-inflammatory properties and excellent safety profile, that is approved for the treatment of myelofibrosis [12, 13] and polycythemia vera [14, 50, 51]; remarkably, ruxolitinib proved to be efficacious in conditions characterized by exaggerated release of inflammatory cytokines and activation of immunocompetent cells, such as the hemophagocytic lymphohistiocytosis [15] and the graft-versus-host disease in recipients of allogeneic hematopoietic stem cell transplantation [16]. We describe here results of a prospective, observational study in 34 patients with severe pulmonary manifestations of COVID-19, not requiring mechanical ventilation, who received compassionate-use ruxolitinib within a treatment protocol approved by Italian Agency for Drugs. The study population was uniquely represented by old (median age, 80.5 years), high-risk comorbid, subjects, mirroring the epidemiology of late hospitalization for SARS-CoV-2-infected patients coming from Italian Extended Care Units. We observed clinical improvement, as defined based on ordinal scale, in 85.3% of patients after a median of 13 days, with mortality rate of 5.9% by 28 days. This short-term treatment with ruxolitinib (median treatment duration was 13 days) resulted well tolerated, with few grade 3 events, and no new safety signals were detected. Of note, 67.6% of the patients exhibited confirmed, negative PCR swab assays at the end of study period, irrespective of having received antiviral agents, suggesting that ruxolitinib does not prevent viral clearance. Anti-inflammatory and immunomodulatory activities of ruxolitinib were documented by normalization of blood cell subsets, dampening of inflammatory cell activation, and decrease of inflammatory cytokines and CRP levels, providing clues to the immunoregulatory effects of ruxolitinib in COVID-19 patients. Dampening of inflammation induced by ruxolitinib treatment may favorably impact also on the increased rate of thrombosis associated with COVID-19. The coagulopathy associated with COVID-19 partially overlaps with other coagulopathies, such as sepsis-induced coagulopathy or disseminated intravascular coagulation, although it does not perfectly match any of them [34]. It remains to be determined if such hypercoagulability condition is caused by activation of innate immune response with complement-mediated microthrombotic manifestations [34] and/or by an endotheliopathy, possibly mediated by interaction of SARS-Cov-2 with ACE2 receptors on endothelial cells [52], eventually exacerbated by the elevated levels of inflammatory cytokines and chemokines. This study has intrinsic limitations that preclude full interpretation of results, including the small size of the cohort, the heterogeneity of concomitant medications, the inability to perform multivariable analysis, and the lack of a randomized control group, that was not feasible owing to the availability of ruxolitinib on a compassionate-use protocol. Furthermore, the study was prematurely interrupted due to the decline of COVID-19 hospitalization that occurred in the most recent weeks after the lock-down period in Italy. However, the extent of favorable outcomes observed herein is noteworthy, especially considering the advanced age (median, 80.5 years) and the characteristics of this highly comorbid population. Age, and associated comorbidity, emerged as one major risk factor for severe complications and deaths in individuals with COVID-19 [53]. In an Italian study, 42.2% of those who died were older than 80 years, as compared to 32.4% if aged 70–79, and 11.2% if aged 60 years and less [54]. By way of comparison, in a randomized trial of lopinavir-ritonavir in younger patients (median age, 58 years) the 28-day mortality was 22% [55], while in two recent randomized trials using remdesivir in patients with median age of 59 and 62, respectively, the day 14 mortality was 7.1% [5] and 8–11% [6]. Results from two other clinical studies with ruxolitinib were reported recently, plus a few single cases [56, 57]. In the study of La Rosée et al. [58], 14 COVID-19 patients with evidence of severe hyperinflammation, based on a newly developed COVID-19 Inflammation Score, received ruxolitinib over a median of 9 days and a median cumulative dose of 135 mg (approximately, 15 mg day). Evidence of reduced hyperinflammatory status was obtained in 12 patients, and sustained clinical improvement was reported in 11 patients, without any notable toxicity. In the study by Cao et al. [59], a faster clinical improvement was observed in 20 patients receiving ruxolitinib, compared to control group, although the rate of overall clinical improvement was similar. Treatment was well tolerated. Taking into an account the role of hyperinflammation in the pathogenesis of COVID-19 pneumonia and these preliminary clinical reports [56-59], current findings support the development of controlled trials of ruxolitinib in patients with severe pulmonary manifestations of COVID-19, with the aim to control hyperinflammation and mitigate the progression of the disease. A phase 3, multicenter, double-blind, placebo-controlled study, randomizing patients with COVID-19, who are not in need of mechanical ventilation, to ruxolitinib (5 mg twice daily) or placebo, in addition to standard of care, is ongoing (NCT04362137); the primary endpoint will be comparison of efficacy, including death, progression of respiratory failure and need of intensive care, between the two arms by day 29. It should also be noted that patients requiring mechanical ventilation ab initio were excluded from our study, and efficacy in that setting cannot be borrowed. Indeed, the fact that a P/F ratio < 200 mmHg was negatively associated with clinical improvement in our patients suggests incremental benefits of early treatment. In addition, a separate phase 3, randomized, double-blind, placebo-controlled study will assess the efficacy and safety of ruxolitinib at two different dosages (5 and 15 mg twice daily) in patients with COVID-19-associated ARDS who require mechanical ventilation (NCT04377620). Although our study did not compare different doses of ruxolitinib, due to the adapted incremental dose adjustment, current data support the safety and efficacy of a dose similar to that used in a phase 3 study in glucocorticoid-refractory, acute graft-versus-host disease (the median dose intensity in our study was 20 mg daily) [16]. It is hoped that those controlled trials will contribute to definitely establish whether, and to what extent, the anti-inflammatory activity of ruxolitinib may contribute to reduce mortality from COVID-19, helping “the dust to settle” [60]. Supplementary appendix
  42 in total

1.  New Statin Use and Mortality in Older Veterans.

Authors:  Ali Ahmed; Wen-Chih Wu; Charles Faselis
Journal:  JAMA       Date:  2020-11-10       Impact factor: 56.272

2.  A double-blind, placebo-controlled trial of ruxolitinib for myelofibrosis.

Authors:  Srdan Verstovsek; Ruben A Mesa; Jason Gotlib; Richard S Levy; Vikas Gupta; John F DiPersio; John V Catalano; Michael Deininger; Carole Miller; Richard T Silver; Moshe Talpaz; Elliott F Winton; Jimmie H Harvey; Murat O Arcasoy; Elizabeth Hexner; Roger M Lyons; Ronald Paquette; Azra Raza; Kris Vaddi; Susan Erickson-Viitanen; Iphigenia L Koumenis; William Sun; Victor Sandor; Hagop M Kantarjian
Journal:  N Engl J Med       Date:  2012-03-01       Impact factor: 91.245

3.  JAK inhibition with ruxolitinib versus best available therapy for myelofibrosis.

Authors:  Claire Harrison; Jean-Jacques Kiladjian; Haifa Kathrin Al-Ali; Heinz Gisslinger; Roger Waltzman; Viktoriya Stalbovskaya; Mari McQuitty; Deborah S Hunter; Richard Levy; Laurent Knoops; Francisco Cervantes; Alessandro M Vannucchi; Tiziano Barbui; Giovanni Barosi
Journal:  N Engl J Med       Date:  2012-03-01       Impact factor: 91.245

4.  Ruxolitinib in adult patients with secondary haemophagocytic lymphohistiocytosis: an open-label, single-centre, pilot trial.

Authors:  Asra Ahmed; Samuel A Merrill; Fares Alsawah; Paula Bockenstedt; Erica Campagnaro; Sumana Devata; Scott D Gitlin; Mark Kaminski; Alice Cusick; Tycel Phillips; Suman Sood; Moshe Talpaz; Albert Quiery; Philip S Boonstra; Ryan A Wilcox
Journal:  Lancet Haematol       Date:  2019-09-16       Impact factor: 18.959

5.  Ruxolitinib versus standard therapy for the treatment of polycythemia vera.

Authors:  Alessandro M Vannucchi; Jean Jacques Kiladjian; Martin Griesshammer; Tamas Masszi; Simon Durrant; Francesco Passamonti; Claire N Harrison; Fabrizio Pane; Pierre Zachee; Ruben Mesa; Shui He; Mark M Jones; William Garrett; Jingjin Li; Ulrich Pirron; Dany Habr; Srdan Verstovsek
Journal:  N Engl J Med       Date:  2015-01-29       Impact factor: 91.245

6.  Interleukin-1 blockade with high-dose anakinra in patients with COVID-19, acute respiratory distress syndrome, and hyperinflammation: a retrospective cohort study.

Authors:  Giulio Cavalli; Giacomo De Luca; Corrado Campochiaro; Emanuel Della-Torre; Marco Ripa; Diana Canetti; Chiara Oltolini; Barbara Castiglioni; Chiara Tassan Din; Nicola Boffini; Alessandro Tomelleri; Nicola Farina; Annalisa Ruggeri; Patrizia Rovere-Querini; Giuseppe Di Lucca; Sabina Martinenghi; Raffaella Scotti; Moreno Tresoldi; Fabio Ciceri; Giovanni Landoni; Alberto Zangrillo; Paolo Scarpellini; Lorenzo Dagna
Journal:  Lancet Rheumatol       Date:  2020-05-07

7.  Off-label use of tocilizumab for the treatment of SARS-CoV-2 pneumonia in Milan, Italy.

Authors:  Valentina Morena; Laura Milazzo; Letizia Oreni; Giovanna Bestetti; Tommaso Fossali; Cinzia Bassoli; Alessandro Torre; Maria Vittoria Cossu; Caterina Minari; Elisabetta Ballone; Andrea Perotti; Davide Mileto; Fosca Niero; Stefania Merli; Antonella Foschi; Stefania Vimercati; Giuliano Rizzardini; Salvatore Sollima; Lucia Bradanini; Laura Galimberti; Riccardo Colombo; Valeria Micheli; Cristina Negri; Anna Lisa Ridolfo; Luca Meroni; Massimo Galli; Spinello Antinori; Mario Corbellino
Journal:  Eur J Intern Med       Date:  2020-05-21       Impact factor: 4.487

8.  Trials of anti-tumour necrosis factor therapy for COVID-19 are urgently needed.

Authors:  Marc Feldmann; Ravinder N Maini; James N Woody; Stephen T Holgate; Gregory Winter; Matthew Rowland; Duncan Richards; Tracy Hussell
Journal:  Lancet       Date:  2020-04-09       Impact factor: 79.321

Review 9.  Tocilizumab for the treatment of severe COVID-19 pneumonia with hyperinflammatory syndrome and acute respiratory failure: A single center study of 100 patients in Brescia, Italy.

Authors:  Paola Toniati; Simone Piva; Marco Cattalini; Emirena Garrafa; Francesca Regola; Francesco Castelli; Franco Franceschini; Paolo Airò; Chiara Bazzani; Eva-Andrea Beindorf; Marialma Berlendis; Michela Bezzi; Nicola Bossini; Maurizio Castellano; Sergio Cattaneo; Ilaria Cavazzana; Giovanni-Battista Contessi; Massimo Crippa; Andrea Delbarba; Elena De Peri; Angela Faletti; Matteo Filippini; Matteo Filippini; Micol Frassi; Mario Gaggiotti; Roberto Gorla; Michael Lanspa; Silvia Lorenzotti; Rosa Marino; Roberto Maroldi; Marco Metra; Alberto Matteelli; Denise Modina; Giovanni Moioli; Giovanni Montani; Maria-Lorenza Muiesan; Silvia Odolini; Elena Peli; Silvia Pesenti; Maria-Chiara Pezzoli; Ilenia Pirola; Alessandro Pozzi; Alessandro Proto; Francesco-Antonio Rasulo; Giulia Renisi; Chiara Ricci; Damiano Rizzoni; Giuseppe Romanelli; Mara Rossi; Massimo Salvetti; Francesco Scolari; Liana Signorini; Marco Taglietti; Gabriele Tomasoni; Lina-Rachele Tomasoni; Fabio Turla; Alberto Valsecchi; Davide Zani; Francesco Zuccalà; Fiammetta Zunica; Emanuele Focà; Laura Andreoli; Nicola Latronico
Journal:  Autoimmun Rev       Date:  2020-05-03       Impact factor: 9.754

10.  WHO Declares COVID-19 a Pandemic.

Authors:  Domenico Cucinotta; Maurizio Vanelli
Journal:  Acta Biomed       Date:  2020-03-19
View more
  19 in total

Review 1.  Janus kinase inhibitors for the treatment of COVID-19.

Authors:  Andre Kramer; Carolin Prinz; Falk Fichtner; Anna-Lena Fischer; Volker Thieme; Felicitas Grundeis; Manuel Spagl; Christian Seeber; Vanessa Piechotta; Maria-Inti Metzendorf; Martin Golinski; Onnen Moerer; Caspar Stephani; Agata Mikolajewska; Stefan Kluge; Miriam Stegemann; Sven Laudi; Nicole Skoetz
Journal:  Cochrane Database Syst Rev       Date:  2022-06-13

Review 2.  JAK inhibition as a new treatment strategy for patients with COVID-19.

Authors:  Jin Huang; Chi Zhou; Jinniu Deng; Jianfeng Zhou
Journal:  Biochem Pharmacol       Date:  2022-07-03       Impact factor: 6.100

Review 3.  COVID-19-associated opportunistic infections: a snapshot on the current reports.

Authors:  Amir Abdoli; Shahab Falahi; Azra Kenarkoohi
Journal:  Clin Exp Med       Date:  2021-08-23       Impact factor: 5.057

Review 4.  Interleukin-6, CXCL10 and Infiltrating Macrophages in COVID-19-Related Cytokine Storm: Not One for All But All for One!

Authors:  Francesca Coperchini; Luca Chiovato; Mario Rotondi
Journal:  Front Immunol       Date:  2021-04-26       Impact factor: 7.561

Review 5.  Pharmaco-immunomodulatory interventions for averting cytokine storm-linked disease severity in SARS-CoV-2 infection.

Authors:  Arbind Kumar; Aashish Sharma; Narendra Vijay Tirpude; Suresh Sharma; Yogendra S Padwad; Sanjay Kumar
Journal:  Inflammopharmacology       Date:  2022-01-20       Impact factor: 5.093

6.  COVID-19: High-JAKing of the Inflammatory "Flight" by Ruxolitinib to Avoid the Cytokine Storm.

Authors:  Cirino Botta; Alessia Indrieri; Eugenio Garofalo; Flavia Biamonte; Andrea Bruni; Pino Pasqua; Francesco Cesario; Francesco Saverio Costanzo; Federico Longhini; Francesco Mendicino
Journal:  Front Oncol       Date:  2021-01-08       Impact factor: 6.244

Review 7.  COVID-19 as a mediator of interferon deficiency and hyperinflammation: Rationale for the use of JAK1/2 inhibitors in combination with interferon.

Authors:  H C Hasselbalch; V Skov; L Kjær; C Ellervik; A Poulsen; T D Poulsen; C H Nielsen
Journal:  Cytokine Growth Factor Rev       Date:  2021-04-14       Impact factor: 7.638

8.  Janus kinase inhibitors and major COVID-19 outcomes: time to forget the two faces of Janus! A meta-analysis of randomized controlled trials.

Authors:  Dimitrios Patoulias; Michael Doumas; Christodoulos Papadopoulos; Asterios Karagiannis
Journal:  Clin Rheumatol       Date:  2021-08-24       Impact factor: 2.980

9.  Liver injury in COVID-19 and IL-6 trans-signaling-induced endotheliopathy.

Authors:  Matthew J McConnell; Nao Kawaguchi; Reiichiro Kondo; Aurelio Sonzogni; Lisa Licini; Clarissa Valle; Pietro A Bonaffini; Sandro Sironi; Maria Grazia Alessio; Giulia Previtali; Michela Seghezzi; Xuchen Zhang; Alfred I Lee; Alexander B Pine; Hyung J Chun; Xinbo Zhang; Carlos Fernandez-Hernando; Hua Qing; Andrew Wang; Christina Price; Zhaoli Sun; Teruo Utsumi; John Hwa; Mario Strazzabosco; Yasuko Iwakiri
Journal:  J Hepatol       Date:  2021-05-13       Impact factor: 25.083

10.  Clinical efficacy and safety of Janus kinase inhibitors for COVID-19: A systematic review and meta-analysis of randomized controlled trials.

Authors:  Ching-Yi Chen; Wang-Chun Chen; Chi-Kuei Hsu; Chien-Ming Chao; Chih-Cheng Lai
Journal:  Int Immunopharmacol       Date:  2021-07-31       Impact factor: 4.932

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.