Efficacy of early anti-inflammatory treatment with high doses of intravenous anakinra with or without glucocorticoids in patients with severe COVID-19 pneumonia.

BACKGROUND: IL-1 plays a pivotal role in the inflammatory response during cytokine storm syndromes. OBJECTIVE: Our aim was to analyze the efficacy and safety of early anti-inflammatory treatment (AIT) with intravenous anakinra with or without glucocorticoids in coronavirus disease 2019 (COVID-19) pneumonia. METHODS: We performed a retrospective single-center cohort study of patients admitted for COVID-19 pneumonia from February 26 to April 29, 2020, to assess the efficacy of early AIT with intravenous anakinra (100 mg every 8 hours for 3 days, with tapering) alone or in combination with a glucocorticoid (intravenous methylprednisolone, 1-2 mg/kg daily, with tapering). The standard of care (SOC) treatment was hydroxychloroquine and/or azithromycin with or without antivirals and anticoagulants. Late rescue AIT with anakinra or tocilizumab was also evaluated. Treatment effect on overall survival was assessed by a propensity score-adjusted Cox model. RESULTS: A total of 128 patients were analyzed; 63 patients received early AIT (30 received anakinra alone and 33 received anakinra plus a glucocorticoid) at admission, and 65 patients did not receive early AIT and were used as controls; of the latter 65 patients, 44 received the SOC treatment alone and 21 received the SOC treatment plus late rescue AIT. After adjustment for all the unbalanced baseline covariates, early AIT reduced the hazard of mortality by 74% (adjusted hazard ratio [HR] = 0.26; P < .001). The effect was similar in patients receiving anakinra alone (adjusted HR = 0.28; P = .04) and anakinra plus a glucocorticoid (adjusted HR = 0.33; P = .07). Late rescue treatment did not show a significant advantage over SOC treatment alone (adjusted HR = 0.82; P = .70). CONCLUSIONS: This study suggests, on a larger series of patients with COVID-19 pneumonia, the potential efficacy and safety of the early use of high doses of intravenous anakinra with or without glucocorticoids.

Evaluation of novel coronavirus disease (COVID-19) using quantitative lung CT and clinical data: prediction of short-term outcome.

BACKGROUND: Computed tomography (CT) enables quantification of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, helping in outcome prediction. METHODS: From 1 to 22 March 2020, patients with pneumonia symptoms, positive lung CT scan, and confirmed SARS-CoV-2 on reverse transcription-polymerase chain reaction (RT-PCR) were consecutively enrolled. Clinical data was collected. Outcome was defined as favourable or adverse (i.e., need for mechanical ventilation or death) and registered over a period of 10 days following CT. Volume of disease (VoD) on CT was calculated semi-automatically. Multiple linear regression was used to predict VoD by clinical/laboratory data. To predict outcome, important features were selected using a priori analysis and subsequently used to train 4 different models. RESULTS: A total of 106 consecutive patients were enrolled (median age 63.5 years, range 26-95 years; 41/106 women, 38.7%). Median duration of symptoms and C-reactive protein (CRP) was 5 days (range 1-30) and 4.94 mg/L (range 0.1-28.3), respectively. Median VoD was 249.5 cm3 (range 9.9-1505) and was predicted by lymphocyte percentage (p = 0.008) and CRP (p < 0.001). Important variables for outcome prediction included CRP (area under the curve [AUC] 0.77), VoD (AUC 0.75), age (AUC 0.72), lymphocyte percentage (AUC 0.70), coronary calcification (AUC 0.68), and presence of comorbidities (AUC 0.66). Support vector machine had the best performance in outcome prediction, yielding an AUC of 0.92. CONCLUSIONS: Measuring the VoD using a simple CT post-processing tool estimates SARS-CoV-2 burden. CT and clinical data together enable accurate prediction of short-term clinical outcome.