Soluble IL-2R Levels at Baseline Predict the Development of Severe Respiratory Failure and Mortality in COVID-19 Patients.

Risk stratification of coronavirus disease-19 (COVID-19) patients by simple markers is critical to guide treatment. We studied the predictive value of soluble interleukin-2 receptor (sIL-2R) for the early identification of patients at risk of developing severe clinical outcomes. sIL-2R levels were measured in 197 patients (60.9% males; median age 61 years; moderate disease, n = 65; severe, n = 132, intubated and/or died, n = 42). All patients received combined immunotherapies (anakinra ± corticosteroids ± intravenous immunoglobulin ± tocilizumab) according to our local treatment algorithm. The endpoint was the composite event of intubation due to severe respiratory failure (SRF) or mortality. Median (interquartile range) sIL-2R levels were significantly higher in patients with severe disease, compared with those with moderate disease (6 (6.2) vs. 5.2 (3.4) ng/mL, p = 0.017). sIL-2R was the strongest laboratory predictive factor for intubation/death (hazard ratio 1.749, 95%CI 1.041-2.939, p = 0.035) after adjustment for other known risk factors. Youden's index revealed optimal sIL-2R cut-off for predicting intubation/death at 9 ng/mL (sensitivity: 67%; specificity: 86%; positive and negative predictive value: 57% and 91%, respectively). Delta sIL-2R between the day of event or discharge minus admission date was higher in patients that intubated/died than in those who did not experience an event (2.91 (10.42) vs. 0.44 (2.88) ng/mL; p = 0.08)). sIL-2R on admission and its dynamic changes during follow-up may reflect disease severity and predict the development of SRF and mortality.

Lessons from pathophysiology: Use of individualized combination treatments with immune interventional agents to tackle severe respiratory failure in patients with COVID-19.

Aims Infection by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) may lead to the development of severe respiratory failure. In hospitalized-patients, prompt interruption of the virus-driven inflammatory process by using combination treatments seems theoretically of outmost importance. Our aim was to investigate the hypothesis of multifaceted management of these patients. Methods A treatment algorithm based on ferritin was applied in 311 patients (67.2% males; median age 63-years; moderate disease, n=101; severe, n=210). Patients with ferritin <500ng/ml received anakinra 2-4mg/kg/day ± corticosteroids (Arm A, n=142) while those with ≥500ng/ml received anakinra 5-8mg/kg/day with corticosteroids and γ-globulins (Arm B, n=169). In case of no improvement a single dose of tocilizumab (8mg/kg; maximum 800mg) was administered with the potential of additional second and/or third pulses. Treatment endpoints were the rate of the development of respiratory failure necessitating intubation and the SARS-CoV-2-related mortality. The proposed algorithm was also validated in matched hospitalized-patients treated with standard-of-care during the same period. Results In overall, intubation and mortality rates were 5.8% and 5.1% (0% in moderate; 8.6% and 7.6% in severe). Low baseline pO2/FiO2 and older age were independent risk factors. Comparators had significantly higher intubation (HR=7.4; 95%CI: 4.1-13.4; p<0.001) and death rates (HR=4.5, 95%CI: 2.1-9.4, p<0.001). Significant adverse events were rare, including severe secondary infections in only 7/311 (2.3%). Conclusions Early administration of personalized combinations of immunomodulatory agents may be life-saving in hospitalized-patients with COVID-19. An immediate intervention (the sooner the better) could be helpful to avoid development of full-blown acute respiratory distress syndrome and improve survival.