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Background Host inflammation contributes to determine whether SARS-CoV-2 infection causes mild or life-threatening disease. Tools are needed for early risk assessment. Methods We studied in 111 COVID-19 patients prospectively followed at a single reference Hospital fifty-three potential biomarkers including alarmins, cytokines, adipocytokines and growth factors, humoral innate immune and neuroendocrine molecules and regulators of iron metabolism. Biomarkers at hospital admission together with age, degree of hypoxia, neutrophil to lymphocyte ratio (NLR), lactate dehydrogenase (LDH), C-reactive protein (CRP) and creatinine were analysed within a data-driven approach to classify patients with respect to survival and ICU outcomes. Classification and regression tree (CART) models were used to identify prognostic biomarkers. Results Among the fifty-three potential biomarkers, the classification tree analysis selected CXCL10 at hospital admission, in combination with NLR and time from onset, as the best predictor of ICU transfer (AUC [95% CI] = 0.8374 [0.6233–0.8435]), while it was selected alone to predict death (AUC [95% CI] = 0.7334 [0.7547–0.9201]). CXCL10 concentration abated in COVID-19 survivors after healing and discharge from the hospital. Conclusions CXCL10 results from a data-driven analysis, that accounts for presence of confounding factors, as the most robust predictive biomarker of patient outcome in COVID-19. Graphic abstract

Background Platelet activation and thrombotic events characterizes COVID‐19. Objectives To characterize platelet activation and determine if SARS‐CoV‐2 induces platelet activation. Patients/Methods We investigated platelet activation in 119 COVID‐19 patients at admission in a university hospital in Milan, Italy, between March 18 and May 5, 2020. Sixty‐nine subjects (36 healthy donors, 26 patients with coronary artery disease, coronary artery disease, and seven patients with sepsis) served as controls. Results COVID‐19 patients had activated platelets, as assessed by the expression and distribution of HMGB1 and von Willebrand factor, and by the accumulation of platelet‐derived (plt) extracellular vesicles (EVs) and HMGB1+ plt‐EVs in the plasma. P‐selectin upregulation was not detectable on the platelet surface in a fraction of patients (55%) and the concentration of soluble P‐selectin in the plasma was conversely increased. The plasma concentration of HMGB1+ plt‐EVs of patients at hospital admission remained in a multivariate analysis an independent predictor of the clinical outcome, as assessed using a 6‐point ordinal scale (from 1 = discharged to 6 = death). Platelets interacting in vitro with SARS‐CoV‐2 underwent activation, which was replicated using SARS‐CoV‐2 pseudo‐viral particles and purified recombinant SARS‐CoV‐2 spike protein S1 subunits. Human platelets express CD147, a putative coreceptor for SARS‐CoV‐2, and Spike‐dependent platelet activation, aggregation and granule release, release of soluble P‐selectin and HMGB1+ plt‐EVs abated in the presence of anti‐CD147 antibodies. Conclusions Hence, an early and intense platelet activation, which is reproduced by stimulating platelets in vitro with SARS‐CoV‐2, characterizes COVID‐19 and could contribute to the inflammatory and hemostatic manifestations of the disease.

The aim of this study was to evaluate the impact of early treatment with corticosteroids on SARS-CoV-2 clearance in hospitalized COVID-19 patients. Retrospective analysis on patients admitted to the San Raffaele Hospital (Milan, Italy) with moderate/severe COVID-19 and availability of at least two nasopharyngeal swabs. The primary outcome was the time to nasopharyngeal swab negativization. A multivariable Cox model was fitted to determine factors associated with nasopharyngeal swab negativization. Of 280 patients included, 59 (21.1%) patients were treated with steroids. Differences observed between steroid users and non-users included the proportion of patients with a baseline PaO2/FiO2 ≤ 200 mmHg (45.8% vs 34.4% in steroids and non-steroids users, respectively; p = 0.023) or ≤ 100 mmHg (16.9% vs 12.7%; p = 0.027), and length of hospitalization (20 vs 14 days; p 2/FiO2 > 200 mmHg, and a lymphocyte count at admission > 1.0 × 109/L. SARS-CoV-2 clearance was not associated with corticosteroid use. Our study shows that delayed SARS-CoV-2 clearance in moderate/severe COVID-19 is associated with older age and a more severe disease, but not with an early use of corticosteroids.