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Background: Pneumonia with respiratory failure represents the main cause of death in COVID-19, where hyper inflammation plays an important role in lung damage. This study aims to evaluate if tocilizumab, an anti-soluble IL-6 receptor monoclonal antibody, reduces patients' mortality. Methods: 85 consecutive patients admitted to the Montichiari Hospital (Italy) with COVID-19 related pneumonia and respiratory failure, not needing mechanical ventilation, were included if satisfying at least one among: respiratory rate ≥ 30 breaths/min, peripheral capillary oxygen saturation ≤ 93% or PaO2/FiO2<=300 mmHg. Patients admitted before March 13th (n=23) were prescribed the standard therapy (hydroxychloroquine, lopinavir and ritonavir) and were considered controls. On March 13th tocilizumab was available and patients admitted thereafter (n=62) received tocilizumab once within 4 days from admission, plus the standard care. Results: Patients receiving tocilizumab showed significantly greater survival rate as compared to control patients (hazard ratio for death, 0.035; 95% confidence interval [CI], 0.004 to 0.347; p = 0.004), adjusting for baseline clinical characteristics. Two out of 62 patients of the tocilizumab group and 11 out of 23 in the control group died. 92% and 42.1% of the discharged patients in the tocilizumab and control group respectively, recovered. The respiratory function resulted improved in 64.8% of the observations in tocilizumab patients who were still hospitalized, whereas 100% of controls worsened and needed mechanical ventilation. No infections were reported. Conclusions: Tocilizumab results to have a positive impact if used early during Covid-19 pneumonia with severe respiratory syndrome in terms of increased survival and favorable clinical course.

and *4501, but not other alleles. Based on these findings, we developed an algorithm for prediction of nonpermissive HLA-DPB1 mismatches. Retrospective evaluation of 118 transplantations showed that the presence of nonpermissive HLA-DPB1 mismatches was correlated with significantly increased hazards of acute grade II to IV graftversus-host disease (HR ‫؍‬ 1.87, P ‫؍‬ .046) and transplantation-related mortality (HR ‫؍‬ 2.69, P ‫؍‬ .027) but not relapse (HR ‫؍‬ 0.98, P ‫؍‬ .939), as compared with the permissive group. There was also a marked but statistically not significant increase in the hazards of overall mortality (HR ‫؍‬ 1.64, P ‫؍‬ .1). These data suggest that biologic characterization of in vivo alloreactivity can be a tool for definition of clinically relevant nonpermissive HLA mismatches for unrelated HSC transplantation.

A new semi-automatic method for segmenting the spinal cord from MR images is presented. The method is based on an active surface (AS) model of the cord surface, with intrinsic smoothness constraints. The model is initialized by the user marking the approximate cord center-line on a few representative slices, and the compact surface parametrization results in a rapid segmentation, taking on the order of one minute. Using 3-D acquired T 1 -weighted images of the cervical spine from human controls and patients with multiple sclerosis, the intra-and inter-observer reproducibilities were evaluated, and compared favorably with an existing cord segmentation method. While the AS method overestimated the cord area by approximately 14% compared to manual outlining, correlations between cord cross-sectional area and clinical disability scores confirmed the relevance of the new method in measuring cord atrophy in multiple sclerosis. Segmentation of the cord from 2-D multislice T 2 -weighted images is also demonstrated over the cervical and thoracic region. Since the cord center-line is an intrinsic parameter extracted as part of the segmentation process, the image can be resampled such that the center-line forms one coordinate axis of a new image, allowing simple visualization of the cord structure and pathology; this could find wider application in standard radiological practice.

15,16 and the Musc-19 Study GroupObjective: This study was undertaken to assess the impact of immunosuppressive and immunomodulatory therapies on the severity of coronavirus disease 2019 (COVID-19) in people with multiple sclerosis (PwMS). Methods: We retrospectively collected data of PwMS with suspected or confirmed COVID-19. All the patients had complete follow-up to death or recovery. Severe COVID-19 was defined by a 3-level variable: mild disease not requiring hospitalization versus pneumonia or hospitalization versus intensive care unit (ICU) admission or death. We evaluated baseline characteristics and MS therapies associated with severe COVID-19 by multivariate and propensity score (PS)-weighted ordinal logistic models. Sensitivity analyses were run to confirm the results. Results: Of 844 PwMS with suspected (n = 565) or confirmed (n = 279) COVID-19, 13 (1.54%) died; 11 of them were in a progressive MS phase, and 8 were without any therapy. Thirty-eight (4.5%) were admitted to an ICU; 99 (11.7%) had radiologically documented pneumonia; 96 (11.4%) were hospitalized. After adjusting for region, age, sex, progressive MS course, Expanded Disability Status Scale, disease duration, body mass index, comorbidities, and recent methylprednisolone use, therapy with an anti-CD20 agent (ocrelizumab or rituximab) was significantly associated (odds ratio [OR] = 2.37, 95% confidence interval [CI] = 1.18-4.74, p = 0.015) with increased risk of severe COVID-19. Recent use (<1 month) of methylprednisolone was also associated with a worse outcome (OR = 5.24, 95% CI = 2.20-12.53, p = 0.001). Results were confirmed by the PS-weighted analysis and by all the sensitivity analyses. Interpretation: This study showed an acceptable level of safety of therapies with a broad array of mechanisms of action. However, some specific elements of risk emerged. These will need to be considered while the COVID-19 pandemic persists.