The aim of the study was to analyze the usefulness of the CURB-65 and pneumonia severity index (PSI) in predicting 30-day mortality in patients with COVID-19 and to identify other factors associated with higher mortality. A retrospective study was performed at a pandemic hospital in Istanbul, Turkey and 681 laboratory-confirmed patients with COVID-19 were included. Data on characteristics, vital signs and laboratory parameters were recorded form electronic medical records. We used receiver operating characteristic analysis to quantify the discriminatory abilities of the prognostic scales. Univariate and multivariate logistic regression analyses were performed to identify other predictors of mortality. Higher CRP levels were associated with an increased risk for mortality (OR:1.015, 95% CI 1.008 to 1.021, p < 0.001). The PSI performed significantly better than the CURB-65 (AUC: 0.91, 95% CI 0.88-0.93 vs AUC:0.88, 95% CI:0.85-0.90; p = 0.01) and the addition of CRP levels to PSI did not improve the performance of PSI in predicting mortality (AUC: 0.91, 95% CI 0.88-0.93 vs AUC:0.92, 95% CI:0.89-0.94; p = 0.29). In a large group of hospitalized patients with COVID-19, we found that PSI performed better than CURB-65 in predicting mortality. Adding CRP levels to PSI did not improve the 30-day mortality prediction.

In this study, laboratorial parameters of hospitalized novel coronavirus (COVID‐19) patients, who were complicated with severe pneumonia, were compared with the findings of cytokine storm developing in macrophage activation syndrome (MAS)/secondary hemophagocytic lymphohistiocytosis (sHLH). Severe pneumonia occurred as a result of cytokine storm in some patients who needed intensive care unit (ICU), and it is aimed to determine the precursive parameters in this situation. Also in this study, the aim is to identify laboratory criteria that predict worsening disease and ICU intensification, as well as the development of cytokine storm. This article comprises a retrospective cohort study of patients admitted to a single institution with COVID‐19 pneumonia. This study includes 150 confirmed COVID‐19 patients with severe pneumonia. When they were considered as severe pneumonia patients, the clinic and laboratory parameters of this group are compared with H‐score criteria. Patients are divided into two subgroups; patients with worsened symptoms who were transferred into tertiary ICU, and patients with stable symptoms followed in the clinic. For the patients with confirmed COVID‐19 infection, after they become complicated with severe pneumonia, lymphocytopenia (55.3%), anemia (12.0%), thrombocytopenia (19.3%), hyperferritinemia (72.5%), hyperfibrinogenemia (63.7%) and elevated lactate dehydrogenase (LDH) (90.8%), aspartate aminotransaminase (AST) (31.3%), alanine aminotransaminase (ALT) (20.7%) are detected. There were no significant changes in other parameters. Blood parameters between the pre‐ICU period and the ICU period (in which their situation had been worsened and acute respiratory distress syndrome [ARDS] was developed) were also compared. In the latter group lymphocyte levels were found significantly reduced (p = 0.01), and LDH, highly sensitive troponin (hs‐troponin), procalcitonin, and triglyceride levels were significantly increased (p < 0.05). In addition, there was no change in hemoglobin, leukocyte, platelet, ferritin, and liver function test levels, including patients who developed ARDS, similar to the cytokine storm developed in MAS/sHLH. COVID‐19 pneumonia has similar findings as hyperinflammatory syndromes but does not seem to have typical features as in cytokine storm developed in MAS/sHLH. In the severe patient group who has started to develop ARDS signs, a decrease in lymphocyte level in addition to the elevated LDH, hs‐troponin, procalcitonin, and triglyceride levels can be a predictor in progression to ICU admission and could help in the planning of anti‐cytokine therapy.

Due to current advances and growing experience in the management of coronavirus Disease 2019 (COVID‐19), the outcome of COVID‐19 patients with severe/critical illness would be expected to be better in the second wave compared with the first wave. As our hospitalization criteria changed in the second wave, we aimed to investigate whether a favorable outcome occurred in hospitalized COVID‐19 patients with only severe/critical illness. Among 642 laboratory‐confirmed hospitalized COVID‐19 patients in the first wave and 1121 in the second wave, those who met World Health Organization (WHO) definitions for severe or critical illness on admission or during follow‐up were surveyed. Data on demographics, comorbidities, C‐reactive protein (CRP) levels on admission, and outcomes were obtained from an electronic hospital database. Univariate analysis was performed to compare the characteristics of patients in the first and second waves. There were 228 (35.5%) patients with severe/critical illness in the first wave and 681 (60.7%) in the second wave. Both groups were similar in terms of age, gender, and comorbidities, other than chronic kidney disease. Median serum CRP levels were significantly higher in patients in the second wave compared with those in the first wave [109 mg/L (interquartile range [IQR]: 65–157) vs. 87 mg/L (IQR: 39–140); p < 0.001]. However, intensive care unit admission and mortality rates were similar among the waves. Even though a lower mortality rate in the second wave has been reported in previous studies, including all hospitalized COVID‐19 patients, we found similar demographics and outcomes among hospitalized COVID‐19 patients with severe/critical illness in the first and second wave.

Ocrelizumab is an anti-CD20 monoclonal antibody used in the treatment of primary progressive and relapsing multiple sclerosis (MS). Although cases of organizing pneumonia have been reported in association with other antiCD20 agents such as rituximab, there is insufficient data in the literature on Ocrelizumab-associated lung involvement. Herein, we present a case of organizing pneumonia in a 37-year-old female patient with multiple sclerosis following Ocrelizumab use.