Background The coronavirus disease 2019 (COVID-19) pandemic rapidly increases the use of mechanical ventilation (MV). Such cases further require extracorporeal membrane oxygenation (ECMO) and have a high mortality. Objective We aimed to identify prognostic biomarkers pathophysiologically reflecting future deterioration of COVID-19. Methods Clinical, laboratory, and outcome data were collected from 102 patients with moderate to severe COVID-19. Interleukin (IL)-6 level and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA copy number in plasma were assessed with ELISA kit and quantitative PCR. Results Twelve patients died or required ECMO owing to acute respiratory distress syndrome despite the use of MV. Among various variables, a ratio of oxygen saturation to fraction of inspired oxygen (SpO2/FiO2), IL-6, and SARS-CoV-2 RNA on admission before intubation were strongly predictive of fatal outcomes after the MV use. Moreover, among these variables, combining SpO2/FiO2, IL-6, and SARS-CoV-2 RNA showed the highest accuracy (area under the curve: 0.934). In patients with low SpO2/FiO2 (< 261), fatal event-rate after the MV use at the 30-day was significantly higher in patients with high IL-6 (> 49 pg/mL) and SARS-CoV-2 RNAaemia (> 1.5 copies/μL) compared to those with high IL-6 or RNAaemia or without high IL-6 and RNAaemia (88% vs. 22% or 8%, log-rank test P = 0.0097 or P < 0.0001, respectively). Conclusions Combining SpO2/FiO2 with high IL-6 and SARS-CoV-2 RNAaemia which reflect hyperinflammation and viral overload allows accurately and before intubation identifying COVID-19 patients at high risk for ECMO use or in-hospital death despite the use of MV.

Background COVID‐19 pneumonia has lesions with a decreased blood flow. Dual‐energy computed tomography is suitable to elucidate the pathogenesis of COVID‐19 pneumonia because it highlights the blood flow changes in organs. We report the dual‐energy computed tomography findings of a successfully treated case of COVID‐19 pneumonia. Case Presentation An obese 49‐year‐old man with COVID‐19 pneumonia was transferred from another hospital on day 11 after onset of illness. Although he was hypoxemic (PaO 2 /FiO 2 = 100), tracheal intubation was not performed after anticipating difficulty in weaning from mechanical ventilation. Prone position therapy and nasal high flow therapy were administered, and the patient was discharged after his condition improved. Dual‐energy computed tomography was performed three times during hospitalization, and it revealed improvement in the blood flow defect, unlike plain computed tomography that did not show much improvement. Conclusion Dual‐energy computed tomography can assess perfusion in COVID‐19 pneumonia in real time and may be able to predict its severity.

Aim: Coronavirus disease 2019 pneumonia differs from ordinary pneumonia in that it is associated with lesions that reduce pulmonary perfusion. Dual-energy computed tomography is well suited to elucidate the etiology of coronavirus disease 2019 pneumonia, because it highlights changes in organ blood flow. In this study, we investigated whether dual-energy computed tomography could be used to determine the severity of coronavirus disease 2019 pneumonia.Methods: Patients who were diagnosed with coronavirus disease 2019 pneumonia, admitted to our hospital, and underwent dualenergy computed tomography were included in this study. Dual-energy computed tomography findings, plane computed tomography findings, disease severity, laboratory data, and clinical features were compared between two groups: a critical group (18 patients) and a non-critical group (30 patients). Results:The dual-energy computed tomography results indicated that the percentage of flow loss was significantly higher in the critical group compared with the non-critical group (P < 0.001). Additionally, our data demonstrated that thrombotic risk was associated with differences in clinical characteristics (P = 0.018). Receiver operating characteristic analysis revealed that the percentage of flow loss, evaluated using dual-energy computed tomography, could predict severity in the critical group with 100% sensitivity and 77% specificity. However, there were no significant differences in the receiver operating characteristic values for dual-energy computed tomography and plane computed tomography. Conclusion:Dual-energy computed tomography can be used to associate the severity of coronavirus disease 2019 pneumonia with high accuracy. Further studies are needed to draw definitive conclusions.

Aim This study compared the clinical outcomes of critically ill patients with coronavirus disease (COVID‐19) pneumonia treated with high‐dose methylprednisolone and other steroids. Methods This retrospective observational study included critically ill COVID‐19 pneumonia adult patients with tracheal intubation treated between April 1, 2020, and September 15, 2021. Of the 46 patients who met the inclusion criteria, 36 received steroid pulse therapy (Group P) and 10 received steroids without pulse therapy (Group NP). Subgroup analyses in Group P by methylprednisolone dose of 1000 or 500 mg for 3 days during intensive care unit stay were carried out. The primary and secondary outcomes were 28‐day mortality and steroid‐associated complications, respectively. Results In the Kaplan–Meier curve analysis, there was no difference in the 28‐day survival between P and NP groups (log–rank P = 0.046). Univariate Cox proportional hazard model also showed that Group P had a decreased 28‐day mortality (hazard ratio 0.30; [95% confidence interval, 0.20–0.44]; P < 0.01). After adjusting for covariates (age, sex, remdesivir, baricitinib, and favipiravir), using the multivariate Cox proportional hazards model, Group P had improved 28‐day mortality (0.50 [0.30–0.85], P = 0.01). Conclusion Steroid pulse therapy might improve the 28‐day and in‐hospital mortality in critically ill patients with COVID‐19 pneumonia.