9 research outputs found

    Additional file 3 of Trends in survival during the pandemic in patients with critical COVID-19 receiving mechanical ventilation with or without ECMO: analysis of the Japanese national registry data

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    Additional file 3: Fig. S2. Serial changes in the survival rates of patients with severe COVID-19 receiving mechanical ventilation (A) and ECMO (B). (A) The number of patients receiving mechanical ventilation increased with each outbreak from the first to the fifth outbreaks; however, the survival rate improved continuously. The gray bars indicate the numbers of survivors, the black bars indicate the numbers of deaths, and the white circles indicate the survival rates. (B) The survival rate remained nearly unchanged throughout the five outbreaks, except for a slight decrease during the third outbreak. The survival rate divided by the average number of patients per month (busyness-adjusted survival index) improved continuously. The gray bars indicate the numbers of survivors, the black bars indicate the numbers of deaths, the white circles indicate the survival rates, and the white diamonds indicate the busyness-adjusted survival index values. COVID-19, coronavirus disease 2019; ECMO, extracorporeal membrane oxygenatio

    Additional file 2 of Trends in survival during the pandemic in patients with critical COVID-19 receiving mechanical ventilation with or without ECMO: analysis of the Japanese national registry data

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    Additional file 2: Fig. S1. Serial changes in the number of patients with severe COVID-19 receiving mechanical ventilation and ECMO, and the serial proportion of patients who had ECMO added to mechanical ventilation. There have been five outbreaks of COVID-19 in Japan to date, and the number of patients receiving mechanical ventilation increased continuously. However, the proportion of patients changed from mechanical ventilation to ECMO decreased continuously. The gray bars indicate the numbers of patients receiving mechanical ventilation, the black bars indicate the numbers of patients receiving ECMO, and the white circles indicate the proportions of patients who were changed from mechanical ventilation to ECMO. COVID-19, coronavirus disease 2019; ECMO, extracorporeal membrane oxygenatio

    Additional file 4 of Trends in survival during the pandemic in patients with critical COVID-19 receiving mechanical ventilation with or without ECMO: analysis of the Japanese national registry data

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    Additional file 4: Fig. S3. ROC curve analysis for predicting poor outcome in patients with severe COVID-19 receiving mechanical ventilation. (A) ROC curve for age, (B) for body mass index, (C) for the number of ventilator days, and (D) for the number of mechanical ventilations experienced at an institution for patients with severe COVID-19. ROC, receiver operating characteristic curve; COVID-19, coronavirus disease 201

    Additional file 5 of Trends in survival during the pandemic in patients with critical COVID-19 receiving mechanical ventilation with or without ECMO: analysis of the Japanese national registry data

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    Additional file 5: Fig. S4. ROC curve analysis for predicting poor outcome in patients with critical COVID-19 receiving ECMO. (A) ROC curve for age, (B) body mass index, (C) number of ventilator days before starting ECMO, (D) number of ECMO experiences at an institution for patients with critical COVID-19, and (E) number of ECMO days. ROC, receiver operating characteristic curve; COVID-19, coronavirus disease 2019; ECMO, extracorporeal membrane oxygenatio

    Additional file 1: of The clinical practice guideline for the management of ARDS in Japan

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    contains Modified Preferred Reporting Items of Systematic Reviews and Meta-Analyses (PRISMA) flow-chart, risk of bias table, forest plots, evidence profiles, and evidence to decision table for each CQ according to the GRADE system. (PDF 32153 kb

    Additional file 1 of Chest CT findings in severe acute respiratory distress syndrome requiring V-V ECMO: J-CARVE registry

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    Additional file 1: SMethods. Figure S1. Representative images of each of the characteristic pulmonary opacities on chest computed tomography scans. Figure S2. Distribution of registered patients by years. Figure S3. Cumulative proportion of the duration (h) between chest computed tomography examinations and initiation of veno-venous extracorporeal membrane oxygenation support. Figure S4. Characteristics of the chest computed tomography findings according to the mechanical ventilation–extracorporeal membrane oxygenation support duration and the underlying etiology of the acute respiratory distress syndrome. Figure S5. Survival curve of the chest computed tomography findings related to changes outside of the pulmonary opacity (excluding subcutaneous emphysema). Figure S6. Survival curve of participants with and without traction bronchiectasis separately according to the underlying etiology of acute respiratory distress syndrome. Table S1. Concordance rates between two evaluators. Table S2. Basic information of the participating hospitals. Table S3. Characteristics of chest computed tomography findings. Table S4. Results of multivariate Cox regression analysis of the relationship between V-V ECMO support initiation and 90-day in-hospital mortality. Table S5. Results of multivariate logistic regression analysis for successful ECMO liberation
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