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      Lung Recruitment, Individualized PEEP, and Prone Position Ventilation for COVID-19-Associated Severe ARDS: A Single Center Observational Study

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          Abstract

          Background: Patients with coronavirus disease 2019 (COVID-19) may develop severe acute respiratory distress syndrome (ARDS). The aim of the study was to explore the lung recruitability, individualized positive end-expiratory pressure (PEEP), and prone position in COVID-19-associated severe ARDS.

          Methods: Twenty patients who met the inclusion criteria were studied retrospectively (PaO 2/FiO 2 68.0 ± 10.3 mmHg). The patients were ventilated under volume-controlled mode with tidal volume of 6 mL/kg predicted body weight. The lung recruitability was assessed via the improvement of PaO 2, PaCO 2, and static respiratory system compliance (C stat) from low to high PEEP (5–15 cmH 2O). Patients were considered recruitable if two out of three parameters improved. Subsequently, PEEP was titrated according to the best C stat. The patients were turned to prone position for further 18–20 h.

          Results: For recruitability assessment, average value of PaO 2 was slightly improved at PEEP 15 cmH 2O (68.0 ± 10.3 vs. 69.7 ± 7.9 mmHg, baseline vs. PEEP 15 cmH 2O; p = 0.31). However, both PaCO 2 and C stat worsened (PaCO 2: 72.5 ± 7.1 vs. 75.1 ± 9.0 mmHg; p < 0.01. C stat: 17.5 ± 3.5 vs. 16.6 ± 3.9 ml/cmH 2O; p = 0.05). Only four patients (20%) were considered lung recruitable. Individually titrated PEEP was higher than the baseline PEEP (8.0 ± 2.1 cmH 2O vs. 5 cmH 2O, p < 0.001). After 18–20 h of prone positioning, investigated parameters were significantly improved compared to the baseline (PaO 2: 82.4 ± 15.5 mmHg. PaCO 2: 67.2 ± 6.4 mmHg. C stat: 20.6 ± 4.4 ml/cmH 2O. All p < 0.001 vs. baseline).

          Conclusions: Lung recruitability was very low in COVID-19-associated severe ARDS. Individually titrated PEEP and prone positioning might improve lung mechanics and blood gasses.

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          Most cited references14

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          Baseline Characteristics and Outcomes of 1591 Patients Infected With SARS-CoV-2 Admitted to ICUs of the Lombardy Region, Italy

          In December 2019, a novel coronavirus (severe acute respiratory syndrome coronavirus 2 [SARS-CoV-2]) emerged in China and has spread globally, creating a pandemic. Information about the clinical characteristics of infected patients who require intensive care is limited.
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            Acute respiratory distress syndrome: the Berlin Definition.

            The acute respiratory distress syndrome (ARDS) was defined in 1994 by the American-European Consensus Conference (AECC); since then, issues regarding the reliability and validity of this definition have emerged. Using a consensus process, a panel of experts convened in 2011 (an initiative of the European Society of Intensive Care Medicine endorsed by the American Thoracic Society and the Society of Critical Care Medicine) developed the Berlin Definition, focusing on feasibility, reliability, validity, and objective evaluation of its performance. A draft definition proposed 3 mutually exclusive categories of ARDS based on degree of hypoxemia: mild (200 mm Hg < PaO2/FIO2 ≤ 300 mm Hg), moderate (100 mm Hg < PaO2/FIO2 ≤ 200 mm Hg), and severe (PaO2/FIO2 ≤ 100 mm Hg) and 4 ancillary variables for severe ARDS: radiographic severity, respiratory system compliance (≤40 mL/cm H2O), positive end-expiratory pressure (≥10 cm H2O), and corrected expired volume per minute (≥10 L/min). The draft Berlin Definition was empirically evaluated using patient-level meta-analysis of 4188 patients with ARDS from 4 multicenter clinical data sets and 269 patients with ARDS from 3 single-center data sets containing physiologic information. The 4 ancillary variables did not contribute to the predictive validity of severe ARDS for mortality and were removed from the definition. Using the Berlin Definition, stages of mild, moderate, and severe ARDS were associated with increased mortality (27%; 95% CI, 24%-30%; 32%; 95% CI, 29%-34%; and 45%; 95% CI, 42%-48%, respectively; P < .001) and increased median duration of mechanical ventilation in survivors (5 days; interquartile [IQR], 2-11; 7 days; IQR, 4-14; and 9 days; IQR, 5-17, respectively; P < .001). Compared with the AECC definition, the final Berlin Definition had better predictive validity for mortality, with an area under the receiver operating curve of 0.577 (95% CI, 0.561-0.593) vs 0.536 (95% CI, 0.520-0.553; P < .001). This updated and revised Berlin Definition for ARDS addresses a number of the limitations of the AECC definition. The approach of combining consensus discussions with empirical evaluation may serve as a model to create more accurate, evidence-based, critical illness syndrome definitions and to better inform clinical care, research, and health services planning.
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              Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study

              Summary Background A cluster of patients with coronavirus disease 2019 (COVID-19) pneumonia caused by infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were successively reported in Wuhan, China. We aimed to describe the CT findings across different timepoints throughout the disease course. Methods Patients with COVID-19 pneumonia (confirmed by next-generation sequencing or RT-PCR) who were admitted to one of two hospitals in Wuhan and who underwent serial chest CT scans were retrospectively enrolled. Patients were grouped on the basis of the interval between symptom onset and the first CT scan: group 1 (subclinical patients; scans done before symptom onset), group 2 (scans done ≤1 week after symptom onset), group 3 (>1 week to 2 weeks), and group 4 (>2 weeks to 3 weeks). Imaging features and their distribution were analysed and compared across the four groups. Findings 81 patients admitted to hospital between Dec 20, 2019, and Jan 23, 2020, were retrospectively enrolled. The cohort included 42 (52%) men and 39 (48%) women, and the mean age was 49·5 years (SD 11·0). The mean number of involved lung segments was 10·5 (SD 6·4) overall, 2·8 (3·3) in group 1, 11·1 (5·4) in group 2, 13·0 (5·7) in group 3, and 12·1 (5·9) in group 4. The predominant pattern of abnormality observed was bilateral (64 [79%] patients), peripheral (44 [54%]), ill-defined (66 [81%]), and ground-glass opacification (53 [65%]), mainly involving the right lower lobes (225 [27%] of 849 affected segments). In group 1 (n=15), the predominant pattern was unilateral (nine [60%]) and multifocal (eight [53%]) ground-glass opacities (14 [93%]). Lesions quickly evolved to bilateral (19 [90%]), diffuse (11 [52%]) ground-glass opacity predominance (17 [81%]) in group 2 (n=21). Thereafter, the prevalence of ground-glass opacities continued to decrease (17 [57%] of 30 patients in group 3, and five [33%] of 15 in group 4), and consolidation and mixed patterns became more frequent (12 [40%] in group 3, eight [53%] in group 4). Interpretation COVID-19 pneumonia manifests with chest CT imaging abnormalities, even in asymptomatic patients, with rapid evolution from focal unilateral to diffuse bilateral ground-glass opacities that progressed to or co-existed with consolidations within 1–3 weeks. Combining assessment of imaging features with clinical and laboratory findings could facilitate early diagnosis of COVID-19 pneumonia. Funding None.
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                Author and article information

                Contributors
                Journal
                Front Med (Lausanne)
                Front Med (Lausanne)
                Front. Med.
                Frontiers in Medicine
                Frontiers Media S.A.
                2296-858X
                22 January 2021
                2020
                22 January 2021
                : 7
                : 603943
                Affiliations
                [1] 1State Key Lab of Respiratory Diseases, Department of Critical Care Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University , Guangzhou, China
                [2] 2Department of Critical Care Medicine, The First Affiliated Hospital of Zhejiang University , Hangzhou, China
                [3] 3Department of Biomedical Engineering, Fourth Military Medical University , Xi'an, China
                [4] 4Institute of Technical Medicine, Furtwangen University , Villingen-Schwenningen, Germany
                [5] 5Department of Critical Care Medicine, Zhongshan Hospital, Fudan University , Shanghai, China
                [6] 6Department of Critical Care Medicine, Xuanwu Hospital, Capital Medical University , Beijing, China
                [7] 7Research Center for Translational Medicine, Wuhan Jinyintan Hospital , Wuhan, China
                [8] 8Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology and Wuhan Jinyintan Hospital, Chinese Academy of Sciences , Wuhan, China
                Author notes

                Edited by: Alberto Enrico Maraolo, University of Naples Federico II, Italy

                Reviewed by: Ling Liu, Southeast University, China; Nicolas Nin, Hospital Español Dr. Juan José Crottogini, Uruguay

                *Correspondence: Yimin Li dryiminli@ 123456vip.163.com

                This article was submitted to Intensive Care Medicine and Anesthesiology, a section of the journal Frontiers in Medicine

                †These authors have contributed equally to this work

                Article
                10.3389/fmed.2020.603943
                7862746
                33553203
                38376800-65b9-494a-bba6-68a4927f77c3
                Copyright © 2021 Sang, Zheng, Zhao, Zhong, Jiang, Huang, Liu, Li and Zhang.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 08 September 2020
                : 17 December 2020
                Page count
                Figures: 2, Tables: 2, Equations: 0, References: 16, Pages: 6, Words: 3651
                Funding
                Funded by: National Major Science and Technology Projects of China 10.13039/501100013076
                Award ID: 2017ZX10204401
                Award ID: 2020ZX09201001
                Categories
                Medicine
                Original Research

                coronavirus disease 2019,acute respiratory distress syndrome,lung recruitability,peep titration,prone position ventilation

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