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Detection of Different COVID-19 Pneumonia Phenotypes with Estimated Alveolar Collapse and Overdistention by Bedside Electrical Impedance Tomography ?

机译:用估计的肺泡塌陷和床边电阻抗断层扫描的不同covid-19肺炎表型

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COVID-19 induced acute respiratory distress syndrome (ARDS) could have two different phenotypes, which was reported to have different response and outcome to the typical ARDS positive end-expiration pressure (PEEP) treatment. The identification of the different phenotypes in terms of the recruitability can help improve the patient outcome. In this contribution we conducted alveolar overdistention and collapse analysis with the long term electrical impedance tomography monitoring data on two severe COVID-19 pneumonia patients. The result showed different patient reactions to the PEEP trial, revealed the progressive change in the patient status, and indicted a possible phenotype transition in one patient. It might suggest that EIT can be a practical tool to identify phenotypes and to provide progressive information of COVID-19 pneumonia.
机译:Covid-19诱导的急性呼吸窘迫综合征(ARDS)可具有两种不同的表型,据报道,典型的ARDS阳性终点(PEEP)治疗具有不同的反应和结果。 在募粮方面鉴定不同的表型可以有助于改善患者结果。 在这一贡献中,我们通过两种严重的Covid-19肺炎患者的长期电阻抗断层扫描数据进行了肺泡过度和崩溃分析。 结果表明对PEEP试验的不同患者反应,揭示了患者身份的逐步变化,并在一个患者中表明可能的表型过渡。 它可能表明EIT可以是识别表型的实用工具,并提供Covid-19肺炎的渐进信息。

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