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新型冠状病毒肺炎机械通气患者的肺力学:基于高分辨率通气波形数据的分析

Lung Mechanics of Mechanically Ventilated Patients With COVID-19: Analytics With High-Granularity Ventilator Waveform Data.

作者信息

Ge Huiqing, Pan Qing, Zhou Yong, Xu Peifeng, Zhang Lingwei, Zhang Junli, Yi Jun, Yang Changming, Zhou Yuhan, Liu Limin, Zhang Zhongheng

机构信息

Department of Respiratory Care, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.

College of Information Engineering, Zhejiang University of Technology, Hangzhou, China.

出版信息

Front Med (Lausanne). 2020 Aug 21;7:541. doi: 10.3389/fmed.2020.00541. eCollection 2020.

Abstract

Lung mechanics during invasive mechanical ventilation (IMV) for both prognostic and therapeutic implications; however, the full trajectory lung mechanics has never been described for novel coronavirus disease 2019 (COVID-19) patients requiring IMV. The study aimed to describe the full trajectory of lung mechanics of mechanically ventilated COVID-19 patients. The clinical and ventilator setting that can influence patient-ventilator asynchrony (PVA) and compliance were explored. Post-extubation spirometry test was performed to assess the pulmonary function after COVID-19 induced ARDS. This was a retrospective study conducted in a tertiary care hospital. All patients with IMV due to COVID-19 induced ARDS were included. High-granularity ventilator waveforms were analyzed with deep learning algorithm to obtain PVAs. Asynchrony index (AI) was calculated as the number of asynchronous events divided by the number of ventilator cycles and wasted efforts. Mortality was recorded as the vital status on hospital discharge. A total of 3,923,450 respiratory cycles in 2,778 h were analyzed (average: 24 cycles/min) for seven patients. Higher plateau pressure (Coefficient: -0.90; 95% CI: -1.02 to -0.78) and neuromuscular blockades (Coefficient: -6.54; 95% CI: -9.92 to -3.16) were associated with lower AI. Survivors showed increasing compliance over time, whereas non-survivors showed persistently low compliance. Recruitment maneuver was not able to improve lung compliance. Patients were on supine position in 1,422 h (51%), followed by prone positioning (499 h, 18%), left positioning (453 h, 16%), and right positioning (404 h, 15%). As compared with supine positioning, prone positioning was associated with 2.31 ml/cmHO (95% CI: 1.75 to 2.86; < 0.001) increase in lung compliance. Spirometry tests showed that pulmonary functions were reduced to one third of the predicted values after extubation. The study for the first time described full trajectory of lung mechanics of patients with COVID-19. The result showed that prone positioning was associated with improved compliance; higher plateau pressure and use of neuromuscular blockades were associated with lower risk of AI.

摘要

有创机械通气(IMV)期间的肺力学具有预后和治疗意义;然而,对于需要IMV的2019年新型冠状病毒病(COVID-19)患者,肺力学的完整变化过程从未被描述过。本研究旨在描述机械通气的COVID-19患者肺力学的完整变化过程。探讨了可能影响患者-呼吸机不同步(PVA)和顺应性的临床及呼吸机设置。拔管后进行肺活量测定以评估COVID-19诱发的急性呼吸窘迫综合征(ARDS)后的肺功能。这是一项在三级护理医院进行的回顾性研究。纳入所有因COVID-19诱发ARDS而接受IMV的患者。采用深度学习算法分析高分辨率呼吸机波形以获取PVA。异步指数(AI)计算为异步事件数除以呼吸机周期数和无效用力次数。将死亡率记录为出院时的生命状态。对7例患者在2778小时内的3923450个呼吸周期进行了分析(平均:24次/分钟)。较高的平台压(系数:-0.90;95%置信区间:-1.02至-0.78)和神经肌肉阻滞(系数:-6.54;95%置信区间:-9.92至-3.16)与较低的AI相关。幸存者的顺应性随时间增加,而非幸存者的顺应性持续较低。肺复张手法未能改善肺顺应性。患者仰卧位1422小时(51%),其次是俯卧位(499小时,18%)、左侧卧位(453小时,16%)和右侧卧位(404小时,15%)。与仰卧位相比,俯卧位与肺顺应性增加2.31 ml/cmH₂O(95%置信区间:1.75至2.86;P<0.001)相关。肺活量测定显示,拔管后肺功能降至预测值的三分之一。该研究首次描述了COVID-19患者肺力学的完整变化过程。结果表明,俯卧位与顺应性改善相关;较高的平台压和神经肌肉阻滞的使用与较低的AI风险相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd53/7472529/311e53f7e841/fmed-07-00541-g0001.jpg

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