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

@article{Ge2020LungMO,
  title={Lung Mechanics of Mechanically Ventilated Patients With COVID-19: Analytics With High-Granularity Ventilator Waveform Data},
  author={Huiqing Ge and Qing Pan and Yong Zhou and Peifeng Xu and Lingwei Zhang and Junli Zhang and Jun Yi and Changming Yang and Yuhan Zhou and Limin Liu and Wentao Bao},
  journal={Frontiers in Medicine},
  year={2020},
  volume={7},
  url={https://api.semanticscholar.org/CorpusID:221192135}
}
The study for the first time described full trajectory of lung mechanics of patients with COVID-19 and showed that prone positioning was associated with improved compliance; higher plateau pressure and use of neuromuscular blockades were associated with lower risk of AI.
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