Five novel clinical phenotypes for critically ill patients with mechanical ventilation in intensive care units: a retrospective and multi database study.

Journal: Respiratory research
Published Date: Dec 10, 2020

Abstract

BACKGROUND: Although protective mechanical ventilation (MV) has been used in a variety of applications, lung injury may occur in both patients with and without acute respiratory distress syndrome (ARDS). The purpose of this study is to use machine learning to identify clinical phenotypes for critically ill patients with MV in intensive care units (ICUs).

Authors

  • Longxiang Su
    Department of Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
  • Zhongheng Zhang
    Department of Emergency Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Fanglan Zheng
    Medical Data R&D Center, Digital China Health Technologies Co., Ltd., Beijing, 100080, People's Republic of China.
  • Pan Pan
    School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China.
  • Na Hong
    Department of Biomedical Informatics and Data Science, School of Medicine, Yale University, New Haven, CT 06510, United States.
  • Chun Liu
  • Jie He
    Clinical Medical College of Chengdu Medical College, Chengdu, Sichuan, China.
  • Weiguo Zhu
    Department of General Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
  • Yun Long
    Department of Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
  • Dawei Liu
    Department of Anesthesiology, Yongchuan Hospital of Chongqing Medical University, Chongqing, China.

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