Methodological development of the remote ventilate view platform for real-time monitoring of patient-ventilator asynchrony and respiratory parameters in severe pneumonia patients
A higher OAI and increased flow insufficiency were associated with worse outcomes in COVID-19 patients receiving mechanical ventilation. This study demonstrates the feasibility and clinical potential of a real-time, platform-based approach for automated detection and longitudinal monitoring of PVA.
Authors
- Yi Chi (ORCID: https://orcid.org/0000-0002-0948-9311)
- Longxiang Su (ORCID: https://orcid.org/0000-0002-0942-2870)
- Elias Baedorf Kassis (ORCID: https://orcid.org/0000-0001-5491-6063)
- Siyi Yuan (ORCID: https://orcid.org/0000-0002-0140-1282)
- Yue Ma (ORCID: https://orcid.org/0000-0002-1980-7520)
- Fuhong Cai (ORCID: https://orcid.org/0000-0002-0327-7561)
- Yan Li (ORCID: https://orcid.org/0000-0002-5846-7813)
- Xiangyu Chen (ORCID: https://orcid.org/0000-0002-4506-7394)
- Shengjun Liu (ORCID: https://orcid.org/0009-0004-8321-3585)
- Yun Long (ORCID: https://orcid.org/0000-0003-0274-8322)
- Song Zhang (ORCID: https://orcid.org/0000-0002-5801-5374)
Institutions
- Beth Israel Deaconess Medical Center (US)
- Harvard University (US)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking Union Medical College Hospital (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Journal of Intensive Medicine
- Published
- 2025-09-24
- DOI
- https://doi.org/10.1016/j.jointm.2025.07.003
- Citations
- 1
- Primary Topic
- Respiratory Support and Mechanisms
- Type
- article
- Field-Weighted Citation Impact
- 1.52