Your browser doesn't support javascript.
loading
Application of a cloud platform that identifies patient-ventilator asynchrony and enables continuous monitoring of mechanical ventilation in intensive care unit.
Chen, Xiangyu; Fan, Junping; Zhao, Wenxian; Shi, Ruochun; Guo, Nan; Chang, Zhigang; Song, Maifen; Wang, Xuedong; Chen, Yan; Li, Tong; Li, Guang-Gang; Su, Longxiang; Long, Yun.
Afiliación
  • Chen X; Department of Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100730, China.
  • Fan J; Department of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Shuaifuyuan Wangfujing, Dongcheng District, Beijing, China.
  • Zhao W; Department of Critical Care Medicine, Beijing Puren Hospital, Beijing, 100062, China.
  • Shi R; Department of Critical Care Medicine, Beijing Sixth Hospital, Beijing, 100007, China.
  • Guo N; Intensive Care Unit, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China.
  • Chang Z; Intensive Care Unit, Beijing Hospital, Beijing, 100005, China.
  • Song M; Department of Critical Care Medicine, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China.
  • Wang X; Intensive Care Unit, Beijing Hepingli Hospital, Beijing, 100013, China.
  • Chen Y; Intensive Care Unit, Beijing Longfu Hospital, Beijing, 100010, China.
  • Li T; Intensive Care Unit, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
  • Li GG; Department of Critical Care Medicine, 7th Medical Center of PLA General Hospital, Beijing, China.
  • Su L; Department of Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100730, China.
  • Long Y; Department of Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100730, China.
Heliyon ; 10(13): e33692, 2024 Jul 15.
Article en En | MEDLINE | ID: mdl-39055813
ABSTRACT

Background:

Patient-ventilator asynchrony (PVA) frequently occurs in mechanically ventilated patients within the ICU and has the potential for harm. Depending solely on the health care team cannot accurately and promptly identify PVA. To address this issue, our team has developed a cloud-based platform for monitoring mechanical ventilation (MV), comprising the PVA-RemoteMonitor system and the 24-h MV analysis report. We conducted a survey to evaluate physicians' satisfaction and acceptance of the platform in 14 ICUs.

Methods:

Data from medical records, clinical information systems, and ventilators were uploaded to the cloud platform and underwent data processing. The data were analyzed to monitor PVA and displayed in the front-end. The 24-h analysis report for MV was generated for clinical reference. Critical care physicians in 14 hospitals' ICUs that involved in the platform participated in a questionnaire survey, among whom 10 physicians were interviewed to investigate physicians' acceptance and opinions of this system.

Results:

The PVA-RemoteMonitor system exhibited a high level of specificity in detecting flow insufficiency, premature cycle, delayed cycle, reverse trigger, auto trigger, and overshoot, with sensitivities of 90.31 %, 98.76 %, 99.75 %, 99.97 %, 100 %, and 99.69 %, respectively. The 24-h analysis report supplied essential data about PVA and respiratory mechanics. 86.2 % (75/87) of physicians supported the application of this platform.

Conclusions:

The PVA-RemoteMonitor system accurately identified PVA, and the MV analysis report provided guidance in controlling PVA. Our platform can effectively assist ICU physicians in the management of ventilated patients.
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Heliyon Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Heliyon Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido