| Accession |
PRJCA010817 |
| Title |
Application of bedside ultrasound in optimizing the extubation process in mechanically ventilated patients |
| Relevance |
Medical |
| Data types |
Random survey
|
| Organisms |
Homo sapiens
|
| Description |
Prolonged mechanical ventilation increases ventilator-associated pneumonia and ICU mortality, and patients should be assessed daily to avoid delays in extubation. Factors affecting extubation include abnormal respiratory function, cardiac function and diaphragmatic function, while bedside B-ultrasound can evaluate the cardiopulmonary and diaphragm function of mechanically ventilated patients and predict the rate of extubation. Our previous study found that patients with an average mechanical ventilation time of more than 24 days after cardiac surgery were analyzed by bedside ultrasound and subsequently followed by targeted treatment. Finally, 60% of patients were weaning success and discharged. This study is intended to optimize the extubation process, shorten the mechanical ventilation time, and reduce patient costs through daily bedside ultrasound examination for mechanically ventilated patients. |
| Sample scope |
clinical relevant data |
| Release date |
2022-07-27 |
| Grants |
| Agency |
program |
Grant ID |
Grant title |
| No funding support
|
|
|
|
|
|
| Submitter |
Hongyu
He (he.hongyu@zs-hospital.sh.cn)
|
| Organization |
Zhongshan Hospital, Fudan University |
| Submission date |
2022-07-27 |
