| Unique ID issued by UMIN | UMIN000055397 |
|---|---|
| Receipt number | R000063295 |
| Scientific Title | Titration of optimal PEEP using EIT during postoperative mechanical ventilation for patients undergoing minimally invasive cardiac surgery requiring intraoperative one lung ventilation. |
| Date of disclosure of the study information | 2024/09/02 |
| Last modified on | 2024/09/10 15:49:46 |
Titration of optimal PEEP using EIT during postoperative mechanical ventilation for patients undergoing minimally invasive cardiac surgery requiring intraoperative one lung ventilation.
Titration of optimal PEEP using EIT during postoperative mechanical ventilation for patients undergoing MICS.
Titration of optimal PEEP using EIT during postoperative mechanical ventilation for patients undergoing minimally invasive cardiac surgery requiring intraoperative one lung ventilation.
Titration of optimal PEEP using EIT during postoperative mechanical ventilation for patients undergoing MICS.
| Japan |
Patients after minimally invasive cardiac surgery requiring intraoperative one lung ventilation.
| Intensive care medicine |
Others
NO
In post-operative patients undergoing thoracic surgery, including cardiac surgery, patients with lung injuries have been reported to have longer ICU lengths of stay and increased in-hospital mortality. Previous observational studies have shown that in post-cardiac surgery patients who already discharged from ICU, more than 40% of re-admissions to the indexed ICU were due to respiratory complications, and above all, 23% of cases were post-operative respiratory failure. Risk factors for the development of ARDS after cardiac surgery include emergency surgery, simultaneous coronary and valve surgery, and administration of more than three units of red blood cell transfusion, but none have been established, nor methods to prevent the development of ARDS after surgery.
How to set optimal PEEP in ventilatory management after cardiac surgery has not yet decided. Until now, searching the best oxygenation or the highest lung compliance, and monitoring pressure-volume curve (PV curve) on the ventilator or esophageal pressure have been tried, mainly in patients with ARDS. However, these methods were unable to assess the heterogeneity of the ventilated lungs.
It has been reported that EIT can be used to set optimal PEEP for ventilatory management of patients with ARDS. Similarly, studies have been reported on setting optimal PEEP using EIT in post-operative patients undergoing cardiac surgery, but the included patients were post-operative patients with a median sternotomy only, and no studies have explored the appropriate PEEP levels for ventilatory management in patients after MICS requiring intraoperative one-lung ventilation.
In this study, patients who receive ventilatory management in the ICU after MICS requiring intraoperative one-lung ventilation will be evaluated using EIT to assess ventilation inhomogeneity during mechanical ventilation and to search for the optimal PEEP for each individual that optimizes ventilation distribution and lung compliance.
Efficacy
PEEP level that maximize the lung compliance in the operation side.
Interventional
Single arm
Non-randomized
Open -no one is blinded
Uncontrolled
1
Treatment
| Maneuver |
When the eligible patient is admitted to the ICU, an EIT is applied. After measuring the ventilation distribution at the time of admission, alveolar recruitment is performed and the PEEP is set according to the ventilation distribution obtained with the EIT and other indicators.
| 18 | years-old | <= |
| Not applicable |
Male and Female
1) Patients admitted to the ICU after MICS requiring intraoperative one-lung ventilation and ventilatory management.
2) Patients who have given their consent to participate in the study.
1) Patients under 18 years of age.
2) Patients who underwent emergency operation.
3) Patients with circulatory instability.
4) Patients with ECMO or/and P-VAD.
5) Patients with active cardiac pacemaker.
6) Patients with severe thoracic deformity.
7) Patients with pneumothorax.
8) Patients with a history of severe chronic obstructive pulmonary disease.
9) Patients who did not consent to participate in the study.
30
| 1st name | Toshio |
| Middle name | |
| Last name | Uchihkura |
Yokosuka general hospital Uwamachi
Department of intensive care
2388567
2-36 Uwamachi, Yokosuka, Kanagawa 238-8567, Japan.
+81-46-823-2630
toshio.uchikura@nifty.com
| 1st name | Toshio |
| Middle name | |
| Last name | Uchikura |
Yokosuka general hospital Uwamachi
Department of intensive care
2388567
2-36 Uwamachi, Yokosuka, Kanagawa 238-8567, Japan.
+81-46-823-2630
toshio.uchikura@nifty.com
Yokosuka general hospital Uwamachi
none
Self funding
Ethical review board Yokosuka general hospital Uwamachi
2-36 Uwamachi, Yokosuka, Kanagawa 238-8567, Japan.
+81-46-823-2630
chihoso@jadecom.jp
NO
| 2024 | Year | 09 | Month | 02 | Day |
Unpublished
Open public recruiting
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| 2024 | Year | 08 | Month | 09 | Day |
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| 2027 | Year | 03 | Month | 31 | Day |
| 2024 | Year | 09 | Month | 02 | Day |
| 2024 | Year | 09 | Month | 10 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000063295