Unique ID issued by UMIN | UMIN000038989 |
---|---|
Receipt number | R000044457 |
Scientific Title | Ventilation setting to minimize physiological dead space with volumetric capnography |
Date of disclosure of the study information | 2020/01/10 |
Last modified on | 2021/12/27 12:59:31 |
Ventilation setting to minimize physiological dead space with volumetric capnography
Ventilation setting to minimize physiological dead space with volumetric capnography
Ventilation setting to minimize physiological dead space with volumetric capnography
Ventilation setting to minimize physiological dead space with volumetric capnography
Japan |
Anaesthesia undergoing robot-assisted laparoscopic radical prostatectomy
Anesthesiology |
Others
NO
To minimize physiological dead space using volumetric capnography,in which shunt dead space and alveolar dead space would indicate moderate I:E ratio.
Efficacy
Exploratory
Explanatory
Not applicable
physiological dead space during ventilation
Airway, Alveolar, shunt dead space, and functional residual capacity, Total PEEP, Auto PEEP during ventilation
Interventional
Cross-over
Non-randomized
Single blind -participants are blinded
Dose comparison
NO
NO
NO
No need to know
4
Treatment
Device,equipment | Maneuver |
Using respiratory ventilation (Engstrom Caredtation, GE Healthcare), interventions start after Trendelenburg position and pneumoperitoneum were established. Using PC-VG mode, the target volume is set to 6 -8 ml/kg of ideal body weight. Respiratory rate is set to 12 bpm.
Setting 1; I:Eratio of 1:2, PEEP of 5 cmH2O.
Setting 2; I:E ratio of 2:1, PEEP of 0 cmH2O
Setting 3; I:E ratio of 3:1, PEEP of 0 cmH2O
Setting 4; I:E ratio of 4:1, PEEP of 0 cmH2O
40 | years-old | <= |
75 | years-old | >= |
Male
ASA PS 1 to 2 scheduled for robot-assisted laparoscopic radical prostatectomy were considered eligible.
FVC % predicted < 100%
The exclusion criteria were as follows; ASA physical status 3 to 5, a history of COPD, pneumothorax and previous lung surgery.
20
1st name | Go |
Middle name | |
Last name | Hirabayashi |
Mizonokuchi Hospital, Teikyo University School of Medicine
Anesthesiology
213-8507
5-1-1 Futako Takatsu-ku kKawasaki Kanagawa
044-844-3333
goh@med.teikyo-u.ac.jp
1st name | Go |
Middle name | |
Last name | Hirabayashi |
5-1-1 Futako Takatsu-ku kKawasaki Kanagawa
Anesthesiology
213-8507
5-1-1 Futako Takatsu-ku kKawasaki Kanagawa
044-844-3333
goh@med.teikyo-u.ac.jp
Teikyo University
School of Medicine
Mizonokuchi Hospital
Mizonokuchi Hospital, Teikyo University School of Medicine
Other
Teikyo University School of Medicine
2-11-1 Kaga Itabashi Tokyo
03-3964-9358
turb-office@teikyo-u.ac.jp
NO
帝京大学医学部附属溝口病院(神奈川県)
2020 | Year | 01 | Month | 10 | Day |
Unpublished
Completed
2019 | Year | 06 | Month | 06 | Day |
2019 | Year | 04 | Month | 15 | Day |
2019 | Year | 06 | Month | 15 | Day |
2020 | Year | 07 | Month | 30 | Day |
2020 | Year | 08 | Month | 31 | Day |
2020 | Year | 09 | Month | 30 | Day |
2021 | Year | 08 | Month | 31 | Day |
2019 | Year | 12 | Month | 25 | Day |
2021 | Year | 12 | Month | 27 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000044457
Research Plan | |
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Registered date | File name |
2021/07/16 | 2020年度研究計画書.docx |
Research case data specifications | |
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Registered date | File name |
2021/07/16 | データ仕様書.xlsx |
Research case data | |
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Registered date | File name |
2021/07/16 | 解析データ.xlsx |
Value
https://center6.umin.ac.jp/ice/44457