Unique ID issued by UMIN | UMIN000047793 |
---|---|
Receipt number | R000054491 |
Scientific Title | Assessments of respiration with non-contact vital sign monitor in mechanically ventilated patients in intensive care unit: A prospective exploratory observational study |
Date of disclosure of the study information | 2022/05/18 |
Last modified on | 2023/09/18 16:53:01 |
Assessments of respiration with non-contact vital sign monitor in mechanically ventilated patients in intensive care unit: A prospective exploratory observational study
non-contact respiratory monitor in ICU patients
Assessments of respiration with non-contact vital sign monitor in mechanically ventilated patients in intensive care unit: A prospective exploratory observational study
non-contact respiratory monitor in ICU patients
Japan |
mechanically ventilated patients in intensive care unit
Anesthesiology | Emergency medicine | Intensive care medicine |
Others
NO
To assess whether respiratory-related tidal weight change and frequency caused by shifts of the abdominal visceral organs along the long axis of the bed load cells under the bed legs during respiration reflect mechanical ventilation
Efficacy
respiratory-related tidal weight change measured by load cells under the bed legs
respiratory-related tidal weight change frequency measured by load cells under the bed legs, tidal volume, respiratory rate
Observational
20 | years-old | <= |
Not applicable |
Male and Female
Adult patients receiving mechanical ventilation under tracheal intubation in ICU
1. Patients rested on a bed which the load cells are unable to be placed.
15
1st name | AZUSA |
Middle name | |
Last name | INADA |
Chiba Emergency Medical Center
Anesthesia
261-0012
3-32-1 Isobe Mihama-ku, Chiba city, Chiba, Japan
047-355-2101
tasuica@gmail.com
1st name | AZUSA |
Middle name | |
Last name | INADA |
Chiba Emergency Medical Center
Anesthesia
261-0012
3-32-1 Isobe Mihama-ku, Chiba city, Chiba, Japan
047-355-2101
tasuica@gmail.com
Chiba Emergency Medical Center
Chiba Emergency Medical Center
Other
Japan
Department of Anesthesiology, Graduate school of Medicine, Chiba University
MinebeaMitsumi Inc..
Chiba Emergency Medical Center
3-32-1 Isobe Mihama-ku, Chiba city, Chiba, Japan
043-279-2211
tasuica@gmail.com
NO
千葉県救急医療センター(千葉県)
2022 | Year | 05 | Month | 18 | Day |
Published
14
Main results already published
2022 | Year | 05 | Month | 02 | Day |
2022 | Year | 05 | Month | 13 | Day |
2022 | Year | 05 | Month | 19 | Day |
2022 | Year | 11 | Month | 30 | Day |
2022 | Year | 11 | Month | 30 | Day |
2022 | Year | 11 | Month | 30 | Day |
We previously reported that four load cells placed under the bed legs successfully captured a centroid shift during spontaneous respiration in human subjects lying on a bed without contact and constraint (J Appl Physiol 2019).
In this observational study, we aimed to test whether respiratory-related tidal weight changes (primary variable) and frequency (secondary variable) measured by the load cells placed under the bed-legs in patients treated with mechanical ventilation accurately reflect tidal volume and respiratory frequency, respectively, measured by the respiratory flow meter with a built-in ventilator.
For 15 patients with mechanical ventilation, four load cell sensors are installed under the bed legs for measurements of vital signs obtained by the load cell signals. Four load cell sensors are non-contact, non-invasive, and electrically safe for the patients. Except for the installation of the sensors, patients will be treated routinely in our hospital without any restrictions and invasive interventions in this study.
For patients in the intensive care unit who require mechanical ventilation management, after obtaining the consent of the patient's family, a bed sensor will be installed and non-contact respiratory status measurement will be started.
After installation, carry out continuous measurement for 48 hours or more including the time of 14:00. Data of respiratory status measured in the ventilator, such as ventilator settings and tidal volume at the same time as measured by the bed sensor, is extracted from the respiratory patient monitoring system. We will compare and examine the data of respiratory status measured by the bed sensor system and the ventilator.
2022 | Year | 05 | Month | 18 | Day |
2023 | Year | 09 | Month | 18 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000054491