UMIN ID: UMIN000054629
Registered date:13/06/2024
Predicting the appropriate cuff volume for endotracheal tubes using machine learning
Basic Information
Recruitment status | Pending |
---|---|
Health condition(s) or Problem(s) studied | Patients who undergo surgery under general anesthesia with tracheal intubation |
Date of first enrollment | 2024/06/12 |
Target sample size | 250 |
Countries of recruitment | Japan |
Study type | Interventional |
Intervention(s) | use of endotracheal tubes during tracheal intubation procedure |
Outcome(s)
Primary Outcome | mean squared error |
---|---|
Secondary Outcome |
Key inclusion & exclusion criteria
Age minimum | 20years-old |
---|---|
Age maximum | Not applicable |
Gender | Male and Female |
Include criteria | |
Exclude criteria | Patients with pharyngeal pathology, at risk of pulmonary aspiration of gastric contents, or predicted difficult mask ventilation |
Related Information
Primary Sponsor | Kitakyushu General Hospital |
---|---|
Secondary Sponsor | |
Source(s) of Monetary Support | Kitakyushu General Hospital |
Secondary ID(s) |
Contact
public contact | |
Name | Yuji Soeda |
Address | 1-1 Higashijono-machi, Kokurakita-ku, Kitakyushu Japan 802-8517 |
Telephone | 093-921-0560 |
soecchi_y@yahoo.co.jp | |
Affiliation | Kitakyushu General Hospital Department of Anesthesia |
scientific contact | |
Name | Yuji Soeda |
Address | 1-1 Higashijono-machi, Kokurakita-ku, Kitakyushu Japan |
Telephone | 093-921-0560 |
soecchi_y@yahoo.co.jp | |
Affiliation | Kitakyushu General Hospital Department of Anesthesia |