NIPH Clinical Trials Search

JAPANESE
国立保健医療科学院
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) studiedPatients who undergo surgery under general anesthesia with tracheal intubation
Date of first enrollment2024/06/12
Target sample size250
Countries of recruitmentJapan
Study typeInterventional
Intervention(s)use of endotracheal tubes during tracheal intubation procedure

Outcome(s)

Primary Outcomemean squared error
Secondary Outcome

Key inclusion & exclusion criteria

Age minimum20years-old
Age maximumNot applicable
GenderMale and Female
Include criteria
Exclude criteriaPatients with pharyngeal pathology, at risk of pulmonary aspiration of gastric contents, or predicted difficult mask ventilation

Related Information

Contact

public contact
Name Yuji Soeda
Address 1-1 Higashijono-machi, Kokurakita-ku, Kitakyushu Japan 802-8517
Telephone 093-921-0560
E-mail 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
E-mail soecchi_y@yahoo.co.jp
Affiliation Kitakyushu General Hospital Department of Anesthesia