Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
50000 participants
OBSERVATIONAL
2017-05-31
2022-05-31
Brief Summary
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Detailed Description
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The primary purpose of the study is to develop a computer algorithm that can detect whether the patient is a difficult airway based on photographs from six different aspects.
Methods:
This study is divided into two parts. In the first part, we collected the patients' airway assessment score who underwent general anesthesia with endotracheal intubation assessed by an experienced attending anesthesiologists before and after intubation. Evaluation of airway score after tracheal intubation as the gold standard for airway assessment. Digital photographs of the face of each patient in frontal neutral view and in profile neutrals were obtained. Details of the photographs, each corresponding to a facial motion: (1) Frontal, neutral. (2) Frontal, mouth open. (3)Frontal, extreme mouth open and tongue out. (4)Frontal, extreme upper lip bite (5)Profile, neutral. (6) Profile, neutral, maximum head back. The patient's photographs and the airway evaluation score after intubation were input to the computer to train the computer. In the second part, the trained computer was used to evaluate the airway score of the new patient compared with that of the patient after intubation, and calculated the sensitivity.
Conditions
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Study Design
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OTHER
PROSPECTIVE
Study Groups
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general anesthesia
Digital photographs of the face of each patient undergoing general anesthesia with endotracheal intubation
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
18 Years
ALL
No
Sponsors
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Zhejiang University
OTHER
Second Affiliated Hospital, School of Medicine, Zhejiang University
OTHER
Responsible Party
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Other Identifiers
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2016-076
Identifier Type: -
Identifier Source: org_study_id
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