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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT04723017
Other study ID # 2011-208-1179
Secondary ID
Status Recruiting
Phase
First received
Last updated
Start date January 21, 2021
Est. completion date December 31, 2021

Study information

Verified date January 2021
Source Seoul National University Hospital
Contact Hee-Soo Kim, professor
Phone +82-2-2072-3664
Email dami0605@snu.ac.kr
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

The primary aim was to develop and validation of perioperative hypoxemia using clinical big data and deep learning technique in pediatric patients


Recruitment information / eligibility

Status Recruiting
Enrollment 17000
Est. completion date December 31, 2021
Est. primary completion date December 31, 2021
Accepts healthy volunteers No
Gender All
Age group N/A to 19 Years
Eligibility Inclusion Criteria: - Pediatric patients undergoing general or spinal anesthesia and monitored anesthesia care Exclusion Criteria: - none

Study Design


Related Conditions & MeSH terms


Intervention

Other:
Retrospective analysis cohort
We analyze pre-existing data base and develop machine-learning-based system that predicts the risk of hypoxemia
Prospective validation cohort
We validate our model to predict the risk of hypoxemia to prospective cohort

Locations

Country Name City State
Korea, Republic of Hee-Soo Kim Seoul Soul-t'ukpyolsi

Sponsors (1)

Lead Sponsor Collaborator
Seoul National University Hospital

Country where clinical trial is conducted

Korea, Republic of, 

Outcome

Type Measure Description Time frame Safety issue
Primary hypoxemia pulse oximetry desaturation below 95% from induction of anesthesia to end of operation, about 3 hours
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