Contrast Between Traditional Regression Model and AI in Predicting Prolonged Stay Stay After Head and Neck Tumors

NCT06570486 | Recruiting DMC

• 1 other identifier: SYSKY-2024-403-01
• Study Type: observational
• Target: 700
• Locations: 1 country
• Sites: 1

Brief Summary

This experiment is an observational study of cohort. By establishing a cohort of patients with head and neck tumors transferred to ICU after surgery, investigators compared the prediction effect of AI and the traditional prediction model on whether patients can be transferred to ICU within 24 hours of head and neck tumors. First retrospective analysis of patients after head and neck tumor surgery, medical records were collected, the test results are divided into training group and validation group according to 7:3, divided into 2 groups according to the patient ICU stay time is greater than 24 hours, the prediction model after the ICU duration of head and neck tumor surgery after more than 24 hours. At the same time, clean the data, train the AI with the data, and compare the effectiveness of both sides with the ROC. After the establishment of prediction model and AI training, the patients included in the cohort were evaluated by prediction model and AI immediately after being transferred to the ICU, predicting the possibility of transferring out of the ICU within 24 hours.

Conditions

Head and Neck Cancer

Outcome Measures

Primary Outcomes (1)

• roll-out icu

  The time of patient transfer from ICU to the general ward was set as transfer out

  From the date of ICU admission until the date of ICU discharge or death, whichever occurs first, assessed up to 30 days

Study Arms (3)

training group

For training models

test group

Used to validate the model

Prospective cohort

For the prospective validation of the model

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Probability Sample

Study Population

Head and neck tumor postoperative patient transferred to icu

You may qualify if:

• Patients after head and neck tumors;
• older than 18 years.

You may not qualify if:

• Patients transferred to ICU twice after head and neck tumors;
• Patients with unplanned transfer to the ICU.

Sponsors & Collaborators

• Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University: lead

Study Sites (1)

Sun Yat-sen Memorial Hospital, Sun Yat-sen University

Guangzhou, Guangdong, 52100, China

RECRUITING

MeSH Terms

Conditions

Head and Neck Neoplasms

Condition Hierarchy (Ancestors)

Neoplasms by Site; Neoplasms

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: CROSS SECTIONAL
• Target Duration: 1 Year
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: July 23, 2024
• First Posted: August 26, 2024
• Study Start: March 1, 2024
• Primary Completion: March 1, 2024
• Study Completion: April 1, 2025
• Last Updated: August 26, 2024

Record last verified: 2024-08

Data Sharing

• IPD Sharing: Will not share

Locations

CN (1)