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

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.

Study Overview

• Status: Recruiting
• Conditions: Head and Neck Cancer

• Study Type: Observational
• Enrollment (Estimated): 700

Contacts and Locations

Study Locations

• China
  • Guangdong
    • Guangzhou, Guangdong, China, 52100
      • Recruiting
      • Sun Yat-sen Memorial Hospital, Sun Yat-sen University
      • Contact: Zhengfei Yang; Phone Number: 13632370949; Email: yangzhengfei@vip.163.com

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: Adult; Older Adult
• Accepts Healthy Volunteers: No

• Sampling Method: Probability Sample

Study Population

Head and neck tumor postoperative patient transferred to icu

Description

Inclusion Criteria:

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

Exclusion Criteria:

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

Study Plan

How is the study designed?

Number of groups / cohorts

3

Cohorts and Interventions

Group / Cohort
training group; For training models
test group; Used to validate the model
Prospective cohort; For the prospective validation of the model

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
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

Collaborators and Investigators

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

Study record dates

Study Major Dates

• Study Start (Actual): March 1, 2024
• Primary Completion (Actual): March 1, 2024
• Study Completion (Estimated): April 1, 2025

Study Registration Dates

• First Submitted: July 23, 2024
• First Submitted That Met QC Criteria: August 22, 2024
• First Posted (Actual): August 26, 2024

Study Record Updates

• Last Update Posted (Actual): August 26, 2024
• Last Update Submitted That Met QC Criteria: August 22, 2024
• Last Verified: August 1, 2024

More Information

Terms related to this study

• Additional Relevant MeSH Terms: Neoplasms; Neoplasms by Site; Head and Neck Neoplasms
• Other Study ID Numbers: SYSKY-2024-403-01

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: NO
• IPD Plan Description: If others need it, they can apply to us for the data, and we will provide it.

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No