With the Development of Research, New Algorithms and Technologies Have Emerged, One of Which is Machine Learning. Machine Learning Can Extract Key Factors From Vast Amounts of Data, Identify Underlying Patterns, and Predict Future Trends. In Recent Years, Machine Learning Has Been Widely Used in

Completed

• Conditions: Delirium

• Registration Number: NCT07121309
• Lead Sponsor: Second Affiliated Hospital of Soochow University

Brief Summary

The aim of this study is to construct a predictive model for postoperative delirium in elderly patients with hip fractures. The main question it answers is to construct a risk prediction model for hip fractures in the elderly through six machine learning methods, compare which method's model is better, and conduct external validation of the model's stability to provide a reference for the early clinical detection of postoperative delirium in elderly hip fracture patients.

The clinical data of elderly patients with hip fractures have been collected in clinical practice and the model has been constructed.

Detailed Description

Not available

Study Timeline

• Study Start: 2024-10-17
• Primary Completion: 2025-03-03
• Study Completion: 2025-03-03
• Status Verified: 2025-08
• Study First Submitted: 2025-08-06
• Study First Submitted QC: 2025-08-06
• Last Update Submitted: 2025-08-06
• Study First Posted: 2025-08-13
• Last Update Posted: 2025-08-13

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 901

Inclusion Criteria

• Age ≥ 60 years; diagnosed with hip fracture by X-ray; patients who underwent surgical treatment.

Exclusion Criteria

• Patients with other severe diseases (Patients who reach grade IV or higher according to the American Society of Anesthesiologists (ASA) health status classification;Suffer from end-stage diseases;there is multiple organ dysfunction syndrome (MODS) or single organ failure); patients with mental disorders; patients participating in other studies.

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Postoperative delirium	The day after the operation	The Memory and Delirium Assessment Scale (MDAS) was used for delirium risk screening and assessment, including consciousness, attention, speech, behavior, and sleep aspects.

Trial Locations

Locations (1)

SecondSoochowU; 🇨🇳 Suzhou, Jiangsu, China