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Establishment of a Postoperative Delirium Risk Prediction Model for Elderly Hip Fracture Patients Based on Machine Learning Algorithms

Status

Completed

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT07121309

Acronym

POD

Enrollment

901

Registered

2025-08-13

Start date

2024-10-17

Completion date

2025-03-03

Last updated

2025-08-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Delirium

Keywords

Hip fracture, Prediction model

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.

Interventions

None listed

Study design

Observational model

CASE_CONTROL

Time perspective

RETROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

60 Years to No maximum

Healthy volunteers

Yes

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.

Design outcomes

Primary

Measure	Time frame	Description
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.

Countries

China

Outcome results