Establishment of a Postoperative Delirium Risk Prediction Model for Elderly Hip Fracture Patients Based on Machine Learning Algorithms
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 901
- 试验地点
- 1
- 主要终点
- Postoperative delirium
研究概览
简要总结
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Control
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 60 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Age ≥ 60 years; diagnosed with hip fracture by X-ray; patients who underwent surgical treatment.
排除标准
- •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.
结局指标
主要结局
Postoperative delirium
时间窗: 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.
次要结局
未报告次要终点