Different Algorithm Models to Predict Postoperative Pulmonary Complications in Elderly Patients
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 10,000
- 主要终点
- Postoperative pulmonary complications
研究概览
简要总结
Although a number of clinical predictive models were developed to predict postoperative pulmonary complications, few predictive models have been used in elderly patients. In this study, the researchers aim to compare different algorithms to predict postoperative pulmonary complications in elderly patients and to assess the risk of postoperative pulmonary complications in elderly patients.
详细描述
Postoperative pulmonary complications occur frequently, which is an important cause of death and morbidity. Age has been an important predictor of postoperative pulmonary complications. As the world's population ages, more and more older people are undergoing surgery as indications for surgery expand. In order to better assess the risk of postoperative pulmonary complications in elderly patients, we plan to use database information and different algorithms such as logistic regression, random forest, and other algorithms to build models respectively and evaluate the effects of the models.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 65 Years 至 —（Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Age 65 years or older
- •receiving invasive ventilation during general anesthesia for surgery
排除标准
- •preoperative mechanical ventilation
- •procedures related to a previous surgical complication
- •a second operation after surgery
- •organ transplantation
- •discharged within 24 hours after surgery
- •cardiac surgery
结局指标
主要结局
Postoperative pulmonary complications
时间窗: within one week after surgery
次要结局
- Postoperative pulmonary complications(30 days after surgery)