NCT06491459已完成不适用
Predicting Postoperative Pulmonary Infection in Elderly Patients Undergoing Major Surgery: a Study Based on Logistic Regression and Machine Learning Models
Wuhan Union Hospital, China1 个研究点 分布在 1 个国家目标入组 9,481 人开始时间: 2024年1月1日最近更新:
适应症
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 9,481
- 试验地点
- 1
- 主要终点
- the incidence of postoperative pulmonary infection during hospitalization
研究概览
简要总结
Although a number of clinical predictive models were developed to predict postoperative pulmonary infection, few predictive models have been used in elderly patients. In this study, the researchers aim to compare different algorithms to predict postoperative pulmonary infection in elderly patients and to assess the risk of postoperative pulmonary infection in elderly patients.
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
- •patients who were mechanically ventilated under major surgery
排除标准
- •preoperative tracheal intubation
- •preoperative pneumonia
- •organ transplantation
- •missing data
结局指标
主要结局
the incidence of postoperative pulmonary infection during hospitalization
时间窗: through study completion, an average of 30 days
the incidence of postoperative pulmonary infection during hospitalization
次要结局
未报告次要终点
研究者
研究点 (1)
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