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临床试验/NCT06491459
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

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

发起方
Wuhan Union Hospital, China
申办方类型
Other
责任方
Sponsor

研究点 (1)

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