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临床试验/NCT07445061
NCT07445061已完成不适用

A Machine Learning Model to Predict Mortality in Patients With Acute Respiratory Distress Syndrome After Prone Positioning

Shanghai Zhongshan Hospital1 个研究点 分布在 1 个国家目标入组 358 人开始时间: 2026年3月1日最近更新:
适应症
干预措施

试验速览

阶段
不适用
状态
已完成
发起方
入组人数
358
试验地点
1
主要终点
ICU Mortality

研究概览

简要总结

Acute respiratory distress syndrome (ARDS) is a life-threatening condition with high mortality. Prone position ventilation (PPV) is an evidence-based therapy that improves oxygenation and survival in patients with moderate to severe ARDS; however, outcomes remain heterogeneous. Early identification of patients at high risk of mortality after PPV may improve clinical decision-making and individualized management.

This retrospective observational study developed and validated a machine learning model to predict intensive care unit (ICU) mortality in patients with ARDS receiving prone position ventilation. Clinical, laboratory, and treatment variables obtained from ICU electronic medical records were used to construct prediction models using multiple machine learning algorithms. The performance of these models was evaluated and compared to identify the optimal model for mortality prediction.

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
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者
否

入选标准

  • •Diagnosis of ARDS according to the Berlin definition;
  • •Receipt of at least one session of prone position ventilation (PPV) during hospitalization;
  • •Requirement for mechanical ventilation.

排除标准

  • •Age <18 years;
  • •PPV duration <6 hours;
  • •ICU length of stay <2 days;
  • •Pregnancy;
  • •Receipt of awake prone positioning.
  • •Missing key clinical data.

研究组 & 干预措施

ARDS Patients Receiving Prone Position Ventilation

Adult patients diagnosed with acute respiratory distress syndrome (ARDS) who received prone position ventilation during intensive care unit (ICU) admission. Clinical data were retrospectively obtained from electronic medical records for the development and validation of machine learning models to predict ICU mortality.

干预措施: Prone Position Ventilation (Other)

结局指标

主要结局

ICU Mortality

时间窗: Up to 90 days.

Death from any cause during the intensive care unit (ICU) stay among patients with acute respiratory distress syndrome receiving prone position ventilation.

次要结局

未报告次要终点

研究者

发起方
Shanghai Zhongshan Hospital
申办方类型
Other
责任方
Sponsor

研究点 (1)

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