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临床试验/NCT05482269
NCT05482269招募中不适用

Prediction of Adverse Outcome of Acute Pulmonary Embolism by Artificial Intelligence System Based on CT Pulmonary Angiography

Shengjing Hospital1 个研究点 分布在 1 个国家目标入组 2,000 人开始时间: 2011年1月1日最近更新:
适应症

试验速览

阶段
不适用
状态
招募中
入组人数
2,000
试验地点
1
主要终点
Incidence of Treatment-Emergent Adverse Events

研究概览

简要总结

The investigators aim to build a predictive tool for Adverse Outcome of Acute Pulmonary Embolism by Artificial Intelligence System Based on CT Pulmonary Angiography.

详细描述

This study collected clinical, laboratory, and CT parameters of acute patients with acute pulmonary embolism from admission to predict adverse outcomes within 30 days after admission into hospital. The investigators aim to build a predictive tool for Adverse Outcome of Acute Pulmonary Embolism by Artificial Intelligence System Based on CT Pulmonary Angiography.

Eligible patients were randomized in some ratio into derivation and validation cohorts. The derivation cohort was used to develop and evaluate a multivariable logistic regression model for predicting the outcomes of interest. The discriminatory power was evaluated by comparing the nomogram to the established risk stratification systems. The consistency of the nomogram was evaluated using the validation cohort.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

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

入选标准

  • age of ≥ 18 years and a pulmonary embolism diagnosis based on CT pulmonary angiography

排除标准

  • pregnancy
  • reception of reperfusion treatment before admission
  • missing data regarding CT parameters, echocardiography, cardiac troponin I (c-Tn I), and N-terminal-pro brain natriuretic peptide (NT-pro BNP) levels.

结局指标

主要结局

Incidence of Treatment-Emergent Adverse Events

时间窗: 30 days

The outcomes of interest were defined as the occurrence of adverse outcomes within 30 days after admission. Adverse outcomes were defined as deaths, the need for mechanical ventilation, the need for cardiopulmonary resuscitation, and the need for life-saving vasopressor and reperfusion treatment.

次要结局

  • Incidence of Treatment-Emergent Adverse Events(2 years)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

YIZHUO GAO

Doctor

Shengjing Hospital

研究点 (1)

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