Prediction of Adverse Outcome of Acute Pulmonary Embolism by Artificial Intelligence System Based on CT Pulmonary Angiography
概览
- 阶段
- 不适用
- 干预措施
- 未指定
- 疾病 / 适应症
- Pulmonary Embolism and Thrombosis
- 发起方
- Shengjing Hospital
- 入组人数
- 2000
- 试验地点
- 1
- 主要终点
- Incidence of Treatment-Emergent Adverse Events
- 状态
- 招募中
- 最后更新
- 上个月
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.
研究者
入排标准
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)