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Clinical Trial Summary

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


Clinical Trial Description

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. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT05482269
Study type Observational
Source Shengjing Hospital
Contact DONG JIA
Phone +86-18940252800
Email jiadong0101@126.com
Status Recruiting
Phase
Start date January 1, 2011
Completion date December 31, 2025

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