Using AI to predict outcomes of acute pulmonary embolism

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study aims to develop a predictive tool using artificial intelligence to assess adverse outcomes in patients diagnosed with acute pulmonary embolism based on CT pulmonary angiography. It collects clinical, laboratory, and imaging data from patients upon admission and follows them for 30 days to predict potential complications. Patients are divided into derivation and validation cohorts to create and test a multivariable logistic regression model, comparing its effectiveness to existing risk stratification systems.

Why it matters

Who can join: the full rules

Inclusion Criteria:

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

Exclusion Criteria:

* 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.

Where it's running

• Shengjing Hospital
  Shenyang, Liaoning, China Recruiting

Study contacts

• Principal investigator: Dong Jia — Shengjing Hospital
• Study coordinator: Dong Jia
• Email: jiadong0101@126.com
• Phone: +86-18940252800

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.