Predicting adverse outcomes in patients with acute pulmonary embolism using CT scans
Official title: A Predictive Tool for Predicting Adverse Outcomes in Acute Pulmonary Embolism Patients Using Parameters Obtained by Computed Tomographic Pulmonary Angiography.
Run by Shengjing Hospital · NCT05098769 · Data updated 2026-11-12
This study is trying to see if using CT scans and other information can help doctors predict serious problems in patients with acute pulmonary embolism within 30 days of being admitted to the hospital.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 300 (estimated) |
| Sponsor | Shengjing Hospital Academic / other |
| Locations | 1 site (Shenyang, Liaoning) |
| Status | Recruiting |
| Started | January 18, 2021 |
| Main results expected | December 31, 2026 |
| Study ends | December 31, 2026 |
| Registry record updated | March 11, 2026 |
| Trial ID | NCT05098769 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are adults aged 18 years and older diagnosed with acute pulmonary embolism based on CT pulmonary angiography.
✕Probably not a fit
Patients who are pregnant, have received reperfusion treatment before admission, or have incomplete data regarding key clinical parameters will not benefit from this study.
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 collects clinical, laboratory, and CT parameters from patients diagnosed with acute pulmonary embolism upon hospital admission. The aim is to predict adverse outcomes within 30 days post-admission by developing a multivariable logistic regression model. Patients are divided into derivation and validation cohorts to evaluate the model's effectiveness against established risk stratification systems. The study focuses on enhancing predictive capabilities for better patient management.
Why it matters
Potential benefit: If successful, this study could improve the ability to predict adverse outcomes in acute pulmonary embolism patients, leading to better clinical decision-making and patient care.
How similar studies have gone: While predictive modeling in acute pulmonary embolism is an established area, the specific approach of this study may offer novel insights and improvements over existing risk stratification methods.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * age of ≥ 18 years and a PE 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
-
Shenjing Hospital of CHINA MEDICAL UNIVERSITY
Shenyang, Liaoning, China Recruiting
Study contacts
- Study coordinator: Yizhuo Gao
- Email: gaoyizhuo.sy@hotmail.com
- Phone: +86-18940257523
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.