Predicting adverse outcomes in patients with acute pulmonary embolism using CT scans
A Predictive Tool for Predicting Adverse Outcomes in Acute Pulmonary Embolism Patients Using Parameters Obtained by Computed Tomographic Pulmonary Angiography.
Shengjing Hospital · NCT05098769
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 |
|---|---|
| Enrollment | 300 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Shengjing Hospital (other) |
| Locations | 1 site (Shenyang, Liaoning) |
| Trial ID | NCT05098769 on ClinicalTrials.gov |
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.
Who should consider this trial
Good fit: Ideal candidates are adults aged 18 years and older diagnosed with acute pulmonary embolism based on CT pulmonary angiography.
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.
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 performed: 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.
Eligibility criteria
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 this trial is running
Shenyang, Liaoning
- Shenjing Hospital of CHINA MEDICAL UNIVERSITY — Shenyang, Liaoning, China (RECRUITING)
Study contacts
- Study coordinator: YIZHUO GAO
- Email: gaoyizhuo.sy@hotmail.com
- Phone: +86-18940257523
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions: Pulmonary Embolism and Thrombosis, Deterioration, Clinical