Skip to main content
TrialFinder
TrialFinder is for informational purposes only and does not provide medical advice. Always talk to your doctor about whether a trial is right for you.
RECRUITINGOBSERVATIONAL

Study of Risk Factors and Prediction of Blood Clots After Lung Cancer Surgery

Prospective Cohort Study on Risk Factors and Machine Learning-Based Prediction of Postoperative Venous Thromboembolism in Patients Undergoing Lung Cancer Surgery

Important: This information is not medical advice. Talk to your doctor about whether a clinical trial is right for you.

About This Trial

The goal of this observational study is to learn about the risk factors and prediction of postoperative venous thromboembolism (VTE) in patients undergoing lung cancer surgery. The main question it aims to answer is: Which clinical, surgical, and laboratory factors are associated with the development of postoperative deep vein thrombosis (DVT) in lung cancer surgery patients, and can machine learning models accurately predict individual risk? Participants undergoing lung cancer surgery will be prospectively followed for 30 days after surgery. Perioperative clinical data, laboratory results, and imaging findings will be collected to identify VTE risk factors and to develop a predictive model.

Who May Be Eligible (Plain English)

Who May Qualify: 1. Age ≥ 18 years 2. Patients undergoing surgical resection for lung cancer 3. Postoperative hospital stay ≥ 48 hours 4. Availability of perioperative clinical, laboratory, and imaging data 5. Willingness to provide willing to sign a consent form and participate in 30-day follow-up Who Should NOT Join This Trial: 1. Pre-existing deep vein thrombosis (DVT) or pulmonary embolism (PE) before surgery 2. Preoperative or ongoing anticoagulation therapy for ≥ 2 weeks 3. Severe coagulation disorders or bleeding diseases 4. Severe hepatic, renal, or hematologic dysfunction, or uncontrolled systemic infection 5. Concurrent major organ surgery (e.g., cardiac, liver surgery) 6. Pregnancy or lactation 7. Incomplete postoperative follow-up data Always talk to your doctor about whether this trial is right for you.

Original Eligibility Criteria

View original clinical language
Inclusion Criteria: 1. Age ≥ 18 years 2. Patients undergoing surgical resection for lung cancer 3. Postoperative hospital stay ≥ 48 hours 4. Availability of perioperative clinical, laboratory, and imaging data 5. Willingness to provide informed consent and participate in 30-day follow-up Exclusion Criteria: 1. Pre-existing deep vein thrombosis (DVT) or pulmonary embolism (PE) before surgery 2. Preoperative or ongoing anticoagulation therapy for ≥ 2 weeks 3. Severe coagulation disorders or bleeding diseases 4. Severe hepatic, renal, or hematologic dysfunction, or uncontrolled systemic infection 5. Concurrent major organ surgery (e.g., cardiac, liver surgery) 6. Pregnancy or lactation 7. Incomplete postoperative follow-up data

Treatments Being Tested

OTHER

Prospective Perioperative Data Collection

The intervention involves the prospective collection of perioperative clinical, laboratory, and imaging data from adult patients undergoing lung cancer surgery. No therapeutic or diagnostic procedures beyond standard care are applied. Collected data will be used to identify risk factors for postoperative deep vein thrombosis (DVT) and to develop machine learning-based predictive models.

Locations (1)

The First Hospital of Jilin University, Department of Thoracic Surgery
Changchun, Jilin, China