Deep Vein Thrombosis (DVT), Lung Cancer (Diagnosis), Venous Thromboembolism (VTE)
Conditions
Brief summary
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.
Interventions
OTHERProspective 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.
Sponsors
The First Hospital of Jilin University
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Incidence of postoperative deep vein thrombosis (DVT) in lung cancer surgery patients | From the day of lung cancer surgery to 30 days postoperatively | The primary outcome is the occurrence of postoperative deep vein thrombosis (DVT) within 30 days after lung cancer surgery, confirmed by Doppler ultrasound of the lower extremities. Perioperative clinical, laboratory, and imaging variables will be collected prospectively and analyzed to identify risk factors and develop machine learning-based predictive models for individual DVT risk. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Identification of perioperative risk factors for postoperative deep vein thrombosis (DVT) in lung cancer surgery patients | From the day of surgery to 30 days postoperatively | Secondary outcomes include the evaluation of clinical, surgical, and laboratory variables associated with postoperative DVT within 30 days. Variables such as age, sex, BMI, comorbidities, tumor characteristics, operative details, and perioperative laboratory results will be analyzed using multivariate logistic regression and machine learning models to identify independent predictors of DVT. |
Countries
China
Contacts
CONTACTWei Liu
Outcome results
None listed