Study of Risk Factors and Prediction of Blood Clots After Lung Cancer Surgery
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorThe First Hospital of Jilin University
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.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Age ≥ 18 years
Patients undergoing surgical resection for lung cancer
Postoperative hospital stay ≥ 48 hours
Availability of perioperative clinical, laboratory, and imaging data
Disqualifiers
Pre-existing deep vein thrombosis (DVT) or pulmonary embolism (PE) before surgery
Preoperative or ongoing anticoagulation therapy for ≥ 2 weeks
Severe coagulation disorders or bleeding diseases
Severe hepatic, renal, or hematologic dysfunction, or uncontrolled systemic infection
Trial population
The study population consists of adult patients undergoing surgical resection for lung cancer at the Department of Thoracic Surgery, First Hospital of Jilin University. Participants will be prospectively followed for 30 days postoperatively to assess the occurrence of deep vein thrombosis (DVT) and to identify perioperative risk factors. All patients meeting inclusion criteria and without exclusion criteria will be eligible.
Trial design
Design model
Cohort
Time perspective
Prospective
Treatments tested in this trial
Prospective Perioperative Data Collection
Other interventionThe 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.
Treatment groups
900 Participants
are divided into 2 treatment groupsGroup A: VTE Group1 intervention
Group B: Non-VTE Group1 intervention
Trial outcomes
Primary outcomes
1
Incidence of postoperative deep vein thrombosis (DVT) in lung cancer surgery patients
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.
Time frame
From the day of lung cancer surgery to 30 days postoperativelySecondary outcomes
1
Identification of perioperative risk factors for postoperative deep vein thrombosis (DVT) in lung cancer surgery patients
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.
Time frame
From the day of surgery to 30 days postoperativelySponsors and contacts
Click on the lead sponsor to view all of their trials.
Source ClinicalTrials.gov