Study of Risk Factors and Prediction of Blood Clots After Lung Cancer Surgery
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: Prospective Perioperative Data Collection.
- Who it may be relevant to
- Registry conditions: Lung Cancer (Diagnosis), Deep Vein Thrombosis (DVT), Venous Thromboembolism (VTE). Basic parameters: from 18 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- China
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Official title
Prospective Cohort Study on Risk Factors and Machine Learning-Based Prediction of Postoperative Venous Thromboembolism in Patients Undergoing Lung Cancer Surgery
Overview
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
- 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.
Primary outcome measures
- Incidence of postoperative deep vein thrombosis (DVT) in lung cancer surgery patients [Time frame: From the day of lung cancer surgery to 30 days postoperatively]
Secondary outcome measures (1)
- Identification of perioperative risk factors for postoperative deep vein thrombosis (DVT) in lung cancer surgery patients [Time frame: From the day of surgery to 30 days postoperatively]
Eligibility criteria
Inclusion criteria
- Age ≥ 18 years
- Patients undergoing surgical resection for lung cancer
- Postoperative hospital stay ≥ 48 hours
- Availability of perioperative clinical, laboratory, and imaging data
- Willingness to provide informed consent and participate in 30-day follow-up
Exclusion criteria
- 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
- Concurrent major organ surgery (e.g., cardiac, liver surgery)
- Pregnancy or lactation
- Incomplete postoperative follow-up data
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Observational model
- Cohort
Study locations
China · 1 center
- The First Hospital of Jilin University, Department of Thoracic Surgery — Changchun
Identifiers
NCT: NCT07439991 · JLUThorSurg-VTE02