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

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.

Study Overview

• Status: Recruiting
• Conditions: Venous Thromboembolism (VTE); Deep Vein Thrombosis (DVT); Lung Cancer (Diagnosis)
• Intervention / Treatment: Other: Prospective Perioperative Data Collection

• Study Type: Observational
• Enrollment (Estimated): 900

Contacts and Locations

• Study Contact: Name: Wei Liu; Phone Number: 86-13596083366; Email: l_w01@jlu.edu.cn

Study Locations

• China
  • Jilin
    • Changchun, Jilin, China, 130021
      • Recruiting
      • The First Hospital of Jilin University, Department of Thoracic Surgery
      • Contact: Wei Liu; Phone Number: 86-13596083366; Email: l_w01@jlu.edu.cn

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: Adult; Older Adult
• Accepts Healthy Volunteers: No

• Sampling Method: Non-Probability Sample

Study 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.

Description

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

Study Plan

How is the study designed?

Number of groups / cohorts

2

Cohorts and Interventions

Group / Cohort	Intervention / Treatment
VTE Group; Adult patients undergoing lung cancer surgery who develop postoperative deep vein thrombosis (DVT) within 30 days. Perioperative clinical, laboratory, and imaging data will be collected to identify risk factors and build predictive models.	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.
Non-VTE Group; Adult patients undergoing lung cancer surgery who do not develop postoperative DVT within 30 days. Perioperative clinical, laboratory, and imaging data will be collected for comparison with the VTE group.	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.

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
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.	From the day of lung cancer surgery to 30 days postoperatively

Secondary Outcome Measures

Outcome Measure	Measure Description	Time Frame
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.	From the day of surgery to 30 days postoperatively

Collaborators and Investigators

• Sponsor: The First Hospital of Jilin University

Study record dates

Study Major Dates

• Study Start (Actual): November 1, 2024
• Primary Completion (Estimated): November 1, 2029
• Study Completion (Estimated): November 30, 2029

Study Registration Dates

• First Submitted: February 23, 2026
• First Submitted That Met QC Criteria: February 23, 2026
• First Posted (Actual): February 27, 2026

Study Record Updates

• Last Update Posted (Actual): February 27, 2026
• Last Update Submitted That Met QC Criteria: February 23, 2026
• Last Verified: November 1, 2025

More Information

Terms related to this study

• Additional Relevant MeSH Terms: Vascular Diseases; Cardiovascular Diseases; Pathologic Processes; Neoplasms by Site; Neoplasms; Respiratory Tract Diseases; Lung Diseases; Respiratory Tract Neoplasms; Thoracic Neoplasms; Embolism and Thrombosis; Thromboembolism; Thrombosis; Pathological Conditions, Signs and Symptoms; Lung Neoplasms; Venous Thrombosis; Disease; Venous Thromboembolism
• Other Study ID Numbers: JLUThorSurg-VTE02

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: NO

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No