Skip to main content
OpenTrials
Recruiting

NCT Number: NCT07439991

Study of Risk Factors and Prediction of Blood Clots After 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.

Recruiting

Interested in participating?

Request Info

Key information

Conditions

Lung Cancer (Diagnosis) Cardiovascular Diseases Deep Vein Thrombosis (DVT) Disease Embolism and Thrombosis Lung Diseases Lung Neoplasms Neoplasms Neoplasms by Site Pathologic Processes Pathological Conditions, Signs and Symptoms Respiratory Tract Diseases Respiratory Tract Neoplasms Thoracic Neoplasms Thromboembolism Thrombosis Vascular Diseases Venous Thromboembolism Venous Thromboembolism (VTE) Venous Thrombosis

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

The First Hospital of Jilin University, Department of Thoracic Surgery

Changchun, Jilin, 130021, China

Location status: Recruiting

Location contact

Wei Liu

CONTACT

[email protected]

86-13596083366

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

Prospective Perioperative Data Collection

Other

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 outcomes

  1. 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

    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 outcomes

  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

    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.

Study contacts

Contact information is provided by the study sponsor or research team.

Wei Liu

CONTACT

[email protected]

86-13596083366

Sponsors and collaborators

Lead sponsor

The First Hospital of Jilin University

Other

Registry information

Official study title

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

Important dates

Study start
2024
Primary completion
2029
Study completion
2029
First posted
Feb 27, 2026
Registry last updated
Feb 27, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Related clinical trials

Published trials that share one or more normalized conditions with this study.