A Thoracic Surgery-Specific Risk Assessment Model to Prevent Perioperative Venous Thromboembolism.

Area of Science:

• Thoracic Surgery
• Surgical Oncology
• Vascular Surgery

Background:

• Venous thromboembolism (VTE) is a significant postoperative complication in lung cancer surgery.
• Existing risk assessment models, like Caprini, are complex for this patient population.
• There is a need for a simplified model to guide anticoagulation decisions in thoracic surgery.

Purpose of the Study:

• To develop a simplified risk assessment model for VTE in lung cancer resection patients.
• To improve the accuracy and ease of identifying patients who would benefit from extended chemoprophylaxis.
• To guide anticoagulation decision-making in the preoperative period for thoracic surgical patients.

Main Methods:

• Retrospective analysis of 225 lung cancer resection patients with 60-day follow-up.
• Exclusion of patients on long-term anticoagulation, with IVC filters, or missing data.
• Logistic regression with stepwise inclusion of 12 risk factors to model VTE incidence.

Main Results:

• A 5-variable model demonstrated VTE predictive ability comparable to the Caprini model (P = .29).
• The model identified key risk factors: sex, age, VTE history, surgical approach, and procedure duration.
• A composite score yielded 56% sensitivity and 77% specificity for VTE risk stratification.

Conclusions:

• A simplified 5-data-point model accurately predicts postoperative VTE risk in lung cancer patients.
• This model allows for early identification of high-risk surgical patients.
• Extended postoperative prophylaxis can be effectively targeted to identified high-risk individuals.