Related Experiment Video
Updated: Jun 11, 2026

Venous Thrombosis Assay in a Mouse Model of Cancer
Published on: January 5, 2024
Risk Factors, Biomarkers, and Risk Assessment Models for Prediction of Venous Thromboembolism in Ambulatory Patients
Leyla Ay1, Florian Moik2, Thorsten Füreder3
1Vienna Healthcare Group, Karl Landsteiner Institute of Lung Research and Pulmonary Oncology, Department of Respiratory and Critical Care Medicine, Klinik Floridsdorf, Austria, Vienna.
Summary:
BACKGROUND: Patients with lung cancer are at high risk of developing venous thromboembolism (VTE). Although several risk assessment models (RAMs) for cancer-associated VTE exist, their performance in advanced lung cancer is uncertain. This study investigated VTE incidence and risk prediction in patients with advanced lung cancer.
Summary:
METHODS: In a subinvestigation of the Vienna Cancer and Thrombosis Study (CATS), a prospective cohort study investigating risk factors for cancer-associated VTE, data from patients with advanced lung cancer initiating chemotherapy were analyzed.
Summary:
RESULTS: Of 277 patients (median age 61 years [IQR 56-67], 37% female; 89% received palliative treatment), 25 developed VTE during the 2-year observation period; with 24 events occurring in the first year. The cumulative VTE incidence was 6.6% (95% confidence interval [CI] 4.0-10.0), 9.3% (6.2-12.3), and 9.8% (6.5-13.8) at 6, 12, and 24 months, respectively. While several RAM (Khorana score, CONKO, PROTECHT, m-LCPI, HYPERCAN model) did not predict risk of VTE in our cohort, the CATScore identified patients at high risk of VTE (subdistribution hazard ratio [SHR, 95% CI] for CATScore ≥8% risk vs. <8% risk: 3.43 [1.11-10.55], p = 0.032). Laboratory parameters associated with risk of VTE included higher D-dimer, higher CRP, and lower platelet counts. Based on these biomarkers, we exploratively derived a simplified biomarker-based risk model.
Summary:
CONCLUSIONS: In this cohort of patients with advanced lung cancer, most established RAM showed limited discriminative ability. The CATScore and a newly derived biomarker-based model demonstrated signals of risk stratification. These findings require confirmation in larger independent cohorts.
Related Concept Videos
Venous Thrombosis III: Interprofessional Care
Venous Thrombosis II: Clinical Manifestations and Diagnostic Studies
Venous Thrombosis IV: Nursing Management
Pulmonary Embolism I: Introduction
Pulmonary Embolism I: Introduction
Venous Thrombosis I: Introduction