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Updated: Jun 11, 2025

Author Spotlight: Advancing Cancer Associated Thrombosis Research in Rodent Models
Published on: January 5, 2024
Simple, Effective and Validated. VTE CASE Risk Assessment Score for Venous Thromboembolism in Metastatic Germ Cell
Wojciech Michalski1, Anna Macios2, Grażyna Poniatowska1
1Department of Urological Cancer, Maria Skłodowska-Curie National Research Institute of Oncology, Warsaw, Poland.
Background:
Venous thromboembolism (VTE) may jeopardise excellent treatment results of germ cell tumours (GCT). We previously constructed a VTE risk score for GCT patients qualified for first-line chemotherapy (CTH), including vein compression, clinical stage (CS) and haemoglobin concentration.
Aim:
Validating our score in a separate cohort and establishing the cut-off point for the score. Re-assessing the numerical score in the training cohort.
Materials And Methods:
We retrospectively analysed a new cohort of GCT patients staged IS-IIIC. Area under the curve of receiver-operating characteristic (AUC-ROC) was calculated for the developed score, Khorana Risk Score (KRS) and Padua Prediction Score (PPS). AUC-ROC of the integer score was calculated for the training cohort. Cut-off point was established by Youden's and Liu's indices.
Results:
Among 336 eligible patients in the validation cohort, VTE occurred in 41 (12.2%). AUC-ROC for our score, KRS and PPS were 0.818 (95% confidence interval (CI): 0.746-0.891), 0.608 (0.529-0.688) and 0.634 (0.547-0.720), respectively, p < 0.001. The optimal cut-off point for a low/high risk was 6 (≤ 6 vs. ≥ 7). In the training cohort, 369 patients had complete data on vein compression. AUC-ROC for our score, KRS and PPS were 0.819 (95% CI: 0.758-0.879), 0.710 (0.637-0.782) and 0.725 (0.651-0.800), p ≤ 0.001 and 0.015, respectively. Positive and negative predictive values were 30.8% and 96.5%, respectively.
Conclusions:
Our VTE risk score is a handy tool for GCT patients before first-line CTH for metastatic disease. Outperforming KRS and PPS, it has a good discriminatory value, especially for identifying low-risk patients.
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