CATS Score

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The Vienna Cancer and Thrombosis Study [CATS] Score

Introduction

The CATS Score is based on the Khorana Score but utilises two additional biomarkers: D-dimer and soluble P-selectin to improve its accuracy.
a. D-dimer is part of the algorithm for a number of risk assessment scores that aid both with the diagnosis of VTED and in the prediction of the risk of VTE recurrence, primarily in non-cancer patients.

b. Soluble P-selectin is a marker of platelet activation and elevated soluble P-selectin has been shown to be highly predictive of VTE when combined with a high clinical probability score.

The CATS Score:

The CATS Score is summarised below:

Score

[Max Score 8 Points]

Interpretation
Score	VTE Rate
0 Points	1%
1 Point	4.4%
2 Points	3.5%
3 Points	10.3%
4 Points	20.3%
≥ 5 Points	35%

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Comments

NOTE: Whilst we have done our utmost to ensure the accuracy of the data in this section, users should access the original publications.

All information contained in this section of Practical-Haemostasis.com is provided for educational purposes only. This information should not be used for the diagnosis or treatment of any health problem or disease.

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LINKS & References

1. Khorana AA, Kuderer NM, et al. Development and validation of a predictive model for chemotherapy-associated thrombosis. Blood. 2008; 111: 4902-7.

2. Ay C, Dunkler D, et al. Prediction of venous thromboembolism in cancer patients. Blood. 2010; 116: 5377-82.

3. Angelini D and Khorana AA. Risk Assessment Scores for Cancer-Associated Venous Thromboembolic Disease. Semin Thromb Hemost. 2017; 43: 469-78.

4. Riondino S, Ferroni P, et al. Predicting VTE in Cancer Patients: Candidate Biomarkers and Risk Assessment Models. Cancers (Basel). 2019; 11.

5. Gervaso L, Dave H, Khorana AA. Venous and Arterial Thromboembolism in Patients With Cancer: JACC: CardioOncology State-of-the-Art Review. JACC CardioOncol. 2021;3(2):173-90.

6. Khorana AA, Cohen AT, Carrier M, et al. Prevention of venous thromboembolism in ambulatory patients with cancer. ESMO. 2020;5(6):e000948.

7. Candeloro M, Guman NAM, Kraaijpoel N, et al. Risk Assessment Models for Thrombosis and Anticoagulant-Related Bleeding in Ambulatory Cancer Patients. Semin Thromb Hemost. 2021;47(8):972-81