<b>Predictive risk scales for venous thromboembolism in outpatients with solid tumors </b>
Тромбоз, гемостаз и реология

Tromboz, Gemostaz I Reologiya
scientific and practical journal

ISSN 2078–1008 (Print); ISSN 2687-1483 (online)

Keywords

venous thromboembolic events
VTE
cancer-associated thrombosis
solid tumors
prognostic scales
outpatient cancer patients
D-dimer

Abstract

Summary. Introduction. Venous thromboembolic events (VTE) frequently manifest in cancer patients, especially during the early phase following clinical diagnosis. Thrombotic episodes have been demonstrated to be associated with a worsening prognosis, a reduction in quality of life, and significant treatment costs. Although thromboprophylaxis in high-risk cancer patients during hospitalization and in the perioperative period has been incorporated into routine practice and is supported by clinical guidelines, its use in outpatient settings is limited. Mathematical modeling techniques in the development of risk scales have been demonstrated to facilitate decision-making processes concerning thromboprophylaxis. Nevertheless, the evaluation of the VTE likelihood remains challenging. Aim: to summarize current scientific data on VTE risk assessment in outpatient cancer patients with solid tumors using traditional multifactorial prognostic scales. Materials and Methods. The study was based on the collection and analysis of publications from scientific databases PubMed/MEDLINE, Google Scholar, and eLibrary for the period 2005–2025 using keywords in Russian and English. Following the exclusion of duplicates and irrelevant works, 41 publications were included in the final analysis of the 512 sources. The present study focuses on scales with sensitivity, specificity, and AUC (area under curve) assessments. Results. The Khorana risk score scale is recognized as the most validated tool for assessing VTE risk in patients receiving outpatient anticancer therapy, and recommendations for its use are reflected in leading clinical guidelines. Furthermore, the development and validation of scales (COMPASS-CAT, Vienna CATS) enable VTE risk assessment in specific patient demographics. Conclusion. It is imperative to acknowledge that thrombosis prevention constitutes an integral component of comprehensive treatment for cancer patients, thereby enhancing the efficacy of therapeutic interventions and ultimately contributing to the enhancement of disease outcomes. Prognostic scales constitute a pivotal instrument in the context of individualized decisions pertaining to the prescription of anticoagulant thromboprophylaxis. A significant domain of scientific inquiry pertains to the supplementary external validation of risk-oriented models, founded on a synthesis of clinical signs, genetic polymorphisms and laboratory biomarkers in prospective studies. This encompasses the formulation of novel scales using contemporary mathematical methodologies, encompassing artificial intelligence.

For citation: Ovchinnikova M.A., Vlasov V.S., Dyakonenko Z.V., Osipov N.N., Spelnikov D.М., Belevitin A.B., Vavilova T.V. Predictive risk scales for venous thromboembolism in outpatients with solid tumors. Tromboz, gemostaz i reologiya. 2026;(1):4–20. (In Russ.).

References

1.      Metharom P., Falasca M., Berndt M.C. The history of Armand Trousseau and cancer-associated thrombosis. Cancers (Basel). 2019;11(2):158. DOI: 10.3390/cancers11020158.

2.      Abdol Razak N.B., Jones G., Bhandari M. et al. Cancer-associated thrombosis: an overview of mechanisms, risk factors, and treatment. Cancers (Basel). 2018;10(10):380. DOI: 10.3390/cancers10100380.

3.      Mulder F.I., Horváth-Puhó E., van Es N. et al. Venous thromboembolism in cancer patients: a population-based cohort study. Blood. 2021;137(14):1959–69. DOI:10.1182/blood.2020007338.

4.      Sørensen H.T., Pedersen L., van Es N. et al. Impact of venous thromboembolism on the mortality in patients with cancer: a population-based cohort study. Lancet Reg Health Eur. 2023; 34:100739. DOI: 10.1016/j.lanepe.2023.100739.

5.      Khorana A.A., Mc Crae K.R., Milentijevic D. et al. Healthcare resource utilization and costs associated with venous thromboembolism recurrence in patients with cancer. J Med Econ. 2020;23(4):323–9. DOI: 10.1080/13696998.2019.1703190.

6.      Falanga A., Ay C., Di Nisio M. et al. Venous thromboembolism in cancer patients: ESMO Clinical Practice Guideline. Ann Oncol. 2023;34(5):452–67. DOI: 10.1016/j.annonc.2022.12.014.8.

7.      Key N.S., Khorana A.A., Kuderer N.M.et al. Venous thromboembolism prophylaxis and treatment in patients with cancer: ASCO Guideline update. J Clin Oncol. 2023;41(16):3063–71. DOI: 10.1200/ JCO.23.00294. 8.

8.      Lyon A.R., López-Fernández T., Couch L.S. et al. ESC Scientific Document Group. 2022 ESC Guidelines on cardio-oncology developed in collaboration with the European Hematology Association (EHA), the European Society for Therapeutic Radiology and Oncology (ESTRO) and the International Cardio-Oncology Society (ICOS): Developed by the task force on cardio-oncology of the European Society of Cardiology (ESC). Eur Heart J. 2022;43(41):4229– 361. DOI: 10.1093/eurheartj/ehac244.

9.      Middeldorp S., Nieuwlaat R., Kreuziger L.B. et al. American Society of Hematology 2023 guidelines for management of venous thromboembolism: thrombophilia testing. Blood Adv. 2023;7(22):7101– 38. DOI: 10.1182/bloodadvances.2023010177.7.

10.  Somonova O.V., Antukh E.A., Vardanyan A.V. et al. Thromboembolic complications. RUSSCO practical guidelines, part 2. Zlokachestvennye opuholi. 2024;14(3s2):202–15. (In Russ.). DOI: 10.18 027/2224-5057-2024-14-3s2-2-12.

11.  Khorana A. A., Kuderer N. M., Culakova E. et al. Development and validation of a predictive model for chemotherapyassociated thrombosis. Blood. 2008;111(10):4902–7. DOI: 10.1182/ blood-2007-10-116327.

12.  Mulder F.I., Candeloro M., Kamphuisen P.W. et al. CAT-prediction collaborators. The Khorana score for prediction of venous thromboembolism in cancer patients: a systematic review and metaanalysis. Haematologica. 2019;104(6):1277–87. DOI: 10.3324/haematol.2018.209114.

13.  Ramos-Esquivel A., Marenco-Flores A., Hernández-Romero G. et al. Comparison among three predictive models for cancer-associated thromboembolism in a hispanic population. J Thromb Thrombolysis. 2023;56(3):433–8. DOI: 10.1007/s11239-023-02861-3.

14.  El-Sayed H.A., Othman M., Azzam H. et al. Assessing the risk of venous thromboembolism in patients with haematological cancers using three prediction models. J Cancer Res Clin Oncol. 2023;149(20):17771–80. DOI: 10.1007/s00432-023-05475-7.

15.  Ha H., Ko Y.H., Kim K. et al. Application of the Khorana score for cancer-associated thrombosis prediction in patients of East Asian ethnicity undergoing ambulatory chemotherapy. Thromb J. 2023;21(1):63. DOI: 10.1186/s12959-023-00505-3.

16.  Overvad T.F., Ording A.G., Nielsen P.B. et al. Validation of the Khorana score for predicting venous thromboembolism in 40 218 patients with cancer initiating chemotherapy. Blood Adv. 2022;6(10):2967–76. DOI: 10.1182/bloodadvances.2021006484.

17.  West M.T., Smith C.E., Kaempf A.et al. CDK 4/6 inhibitors are associated with a high incidence of thrombotic events in women with breast cancer in real-world practice. Eur J Haematol.2021;106(5):634–42. DOI: 10.1111/ejh.13590.

18.  Dimitrieva O.V., Tarasova L.V., Babokin V.E., Trofimov N.A. Laboratory markers for the risk of pulmonary embolism development in patients with malignant neoplasms. Terapevticheskii аrkhiv. 2023;9(7):102–9. (In Russ.). DOI: 10.18565/therapy.2023.7.102-109.

19.  Verzeroli C., Giaccherini C., Russo L. et al. HYPERCAN Investigators. Utility of the Khorana and the new-Vienna CATS prediction scores in cancer patients of the HYPERCAN cohort. J Thromb Haemost. 2023;21(7):1869–81. DOI: 10.1016/j.jtha.2023.03.037.

20.  Ay C., Dunkler D., Marosi C. et al. Prediction of venous thromboembolism in cancer patients. Blood. 2010;116(24):5377–82. DOI: 10.1182/blood-2010-02-270116.

21.  Ay. C, Simanek R., Vormittag R. et al. High plasma levels of soluble P-selectin are predictive of venous thromboembolism in cancer patients: results from the Vienna Cancer and Thrombosis Study (CATS). Blood. 2008;112(7):2703–8. DOI: 10.1182/ blood-2008-02-142422.

22.  van Es N., Di Nisio M., Cesarman G. et al. Comparison of risk prediction scores for venous thromboembolism in cancer patients: a prospective cohort study. Haematologica. 2017;102(9):1494–501. DOI: 10.3324/haematol.2017.169060.

23.  Harada Y., Sato A., Nishioka A. et al. Usefulness of blood biomarkers for predicting venous thromboembolism in Japanese patients with cancer. Oncol Lett. 2023;25(5):180. DOI: 10.3892/ol.2023.13766.

24.  Verso M., Agnelli G., Barni S. et al. A modified Khorana risk assessment score for venous thromboembolism in cancer patients receiving chemotherapy: the Protecht score. Intern Emerg Med. 2012;7(3):291–2. DOI: 10.1007/s11739-012-0784-y.

25.  Moik F., van Es N., Posch F. et al. Gemcitabine and platinum-based agents for the prediction of cancer-associated venous thromboembolism: results from the Vienna Сancer and Thrombosis Study. Cancers (Basel). 2020;12(9):2493. DOI: 10.3390/cancers12092493.

26.  Di Nisio M., van Es N., Rotunno L. et al. Long-term performance of risk scores for venous thromboembolism in ambulatory cancer patients. J Thromb Thrombolysis. 2019;48(1):125–33. DOI: 10.1007/ s11239-019-01845-6.

27.  Pelzer U., Sinn M., Stieler J. et al. Primary pharmacological prevention of thromboembolic events in ambulatory patients with advanced pancreatic cancer treated with chemotherapy? Dtsch Med Wochenschr. 2013;138(41):2084–8. (In German). DOI: 10.1055/ s-0033-1349608.

28.  Qin L., Liang Z., Xie J. et al. Estimating venous thromboembolism risk in metastatic colorectal cancer inpatients: validation of existing risk scores and development of new risk scores. Clin Appl Thromb Hemost. 2023;29:10760296231196859. DOI: 10.1177/10760296231196859.

29.  Pabinger I., van Es N., Heinze G. et al. A clinical prediction model for cancer-associated venous thromboembolism: a development and validation study in two independent prospective cohorts. Lancet Haematol. 2018;5(7):e289-e298. DOI: 10.1016/ S2352-3026(18)30063-2. Erratum in: Lancet Haematol. 2018;5(8): e332. DOI: 10.1016/S2352-3026(18)30095-4.

30.  Gerotziafas G.T., Taher A., Abdel-Razeq H. et al. COMPASS-CAT Working Group. A predictive score for thrombosis associated with breast, colorectal, lung, or ovarian cancer: the Prospective COMPASS-Cancer-Associated Thrombosis Study. Oncologist. 2017;22(10):1222–31. DOI: 10.1634/theoncologist.2016-0414.

31.  Rupa-Matysek J., Lembicz M., Rogowska E.K. et al. Evaluation of risk factors and assessment models for predicting venous thromboembolism in lung cancer patients. Med Oncol. 2018;35(5):63. DOI: 10.1007/s12032-018-1120-9.

32.  Pestana R.M.C., Alves M.T., de Oliveira A.N. et al. Interleukin-10 levels and the risk of thromboembolism according to COMPASS-Cancer associated thrombosis score in breast cancer patients prior to undergoing doxorubicin-based chemotherapy. Blood Coagul Fibrinolysis. 2023;34(1):70–4. DOI: 10.1097/MBC.0000000000001159.

33.  Cella C.A., Di Minno G., Carlomagno C. et al. Preventing venous thromboembolism in ambulatory cancer patients: the ONKOTEV Study. Oncologist. 2017;22(5):601–8. DOI: 10.1634/theoncologist.2016-0246.

34.  Cella C.A., Knoedler M., Hall M. et al. Validation of the ONKOTEV risk prediction model for venous thromboembolism in outpatients with cancer. JAMA Netw Open. 2023;6(2):e230010. DOI: 10.1001/jamanetworkopen.2023.0010.

35.  Castellón RubioV.E., Segura P.P., Muñoz A. et al. High plasma levels of soluble P-selectin and factor VIII predict venous thromboembolism in non-small cell lung cancer patients: the ThromboNSCLC risk score. Thromb Res. 2020;196:349–54. DOI: 10.1016/j. thromres.2020.09.021.

36.  Gomez-Rosas P., Giaccherini C., Russo L. et al. A new risk prediction model for venous thromboembolism and death in ambulatory lung cancer patients. Cancers (Basel). 2023;15(18):4588. DOI: 10.3390/cancers15184588.

37.  Wolpert F., Berghoff A.S., Grossenbacher B. et al. Venous thromboembolic events in patients with brain metastases: the PICOS score. Eur J Cancer. 2020;134:75–85. DOI: 10.1016/j. ejca.2020.04.018.

38.  Li A., La J., May S.B. et al. Derivation and validation of a clinical risk assessment model for cancer-associated thrombosis in two unique US Health Care Systems. J Clin Oncol. 2023;41(16):2926– 38. DOI: 10.1200/JCO.22.01542.

39.  Roy D.C., Wang T.F., Carrier M et al. Thrombophilia gene mutations predict venous thromboembolism in ambulatory cancer patients receiving chemotherapy. J Thromb Haemost. 2023;21(11):3184–92. DOI: 10.1016/j.jtha.2023.07.017.

40.  de Haan H.G., Bezemer I.D., Doggen C.J. et al. Multiple SNP testing improves risk prediction of first venous thrombosis. Blood. 2012;120(3):656–63. DOI: 10.1182/blood-2011-12-397752.

41.  Muñoz A., Ay C., Grilz E. et al. A clinical-genetic risk score for predicting cancer-associated venous thromboembolism: a development and validation study involving two independent prospective cohorts. J Clin Oncol. 2023;41(16):2911–25. DOI: 10.1200/ JCO.22.00255.