Austrian Science Fund, Austrian National Bank Memorial Fund, and participating hospitals.

We identified biomarkers suitable for assessing the VTE risk in newly diagnosed HGG patients. The application of 2 RAMs allowed identification of patients at high risk of developing VTE. We could also define patients at low risk of VTE, who would most probably not benefit from extended primary thromboprophylaxis.

Background. In cancer patients, reduced serum albumin has been described as a marker for global declining health and poor prognosis. Our aim was to investigate the association of albumin concentrations with the occurrence of venous thromboembolism (VTE) and mortality in patients with cancer. Methods. This investigation was performed in the framework of the Vienna Cancer and Thrombosis Study (CATS), a prospective observational cohort study. We included 1,070 patients with active cancer and assayed serum albumin from venous blood taken at study inclusion. Risk for occurrence of VTE was calculated in a proportional subdistribution hazard regression model with respect to competing risk of death and adjusted for cancer site, leukocyte count, estimated glomerular filtration rate, and cholinesterase.

Venous thromboembolism (VTE) is a frequent complication of malignancy. The aim of this study was to investigate whether multi-state modelling may be a useful quantitative approach to dissect the complex epidemiological relationship between hypercoagulability, VTE, and death in cancer patients. We implemented a three-state/three-transition unidirectional illness-death model of cancer-associated VTE in data of 1,685 cancer patients included in a prospective cohort study, the Vienna Cancer and Thrombosis Study (CATS). During the two-year follow-up period, 145 (8.6 %) patients developed VTE, 79 (54.5 %) died after developing VTE, and 647 (38.4 %) died without developing VTE, respectively. VTE events during follow-up were associated with a three-fold increase in the risk of death (Transition Hazard ratio (HR)=2.98, 95 % confidence interval [CI]: 2.36-3.77, p< 0.001). This observation was independent of cancer stage. VTE events that occurred later during follow-up exerted a stronger impact on the risk of death than VTE events that occurred at earlier time points (HR for VTE occurrence one year after baseline vs at baseline=2.30, 95 % CI: 1.28-4.15, p=0.005). Elevated baseline D-dimer levels emerged as a VTE-independent risk factor for mortality (HR=1.07, 95 % CI: 1.05-1.08, p< 0.001), and also predicted mortality risk in patients who developed VTE. A higher Khorana Score predicted both the risk for VTE and death, but did not predict mortality after cancer-associated VTE. In conclusion, multi-state modeling represents a very potent approach to time-to-VTE cohort data in the cancer population, and should be used for both observational and interventional studies on cancer-associated VTE.

BackgroundCancer patients are at high risk of developing venous thromboembolism (VTE). Red cell distribution width (RDW) has been reported to be associated with arterial and venous thrombosis and mortality in several diseases. Here, we analyzed the association between RDW and other red blood cell (RBC) parameters with risk of VTE and mortality in patients with cancer.MethodsRBC parameters were measured in 1840 patients with cancers of the brain, breast, lung, stomach, colon, pancreas, prostate, kidney; lymphoma, multiple myeloma and other tumor sites, that were included in the Vienna Cancer and Thrombosis Study (CATS), which is an ongoing prospective, observational cohort study of patients with newly diagnosed or progressive cancer after remission. Primary study outcome is occurrence of symptomatic VTE and secondary outcome is death during a maximum follow-up of 2 years.ResultsDuring a median follow-up of 706 days, 131 (7.1%) patients developed VTE and 702 (38.2%) died. High RDW (>16%) was not associated with a higher risk of VTE in the total study cohort; in competing risk analysis accounting for death as competing variable the univariable subhazard ratio (SHR) was 1.34 (95% confidence interval [CI]: 0.80–2.23, p = 0.269). There was also no significant association between other RBC parameters and risk of VTE. High RDW was associated with an increased risk of mortality in the total study population (hazard ratio [HR, 95% CI]: 1.72 [1.39–2.12], p<0.001), and this association prevailed after adjustment for age, sex, hemoglobin, leukocyte and platelet count (HR [95% CI]: 1.34 [1.06–1.70], p = 0.016).ConclusionsRDW and other RBC parameters were not independently associated with risk of VTE in patients with cancer and might therefore not be of added value for estimating risk of VTE in patients with cancer. We could confirm that high RDW is an independent predictor of poor overall survival in cancer.

Venous thromboembolism (VTE) is a frequent complication in cancer patients. Mean platelet volume (MPV) has been associated with arterial and venous thrombosis in patients without cancer. We analysed MPV in cancer patients and investigated the association of MPV with risk of VTE and mortality. MPV was routinely determined in the Vienna Cancer and Thrombosis Study, a prospective, observational cohort study of patients with newly diagnosed or progressive cancer after remission. Study endpoints were occurrence of symptomatic VTE or death during a maximum follow-up of two years. Out of 1,544 included patients, 114 (7.4%) developed VTE and 573 (37.1%) died during a median observation time of 576 days. High MPV ≥75th percentile of the study population; ≥10.8 fL) was associated with decreased risk of VTE compared to MPV below the 75th percentile (HR [95% CI]: 0.59 [0.37-0.95], p=0.031). In multivariable analysis, including age, sex, cancer groups, newly diagnosed vs recurrent disease, platelet count and soluble P-selectin, this association remained statistically significant (0.65 [0.37-0.98], p=0.041). Mortality of patients with MPV (≥75th percentile was significantly decreased compared to those with lower MPV (0.72 [0.59-0.88], p=0.001). Two-year probability of VTE and overall survival was 5.5% and 64.7% in patients with high MPV compared to 9% and 55.7% in those with lower MPV. In conclusion, high MPV is associated with decreased VTE risk and improved survival in cancer patients. This finding is contrary to results observed in patients without cancer. Further studies are needed to confirm our results and elucidate underlying mechanisms.

To cite this article: Reitter E-M, Kaider A, Ay C, Quehenberger P, Marosi C, Zielinski C, Pabinger I. Longitudinal analysis of hemostasis biomarkers in cancer patients during antitumor treatment. J Thromb Haemost 2016; 14: 294-305. Essentials Hemostasis biomarkers impact thrombosis occurrence and survival in cancer patients. We performed a longitudinal analysis of hemostatic parameters in 112 cancer patients. Hemostatic parameters are associated with disease state, patients' prognosis, and the risk of VTE. The procoagulant state exists not only at diagnosis, but also during the course of disease. Summary. Background: Hemostasis biomarkers are known to have an impact on venous thromboembolism (VTE) occurrence and survival in cancer patients. Objectives: As there are almost no data on longitudinal changes, we aimed to evaluate those in the present prospective observational study during chemotherapy and the course of disease. Patients/Methods: Patients with cancer of the brain (n = 39), lung (n = 41), colon (n = 15) or pancreas (n = 17) were included before initiation of antitumor therapy. Blood samples for determination of factor VIII, thrombin peak height, D-dimer, F 1 + 2 , fibrinogen and soluble P-selectin (sP-selectin) were drawn on a monthly basis. The study endpoints were death, VTE occurrence, or completion of the study period. Results: Overall, 546 blood samples of 112 patients were analyzed. D-dimer and sP-selectin levels were significantly higher in patients with distant metastasis than in those without. Patients with complete remission had significantly lower levels of F 1 + 2 , D-dimer and fibrinogen. Peak height thrombin levels showed a decrease over time in all tumor types. Levels of biomarkers behaved differently in the various tumor types. Patients who developed VTE (n = 14) showed increasing levels of FVIII, sP-selectin, and D-dimer. At the last blood sampling time-point before VTE occurrence, in 13 patients the D-dimer level was above the median, and in seven of these patients it was even above the 75th percentile; however, the individual course was highly variable. Regarding survival, steadily increased FVIII, sP-selectin and D-dimer levels were associated with higher mortality. Conclusions: Hemostatic parameters show an association with disease state, prognosis, and the risk of VTE, not only at diagnosis, but also during the course of antineoplastic treatment.

Summary. Background: Patients with cancer are at an increased risk for venous thromboembolism (VTE). The risk varies markedly in different patient populations. Factor V (FV) Leiden is the most common genetic risk factor for VTE, and the impact of FV Leiden on cancer-associated thrombosis is not yet fully elucidated. Objective: To study the impact of FV Leiden on the risk of thrombosis in cancer patients. Methods: In the prospective observational Vienna Cancer And Thrombosis Study (CATS), 982 patients were included and were followed until occurrence of VTE or death, for a maximum period of 2 years. FV Leiden was determined by genotyping at inclusion. Main outcome measures were symptomatic or lethal objectively confirmed VTE. Results: Of the 982 patients, FV Leiden was diagnosed in 72 (7.3%, 70 were heterozygous and 2 were homozygous). Ten of 72 (13.9%) patients with FV Leiden developed VTE, whereas this was the case in 69 of 910 (7.6%) patients without FV Leiden. In multivariate analysis that included age, sex, different tumor types, tumor stage, newly diagnosed vs. recurrence of disease, and the treatment modalities, the hazard ratio was 2.0 (95% confidence interval 1.0-4.0). In Kaplan-Meier analysis, the probability for development of VTE was 13% in those with and 5.7% in those without FV Leiden after 6 months; after 1 year, the corresponding risks were 15% and 7.3%. Conclusions: FV Leiden is a genetically determined and thus disease-independent parameter, which is associated with VTE in cancer patients and could therefore be used for individual risk assignment.