Epidemiology and pathophysiology of venous thromboembolism: similarities with atherothrombosis and the role of inflammation

2015 ◽  
Vol 113 (06) ◽  
pp. 1176-1183 ◽  
Author(s):  
Nicoletta Riva ◽  
Marco P. Donadini ◽  
Walter Ageno

SummaryVenous thromboembolism (VTE) is a multifactorial disease. Major provoking factors (e. g. surgery, cancer, major trauma, and immobilisation) are identified in 50–60 % of patients, while the remaining cases are classified as unprovoked. However, minor predisposing conditions may be detectable in these patients, possibly concurring to the pathophysiology of the disease, especially when co-existing. In recent years, the role of chronic inflammatory disorders, infectious diseases and traditional cardiovascular risk factors has been extensively investigated. Inflammation, with its underlying prothrombotic state, could be the potential link between these risk factors, as well as the explanation for the reported association between arterial and venous thromboembolic events.

2004 ◽  
Vol 91 (03) ◽  
pp. 538-543 ◽  
Author(s):  
Ora Paltiel ◽  
Michael Bursztyn ◽  
Moshe Gatt

SummaryProlonged immobilization and advanced age are considered to be important risk factors for venous thromboembolism (VTE). Nevertheless, the need for VTE prophylaxis in long-term bedridden patients is not known. To assess whether very prolonged immobilization (i.e. over three months) carries an increased risk for clinically apparent VTE, we performed a historical-cohort study of nursing home residents during a ten-year period. Data concerning patient’s mobility and incidence of overt deep vein thrombosis or pulmonary embolism were registered. The mean resident age was 85 ± 8.4 years. Eighteen mobile and eight immobile patients were diagnosed with clinically significant thromboembolic events, during 1137 and 573 patient-years of follow up, respectively. The incidence of venous thromboembolic events was similar in both chronically immobilized and mobile patient groups, 13.9 and 15.8 per thousand patient years, respectively (p = 0.77). The rate ratio for having a VTE event in the immobilized patient group as compared with the mobile group was 0.88 (95% Confidence Interval (CI) 0.33 to 2.13). When taking into account baseline characteristics, risk factors and death rates by various causes, no differences were found between the two groups. In conclusion, chronically immobile bedridden patients are no more prone to clinically overt venous thromboembolic events than institutionalized mobile patients. Until further studies are performed concerning the impact of very prolonged immobilization on the risk of VTE, there is no evidence to support primary prevention after the first three months of immobilization. Evidence for efficacy or cost effectiveness beyond this early period is not available.


2018 ◽  
Vol 96 (7) ◽  
pp. 620-625
Author(s):  
E. A. Makarov ◽  
H. I. Novikov ◽  
A. S. Zykova ◽  
T. N. Krasnova ◽  
A. V. Balatskiy ◽  
...  

The rate of venous thromboembolic events (VTE) is high in patients with ANCA-associated vasculitides (AAV), but risk factors are unclear. Material and methods. In 85 patients with AAV we performed routine clinical assessment and detected genetic mutations, associated with thrombophilia by real time polymerase chain reaction. Results. The polymorphism ofmethylenetetrahydrofolate reductase gene (MTHFR 677 C/T) is associated with lung involvement (р=0,007, OR 4,305 (95% CI 1,547-11,983), polymorphism FXIII 103 G/T is associated with higher VDI - 6,0 (4,0; 8,0) и and earlier disease onset. Combined impact of integrin А2 (ITGA2 807 C/T), plasminogen activator inhibitor-1 (PAI-1 675 5G4G), fibrinogen (FGB 455 G/A) and FV (FV 1691 G/A) polymorphism effects on VTE development in patients with AAV (p=0,007). Conclusion. Thrombophilia genes may be considered as risk factors of VTE in patients with AAV.


Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 3828-3828
Author(s):  
Apostolia-Maria Tsimberidou ◽  
Sushma Vemulapalli ◽  
Lakshmi Chintala ◽  
Navjot Dhillon ◽  
Xiudong Lei ◽  
...  

Abstract Venous thromboembolism (VTE) is common in patients with advanced cancer and may influence patient eligibility for clinical studies, quality of life, and survival. We reviewed the records of 220 consecutive patients seen in the Phase I Program at M. D. Anderson Cancer Center to determine the frequency of VTE, associated characteristics and clinical outcomes. Of 220 patients, 23 (10.5%) presented to the Phase I clinic with a history of VTE. Twenty-six patients (11.8%) subsequently developed a venous thromboembolic event, with a median follow-up of 8.4 months. These included 9 of 23 patients (39%) with and 17 of 197 (8.6%) without a history of VTE (p < 0.0001). The median time from the first visit to the Phase I clinic to a new thromboembolic episode in the 26 patients was 5.1 months (range, 0 to 27 months). The respective times to development of new thromboembolic events for patients with and without a history of thromboembolism were 3.1 months (n = 9) and 5.3 months (n = 17). Four (15%) of the 26 patients developed venous thromboembolism within one month after their first visit to the Phase I clinic. Among the remaining 22 patients, 18 (69%) developed venous thromboembolism within the first year following their initial visit to the Phase I clinic, and 4 patients developed it after 2.5 years. Fifteen patients developed DVT, seven pulmonary embolism (PE), and one patient each developed one of the following thromboembolic episodes: concurrent DVT and PE; right atrial thrombus; thrombus in the abdominal aorta and DVT; and isolated thrombus in an abdominal aortic aneurysm. The median survival in patients with and without a history of VTE were 4.7 and 10.9 months, respectively (p = 0.0002). Multivariate analysis demonstrated that a history of VTE (hazard ratio 6.2; 95% C.I. 2.6–14.7; p < 0.0001), diagnosis of pancreatic cancer (hazard ratio 4.0; 95% C.I. 1.5–11.2; p=0.007) and platelet count >440 × 109/L (hazard ratio 3.1; 95% C.I. 1.1–8.2; p = 0.026) predicted the development of new venous thromboembolic episodes. These three parameters were used to design a predictive model. Based on the relative risks of the independent covariates, the relative risk of a new thromboembolic episode could be characterized by summing the weighted number of risk factors present at first visit to the Phase I clinic. History of venous thromboembolism was given a score of 2 because the hazard ratio was 6.3, whereas the diagnosis of pancreatic cancer and elevated platelet counts had hazard ratios of 4.7 and 3.0, respectively, and were each given a score of 1. Therefore, patients could have a score ranging from 0 to 4 (no patients had a score of 4). Patients were assigned to one of three risk groups on the basis of their weighted number of presenting risk factors: 0, low risk; 1, medium risk; 2–3, high risk. At 6 months, the rates of a new thromboembolic episode were 3.5%, 12.5%, and 28% for patients with scores 0, 1, or 2–3, respectively (p<0.0001). The median time to a new thromboembolic episode was not reached for patients with a score 0 or 1, and it was 9.1 months for patients with a score of 2–3. In conclusion, a history of VTE or new development of VTE was noted in 40 (18%) of 220 patients seen in our Phase 1 clinic. Our study suggests the need to closely monitor individuals with advanced cancer for the development of venous thromboembolic events. The high risk of recurrent venous thromboembolism in patients with a prior history of venous thromboembolism, whose anticoagulation therapy was discontinued before clinic referral, supports long-term continued prophylaxis in these patients. A prognostic score to predict for time to and frequency of venous thromboembolic events is thereby proposed.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 3611-3611
Author(s):  
Sabarish Ram Ayyappan ◽  
Vinita Gupta ◽  
Akiva Diamond ◽  
Brenda Cooper ◽  
Ben K. Tomlinson ◽  
...  

Abstract Venous thromboembolic events (VTE) are common after the diagnosis of lymphoma. Although various risk factors have been associated with VTE in cancer patients, there is no specific VTE risk prediction score for diffuse large B cell lymphoma (DLBCL) patients. The Khorana score is a prediction-model of VTE in cancer patients receiving chemotherapy that incorporates clinical and laboratory parameters. We evaluated the risk factors for VTE, the effect of VTE on the outcomes of DLBCL patients and the utility of the Khorana score in DLBCL patients. Methods: We searched the Hematologic Malignancies Database of University Hospitals Seidman Cancer Center for newly diagnosed DLBCL patients between 2002 and 2014. Data on patient characteristics including risk factors, disease characteristics, treatment, outcomes and VTE was collected. The Khorana score was calculated using clinical (disease type, body mass index) and laboratory (hemoglobin level, platelet and leukocyte count) parameters. Risk factors identified as having statistical significance on univariate Cox proportional hazards analysis (p <0.05) were selected for multivariate analysis. Cumulative incidence (with death as competing risk) was used to estimate the incidence of VTE. Overall survival (OS) and progression free survival (PFS) were calculated using the Kaplan-Meier method; comparison between groups was done using the log-rank test. Results: Four hundred DLBCL patients were included for analysis. Median age at diagnosis was 63 with 235 patients above the age of 60. Two hundred and thirty seven patients (59.3 %) had advanced stage at diagnosis and 14 patients (3.5%) had a prior history of VTE. Baseline characteristics are listed in Table 1. Sixty percent of patients had a Khorana score of 1 with no risk factors in addition to the diagnosis of lymphoma. At median follow up of 33 months, 70 patients (18%) presented a VTE, with 1-year and 3-year cumulative incidence of 10.1% (95% CI 7.1-13.6) and 14% (95 % CI 10.8-18), respectively. Fifty-seven VTE (81% of all VTEs) were diagnosed in patients with active disease (at diagnosis, relapse or during active therapy). The Khorana score separated DLBCL patients in three VTE risk groups: intermediate (1 point), high (2 points) and very high (3 or more points) with 1 year cumulative incidence of VTE of 6.4%, 11.6% and 22.2%, respectively (p = 0.009) (Figure 1). On univariate analysis, bone involvement by lymphoma, elevated corrected calcium (>12g/dL), increased white cell count (>11,000/mcl), hemoglobin (<10g/dL), monocytosis (>800/mcl) and chromosomal translocations involving MYC presented statistically significant increases in hazard of VTE (Table 2). On multivariate analysis only bone involvement (p=0.017) and anemia (p=0.035) retained statistical significance as risk factors for VTE. Three-year OS for patients presenting with VTE within 1 year of DLBCL diagnosis was 46.7 % (95% CI 30-63.3) vs. 72.3% (95% CI 67.4-77.3) in subjects without early VTE (p=0.05) (Figure 2). Presence of VTE at any time after DLBCL diagnosis was also associated with worse OS rates, with estimated 3-year OS of 52.2 % (95 % CI 39.8-64.7) for subjects experiencing VTE and 74 % (95 % CI 69-79) for those without VTE after DLBCL diagnosis (p<0.0001). Conclusion: Venous thromboembolic events are common after diagnosis of DLBCL and are associated with worsened outcomes. The Khorana score is capable of identifying patient subgroups with increased risk of VTE. Additional parameters associated with aggressive disease and advanced stages could further help in VTE risk stratification for selection of patients who may benefit from antithrombotic prophylaxis. Prospective validation of VTE risk assessments and clinical trials of VTE prevention are needed in this high=risk population. Disclosures Caimi: Gilead: Consultancy; Novartis: Consultancy; Genentech: Speakers Bureau; Roche: Research Funding.


2021 ◽  
Vol 85 (3) ◽  
pp. 63
Author(s):  
A.V. Bervitskiy ◽  
G.I. Moisak ◽  
V.E. Guzhin ◽  
E.V. Amelina ◽  
A.V. Kalinovskiy ◽  
...  

2018 ◽  
Vol 53 (10) ◽  
pp. 1996-2002 ◽  
Author(s):  
Sarah B. Cairo ◽  
Timothy B. Lautz ◽  
Beverly A. Schaefer ◽  
Guan Yu ◽  
Hibbut-ur-Rauf Naseem ◽  
...  

2016 ◽  
Vol 102 (3) ◽  
pp. 979-984 ◽  
Author(s):  
Styliani Mantziari ◽  
Caroline Gronnier ◽  
Arnaud Pasquer ◽  
Johan Gagnière ◽  
Jérémie Théreaux ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document