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The increased risk of venous thromboembolism by advancing age cannot be attributed to the higher incidence of cancer in the elderly: The Tromsø study

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Unlabelled: Whether the high incidence of venous thromboembolism (VTE) in the elderly can be attributed to cancer is not well studied. We assessed the impact of cancer on risk of VTE in young, middle-aged and elderly. 26,094 subjects without a history of cancer or VTE were recruited from the Tromsø study. Incident cancer (n = 2,290) and VTE (n = 531) were recorded from baseline (1994-1995) through December 31st, 2009. Cox regression with cancer as time-varying exposure was used to calculate hazard ratios with 95 % confidence intervals (CI). Overt cancer was associated with a fivefold (95 %CI 4.3, 6.7) increased risk of VTE, with an age-dependent gradient from 26-fold (95 %CI 12.1, 56.5) increased in the young, ninefold (95 % CI 6.6, 12.7) increased in the middle-aged, and threefold (95 % CI 2.5, 4.5) increased risk in the elderly. The population attributable risks were 14, 27 and 18 %, respectively. Conclusion: The relative risk of VTE by cancer were higher in young compared to elderly subjects, but the proportion of VTEs in the population due to cancer did not differ much across age groups. Our findings indicate that the increased risk of VTE by advancing age cannot be attributed to higher incidence of cancer in the elderly.
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... VTE occurs predominantly in the elderly (> 85) and obesity (BMI > 35Kg/m 2 ) tends to play an adjuvant role for the development of VTE in this population (4,23,24). In our study, over 90% had a BMI < 35Kg/m 2 and 78.4% were below 60 years. ...
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... Recently, Blix et al. calculated age-specific population attributable risks of VT due to cancer based on incidences of cancer and VT in the Tromsø Study and found a smaller actual difference than postulated between the young (<50 years, population attributable risk 14%) and the elderly (>70 years, population attributable risk 18%). 262 These findings show that malignancy does not explain a substantial proportion of the VT events in the elderly, and, most importantly, that studies focusing on risk factors in the elderly are urgently needed, because extrapolations do not suffice. A limited number of studies have investigated the impact of age-specific risk factor on VT risk, and prelimi-EHA Roadmap for European Hematology Research haematologica | 2016; 101(2) Figure 7. Venous thrombosis (VT) incidence increases with age. ...
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The European Hematology Association (EHA) Roadmap for European Hematology Research highlights major achievements in diagnosis and treatment of blood disorders and identifies the greatest unmet clinical and scientific needs in those areas to enable better funded, more focused European hematology research. Initiated by the EHA, around 300 experts contributed to the consensus document, which will help European policy makers, research funders, research organizations, researchers, and patient groups make better informed decisions on hematology research. It also aims to raise public awareness of the burden of blood disorders on European society, which purely in economic terms is estimated at €23 billion per year, a level of cost that is not matched in current European hematology research funding. In recent decades, hematology research has improved our fundamental understanding of the biology of blood disorders, and has improved diagnostics and treatments, sometimes in revolutionary ways. This progress highlights the potential of focused basic research programs such as this EHA Roadmap. The EHA Roadmap identifies nine ‘sections’ in hematology: normal hematopoiesis, malignant lymphoid and myeloid diseases, anemias and related diseases, platelet disorders, blood coagulation and hemostatic disorders, transfusion medicine, infections in hematology, and hematopoietic stem cell transplantation. These sections span 60 smaller groups of diseases or disorders. The EHA Roadmap identifies priorities and needs across the field of hematology, including those to develop targeted therapies based on genomic profiling and chemical biology, to eradicate minimal residual malignant disease, and to develop cellular immunotherapies, combination treatments, gene therapies, hematopoietic stem cell treatments, and treatments that are better tolerated by elderly patients.
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Study Question: What are the outcomes of patients with cancer complicated by deep venous thrombosis (DVT)?Methods: The initial medical records and outcome of 529 consecutive cancer patients in whom DVT developed from January 1, 1994, through December 31, 1997, were tracked until December 31, 2000. The study was conducted in a major cancer center, and the cost of hospitalization was obtained from the hospital’s cost-accounting system and inflated to 2002 US dollars using the Consumer Price Index for Medical Care. Logistic regression was used to identify factors associated with a high risk of poor outcomes.Results: The mean age was 55 years, and 52% were women. Seventy-seven percent of DVT cases presented as outpatients, 15% had a previous bout of DVT, and 13% developed within 30 days of a surgical procedure. Over 70% had the diagnosis established within 24 h of symptoms onset, although 20% had symptoms for at least 2 weeks; 50% were lower extremity and 40% were a major central vein alone or with an extremity. The latter were more often associated with central venous catheters (51% with vs. 35% without, p<0.001). Ninety-three percent received anticoagulants (95% received heparin). The most common complication of DVT was bleeding, which occurred in 13% of patients. Pulmonary embolus occurred in 4%. Five patients (1%) died of complications of DVT and 5 (1%) of complications of anticoagulation. Recurrence of DVT was common (17% overall), particularly among those who had inferior vena cava filters (32%, p<0.001) or a previous episode of DVT (p=0.03). All but 4 patients were hospitalized for initial anticoagulation therapy, for a mean of 11 days. The mean cost of hospitalization was 2002 US $20,065.Conclusions: Among patients with cancer, DVT frequently is associated with serious clinical outcomes. Its treatment is resource intensive and costly. More effective agents and less costly management strategies could have a significant impact on the outcomes and cost of DVT in this population.Perspective: This study demonstrates the very high rate of recurrence of DVT in cancer patients, and as with other studies that question the efficacy of IVC filters. The latter may be selection bias, but also could infer that the presence of the filter increases the risk of distant thrombosis. Unfortunately, the data cannot be used to draw any specific therapeutic conclusions. MR
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With explanatory covariates, the standard analysis for competing risks data involves modeling the cause-specific hazard functions via a proportional hazards assumption. Unfortunately, the cause-specific hazard function does not have a direct interpretation in terms of survival probabilities for the particular failure type. In recent years many clinicians have begun using the cumulative incidence function, the marginal failure probabilities for a particular cause, which is intuitively appealing and more easily explained to the nonstatistician. The cumulative incidence is especially relevant in cost-effectiveness analyses in which the survival probabilities are needed to determine treatment utility. Previously, authors have considered methods for combining estimates of the cause-specific hazard functions under the proportional hazards formulation. However, these methods do not allow the analyst to directly assess the effect of a covariate on the marginal probability function. In this article we propose a novel semiparametric proportional hazards model for the subdistribution. Using the partial likelihood principle and weighting techniques, we derive estimation and inference procedures for the finite-dimensional regression parameter under a variety of censoring scenarios. We give a uniformly consistent estimator for the predicted cumulative incidence for an individual with certain covariates; confidence intervals and bands can be obtained analytically or with an easy-to-implement simulation technique. To contrast the two approaches, we analyze a dataset from a breast cancer clinical trial under both models.
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Although the association between malignancy and thromboembolic disease is well established, the relative risk of developing initial and recurrent deep vein thrombosis (DVT) or pulmonary embolism (PE) among patients with malignancy versus those without malignancy has not been clearly defined. The Medicare Provider Analysis and Review Record (MEDPAR) database was used for this analysis. Patients hospitalized during 1988-1990 with DVT/PE alone, DVT/PE and malignancy, malignancy alone, or 1 of several nonmalignant diseases (other than DVT/PE) were studied. The association of malignancy and nonmalignant disease with an initial episode of DVT/PE, recurrent DVT/PE, and mortality were analyzed. The percentage of patients with DVT/PE at the initial hospitalization was higher for those with malignancy compared with those with nonmalignant disease (0.6% versus 0.57%, p = 0.001). The probability of readmission within 183 days of initial hospitalization with recurrent thromboembolic disease was 0.22 for patients with prior DVT/PE and malignancy compared with 0.065 for patients with prior DVT/PE and no malignancy (p = 0.001). Among those patients with DVT/PE and malignant disease, the probability of death within 183 days of initial hospitalization was 0.94 versus 0.29 among those with DVT/PE and no malignancy (p = 0.001). The relative risk of DVT/PE among patients with specific types of malignancy is described. This study demonstrates that patients with concurrent DVT/PE and malignancy have a more than threefold higher risk of recurrent thromboembolic disease and death (from any cause) than patients with DVT/PE without malignancy. An alternative management strategy may be indicated for such patients.
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Background: Accurate population-based data are needed on the incidence of venous thromboembolism (VTE) in patients with different cancers in order to inform guidelines on which hospitalised and ambulatory cancer patients should receive VTE prophylaxis. Methods: We conducted a cohort study using data from the Clinical Practice Research Datalink, linked to Hospital Episode Statistics, Cancer Registry data and Office for National Statistics cause of death data. We determined the incidence rates (cases per 1000 person-years) of VTE separately for 24 cancer sites. To determine relative risk, incidence rates were compared to frequency-matched controls (by age) with no record of cancer. Findings: We identified 83,203 cancer patients and 577,207 controls. New cases of VTE were diagnosed in 3352 cancer patients, and 6353 controls. The absolute rate of VTE in all cancers was 13.9 per 1000 person-years (95% confidence interval [CI] 13.4-14.4), corresponding to an age, sex and calendar year adjusted hazard-ratio of 4.7 (CI 4.5-4.9) between cancer patients and the general population. Rates varied greatly by cancer site (range; 98 (CI 80-119) in pancreatic cancer to 3.1 (CI 1.5-6.5) in thyroid cancer), age (range; 16.9 for patients over 80 years to 4.9 for those under 30 years) and time from diagnosis (range; 75 in the first three months to 8.4, >1 year after diagnosis). Interpretation: VTE is strongly linked to cancer, but the annual rate varies greatly by cancer site, proximity to diagnosis and age. Prophylaxis guidelines should take account of cancer site and such intervention should also be targeted towards the three months following diagnosis.
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In recent years, clinical investigation in the field of cancer-associated thrombosis has identified a number of potential biomarkers to predict the risk of developing a thrombotic event. Similarly, large randomized clinical trials have demonstrated the benefit of low molecular weight heparins in the treatment as well as prevention of venous thromboembolic events (VTE) in cancer patients. However, the most common statistical methodology to evaluate the occurrence of VTE has been the Kaplan-Meier approach. When used to estimate the cumulative incidence of VTE in cancer studies, the Kaplan-Meier method over-estimates the cumulative incidence function due to failure to account for death as a competing risk for the development of VTE. A more appropriate statistical estimate of cumulative incidence of VTE in cancer studies is the competing risk model. This review describes the theoretical and mathematical basis for estimating the cumulative incidence function by the competing risk model for the analysis of VTE outcomes in cancer-associated thrombosis.