Cancer, Deep-Vein Thrombosis, Pulmonary Embolism, Venous Thromboembolism
Conditions
Keywords
Venous Thrombosis, Cancer, Coagulation factors, Blood
Brief summary
Cancer increases the risk of deep vein blood clots and clots traveling to the lungs (emboli) which cause morbidity (leg swelling, pain, and shortness of breath), sudden death, delays cancer treatment, and decreases cancer survival by 66% compared to similar cancer patients without blood clots. Blood thinners may prevent clots but major bleeding is also a problem, so preventive therapies are not used routinely. Identifying patients at highest risk for clots is critical. A tool exists but it has not been used outside of research. We propose to study how to apply this tool in clinical practice and test if it works.
Detailed description
Patients with Cancer have a risk for venous thromboembolism (VTE) including deep-vein thrombosis (DVT) and/or pulmonary embolism (PE) that is markedly higher than non-Cancer patients. An acute episode of VTE has deleterious effects on the quality of life and long-term survival of cancer patients. Cancer patients with VTE have survival rates that are only one third of otherwise identical patients without VTE. Once VTE is diagnosed over 10% of cancer patients suffer a further event while on standard therapy and over 5% suffer a major hemorrhagic event. The best way to treat VTE is its prevention (thromboprophylaxis). Studies suggest that among ambulatory cancer patients, risk for VTE varies markedly between patients and that the lack of knowledge of this risk, delays diagnosis and hampers efforts to effectively prevent VTE. Therefore, the identification of patients at high-risk for VTE may enable faster diagnosis of VTE and better use of thromboprophylaxis. Recent studies have developed a novel tool to stratify VTE risk in cancer patients before they initiate anti-cancer treatment. We hypothesized that this risk tool will accurately identify cancer patients at high-risk and that its implementation in our clinical practice will result in a faster clinical diagnosis of VTE. Our objective is: a) to evaluate the ideal strategy to incorporate the tool in our clinical setting as seamlessly as possible, and b) to determine whether the tool accurately predicts risk and results in a faster investigation for VTE. Patient eligibility will be determined during the patient's initial consult to the Ottawa Cancer Center after cancer diagnosis has been confirmed by the medical Oncologist and before initiation of anticancer treatment. Follow-up for this study will be for 12 months and patients will be seen at the time of scheduled appointments for cancer treatment.
Interventions
None listed
Sponsors
The Ottawa Hospital Academic Medical Association
Ottawa Hospital Research Institute
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* 18 years old or older * with a newly diagnosed cancer site (brain, bladder, lung, testicle, pancreas, stomach and lymphomas) * or progression of the malignant disease after complete or partial remission who have not recently received chemotherapy (≤ 3 months), radiotherapy and surgery (≤ 2 weeks)
Exclusion criteria
* Cancer patients with confirmed VTE or arterial embolism within the last 3 months * Cancer patients who are receiving continuous anticoagulation
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Risk for Venous Thromboembolism | 1 year | This outcome will be measured by the cummulative rates of VTE stratified by the different categories of risk as determined by the prediction tool during the time-frame of the study |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Timing to VTE detection | 1 year | This will be measured by the time elapsed between the first signs or symptoms associated with a symptomatic VTE as described by the patient and the time of confirming VTE diagnosis. |
| Study Feasibility | 1 year | Feasibility will be assessed by: a) achieving an average enrollment rate of at least 39 cancer patients per month; and b) accomplishing a rate of withdrawals or loss to follow-ups equal or less than 10% |
| Physicians acceptance | 1 year | This will be assessed by measurements of physician's satisfaction to the implementation of the Risk stratification tool at the end of the study period. |
| Success of an IS/IT solution | 1 year | This outcome will be measured by the physician's satisfaction to the implementation of an automatic risk detection. |
Countries
Canada
Outcome results
None listed