Validation of the IMPEDE VTE score for prediction of venous thromboembolism in multiple myeloma: a retrospective cohort study.

The IMPEDE VTE score has recently emerged as a novel risk prediction tool for venous thromboembolism (VTE) in multiple myeloma (MM). We retrospectively reviewed 839 patients with newly diagnosed MM between 2010 and 2015 at Cleveland Clinic and included 575 patients in final analysis to validate this score. The c-statistic of the IMPEDE VTE score to predict VTE within 6 months of treatment start was 0·68 (95% CI: 0·61-0·75). The 6-month cumulative incidence of VTE was 5·0% (95% CI: 2·1-7·9) in the low risk group, compared to 12·6% (95% CI: 8·9-16·4%) and 24·1% (95% CI: 12·2-36·1) in the intermediate and high risk groups (P < 0·001 for both). In addition, a higher proportion of patients in the VTE cohort had ECOG performance status of ≥2 as compared to the no VTE cohort (33% vs. 16%, P = 0·001). Other MM characteristics such as stage, immunoglobulin subtype, and cytogenetics were not predictors of VTE. In summary, we have validated the IMPEDE VTE score in our patient cohort and our findings suggest that it can be utilized as a VTE risk stratification tool in prospective studies looking into investigating VTE prophylaxis strategies in MM patients.

Bleeding incidence and risk factors among cancer patients treated with anticoagulation.

Compared to age-matched controls, cancer patients have increased risk of bleeding when treated with anticoagulation. However, there are little data regarding bleeding as it relates to anticoagulant choice and other risk factors. We evaluated the six-month incidence of bleeding among patients treated with anticoagulation who had bleeding risk factors. Data were obtained from Explorys (IBM Watson, Inc.), which pools data from multiple US healthcare organizations. Cohorts of patients were created to compare bleeding events between cancer and non-cancer patients treated with anticoagulation within six months of starting anticoagulation. Potential bleeding risk factors such as cancer type, metastatic disease, obesity, chronic kidney disease stage III or higher, and platelet count were evaluated. We compared ratios of numbers of patients in specific cohorts using chi-squared tests with continuity correction. The cohort comprised 3 283 140 cancer patients, of whom 435 140 (13.3%) received anticoagulation within six months of their cancer diagnosis. Bleeding incidence was higher in cancer vs non-cancer patients across all anticoagulants studied: warfarin 20.2% vs 12.6%, rivaroxaban 16.7% vs 12.1%, LMWH 13.2% vs 9.7%, and apixaban 14.5% vs 9.3%, P < .001 for all comparisons. Among all anticoagulants except warfarin, we found increased bleeding incidence in cancer patients with metastatic disease, gastrointestinal primary, CKD ≥ stage III, and platelets <100,000 × 109 /L. Bleeding incidence was higher in cancer patients regardless of the anticoagulant used. Patients with gastrointestinal malignancies had a higher incidence of bleeding compared to other tumors across all anticoagulants. Other factors associated with increased risk of bleeding included metastatic disease, chronic kidney disease, and thrombocytopenia.

Building a CAT clinic - real-world systems approaches to prevention and treatment.

Cancer patients have an increased risk of developing venous thrombosis. The implementation of a cancer associated thrombosis clinic can be instrumental for the prevention, early recognition, and management of venous thromboembolism in this vulnerable population. Cancer thrombosis clinics rely on a multidisciplinary approach to care and require standardization along with a dedicated team of healthcare professionals. Cancer thrombosis clinics have the potential to improve patient outcomes and lower healthcare expenditure. Herein, we describe a successful model of a cancer thrombosis clinic and highlight the potential impact on clinical outcomes.

COVID-19 and venous thromboembolism: A narrative review.

COVID-19 (severe acute respiratory syndrome coronavirus 2 [SARS-CoV-2]) is associated with coagulopathy through numerous mechanisms. The reported incidence of venous thromboembolism (VTE) in hospitalized patients with COVID-19 has varied widely, and several meta-analyses have been performed to assess the overall prevalence of VTE. The novelty of this coronavirus strain along with its unique mechanisms for microvascular and macrovascular thrombosis has led to uncertainty as to how to diagnose, prevent, and treat thrombosis in patients affected by this virus. This review discusses the epidemiology and pathophysiology of thrombosis in the setting of SARS-CoV-2 infection along with an updated review on the preventative and treatment strategies for VTE associated with SARS-CoV-2 infection.

Building a CAT clinic - real-world systems approaches to prevention and treatment.

Cancer patients have an increased risk of developing venous thrombosis. The implementation of a cancer associated thrombosis clinic can be instrumental for the prevention, early recognition, and management of venous thromboembolism in this vulnerable population. Cancer thrombosis clinics rely on a multidisciplinary approach to care and require standardization along with a dedicated team of healthcare professionals. Cancer thrombosis clinics have the potential to improve patient outcomes and lower healthcare expenditure. Herein, we describe a successful model of a cancer thrombosis clinic and highlight the potential impact on clinical outcomes.

Clinical outcomes of isolated distal deep vein thrombosis versus proximal venous thromboembolism in cancer patients: The Cleveland Clinic experience.

BACKGROUND: Previous studies suggest isolated distal deep vein thrombosis (IDDVT) has a self-limited clinical course. However, these studies excluded cancer patients, who remain a high-risk population. In addition, studies to evaluate the long-term clinical outcomes of IDDVT in cancer patients have been limited. Here, we report outcomes from our experience in treating cancer-associated IDDVT versus proximal venous thromboembolism (VTE). METHODS: We prospectively evaluated a cohort of patients referred to our cancer-associated thrombosis clinic from August 2014 through May 2018. We compared clinical characteristics, anticoagulation prescription, VTE recurrence, overall survival, major bleeding, and subsequent hospital admission between cancer patients with IDDVT and proximal VTE. A propensity score matching method was used to reduce bias from confounding variables. RESULTS: Of 1100 patients referred to the clinic, 124 IDDVT and 178 proximal VTE events were analyzed. After propensity score matching, 96 patients were included in each cohort. There was no difference in the rate of recurrent VTE between cancer patients with proximal VTE vs IDDVT, with or without matching (matched: hazard ratio [HR], 0.77; 95% confidence interval [CI], 0.31-1.92; P = .58). There was no difference in overall survival between cancer patients with proximal VTE vs. IDDVT with or without matching (matched: HR, 1.18; 95% CI, 0.77-1.82; P = .45). Furthermore, subsequent hospital admissions and major bleeding events were similar between patients with proximal VTE events versus IDDVT. CONCLUSIONS: Cancer patients with IDDVT have similar outcomes as their proximal counterparts, including rate of recurrence and overall survival. These findings suggest treatment of cancer-associated IDDVT should mirror treatment of proximal events.

Use of GMI-1271, an E-selectin antagonist, in healthy subjects and in 2 patients with calf vein thrombosis.

BACKGROUND: There is an unmet need for antithrombotic treatments for venous thromboembolic disease that do not increase bleeding risk. Selectins are cell adhesion molecules that augment thrombosis by activating immune cells to initiate the coagulation cascade. GMI-1271, a potent small-molecule E-selectin antagonist, has been shown in mouse models to decrease thrombus burden with a low risk of bleeding. METHODS: A first-in-human study of GMI-1271 was conducted to assess its safety, tolerability, and pharmacokinetic (PK) profile. As a secondary end point, biomarkers of coagulation, cell adhesion, and leukocyte/platelet activation were evaluated. Aims 1 and 2 were performed in healthy volunteers and evaluated single and multiple doses of the study drug, respectively. Aim 3 included 2 patients with isolated calf-level deep vein thrombosis (DVT). RESULTS: GMI-1271 showed consistent PK parameters for doses ranging from 2 to 40 mg/kg. Plasma levels increased in a linear manner with respect to dose, while clearance, volume of distribution, and half-life were not dose dependent. No accumulation was seen with multiple consecutive doses. No serious adverse events (grade 3 or 4) were reported. Biomarker analysis demonstrated a trend in reduction of soluble E-selectin (sEsel) levels with GMI-1271 exposure, while exposure did not impact laboratory testing of coagulation. Two patients with calf vein DVT were treated with GMI-1271 and demonstrated rapid improvement of symptoms after 48 hours, with repeat ultrasound showing signs of clot resolution. CONCLUSIONS: We demonstrate that GMI-1271 is safe in healthy volunteers and provide proof of concept that an E-selectin antagonist is a potential therapeutic approach to treat venous thrombosis.

Implementation of an electronic medical record tool for early detection of deep vein thrombosis in the ambulatory oncology setting.

BACKGROUND: Venous thromboembolism (VTE) is a major cause of morbidity, mortality, and hospitalization in cancer patients. OBJECTIVES: To evaluate the feasibility of an electronic alert to identify and screen at-risk individuals and gather rates of early detection of deep vein thrombosis (DVT). PATIENTS/METHODS: An alert was built into the electronic medical record based on a validated risk tool (Khorana Score [KS]) and outcomes evaluated in an initial silent phase. The alert functioned in real time to warn physicians of high-risk patients (KS ≥ 3) and suggested lower extremity screening ultrasonography in a subsequent active phase. RESULTS: Of 194 consecutive patients identified as high risk in the silent phase, 14 (7.2%) developed subsequent DVT or pulmonary embolism (PE) over 90-day follow-up, with a median of 27 days. Mean 90-day emergency room (ER) visits, all-cause admissions, and length of stay (days) for patients with DVT were 1.2, 1.6, and 9.1 compared to 0.89, 0.93, and 5.1 for all patients, respectively. In the active phase, 197 consecutive alerts met inclusion criteria, and 40 patients (20.3%) received a screening ultrasound. Five (12.5%) had a DVT and were started on therapeutic anticoagulation. Of patients with alerts who had screening deferred, 13 (8.3%) were later diagnosed with DVT (median 50.5 days) and 7 (4.5%) with PE. CONCLUSION: An automated alert may have value in early detection of DVT in high-risk cancer patients leading to earlier intervention, and could potentially prevent VTE-related morbidity.