Overview of risk assessment models for venous thromboembolism in ambulatory patients with cancer

Cancer-associated thrombosis: What about microRNAs targeting the tissue factor coagulation pathway?

Cancer patients are often diagnosed with venous thromboembolism (VTE), a cardiovascular disease that substantially decreases their quality of life and survival rate. Haemostasis in these patients is deregulated, which is reflected in the common presentation of a blood hypercoagulation state. Despite the inconsistent results, existing evidence suggests that the expression of microRNAs (miRNAs) is deregulated in the context of venous thrombogenesis in the general population. However, few miRNAs are known to be linked to cancer-associated VTE due to the lack of studies with oncological patients. Parallelly, coagulation factor III, also known as tissue factor (TF), tissue factor pathway inhibitor 1 (TFPI1) and tissue factor pathway inhibitor 2 (TFPI2) have been proposed to have a central role in cancer-associated VTE and tumour progression. Yet, contrary to what was expected, the role of miRNAs targeting the TF coagulation pathway (or extrinsic coagulation pathway) is poorly explored in cancer-induced thrombogenesis. In this review, in addition to miRNAs implicated in VTE, TF and TFPI1/2-targeting miRNAs were revised. Future studies should clarify the implications of these non-coding RNAs in tumour coagulome.

COMPASS-CAT versus Khorana risk assessment model for predicting venous thromboembolic events in patients with non-small cell lung cancer on active treatment with chemotherapy and/or immunotherapy, the CK-RAM study

Cancer patients are at higher risk for venous thromboembolism (VTE). Several risk assessment models (RAM), including the Khorana and COMPASS-CAT, were developed to help predict the occurrence of VTE in cancer patients on active anti-cancer therapy. We aim to study the prevalence and predictors of VTE among patients with non-small cell lung cancer (NSCLC) and compare both RAMs in predicting VTE in patients with NSCLC were retrospectively reviewed. Variables known to increase the risk of VTE were collected and risk of VTE was assessed using both Khorana and COMPASS-CAT RAM. A total of 508 patients (mean age ± SD, 58.4 ± 12.2 years) were enrolled. Most (n = 357, 70.3%) patients had adenocarcinoma, and 333 (65.6%) patients had metastatic disease. VTE were confirmed in 76 (15.0%) patients. Rates were higher among patients with metastatic disease (19.8%, p < 0.001), adenocarcinoma (17.4%, p = 0.01) and those treated with immunotherapy (23.5%, p = 0.014). VTE rates were 21.2%, 14.1% and 13.9% among those with high (n = 66), intermediate (n = 341) and low (n = 101) Khorana risk scores, respectively (p = 0.126). On the other hand, 190 (37.4%) were classified as high risk by the COMPASS-CAT RAM; 52 (27.4%) of them had VTE compared to 24 (7.5%) of the remaining 318 (62.6%) classified as Low/Intermediate risk level, p < 0.001. In conclusion, patients with NSCLC are at high risk for VTE, especially those with adenocarcinoma, metastatic disease and when treated with immunotherapy. Compared to Khorana RAM, COMPASS-CAT RAM was better in identifying more patients in high-risk group, with higher VTE rate.

A New Risk Prediction Model for Venous Thromboembolism and Death in Ambulatory Lung Cancer Patients

(1) Background: Venous thromboembolism (VTE) is a frequent complication in ambulatory lung cancer patients during chemotherapy and is associated with increased mortality. (2) Methods: We analyzed 568 newly diagnosed metastatic lung cancer patients prospectively enrolled in the HYPERCAN study. Blood samples collected before chemotherapy were tested for thrombin generation (TG) and a panel of hemostatic biomarkers. The Khorana risk score (KRS), new-Vienna CATS, PROTECHT, and CONKO risk assessment models (RAMs) were applied. (3) Results: Within 6 months, the cumulative incidences of VTE and mortality were 12% and 29%, respectively. Patients with VTE showed significantly increased levels of D-dimer, FVIII, prothrombin fragment 1 + 2, and TG. D-dimer and ECOG performance status were identified as independent risk factors for VTE and mortality by multivariable analysis and utilized to generate a risk score that provided a cumulative incidence of VTE of 6% vs. 25%, death of 19% vs. 55%, and in the low- vs. high-risk group, respectively (p < 0.001). While all published RAMs significantly stratified patients for risk of death, only the CATS and CONKO were able to stratify patients for VTE. (4) Conclusions: A new prediction model was generated to stratify lung cancer patients for VTE and mortality risk, where other published RAMs failed.

Primary prevention of cancer-associated venous thrombosis: Rationale and challenges in clinical practice

Cancer-associated venous thrombosis (CAT) is a common, multifactor event known to complicate the course of cancer and jeopardize a patient's prognosis. The current guidelines regarding the prevention of CAT are sometimes considered insufficiently precise about specific situations, or are poorly applied. The expected benefits of thromboprophylaxis are balanced by the risk of major bleeding induced by anticoagulation, which implies a need to accurately identify ambulatory patients at high risk of thrombosis or hemorrhage. The Khorana score is commonly used for this, but is limited by the non-reproducibility of predicted performance across cancer types, and by the fact that antitumor treatment and cardiovascular risks are not included. The COMPASS-CAT score, which includes those two aspects, was found to be a more accurate predictor of venous thromboembolism in patients with lung cancer, and to better distinguish between patients at low or high risk of thrombosis. The frailty of patients with cancer is also a major issue, and should be taken into account when thromboprophylaxis is considered. According to current guidelines, CAT prophylaxis should be considered for hospitalized patients, those for whom surgery is scheduled, or those with pancreatic cancers. In ambulatory patients, decisions should be made according to patient, cancer and antitumoral treatment characteristics. Low molecular weight heparin is the gold standard of CAT prophylaxis. Despite increased risks of bleeding or drug-drug interactions in cancer patients, direct oral anticoagulants could be alternate options for high-risk ambulatory patients that should be accompanied by a careful global analysis of benefits, harms, and patient preferences.

Interleukin-10 levels and the risk of thromboembolism according to COMPASS-Cancer associated thrombosis score in breast cancer patients prior to undergoing doxorubicin-based chemotherapy

Venous thromboembolism (VTE) is an important cause of morbidity/mortality in cancer patients, and COMPASS-CAT score must be used to VTE-risk prediction. There is a relationship between cytokines and thrombus formation and/or resolution. This study aimed to investigate the VTE risk and cytokines level in breast cancer patients prior to chemotherapy with doxorubicin (DOXO). Eighty women with breast cancer and indication for DOXO treatment were selected. TNF, IL-1β, IL-6, and IL-10 were measured after the diagnosis and immediately before DOXO treatment. All 80 patients presented a high risk for VTE when evaluated by COMPASS-CAT model (score ≥7). A positive correlation was observed between IL-10 plasma levels and VTE risk score. Our data showed that higher IL-10 levels before chemotherapy are associated to increased risk of VTE in breast cancer patients. This finding suggests that IL-10 levels and the combination with COMPASS-CAT score could be good markers to predict increased risk of VTE in these patients.

The Detection of Hypercoagulability in Patients with Acute Cerebral Infarction Using a Clot Waveform Analysis

A few studies concerning hypercoagulable states have sufficiently been reported in patients with acute cerebral infarction (ACI), as ACI is generally considered to be caused by platelet activation. Clot waveform analyses (CWA) for activated partial thromboplastin time (APTT) and small amount of tissue factor FIX activation assay (sTF/FIXa) were examined in 108 patients with ACI, 61 patients without ACI, and 20 healthy volunteers. CWA-APTT and CWA-sTF/FIXa showed that the peak heights were significantly higher in ACI patients without anticoagulant therapy than in healthy volunteers. Absorbance exceeding 78.1 mm on the 1^st DPH in the CWA-sTF/FIXa showed the highest odds ratio for ACI. The peak heights were significantly lower in the CWA-sTF/FIXa of ACI patients receiving argatroban therapy than in those of ACI patients without anticoagulant therapy. CWA can suggest a hypercoagulable state in ACI patients and may be useful for monitoring the need for anticoagulant therapy.

Venous Thromboembolism in Women with Cancer with an Additional Focus on Breast and Gynecological Cancers

Cancer-associated venous thromboembolism (VTE) is common in women with cancer. Many clinical practice guidelines provide guidance for prevention and treatment; however, there are no specific recommendations for women. This is unfortunate because the proportion of women with breast- and gynecological cancers is high among patients with cancer-associated VTE. Thromboembolism often heralds cancer progression and poor prognosis and should—besides adequate anticoagulant management—also prompt reassessment and, if necessary, changes in cancer treatment. Recently, the new class of direct-acting oral anticoagulants (DOACs) has started to replace low-molecular-weight heparin as standard thromboprophylaxis and therapy in cancer patients. They are very effective, but they also carry a relevant risk of bleeding. Therefore, despite their ease of use, not every tumor patient qualifies for a DOAC, and this is especially true for gynecological tumor patients. Each prescription must be weighed individually. This review addresses specific aspects of VTE prophylaxis and management in women with cancer. Every physician who treats breast and gynecological cancers should be familiar with prophylaxis, diagnosis, and therapy of cancer-associated VTE. At the same time, patients should be informed by their physician what symptoms to look for and whom to contact if these symptoms occur, even outside of office hours and on weekends.

The Efficacy of the Systemic Immune-Inflammation Index and Prognosis Nutritional Index for the Diagnosis of Venous Thromboembolism in Gastrointestinal Cancers

Purpose

This study aimed to analyze the association between venous thromboembolism (VTE) and inflammatory markers like systemic immune-inflammation index (SII) and prognosis nutritional index (PNI), and to evaluate their efficacy for the diagnosis of VTE in patients with gastrointestinal malignancies.

Patients and Methods

A total of 1326 patients with the initial diagnosis of gastrointestinal cancer in the First Affiliated Hospital of Anhui Medical University (AHMU) were enrolled in the training cohort. Univariate and multivariate analysis was used to pinpoint independent predictors of VTE, which were eventually visualized as the nomogram models. The Akaike Information Criterion (AIC) was used to screen the best model. The receiver operating characteristic curve (ROC) and the clinical decision curve analysis (DCA) were utilized to evaluate the models’ predictive performance in the training queue and another external sample of 250 patients at the Second Affiliated Hospital of AHMU.

Results

A total of 476 patients were complicated with VTE in the training cohort. Multifactorial analysis of clinical characteristics and inflammatory markers showed that PNI, SII, age, tumor location, and therapy were independent risk factors of VTE, visualized as model A. Another model B was constructed by adding coagulation markers to the previous analysis. Model B was the best prediction model with the minimum AIC value, followed by model A with an AUC of 0.806 (95% CI 0.782~0.830) which was similar to model B’s 0.832 (95% CI 0.810~0.855) but significantly higher than the currently widely used Khorana score’s 0.592 (95% CI 0.562~0.621) and the CATS score’s 0.682 (95% CI 0.653~0.712). The external verification yielded similar findings, with the AUC being 0.792 (95% CI 0.734~0.851), 0.834 (95% CI 0.778~0.890), 0.655 (95% CI 0.582~0.729), and 0.774 (95% CI 0.699~0.849) respectively. The DCA curves demonstrated that new models had excellent usefulness in screening patients with a high VTE risk.

Conclusion

The SII and PNI were simple and viable inflammatory markers associated with VTE, and the nomogram based on them and clinical features had a meaningful clinical utility for VTE in patients with gastrointestinal malignancies.

Validation of the Khorana score for predicting venous thromboembolism in 40 218 cancer patients initiating chemotherapy

The Khorana score is recommended for guiding primary venous thromboembolism prophylaxis in cancer patients, but its clinical utility overall and across cancer types remains debatable. Also, some previous validation studies have ignored competing risk of death, hereby potentially overestimating venous thromboembolism risk. We identified ambulatory cancer patients initiating chemotherapy without other indications for anticoagulation using Danish health registries and estimated six-month cumulative incidence of venous thromboembolism stratified by Khorana levels. Analyses were conducted with and without considering death as competing risk using the Kaplan-Meier method versus the cumulative incidence function. Analyses were performed overall and stratified by cancer types. Of 40,218 patients, 35.4% were categorized by Khorana as low risk (score 0), 53.6% as intermediate risk (score 1-2) and 10.9% as high risk (score ≥3). Considering competing risk of death, the corresponding six-month risks of venous thromboembolism were 1.5% (95% CI 1.3-1-7), 2.8% (95% CI 2.6-3.1), and 4.1% (95% CI 3.5-4.7), respectively. Among patients recommended anticoagulation by guidelines (Khorana score ≥2), six-month risk was 3.6% (95% CI 3.3-3.9). Kaplan-Meier analysis overestimated incidence up to 23% compared with competing risk analyses. Using the guideline-recommended threshold of ≥2, the Khorana score did not risk stratify patients with hepatobiliary or pancreatic cancer, lung cancer, and gynecologic cancer. In conclusion, the Khorana score was able to stratify ambulatory cancer patients according to risk of venous thromboembolism, but not for all cancer types. Absolute risks varied by methodology but were lower than in key randomized trials. Thus, although certain limitations with outcome identification using administrative registries apply, the absolute benefit of implementing routine primary thromboprophylaxis in an unselected cancer population may be smaller than seen in randomized trials.

Optimal authoritative risk assessment score of Cancer-associated venous thromboembolism for hospitalized medical patients with lung Cancer

Background

Cancer-associated venous thromboembolism (VTE) is common in patients with primary lung cancer. It has been understudied which authoritative risk assessment score of cancer-associated VTE is optimal for the assessment of VTE development in hospitalized medical patients with lung cancer.

Methods

Patients with lung cancer who had undergone computed tomography pulmonary angiography (CTPA), compression ultrasonography (CUS) of lower and upper extremities, and/or planar ventilation/perfusion (V/Q) scan to confirm the presence or absence of VTE during a medical hospitalization were retrospectively reviewed. Based on the actual prevalence of VTE among all patients, the possibility of VTE were reassessed with the Khorana score, the PROTECHT score, the CONKO score, the ONKOTEV score, the COMPASS-CAT score, and the CATS/MICA score, to compare their assessment accuracy for VTE development.

Results

A total of 1263 patients with lung cancer were incorporated into the final analysis. With respect to assessment efficiency for VTE occurrence, the scores with adjusted agreement from highest to lowest were the ONKOTEV score (78.6%), the PROTECHT score (73.4%), the CONKO score (72.1%), the COMPASS-CAT score (71.7%), the Khorana score (70.9%), and the CATS/MICA score (60.3%). The ONKOTEV score had the highest Youden index which was 0.68, followed by the PROTECHT score (0.58), the COMPASS-CAT score (0.56), the CONKO score (0.55), the Khorana score (0.53), and the CATS/MICA score (0.23).

Conclusions

Among the Khorana score, the PROTECHT score, the CONKO score, the ONKOTEV score, the COMPASS-CAT score, and the CATS/MICA score which are approved by authoritative guidelines, the ONKOTEV score is optimal for the assessment of VTE development in hospitalized medical patients with lung cancer.

A Clot Waveform Analysis Showing a Hypercoagulable State in Patients with Malignant Neoplasms

(1) Objective: hypercoagulability in patients with malignant neoplasm were evaluated to examine the relationship with thrombosis. (2) Methods: clot waveform analysis (CWA)—activated partial thromboplastin time (APTT) and CWA—small amount of tissue factor induced FIX activation (sTF/FIXa) assays were performed in 92 patients with malignant neoplasm and the relationship between hypercoagulability and thrombosis was retrospectively examined. (3) Results: The study population included 92 patients with malignant neoplasms. Twenty-six (28.3%) had thrombotic diseases and 9 (9.8%) patients died within 28 days after the CWA. The peak time of the CWA-APTT could not show hypercoagulability in patients with malignant neoplasms. There were almost no significant differences in the peak times of the sTF/FIXa among patients with malignant neoplasms and healthy volunteers. In contrast, the peak heights of the CWA-sTF/FIXa in patients with various malignant neoplasms were significantly higher than those in healthy volunteers. Furthermore, among patients with malignant neoplasms, the peak heights of the sTF/FIXa in patients with thrombosis were significantly higher than those in patients without thrombosis. (4) Conclusions: although the routine APTT cannot evaluate the hypercoagulability, the peak heights of CWA-sTF/FIXa were significantly high in patients with malignant neoplasms, especially in those with thrombosis, suggesting that an elevated peak height of the CWA-sTF/FIXa may be a risk factor for thrombosis.

Risk Factors and Prediction Models for Venous Thromboembolism in Ambulatory Patients with Lung Cancer

Venous thromboembolism (VTE) is a significant cause of mortality in patients with lung cancer. Despite the availability of a wide range of anticoagulants to help prevent thrombosis, thromboprophylaxis in ambulatory patients is a challenge due to its associated risk of haemorrhage. As a result, anticoagulation is only recommended in patients with a relatively high risk of VTE. Efforts have been made to develop predictive models for VTE risk assessment in cancer patients, but the availability of a reliable predictive model for ambulate patients with lung cancer is unclear. We have analysed the latest information on this topic, with a focus on the lung cancer-related risk factors for VTE, and risk prediction models developed and validated in this group of patients. The existing risk models, such as the Khorana score, the PROTECHT score and the CONKO score, have shown poor performance in external validations, failing to identify many high-risk individuals. Some of the newly developed and updated models may be promising, but their further validation is needed.

Cancer and Thrombosis: New Treatments, New Challenges

The direct-acting oral anticoagulant (DOAC) has become an alternative to low-molecular-weight heparin (LMWH) for treatment and prophylaxis of venous thromboembolism (VTE) in cancer patients. The clinicians are, however, faced with difficult decisions regarding DOAC treatment: Which patients cannot use DOACs? Should incidental VTE be treated similar to symptomatic VTE? Is it safe to give DOACs to patients with gastrointestinal or urogenital cancers? How about drug–drug interactions? Should all cancer patients receive thromboprophylaxis? Is arterial thrombosis a problem? The current article reviews the available literature regarding these questions and aims to provide practical solutions based on data from the clinical trials and new guidelines.