Acute Hospital Mortality of Venous Thromboembolism in Patients With Cancer From Registry Data

Analysis of thromboembolism and prognosis in metastatic pancreatic cancer from the Tokushukai REAl‑world data project

Cancer-associated thromboembolism (CAT), including venous thromboembolism (VTE) and arterial thromboembolism (ATE), is a frequent complication of advanced pancreatic cancer. However, reports on its incidence and clinical outcomes, especially on ATE, are limited. The present study aimed to investigate the incidence of CAT and its effects on overall survival in patients with metastatic pancreatic cancer. As part of the Tokushukai REAl-world data project in Japan, 846 eligible patients with metastatic pancreatic cancer treated with first-line chemotherapy were identified between April 2010 and March 2020. Using diagnosis procedure combination data from these patients, the present study investigated the incidence of VTE, ATE and cerebral and gastrointestinal bleeding requiring hospitalization. Blood laboratory data were collected within 14 days of the start of first-line treatment, and Khorana scores were calculated. The associations between CAT complications and comorbidities, concomitant medications and prognosis were examined. Among the 846 patients, 21 (2.5) and 70 (8.3%) had VTE and ATE, respectively (including five with overlapping VTE and ATE). CAT-positive patients had a significantly higher rate of gastrointestinal bleeding events compared with CAT-negative patients [13 of 86 (15.2%) vs. 46 of 760 (6.1%); P=0.01]. CAT-positive patients had a poorer prognosis [hazard ratio (HR), 1.28; 95% confidence interval (CI), 1.01-1.62] compared with CAT-negative patients, even after adjusting for background factors (HR, 1.20; 95% CI, 0.95-1.52). Cox regression analyses showed that higher Khorana scores were associated with significantly worse prognosis. This real-world data demonstrated that the incidence rate of CAT in patients with metastatic pancreatic cancer was 10.2%, and no statistically significant differences were observed, although there was a trend toward an adverse prognosis. The Khorana score may also be useful for predicting prognosis, even in the absence of CAT. This study was registered in the UMIN Clinical Trial Registry (http://www.umin.ac.jp/ctr/index.htm; clinical trial no. UMIN000050590).

Lung Cancer Related Thrombosis (LCART): Focus on Immune Checkpoint Blockade

Cancer-associated thrombosis (CAT) is a common complication in lung cancer patients. Lung cancer confers an increased risk of thrombosis compared to other solid malignancies across all stages of the disease. Newer treatment agents, including checkpoint immunotherapy and targeted agents, may further increase the risk of CAT. Different risk-assessment models, such as the Khorana Risk Score, and newer approaches that incorporate genetic risk factors have been used in lung cancer patients to evaluate the risk of thrombosis. The management of CAT is based on the results of large prospective trials, which show similar benefits to low-molecular-weight heparins (LMWHs) and direct oral anticoagulants (DOACs) in ambulatory patients. The anticoagulation agent and duration of therapy should be personalized according to lung cancer stage and histology, the presence of driver mutations and use of antineoplastic therapy, including recent curative lung surgery, chemotherapy or immunotherapy. Treatment options should be evaluated in the context of the COVID-19 pandemic, which has been shown to impact the thrombotic risk in cancer patients. This review focuses on the epidemiology, pathophysiology, risk factors, novel predictive scores and management of CAT in patients with active lung cancer, with a focus on immune checkpoint inhibitors.

Oncogenes and cancer associated thrombosis: what can we learn from single cell genomics about risks and mechanisms?

Single cell analysis of cancer cell transcriptome may shed a completely new light on cancer-associated thrombosis (CAT). CAT causes morbid, and sometimes lethal complications in certain human cancers known to be associated with high risk of venous thromboembolism (VTE), pulmonary embolism (PE) or arterial thromboembolism (ATE), all of which worsen patients' prognosis. How active cancers drive these processes has long evaded scrutiny. While "unspecific" microenvironmental effects and consequences of patient care (e.g., chemotherapy) have been implicated in pathogenesis of CAT, it has also been suggested that oncogenic pathways driven by either genetic (mutations), or epigenetic (methylation) events may influence the coagulant phenotype of cancer cells and stroma, and thereby modulate the VTE/PE risk. Consequently, the spectrum of driver events and their downstream effector mechanisms may, to some extent, explain the heterogeneity of CAT manifestations between cancer types, molecular subtypes, and individual cases, with thrombosis-promoting, or -protective mutations. Understanding this molecular causation is important if rationally designed countermeasures were to be deployed to mitigate the clinical impact of CAT in individual cancer patients. In this regard, multi-omic analysis of human cancers, especially at a single cell level, has brought a new meaning to concepts of cellular heterogeneity, plasticity, and multicellular complexity of the tumour microenvironment, with profound and still relatively unexplored implications for the pathogenesis of CAT. Indeed, cancers may contain molecularly distinct cellular subpopulations, or dynamic epigenetic states associated with different profiles of coagulant activity. In this article we discuss some of the relevant lessons from the single cell "omics" and how they could unlock new potential mechanisms through which cancer driving oncogenic lesions may modulate CAT, with possible consequences for patient stratification, care, and outcomes.

Factors associated with in-hospital and outpatient survival of patients with different types of stage IV cancer and venous thromboembolism

OBJECTIVE

To identify factors associated with in-hospital and outpatient survival of patients with different types of stage IV cancer who present with venous thromboembolic disease (VTE).

METHODS

In this prospective cohort, in-hospital and outpatient survival rates up to 180 days were analyzed using Kaplan-Meier curves. Cox regression was used to identify factors associated with different survival functions.

RESULTS

One hundred patients were analyzed (median age, 67.5 years; 75% with Charlson index of <10; 69% with Eastern Cooperative Oncology Group (ECOG) score of 3-4). In-hospital mortality was 18%, and the median time from admission to death was 11 days (interquartile range, 1-61 days). Factors significantly associated with in-hospital mortality were the ECOG score and thrombocytopenia. The 180-day mortality rate was 52%, with deaths mainly occurring in the first 90 days since VTE diagnosis. Additional factors significantly associated with outpatient mortality included male sex and neoplasms with a high risk of thrombosis (lung, pancreas, stomach, uterus, bladder, and kidney neoplasms).

CONCLUSION

Patients with stage IV cancer and acute VTE have short survival. Poor prognostic factors are thrombocytopenia, the ECOG score, and certain types of cancer. These results may help physicians individualize decisions regarding initiation and continuation of anticoagulant therapy.

Current status of real-world big data research in the cardiovascular field in Japan

Real-world data (RWD) are observational data obtained by collecting, structuring, and accumulating patient information among the medical big data. RWD are derived from a variety of patient medical care and health information outside of conventional research data, and include electronic health records, claims data, registry data of disease, drug and device, health check-up data, and more recently, patient information data from wearable devices. They are currently being utilized in various forms for optimal medical care and real-world evidence (RWE) is constructed through a process of hypothesis generation and verification based on the RWD research. Together with classic clinical research and pragmatic trials, RWE shapes the learning healthcare system and contributes to the improvement of medical care. In the cardiovascular medical care of the current super-aged society, the need for a variety of RWE and the research is increasing, since the guidelines established over time and the medical care based on it cannot necessarily be the best in accordance with the current medical situation. In this review, we focus on the RWD and RWE studies in the cardiovascular medical field and outlines their current status in Japan. Furthermore, we discuss the potential for extending the studies and issues related to the use of medical big data and RWD.

The association between cancer diagnosis, care, and outcomes in 1 million patients hospitalized for acute pulmonary embolism

OBJECTIVES

To evaluate the clinical care provided to cancer patients hospitalized for acute pulmonary embolism (PE), as well as the association between type of cancer, in-hospital care, and clinical outcomes.

METHODS

This study examined the in-hospital care (systemic thrombolysis, catheter-directed thrombolysis, and surgical thrombectomy/embolectomy) and clinical outcomes (mortality, major bleeding, and hemorrhagic stroke) among adults hospitalized due to acute PE between October 2015 to December 2018 using the National Inpatient Sample (NIS). Multivariable logistic regression analysis was used to determine adjusted odds ratios (aOR) with 95% confidence interval (95% CI).

RESULTS

Of 1,090,130 hospital records included in the analysis, 216,825 (19.9%) had current cancer diagnoses, including lung (4.7%), hematological (2.5%), colorectal (1.6%), breast (1.3%), prostate (0.8%), and 'other' cancer (9.0%). Cancer patients had lower adjusted odds of receiving systemic thrombolysis, catheter-directed therapy, and surgical thrombectomy/embolectomy compared with their non-cancer counterparts (P < 0.001), except for systemic thrombolysis (aOR 0.96, 95% CI 0.85-1.09, P = 0.553) and catheter-directed therapy (aOR 0.82, 95% CI 0.67-1.00, P = 0.053) for prostate cancer. Cancer patients had greater odds of mortality (P < 0.05). Lung cancer patients had the highest odds of mortality (aOR 2.68, 95% CI 2.61-2.76, P < 0.001) and hemorrhagic stroke (aOR 1.75, 95% CI 1.61-1.90, P < 0.001), while colorectal cancer patients had the greatest odds of bleeding (aOR 2.04, 95% CI 1.94-2.15, P < 0.001).

CONCLUSION

Among those hospitalized for PE, cancer diagnoses were associated with lower odds of invasive management and poorer in-hospital outcomes, with metastatic status being an especially important determinant. Appropriateness of care could not be assessed in this study.

Impact of cancer on short-term in-hospital mortality after primary acute myocardial infarction

Background

Cardiovascular diseases are the second most common cause of mortality among cancer survivors, after death from cancer. We sought to assess the impact of cancer on the short-term outcomes of acute myocardial infarction (AMI), by analysing data obtained from a large-scale database.

Methods

This study was based on the Diagnosis Procedure Combination database in the Japanese Registry of All Cardiac and Vascular Diseases and the Diagnosis Procedure Combination. We identified patients who were hospitalised for primary AMI between April 2012 and March 2017. Propensity Score (PS) was estimated with logistic regression model, with cancer as the dependent variable and 21 clinically relevant covariates. The main outcome was in-hospital mortality.

Results

We split 1 52 208 patients into two groups with or without cancer. Patients with cancer tended to be older (cancer group 73±11 years vs non-cancer group 68±13 years) and had smaller body mass index (cancer group 22.8±3.6 vs non-cancer 23.9±4.3). More patients in the non-cancer group had hypertension or dyslipidaemia than their cancer group counterparts. The non-cancer group also had a higher rate of percutaneous coronary intervention (cancer 92.6% vs non-cancer 95.2%). Patients with cancer had a higher 30-day mortality (cancer 6.0% vs non-cancer 5.3%) and total mortality (cancer 8.1% vs non-cancer 6.1%) rate, but this was statistically insignificant after PS matching.

Conclusion

Cancer did not significantly impact short-term in-hospital mortality rates after hospitalisation for primary AMI.