Venous Thromboembolism in Brain Tumor Patients

Effects of ulinastatin therapy in deep vein thrombosis prevention after brain tumor surgery: A single-center randomized controlled trial

BACKGROUND

Venous thromboembolism (VTE) is a common neurosurgical complication after brain tumor resection, and its prophylaxis has been widely studied. There are no effective drugs in the clinical management of venous thromboembolism, and there is an absence of evidence-based medicine concerning the treatment of severe multiple traumas.

AIM

To explore whether ulinastatin (UTI) can prevent VTE after brain tumor resection.

METHODS

The present research included patients who underwent brain tumor resection. Patients received UTIs (400,000 IU) or placebos utilizing computer-based random sequencing (in a 1:1 ratio). The primary outcome measures were the incidence of VTE, coagulation function, pulmonary emboli, liver function, renal function, and drug-related adverse effects.

RESULTS

A total of 405 patients were evaluated between January 2019 and December 2021, and 361 of these were initially enrolled in the study to form intention-to-treat, which was given UTI (n = 180) or placebo (n = 181) treatment in a random manner. There were no statistically significant differences in baseline clinical data between the two groups. The incidence of VTE in the UTI group was remarkably improved compared with that in the placebo group. UTI can improve coagulation dysfunction, pulmonary emboli, liver function, and renal function. No significant difference was identified between the two groups in the side effects of UTI-induced diarrhea, vomiting, hospital stays, or hospitalization costs. The incidence of allergies was higher in the UTI group than in the placebo group.

CONCLUSION

The findings from the present research indicated that UTI can decrease the incidence of VTE and clinical outcomes of patients after brain tumor resection and has fewer adverse reactions.

Management of Thromboembolic Disease in Patients with Primary and Metastatic Brain Tumors

OPINION STATEMENT

Patients with primary brain tumors are at a substantially elevated risk of venous thromboembolism (VTE) compared to other disease states or other forms of malignancy. Deep venous thrombosis (DVT) and pulmonary embolism (PE), often complicate the care of patients with primary brain tumors, and treatment may pose specific unique risks and considerations for management. This paper critically reviews the relevant literature and the most common treatment options in addition to a discussion regarding the relative risk considerations for neurooncology patients facing thromboembolic disease.

Prognostic nomogram for predicting lower extremity deep venous thrombosis in ruptured intracranial aneurysm patients who underwent endovascular treatment

Background

Lower extremity deep vein thrombosis (DVT) is one of the major postoperative complications in patients with ruptured intracranial aneurysms (RIA) who underwent endovascular treatment (EVT). However, patient-specific predictive models are still lacking. This study aimed to construct and validate a nomogram model for estimating the risk of lower extremity DVT for RIA patients who underwent EVT.

Methods

This cohort study enrolled 471 RIA patients who received EVT in our institution between 1 January 2020 to 4 February 2022. Perioperative information on participants is collected to develop and validate a nomogram for predicting lower extremity DVT in RIA patients after EVT. Predictive accuracy, discriminatory capability, and clinical effectiveness were evaluated by concordance index (C-index), calibration curves, and decision curve analysis.

Result

Multivariate logistic regression analysis showed that age, albumin, D-dimer, GCS score, middle cerebral artery aneurysm, and delayed cerebral ischemia were independent predictors for lower extremity DVT. The nomogram for assessing individual risk of lower extremity DVT indicated good predictive accuracy in the primary cohort (c-index, 0.92) and the validation cohort (c-index, 0.85), with a wide threshold probability range (4-82%) and superior net benefit.

Conclusion

The present study provided a reliable and convenient nomogram model developed with six optimal predictors to assess postoperative lower extremity DVT in RIA patients, which may benefit to strengthen the awareness of lower extremity DVT control and supply appropriate resources to forecast patients at high risk of RIA-related lower extremity DVT.

Machine learning prediction of venous thromboembolism after surgeries of major sellar region tumors

PURPOSE

To describe and predict the risk of venous thromboembolism (VTE) after surgical resection of major sellar region tumors.

METHOD

Patients with sellar region tumors were identified from a database. The outcome was VTE, including deep vein thrombosis (DVT) and pulmonary embolism (PE) within 60 days after surgery. We trained regression and machine learning models to predict the outcome using baseline characteristics, surgical findings and postoperative laboratory tests.

RESULTS

Among 3818 patients included, 124 patients developed VTE after surgery. The total 60-day VTE incidence was 3.2 %, with incidence peak within ten days after the surgery. The risk increased in patients >65 years old (OR 2.96, p < 0.001), in patients with chordoma (OR 3.40, p = 0.006) or craniopharyngioma (OR 1.86, p = 0.036), in patients underwent craniotomy approach (OR 2.78, p = 0.017), in patients with high volume CSF leakage (OR 4.24, p < 0.001), and in patients with longer surgical duration (OR 1.78, p = 0.029). The linear discriminant analysis algorithm had the highest AUC (0.869, 95%CI, 0.840-0.898) in predicting the outcome. The specificity, accuracy, and sensitivity of the best model were 61.8 %, 93.6 %, and 92.8 %, respectively. Risk stratification using our best model suggested that 1.3 % and 24.5 % of the patient developed VTE in the low-risk group and in the high-risk group, respectively. We developed an online decision-support tool available on https://deepvep.shinyapps.io/VTEpred/.

CONCLUSION

The overall incidence of VTE after surgical resection of major sellar region tumors was clinically significant, especially in older patients with chordoma or craniopharyngioma.

A nomogram model to predict the acute venous thromboembolism risk after surgery in patients with glioma

INTRODUCTION

Postoperative venous thromboembolism (VTE) is a common complication for glioma patients, with an incidence rate of about 20 %. The purpose of this study was to explore the risk factors of acute VTE after glioma surgery, which may provide an essential reference for clinical guidance on the prevention of acute VTE.

MATERIALS AND METHODS

A total of 435 patients who underwent glioma surgery from 2012 to 2021 were included in this study. Duplex ultrasonography was performed routinely 3-5 days after the surgery to define VTE. Univariate and multivariate logistic regression analyses were performed to explore the independent predictor of acute VTE after glioma surgery and use these selected risk factors to construct and validate a nomogram.

RESULTS

Several risk factors for predicting acute VTE after glioma surgery were identified and used to build the nomogram: age, operation time, systemic immune-inflammation index (SII), hypertension, and diabetes mellitus. The area under the curve of the nomogram was 0.834, indicating good discrimination. Hosmer-Lemeshow of the calibration curve was 3.05 (P = 0.98), showing a high degree of agreement between the prediction and actual outcome. Decision curve analysis indicated that the nomogram model was helpful when the incidence of VTE was 5-80 %.

CONCLUSIONS

A nomogram to predict acute VTE after glioma surgery was constructed and validated. Clinicians can use this predictive model to achieve risk assessment and take different treatment measures to prevent acute postoperative VTE and improve patients' quality of life effectively.

Incidence, and preoperative and intraoperative prognostic factors of deep venous thrombosis in patients with glioma following craniotomy

OBJECTIVES

The aim of this study was to investigate the incidence of deep vein thrombosis (DVT) and the preoperative and intraoperative risk factors associated with DVT in glioma patients METHODS: We conducted a retrospective analysis of data obtained from glioma patients at Sanbo Hospital (Beijing, China) between 2018 and 2021. Symptomatic DVT was confirmed by Doppler ultrasonography. Multivariable logistic regression analysis was used to identify preoperative and intraoperative characteristics associated with DVT. Basic clinical variables and laboratory results were analyzed.

RESULTS

A total of 492 glioma patients were included. Of these, 73 (14.84%) developed DVT, and three (0.61%) developed DVT and pulmonary embolism (PE). Multivariate analyses revealed that the following factors were highly predictive of post-operative DVT: older age ranges of 46--55 years (odds ratio [OR]: 2.94; 95% confidence interval [CI]: 1.41--6.13; p = 0.004), 56--65 years (OR: 7.86; 95% CI: 3.63--17.03; p < 0.001), and > 65 years (OR: 4.94; 95% CI: 1.83--13.33; p = 0.002); partial thromboplastin time (APTT; OR: 0.91; 95% CI: 0.84--1.00; p = 0.040); D-dimer (OR: 2.21; 95% CI: 1.28--3.82; p = 0.005); and surgery duration (OR: 2.87; 95% CI: 1.6 --5.07; p < 0.001) CONCLUSIONS: Older age, preoperative APTT, D-dimer, and surgery duration independently increased the risk of developing postoperative DVT. These findings may facilitate the development of a thrombosis risk score that will allow physicians to develop individualized strategies to prevent DVT as early as possible.

Glycemia and venous thromboembolism in patients with primary brain tumors - A speculative review

Venous thromboembolism (VTE) is a significant public health issue causing severe morbidity and mortality. One of the most vulnerable populations for VTE development are cancer patients. And among them, patients with brain tumors have arguably the highest risk of developing this often fatal complication. Hyperglycemia is a well-known factor which leads to a wide variety of pro-thrombotic changes. In this article, we review the current literature on the topic of VTE in brain tumor patients. We also discuss the known correlation between VTE and glycemia, as well as the importance and frequency of glycemia dysregulation in brain tumor patients. Based on the already well-known importance of glucose metabolism in cancer patients, as well as the previous research of our group, we hypothesize that there is a significant number of brain tumor patients who have chronically elevated glycemia, a fact that so-far hasn't been reported. We argue that these patients carry a significantly higher risk of VTE development and would benefit greatly from strict glycemic control. We present our hypothesis, the ways in which to test it, as well as the possible counter-arguments against it. Our hope is that other investigators will be inspired by our article to continue this type of research, since we consider the topic of VTE in brain tumor patients highly important and urgent, primarily due to its prevalence and severity.

Preoperative and intraoperative predictors of deep venous thrombosis in adult patients undergoing craniotomy for brain tumors: A Chinese single-center, retrospective study

PURPOSE

Brain tumor resection by craniotomy is associated with a high risk of deep vein thrombosis (DVT). This study evaluated the incidence and preoperative and intraoperative risk factors for DVT within 30 days of surgery.

METHODS

The analysis included: 1) basic clinical variables (patient age, sex, body mass index [BMI], tumor location, and tumor histology); 2) blood test results before operation, such as leukocytes, platelets, and coagulation parameters; and 3) surgical factors (total amount of blood lost, anesthesia mode, and surgery duration).

RESULTS

Of the 1670 patients, 206 (12.34%) had DVT and nine (0.54%) had both DVT and pulmonary embolism (PE) after surgery. Preoperative and intraoperative factors independently associated with DVT/PE were: older age 46-55 years (odds ratio [OR]: 2.87; 95% confidence interval [CI]: 1.83-4.50; P < 0.001), age 56-65 years (OR: 5.24; 95% CI: 3.27-8.40; P < 0.001), age > 65 years (OR: 6.00; 95% CI: 3.45-10.45; P < 0.001), BMI (OR: 1.03; 95% CI: 1.00-1.05; P = 0.029), activated partial thromboplastin time [APTT] (OR: 0.91; 95% CI: 0.86-0.95; P = 0.000), D-dimer (OR: 1.69; 95% CI: 1.23-2.34; P = 0.001), high-grade glioma (OR: 2.09; 95% CI: 1.28-3.40; P = 0.003), glio-neuronal (OR: 3.30; 95% CI: 1.28-8.47; P = 0.013), craniopharyngioma (OR: 2.16; 95% CI: 1.13-4.10; P = 0.019), and surgery duration (OR: 1.82; 95% CI: 1.27-2.60; P = 0.001).

CONCLUSIONS

Older age, BMI, preoperative APTT, D-dimer, tumor histology, and surgery duration independently increased the risk of developing postoperative DVT/PE. These findings provide prognostic information that will guide therapies aimed at minimizing the development of DVT/PE during hospitalization.

Assessment of genetic and non-genetic risk factors for venous thromboembolism in glioblastoma - The predictive significance of B blood group

INTRODUCTION

Venous thromboembolism (VTE) is a common problem among patients with glioblastoma multiforme (GBM) and with some other cancers. Here, we evaluated genetic and non-genetic potential risk factors for VTE among GBM patients.

MATERIALS AND METHODS

A cohort of 139 patients treated with concomitant radiotherapy and temozolomide were included in the study. Next generation sequencing and genotyping approaches were applied to assess genetic risk factors in the haemostatic system. Clinical data including surgery, reoperation as well as blood group and patient information such as age and gender were available from patient records. Logistic regression analysis was performed to asses VTE risk.

RESULTS

In the study 47 patients (34%) were diagnosed for VTE during the course of their disease. When genetic and non-genetic potential risk factors were evaluated, only B blood group was found to be significantly associated with VTE incidence (odds ratio [OR] = 6.91; confidence interval [CI] = 2.19-24.14; P = 0.001). In contrast, A and O blood groups did not correlate with VTE risk. Frontal lobe tumor location also seemed to slightly increase VTE risk compared to other brain sites (OR = 3.14; CI = 1.1-10.7) although the significance level was at borderline (P = 0.05). Current study identified B blood group as the component in non-O blood groups that is responsible for increased VTE risk.

CONCLUSION

In conclusion, these results suggest for the first time that B blood group is predictive for VTE incidence among patients with glioblastoma, information that may be potentially valuable when selecting GBM patients who are at risk for VTE for anticoagulant prophylaxis.

Single cell coagulomes as constituents of the oncogene-driven coagulant phenotype in brain tumours

Molecular profiling of human cancers revealed a startling diversity in disease-causing mechanisms superseding histological and anatomical commonalities. The emerging molecular subtypes and disease entities are often driven by distinct oncogenic pathways and their effectors, including those acting extracellularly on the vascular and coagulation systems. Indeed, several oncogenic mutations such as those affecting protein-coding genes (RAS, EGFR, PTEN, TP53) and non-coding RNA (microRNA) regulate multiple effectors of the coagulation system (coagulome), including tissue factor, protease activated receptors, clotting factors, mediators of platelet function and fibrinolysis. This is exemplified by differential coagulome profiles in the molecular subtypes of glioblastoma, medulloblastoma and other human tumours. There is mounting clinical evidence that the mutational status of cancer driver genes such as KRAS or IDH1 may influence the risk of venous thromboembolism in patients with colorectal, lung or brain cancers. Notably, single cell sequencing in glioblastoma revealed a remarkable intra-tumoural heterogeneity of cancer cell populations with regard to their individual coagulomes, suggesting a combinatorial and dynamic nature of the global pro-thrombotic phenotype. We suggest that the cellular complexity of specific cancers may define their mechanisms of interactions with the coagulation system, and the risks of thrombosis. Thus, more biologically- based, disease-specific and personalized approaches may be needed to diagnose and manage cancer-related thrombosis.