Literature DB >> 35545894

Venous thromboembolic events in glioblastoma patients: An epidemiological study.

Amanda Eisele1, Katharina Seystahl1, Elisabeth J Rushing2, Patrick Roth1, Emilie Le Rhun1,3, Michael Weller1, Dorothee Gramatzki1.   

Abstract

BACKGROUND AND
PURPOSE: Venous thromboembolic events (VTEs) are a major complication in cancer patients, and therefore, also in brain cancer patients, anticoagulants are considered appropriate in the treatment of VTEs.
METHODS: Frequency, risk factors, and treatment of VTEs, as well as associated complications, were assessed in a population-based cohort of glioblastoma patients in the Canton of Zurich, Switzerland. Correlations between clinical data and survival were retrospectively analyzed using the log-rank test and Cox regression models.
RESULTS: Four hundred fourteen glioblastoma patients with isocitrate dehydrogenase wild-type status were identified. VTEs were documented in 65 patients (15.7%). Median time from tumor diagnosis to the occurrence of a VTE was 1.8 months, and 27 patients were diagnosed with VTEs postoperatively (within 35 days; 42.2%). History of a prior VTE was more common in patients who developed VTEs than in those who did not (p = 0.004). Bevacizumab treatment at any time during the disease course was not associated with occurrence of VTEs (p = 0.593). Most patients with VTEs (n = 61, 93.8%) were treated with therapeutic anticoagulation. Complications occurred in 14 patients (23.0%), mainly intracranial hemorrhages (n = 7, 11.5%). Overall survival did not differ between patients diagnosed with VTEs and those who had no VTE (p = 0.139). Tumor progression was the major cause of death (n = 283, 90.7%), and only three patients (1.0%) died in association with acute VTEs.
CONCLUSIONS: Venous thromboembolic events occurred early in the disease course, suggesting that the implementation of primary venous thromboembolism prophylaxis during first-line chemoradiotherapy could be explored in a randomized setting.
© 2022 The Authors. European Journal of Neurology published by John Wiley & Sons Ltd on behalf of European Academy of Neurology.

Entities:  

Keywords:  VTE; anticoagulation; bleeding; epidemiology; glioblastoma

Mesh:

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Year:  2022        PMID: 35545894      PMCID: PMC9543144          DOI: 10.1111/ene.15404

Source DB:  PubMed          Journal:  Eur J Neurol        ISSN: 1351-5101            Impact factor:   6.288


INTRODUCTION

Patients diagnosed with primary brain tumors have a high risk for venous thromboembolic events (VTEs), reported in a range of 14%–32% [1, 2, 3, 4, 5, 6]. The incidence of VTEs is high throughout the course of disease [2], but seems to peak in the first 6 months after diagnosis [7]. Recurrent VTEs may be seen in one third of patients diagnosed with glioblastoma [3]. Risk factors for VTEs in brain tumor patients include immobility, higher age, obesity, comorbidities, history of VTEs, subtotal tumor resection, glioblastoma histology, and recurrent disease [8, 9]. Bevacizumab appears not to increase the risk of VTEs in glioblastoma patients [8, 10, 11, 12]. The association of blood group with VTEs in glioma patients has been discussed controversially. Whereas B blood group was found to be predictive for VTEs in a cohort of 139 glioblastoma patients [13], this was not confirmed in a prospective study of patients diagnosed with glioma, including glioblastoma [7]. Elevated factor VIII levels [7] and low platelets or high leukocytes [14] have been reported to increase the risk of VTEs in glioblastoma patients. Moreover, podoplanin expression by primary brain tumors induces platelet aggregation and is associated with increased risk of VTEs [15]. Recommendations for prophylaxis and treatment of VTEs in patients diagnosed with primary brain tumors are based largely on extrapolation from patients with other tumors and consensus [8, 16]. Primary venous thromboembolism prophylaxis in the ambulatory setting is not recommended but should be considered for hospitalized patients [17]. Low‐molecular‐weight heparin (LMWH) should be chosen as the first‐line venous thromboembolism prophylaxis and initiated within 24 h after brain surgery [8, 18]. A single prospective randomized study (PRODIGE trial) on primary prophylaxis with LMWH for VTEs in patients with primary brain tumors, including glioblastoma, noticed a trend toward reduced VTEs, but the trial was stopped prematurely [19]. Prophylactic anticoagulant use is associated with increased risk of bleeding in glioblastoma patients [19, 20, 21]. Therapeutic doses of LMWH are recommended for the treatment of VTEs. Direct oral anticoagulants (DOACs) should not be routinely used in glioblastoma patients, given the lack of data from clinical trials in this population. The duration of therapeutic anticoagulation for treatment of VTEs should be at least 6 months. In an analysis of three randomized trials including patients with newly diagnosed glioblastoma, therapeutic anticoagulation initiated between the start of concomitant temozolomide with radiotherapy and the start of maintenance temozolomide therapy was associated with inferior survival [22]. It is unclear whether VTEs in these patients contributed to inferior survival. No association with survival was observed in patients treated with prophylactic doses of anticoagulants or with antiplatelet agents [22]. VTEs are associated with inferior survival in cancer patients [23]. It has remained unclear whether there is an association between VTEs and survival in glioblastoma patients. Anticoagulants have been speculated to improve survival in cancer patients, not only by preventing VTEs, but also because of direct anticancer effects [24, 25, 26, 27, 28]. Data from two Cochrane reviews on cancer patients do not suggest a mortality benefit from oral or parenteral anticoagulation, respectively, and the risk for bleeding is likely increased [29, 30]. The association of VTEs, anticoagulant use, and its complications with survival in glioblastoma patients on a population‐based level remains unclear. Here, we performed a retrospective study of VTEs in 414 patients with isocitrate dehydrogenase (IDH) wild‐type glioblastoma, who were diagnosed over a 10‐year time frame in the Canton of Zurich, Switzerland.

PATIENTS AND METHODS

Patient identification

All patients, 18 years or older, who resided in the Canton of Zurich, Switzerland, and were diagnosed with glioblastoma between 2005 and 2014, were included in a glioblastoma cancer registry in the Canton of Zurich. Patient identification data were provided by the Cancer Registry of the Cantons of Zurich and Zug. Epidemiological data on this patient cohort were published previously [31, 32]. For the present analysis, we excluded all patients who lacked molecular data on IDH mutation status based on the 2021 World Health Organization (WHO) classification [33].

Disease characteristics

All tumors in the glioblastoma cancer registry had been classified according to the WHO 2007 criteria [34] in the local pathology departments, and in a second step were classified by IDH mutation status based on the WHO 2021 classification [33]. The O6‐methylguanine DNA methyltransferase (MGMT) promoter methylation status was determined by methylation‐specific polymerase chain reaction. IDH mutation status was assessed using IDH1‐R132H immunohistochemistry. According to WHO 2021 criteria, IDH1‐R132H‐negative glioblastomas in patients 55 years or older at diagnosis (n = 296) could be regarded as IDH wild‐type tumors without any additional sequencing [33]. In cases with available tissue (n = 66), IDH1‐R132H‐negative tumors in patients younger than 55 years were subjected to IDH1 and IDH2 sequence analyses. In 52 patients younger than 55 years, the IDH mutation status was obtained by immunohistochemistry only. Extent of resection was determined by early postoperative magnetic resonance imaging (MRI) or, if no MRI was available, by cranial computed tomography (CT). Macroscopic (gross) total resection was defined by the absence of contrast enhancement. Clinical and treatment data were extracted from medical records. History of cancer was defined by any cancer diagnosis, independent of histology or WHO grade. A history of intracranial bleeding or stroke was defined by any listed event in a medical report prior to the diagnosis of glioblastoma.

Statistical analyses

Demographic, clinical, molecular tumor marker and comedication data were analyzed by descriptive statistics. The chi‐squared test was performed for analysis of nominal variables, and the Mann–Whitney U test was used for the comparison of quantitative variables between groups. Overall survival (OS) was calculated from primary surgery for glioblastoma to death or last follow‐up. Patients were censored at last follow‐up. Kaplan–Meier curves were used to estimate OS, and differences were analyzed using the log‐rank test. Cox proportional hazards regression models were used for multivariate analyses to test the association of clinical and molecular markers, including the occurrence of VTEs, with survival. A time‐dependent term of VTEs considering the time from tumor diagnosis to VTE was included where indicated. All statistical analyses were performed using SPSS version 27 (IBM), and a p‐value of 0.05 was set as statistically significant.

Ethics

This study was approved by the ethics committee of the Canton of Zurich (KEK‐ZH‐Nr. 2009–0135/1; KEK‐ZH‐Nr. 2015–0437).

RESULTS

Patient characteristics

A total of 414 patients diagnosed with IDH wild‐type glioblastoma in the Canton of Zurich, Switzerland, were included in this study. Median follow‐up of surviving patients was 10.1 months (95% confidence interval [CI] = 5.2–13.2), assessed from the time of diagnosis. Patient characteristics are summarized in Table 1. Venous thromboembolic events were documented in 65 patients (15.7%) during the course of disease. In the cohort of patients diagnosed with VTEs (VTE cohort), 45 patients (69.2%) were male, compared to 216 male patients (61.9%) in the cohort of glioblastoma patients who were not diagnosed with VTEs (p = 0.260). Karnofsky performance status (KPS), extent of resection, MGMT promoter methylation status, and first‐line treatment did not differ between these two cohorts. Exposure to bevacizumab at any time was not associated with an increased risk of VTEs. History of intracranial hemorrhage or cerebrovascular stroke was similar in both groups, whereas history of VTEs was seen more often in the VTE cohort (n = 6, 9.2%) than in the control cohort (n = 8, 2.3%, p = 0.004; Table 1).
TABLE 1

Patient characteristics at baseline

CharacteristicNon‐VTE cohort, n = 349, 84.3%VTE cohort, n = 65, 15.7% p
Age, years a
Median63.059.70.065
Range18–9037–83
Sex, n
Male216 (61.9%)45 (69.2%)0.260
Female133 (38.1%)20 (30.8%)
KPS, n a
90%–100%54 (15.6%)6 (9.2%)0.299
70%–80%203 (58.7%)44 (67.7%)
<70%89 (25.7%)15 (23.1%)
No data3 (−)
Extent of surgical resection, n a
Gross total resection, ≥99%114 (32.8%)31 (47.7%)0.125
Incomplete resection, <99%155 (44.5%)21 (32.3%)
Biopsy78 (22.4%)13 (20.0%)
Autopsy1 (0.3%)
No data1 (−)
MGMT promoter methylation status, n
Methylated111 (45.7%)16 (34.8%)0.172
Unmethylated132 (54.3%)30 (65.2%)
No data106 (−)19 (−)
First‐line therapy, n
Radiotherapy plus TMZ170 (49.7%)38 (58.5%)0.336
Radiotherapy alone68 (19.9%)13 (20.0%)
Chemotherapy alone26 (7.6%)1 (1.5%)
Others b 22 (6.4%)5 (7.7%)
No therapy56 (16.4%)8 (12.3%)
No data7 (−)
Bevacizumab at any time during the disease, n
Yes123 (36.5%)26 (40.0%)0.593
No214 (63.5%)39 (60.0%)
No data12 (−)
History of cancer, n
Yes52 (15.0%)8 (12.3%)0.574
No295 (85.0%)57 (87.7%)
No data2 (−)
History of intracranial bleeding, n
Yes6 (1.7%)0 (0%)0.287
No343 (98.3%)65 (100%)
History of cerebrovascular stroke, n
Yes9 (2.6%)2 (3.1%)0.819
No340 (97.4%)63 (96.9%)
History of VTE, n
Yes8 (2.3%)6 (9.2%)0.004
No341 (97.7%)59 (90.8%)
Analyzed time frame
2005–2009141 (40.4%)30 (46.2%)0.387
2010–2014208 (59.6%)35 (53.8%)

Abbreviations: KPS, Karnofsky performance status; MGMT, O6‐methylguanine DNA methyltransferase; n, number of patients; TMZ, temozolomide; VTE, venous thromboembolic event.

At time of diagnosis.

Mainly experimental drugs in clinical trials or bevacizumab.

Patient characteristics at baseline Abbreviations: KPS, Karnofsky performance status; MGMT, O6‐methylguanine DNA methyltransferase; n, number of patients; TMZ, temozolomide; VTE, venous thromboembolic event. At time of diagnosis. Mainly experimental drugs in clinical trials or bevacizumab.

Characterization of the VTE cohort

Patient characteristics at time of VTE diagnosis are summarized in Table 2. Median time from tumor diagnosis to a VTE was 1.8 months. At the time of VTE diagnosis, patients commonly had reduced performance status. Most patients were on steroids (n = 39, 60.9%) and were overweight, with a body mass index (BMI) > 25 kg/m2 (n = 28, 63.6%). The majority of VTEs were observed within 35 days after initial surgery (n = 27, 42.2%). During first‐line treatment, an additional 18 patients (28.1%) were diagnosed with VTEs. A swimmer plot depicting the occurrence of VTEs for each patient of the VTE cohort over the time of the course of disease is shown in Figure 1. In patients experiencing VTEs later in the course of disease, essentially all occurred during phases of tumor‐specific treatment rather than in treatment‐free intervals.
TABLE 2

Patient characteristics at time of VTE

VTE cohort, n = 65 n (%)
Type of VTE
Deep vein thrombosis26 (40.6%)
Pulmonary embolism29 (45.3%)
Sinus vein thrombosis2 (3.1%)
Deep vein thrombosis plus pulmonary embolism7 (10.9%)
No data1 (−)
KPS
90%–100%10 (16.1%)
70%–80%17 (27.4%)
<70%35 (56.5%)
No data3 (−)
Steroids
Yes39 (60.9%)
No25 (39.1%)
No data1 (−)
BMI
Underweight, <18.5 kg/m2 1 (2.3%)
Normal weight, ≥18.5–24.9 kg/m2 15 (34.1%)
Overweight, ≥25–29.9 kg/m2 11 (25.0%)
Obese, ≥30 kg/m2 17 (38.6%)
No data21 (−)
Platelets
Normal level47 (78.3%)
Decreased level, CTCAE Grade ≥ 113 (21.7%)
No data5 (−)
Tumor status
Prior to first recurrence48 (75.0%)
After first recurrence16 (25.0%)
No data1 (−)
Disease phase
Postoperatively, ≤35 days27 (42.2%)
First‐line treatment18 (28.1%)
Second‐line treatment7 (10.9%)
Third‐line treatment5 (7.8%)
No tumor‐specific treatment, >35 days7 (10.9%)
No data1 (−)
Cotreatments
Radiotherapy, concomitant TMZ9 (14.1%)
Maintenance TMZ5 (7.8%)
Chemotherapy alone2 (3.1%)
Radiotherapy alone3 (4.7%)
Immune checkpoint inhibitor alone1 (1.6%)
Bevacizumab alone7 (10.9%)
Radiotherapy plus bevacizumab2 (3.1%)
Chemotherapy plus bevacizumab1 (1.6%)
No treatment34 (53.1%)
No data1 (−)
Antiplatelet treatment/anticoagulation at the time of VTE
Antiplatelet treatment3 (4.9%)
Prophylactic anticoagulation10 (16.4%)
Therapeutic anticoagulation0 (0.0%)
Antiplatelet treatment plus prophylactic anticoagulation2 (3.3%)
No treatment46 (75.4%)
No data4 (−)
Treatment of VTE
Prophylactic anticoagulation2 (3.1%)
LMWH2 (3.1%)
Therapeutic anticoagulation61 (93.8%)
LMWH29 (47.5%) a
DOAC4 (6.6%) a
Vitamin K antagonist21 (34.4%) a
Unfractionated heparin2 (3.3%) a
Vena cava filter/vitamin K antagonist5 (8.2%) a
No treatment2 (3.1%) [died immediately of VTE]
Complications from therapeutic anticoagulation for VTE
Intracranial hemorrhage7 (11.5%)
CTCAE Grade 23 (4.9%)
CTCAE Grade 34 (6.6%)
Subdural hematoma, CTCAE Grade 22 (3.3%)
Oral hemorrhage, CTCAE Grade 11 (1.6%)
Anal bleeding2 (3.3%)
CTCAE Grade 21 (1.6%)
CTCAE Grade 31 (1.6%)
Epistaxis, CTCAE Grade 21 (1.6%)
Gastrointestinal hemorrhage, CTCAE Grade 31 (1.6%)
No complication47 (77.0%)
Complications from what kind of therapeutic anticoagulation for VTE (percentage of n = 14 patients with complications, or percentage of the number of patients under the respective treatment)
LMWH, n = 196 (42.9%, 20.7%)
DOAC, n = 42 (14.3%, 50.0%)
Vitamin K antagonist, n = 214 (28.6%, 19.0%)
Unfractionated heparin, n = 21 (7.1%, 50.0%)
Vena cava filter/vitamin K antagonist, n = 51 (7.1%, 20.0%)
Time from tumor diagnosis to VTE
Months, median (SD; range)1.8 (13.3; 0.0–78.0)
Duration of anticoagulation after VTE
Months, median (SD; range)
All VTE patients with anticoagulation, n = 604.6 (8.4; 0.1–58.4)
Patients who had anticoagulation until death, n = 292.1 (4.0; 0.1–16.9)
Patients who stopped anticoagulation for other reasons, n = 316.4 (10.6; 0.7–58.4)
Reason for stopping anticoagulation after VTE (percentage of n = 61 patients with anticoagulation)
Death29 (47.5%)
Complication10 (16.4%)
Decision of the physician14 (22.9%)
Unknown8 (13.1%)
Recurrent VTE under anticoagulation (percentage of n = 61 patients with anticoagulation)
Failure rate2 (3.3%)
Median time to treatment failure, months (95% CI)12.4 (12.3–12.6)

Abbreviations: BMI, body mass index; CI, confidence interval; CTCAE, Common Terminology Criteria for Adverse Events; DOAC, direct oral anticoagulant; KPE, Karnofsky performance status; LMWH, low‐molecular‐weight heparin; n, number of patients; TMZ, temozolomide; VTE, venous thromboembolic event.

Percentages calculated for the group of patients who received therapeutic anticoagulation (n = 61).

FIGURE 1

Swimmer plot depicting the occurrence of venous thromboembolic events for each patient. Each bar of the y‐axis represents one individual patient of the venous thromboembolic events (VTEs) cohort (n = 65). The x‐axis represents time in months since hospitalization for initial surgery. Red diamonds represent the VTEs. Blue squares represent the date of first operation. Yellow dots represent dates of tumor progression. Green triangles represent any further operation other than the initial surgery. Bars represent the duration of hospitalization for the first operation (blue), treatment‐free periods (gray), duration of initial radiotherapy plus/minus concomitant temozolomide (orange), duration of maintenance temozolomide (bright green), duration of initial therapy other than temozolomide (dark green), and duration of any other treatment at time of progression (yellow)

Patient characteristics at time of VTE Abbreviations: BMI, body mass index; CI, confidence interval; CTCAE, Common Terminology Criteria for Adverse Events; DOAC, direct oral anticoagulant; KPE, Karnofsky performance status; LMWH, low‐molecular‐weight heparin; n, number of patients; TMZ, temozolomide; VTE, venous thromboembolic event. Percentages calculated for the group of patients who received therapeutic anticoagulation (n = 61). Swimmer plot depicting the occurrence of venous thromboembolic events for each patient. Each bar of the y‐axis represents one individual patient of the venous thromboembolic events (VTEs) cohort (n = 65). The x‐axis represents time in months since hospitalization for initial surgery. Red diamonds represent the VTEs. Blue squares represent the date of first operation. Yellow dots represent dates of tumor progression. Green triangles represent any further operation other than the initial surgery. Bars represent the duration of hospitalization for the first operation (blue), treatment‐free periods (gray), duration of initial radiotherapy plus/minus concomitant temozolomide (orange), duration of maintenance temozolomide (bright green), duration of initial therapy other than temozolomide (dark green), and duration of any other treatment at time of progression (yellow) Perioperative prophylaxis for VTEs could be confirmed in 32 patients (82.1%), whereas seven patients (17.9%) had no documented prophylaxis in the medical records; data were missing for 26 patients. Bevacizumab comedication at time of VTE diagnosis was noted in 10 patients (15.6%). Approximately half of the patients diagnosed with VTEs had pulmonary embolism (n = 36, 56.3%). Of the patients with pulmonary embolism, seven patients (10.9%) were diagnosed with concomitant deep vein thrombosis. At the time of VTE diagnosis, 53 patients (82.8%) were symptomatic, and 45 patients (70.3%) reported their symptoms to the clinician. In 11 patients (17.2%), the clinician first noted the symptoms leading to the VTE diagnosis, whereas the patients themselves were not aware of them (Table S1). All seven patients diagnosed with both pulmonary embolism and deep vein thrombosis had a CT scan of the chest, as well as an ultrasound examination or a CT venography of the legs. Two patients were diagnosed with pulmonary embolism based exclusively on their clinical symptoms and died immediately. Patients with isolated deep vein thrombosis, who had no desaturation or chest pain, did not undergo a chest CT scan (Table S1). At the time of VTE diagnosis, 12 patients (19.7%) were on prophylactic anticoagulation (Table 2). Almost all patients (n = 61, 93.8%) received therapeutic anticoagulation for the treatment of VTEs. Only two patients were given prophylactic anticoagulation (3.1%). Another two patients died immediately from VTEs (3.1%) before anticoagulation could be initiated. Therapeutic anticoagulation was achieved mostly with LMWH (n = 29, 47.5%), followed by vitamin K antagonists (n = 26, 42.6%). The latter were combined with inferior vena cava filters in five patients (8.2%), mostly to postpone full anticoagulation for a few days in freshly operated patients. Median time of therapeutic anticoagulation was 4.6 months for all patients with implemented anticoagulation after VTEs (n = 60). Twenty‐nine patients underwent therapeutic anticoagulation until death, with a median duration of therapeutic anticoagulation of 2.1 months. The remaining 31 patients (n = 1 patient with missing data on duration of anticoagulation) received therapeutic anticoagulation for a median of 6.4 months (Table 2). Fourteen of 61 patients (23.0%) who received therapeutic anticoagulation suffered from complications (Table 2), including intracranial hemorrhage (n = 7, 11.5%; n = 5 symptomatic), subdural hematoma (n = 2, 3.3%), anal bleeding (n = 2, 3.3%), and oral hemorrhage (n = 1.6%). One of these 14 patients died due to intracranial bleeding. Therapeutic anticoagulation had to be stopped in 10 patients, whereas three patients were able to continue the treatment. Of the 14 patients with complications under therapeutic anticoagulation, six patients (42.9%) were on LMWH, five patients (35.7%) were on vitamin K antagonists (combined with a vena cava filter in one patient), two patients were on a DOAC, and one patient was on unfractionated heparin (Table 2). In most patients (n = 60), the VTEs had no impact on the treatment schedule (92.3%), whereas in five patients (76.9%), chemotherapy or bevacizumab, respectively, were delayed or stopped. Four patients in the VTE cohort had a second VTE. Two patients were on therapeutic anticoagulation at the time of the second VTE, with a median time to the occurrence of the second VTE of 6.4 months. Two other patients were not anticoagulated (median time between the VTEs was 12.4 months).

Survival data

Median OS for the whole cohort was 12.1 months (95% CI = 11.0–13.3). Median OS for patients diagnosed with VTEs was 14.2 months (95% CI = 10.8–17.5) compared to 11.0 months (95% CI = 10.7–13.1) for patients without VTEs (Table S2). Kaplan–Meier survival curves stratified according to the diagnosis of VTEs are shown in Figure 2. Survival in patients diagnosed with VTEs compared to those patients who were not was similar (p = 0.139; Table S2, Figure 2).
FIGURE 2

Venous thromboembolic events and survival. Kaplan–Meier survival curves are shown for glioblastoma patients diagnosed with (blue line) or without (red line) venous thromboembolic events (VTE). The log‐rank test was used for comparison

Venous thromboembolic events and survival. Kaplan–Meier survival curves are shown for glioblastoma patients diagnosed with (blue line) or without (red line) venous thromboembolic events (VTE). The log‐rank test was used for comparison Most patients died of tumor progression (90.7%; Table 3). In patients in an end‐of‐life setting with a main focus on palliative and supportive care, death as a result of neurological decline over time was assumed to be because of tumor progression. Sudden and unexpected death was observed in five patients (1.6%). Of these five patients, one patient had a VTE approximately 2 months before his death and was treated with a vena cava filter. Another four patients (1.3%) died of intracranial hemorrhage. One of these patients was on prophylactic anticoagulation at the time of death, and none was on therapeutic anticoagulation. One patient, who was on prophylactic anticoagulation, died of extensive bleeding in the gluteal muscle. Sixteen patients (5.1%) died from other causes, mainly systemic infections (n = 8, 50%), and there were two lethal accidents (12.5%). In patients who had VTEs during the course of disease, three patients (6.4%) died in association with acute VTEs, presumably cardiopulmonary failure, based on the clinical presentation (Table 3).
TABLE 3

Cause of death

Cause of deathAll patients, n = 414Non‐VTE cohort, n = 349VTE cohort, n = 65
Tumor progression283 (90.7%)246 (92.8%)37 (78.7%)
Bleeding5 (1.6%)4 (1.5%)1 (2.1%)
Intracranial4 (1.3%)3 (1.1%)1 (2.1%)
Gluteal muscle1 (0.3%)1 (0.4%)0
Thromboembolic event, assumed cardiopulmonary failure3 (1.0%)03 (6.4%)
Sudden unexpected death of unknown cause5 (1.6%)4 (1.5%)1 (2.1%)
Other a 16 (5.1%)11 (6.7%)5 (10.6%)
Alive/lost to follow‐up51 (−)41 (−)10 (−)
No data51 (−)43 (−)8 (−)

Abbreviation: VTE, venous thromboembolic event.

Accident (n = 2), suicide (n = 1), gastrointestinal disease (n = 1), hyperglycemia (n = 1), infection (n = 8), intraoperative complication (n = 1), liver disease (n = 1), myocardial infarction (n = 1).

Cause of death Abbreviation: VTE, venous thromboembolic event. Accident (n = 2), suicide (n = 1), gastrointestinal disease (n = 1), hyperglycemia (n = 1), infection (n = 8), intraoperative complication (n = 1), liver disease (n = 1), myocardial infarction (n = 1). VTEs were not associated with risk of death in univariable Cox regression analysis (p = 0.14, hazard ratio [HR] = 0.80, 95% CI = 0.60–1.07). Multivariable Cox regression analysis confirmed known prognostic or predictive markers in glioblastoma, including age, KPS, extent of resection, MGMT promoter methylation status, and first‐line treatment. In contrast, the diagnosis of a VTE at any time during the course of disease again was not associated with increased risk for death (HR = 0.86, 95% CI = 0.60–1.25, p = 0.435; Table 4). In addition, we included a time‐dependent covariable for the time of tumor diagnosis to time of VTE in this Cox regression for risk of death (p = 0.007, HR = 16.4, 95% CI = 2.15–124.81); however, it was confirmed that VTEs were not associated with risk of death in this adjusted model (p = 0.12, HR = 0.79, 95% CI = 0.59–1.06).
TABLE 4

Multivariate analysis with regard to death (Cox regression)

Characteristic n HR (95% CI) p
Age a
>65 years1201Ref
≤65 years1630.64 (0.47–0.88)0.006
Sex
Male1851Ref
Female981.16 (0.88–1.53)0.296
KPS a
<70%682.00 (1.44–2.78)<0.001
70%–80%1711Ref
90%–100%440.64 (0.43–0.94)0.022
Extent of resection a
Biopsy491Ref
Incomplete1230.43 (0.29–0.62)<0.001
Gross total, ≥99%1110.27 (0.18–0.40)<0.001
MGMT promoter methylation status
Unmethylated1611Ref
Methylated1220.57 (0.43–0.75)<0.001
Postsurgical therapy
No therapy341Ref
RT alone520.40 (0.24–0.64)<0.001
CT alone230.30 (0.16–0.55)<0.001
RT plus TMZ1560.19 (0.12–0.30)<0.001
Others b 180.16 (0.85–0.31)<0.001
VTE during the course of disease
Yes460.86 (0.60–1.25)0.435
No2371Ref

Abbreviations: CI, confidence interval; CT, chemotherapy; HR, hazard ratio; KPS, Karnofsky performance status; MGMT, O6‐methylguanine DNA methyltransferase; Ref, reference; RT, radiotherapy; TMZ, temozolomide; VTE, venous thromboembolic event.

At time of diagnosis.

Mainly experimental drugs in clinical trials, or bevacizumab.

Multivariate analysis with regard to death (Cox regression) Abbreviations: CI, confidence interval; CT, chemotherapy; HR, hazard ratio; KPS, Karnofsky performance status; MGMT, O6‐methylguanine DNA methyltransferase; Ref, reference; RT, radiotherapy; TMZ, temozolomide; VTE, venous thromboembolic event. At time of diagnosis. Mainly experimental drugs in clinical trials, or bevacizumab.

DISCUSSION

This study was performed to explore the incidence of VTEs, a major complication in cancer patients, and the association with survival in glioblastoma patients on a population level. In the present IDH wild‐type glioblastoma cohort, 65 patients (15.7%) were diagnosed with VTEs during the course of disease (Table 1). Several reports, mainly single‐center studies, describe an incidence of VTEs between 14.5% and 32.3% in glioma cohorts [3, 4, 35, 36] (Table 5). Differences in the incidence of VTE in these studies can probably be explained by the retrospective nature and the lack of standardized screening for VTEs, especially in asymptomatic patients. Higher VTE incidences, compared to glioblastoma patients, were reported in other cohorts, including patients with WHO Grade 2 and 3 astrocytoma [35, 36]. The concept of an increased risk for VTE in IDH‐mutant gliomas remains controversial. Whereas Diaz and colleagues postulated an increased risk for VTEs in patients with IDH‐mutant tumors [35], this finding was not confirmed in a subsequent study [36]. Unruh and colleagues described a higher frequency of intratumoral microthrombi in IDH1/2 wild‐type tumors, independent of histological grade [6]. The authors suggested that mutant IDH1/2 has potent antithrombotic activity within gliomas as well as in the peripheral circulation, probably because mutant IDH1/2 initiates F3 promoter hypermethylation, resulting in a relative lack of tissue factor‐containing microparticles [37]. In addition, the IDH1/2 metabolite D‐2‐hydroxyglutarate has been discussed as having antiplatelet activity based on calcium‐dependent inhibition of human platelet aggregation and clotting.
TABLE 5

Review of the literature (selected papers)

StudyProspective/retrospective studySingle‐/multicenter studyIncluded patients (n)ScreeningFollow‐up, monthsPatients diagnosed with VTE, n (%)Treatment, n (%)
Our study, 2022RetrospectiveMulticenter (Canton of Zurich, Switzerland)IDH wild‐type glioblastoma (414)VTE during the course of disease10.165 (15.7%)

Prophylactic AC, LMWH, 2 (3.1%)

Therapeutic AC

LMWH, 29 (47.5%)

DOAC, 4 (6.6%)

Vitamin K antagonist, 21 (34.4%)

Unfractionated heparin, 2 (3.3%)

IVC filter/vitamin K antagonist, 5 (8.2%)

None, 2 (3.1%)

Mandel et al., 2021RetrospectiveSingle center (MD Anderson, Texas)Astrocytoma [IDH mutant or IDH wild‐type status] (282)VTE during the course of disease

All tumors: 52 (18.4%)

All grades, IDH wild‐type: 45 (19.3%)

All grades, IDH mutant: 7 (14.3%)

Vitamin K antagonist, 4 (7.7%)

IVC filter/vitamin K antagonist, 2 (3.8%)

IVC filter alone, 9 (17.3%)

IVC filter/DOAC, 1 (1.9%)

LMWH, 29 (55.8%)

IVC filter/LMWH, 3 (5.8%)

DOAC, 2 (3.8%)

Other, 2 (3.8%)

Diaz et al., 2020Prospectively collected data; retrospectively analyzedSingle center (University of Virginia)

Glioma

WHO Grade 2 (147)

WHO Grade 3 (109)

WHO Grade 4 (334)

VTE during the course of disease17.9

WHO Grade 2: 12 (8.2%)

WHO Grade 3: 10 (9.2%)

WHO Grade 4: 103 (30.8%)

All grades, IDH wild‐type: 102 (26.5%)

All grades IDH mutant: 18 (8.7%)

Le Rhun et al., 2018Prospective studies; retrospectively analyzedMulticenterGlioblastoma [IDH mutant or IDH wild‐type status] (1273)Anticoagulant exposure at time from (i) randomization to start combined radiochemotherapy or (ii) from combined radiochemotherapy to start of temozolomide maintenance

(i) 1 of 1273 (0.1%)

(ii) 22 of 1017 (2.2%)

New VTEs except 1 were treated with therapeutic AC
Edwin et al., 2016RetrospectiveSingle center (Cleveland)Glioblastoma (450)VTE during the course of diseaseMinimum of 6145 (32.2%)

IVC filter alone, 39 (26.9%)

IVC filter with AC, 21 (14.5%)

AC alone, 54 (37.2%)

LMWH, 36 (24.8%)

Warfarin, 15 (10.3%)

Heparin, 2 (1.4%)

DOAC, 1 (0.7%)

None, 31 (21.4%)

Yust‐Katz et al., 2015RetrospectiveSingle center (MD Anderson)Glioblastoma (440)VTE after starting adjuvant chemotherapyMinimum of 664 (14.5%)

AC alone, 36

Coumadin, 8

LMWH, 28

IVC filter, 2

IVC/AC, 21

Unknown, 3

None, 2

Abbreviations: AC, anticoagulation; DOAC, direct oral anticoagulants; IDH, isocitrate dehydrogenase; IVC, inferior vena cava; LMWH, low‐molecular‐weight heparin; VTE, venous thromboembolic event; WHO, World Health Organization.

Review of the literature (selected papers) Prophylactic AC, LMWH, 2 (3.1%) Therapeutic AC LMWH, 29 (47.5%) DOAC, 4 (6.6%) Vitamin K antagonist, 21 (34.4%) Unfractionated heparin, 2 (3.3%) IVC filter/vitamin K antagonist, 5 (8.2%) None, 2 (3.1%) All tumors: 52 (18.4%) All grades, IDH wild‐type: 45 (19.3%) All grades, IDH mutant: 7 (14.3%) Vitamin K antagonist, 4 (7.7%) IVC filter/vitamin K antagonist, 2 (3.8%) IVC filter alone, 9 (17.3%) IVC filter/DOAC, 1 (1.9%) LMWH, 29 (55.8%) IVC filter/LMWH, 3 (5.8%) DOAC, 2 (3.8%) Other, 2 (3.8%) Glioma WHO Grade 2 (147) WHO Grade 3 (109) WHO Grade 4 (334) WHO Grade 2: 12 (8.2%) WHO Grade 3: 10 (9.2%) WHO Grade 4: 103 (30.8%) All grades, IDH wild‐type: 102 (26.5%) All grades IDH mutant: 18 (8.7%) (i) 1 of 1273 (0.1%) (ii) 22 of 1017 (2.2%) IVC filter alone, 39 (26.9%) IVC filter with AC, 21 (14.5%) AC alone, 54 (37.2%) LMWH, 36 (24.8%) Warfarin, 15 (10.3%) Heparin, 2 (1.4%) DOAC, 1 (0.7%) None, 31 (21.4%) AC alone, 36 Coumadin, 8 LMWH, 28 IVC filter, 2 IVC/AC, 21 Unknown, 3 None, 2 Abbreviations: AC, anticoagulation; DOAC, direct oral anticoagulants; IDH, isocitrate dehydrogenase; IVC, inferior vena cava; LMWH, low‐molecular‐weight heparin; VTE, venous thromboembolic event; WHO, World Health Organization. Our data indicate that the risk of VTEs is already high early in the disease course, with a median time to VTE of 1.8 months (Table 2). In our cohort, many patients were diagnosed with VTEs in the first 35 days after neurosurgical intervention. This is in line with the recommendation that patients with cancer, including patients diagnosed with brain tumor and brain metastasis, should receive perioperative VTE prophylaxis [16]. In addition, a large retrospective analysis confirmed craniotomy for brain tumors to be an independent risk factor for VTEs compared to craniotomy for other reasons, including ischemic stroke or bleedings [38]. Among brain tumor patients, the risk of VTEs in patients diagnosed with glioblastoma is reportedly higher than the risk in those diagnosed with meningioma [39]. As a mechanism, a systemic procoagulative state has been reported more frequently in glioblastoma patients compared to meningioma patients [40]. Additionally, in our dataset, the phase of initial treatment appears to place patients at risk, suggesting that prophylactic anticoagulation might be useful specifically during the early disease trajectory. Conversely, it seems counterintuitive to assume that the risk of VTEs decreases during the course of disease, because several risk factors such as steroid use, immobility, possible increase of BMI, and tumor burden should be more prevalent in later disease stages. Thus, it is also conceivable that the apparently lower rate of VTEs in later disease stages reflects less stringent follow‐up or follow‐up at less experienced sites. In our study, history of a VTE was significantly associated with the incidence of VTEs after diagnosis of glioblastoma (Table 1). Patients who developed VTEs were characterized by increased BMI (≥25 kg/m2, 63.6%), reduced KPS (<70%, 56.5%), and comedication with steroids (60.9%; Table 2), which are known risk factors for VTEs in brain tumor patients [8, 9]. Our study does not allow for drawing conclusions regarding causality of risk factors for VTEs. Although we found decreased platelet levels at the time of VTE diagnosis in 21.7% of our patients, it remains unclear whether this represents an independent risk factor for VTEs in glioblastoma patients. A negative association of VTEs and platelet count at the time of diagnosis in primary brain tumors has been described [14]. Bevacizumab appears not to be associated with an increased risk of VTEs in randomized clinical trials on glioblastoma patients [8, 10, 11, 12]. On a population‐based level, we confirm that bevacizumab treatment at any time during the course of disease was not associated with VTEs (Table 1). Although VTEs have been linked to inferior survival in cancer patients in general [23], such a negative association between VTEs in glioblastoma patients and survival was not seen in our cohort (Table S2, Table 3, Figure 2). We even noticed a trend toward superior survival in glioblastoma patients with VTEs, almost all of which received full anticoagulation. As patients in our study were diagnosed between 2005 and 2014 and the first DOAC (rivaroxaban) for the treatment of VTEs was approved in Switzerland in 2012, these anticoagulants are underrepresented for VTE treatment in our cohort. A recent study showed a satisfactory safety profile of DOACs compared to LMWH in glioblastoma patients with pulmonary embolism, and the advantages of avoiding injections, less need of monitoring, and fewer interactions nowadays might favor their use in clinical practice [41]. The complication rate of all patients receiving DOACs for VTE treatment was high in our study (50%; Table 2), but due to the very limited number of patients in this cohort, comparisons with the complication rate under LMWH or vitamin K antagonists cannot be made. The complication rate among patients receiving LMWH (20.7%) or vitamin K antagonists (19.0%) were similar. These population‐based data appear to be at odds with observations on the significance of VTEs in clinical trial populations. No association with survival was observed in patients treated with prophylactic doses of anticoagulants or with antiplatelet agents in a retrospective analysis of three randomized clinical trials in glioblastoma patients [22]. In this dataset, therapeutic anticoagulation initiated between the start of concomitant temozolomide with radiotherapy and maintenance temozolomide was associated with inferior survival. Although three patients (6.4%) with VTEs in our study died in association with an acute thromboembolic event, VTEs were not a major cause of death (Table 3). The main limitations of this study include the retrospective nature of data collection, including missing data on steroid administration over time and treatment intensity, as well as the lack of data on IDH mutation status by sequencing in some patients younger than 55 years, and on MGMT promoter methylation status. Based on the retrospective nature of this study, the prevalence of VTEs, notably in later disease stages, as well as the prevalence of prescription or intensity of VTE prophylaxis, may be underestimated. Although VTEs were identified in 15.7% of glioblastoma patients on this population‐based level, VTEs were not associated with death. Therefore, our data do not support the implementation of primary venous thromboembolism prophylaxis in glioblastoma patients without further data from controlled studies. However, VTEs occurred early in the course of disease, suggesting that the implementation of primary venous thromboembolism prophylaxis using a safe and well‐tolerated agent could be explored during first‐line chemoradiotherapy in a randomized setting.

AUTHOR CONTRIBUTIONS

Amanda Eisele: Conceptualization (equal); data curation (lead); formal analysis (lead); investigation (lead); project administration (lead); validation (lead); visualization (lead); writing – original draft (lead); writing – review and editing (lead). Katharina Seystahl: Data curation (equal); formal analysis (equal); funding acquisition (lead); investigation (equal); methodology (lead); validation (equal); writing – review and editing (equal). Elisabeth Rushing: Data curation (equal); investigation (equal); project administration (equal); validation (equal); writing – review and editing (equal). Patrick Roth: Data curation (equal); investigation (equal); project administration (equal); validation (equal); writing – review and editing (equal). Emilie Le Rhun: Conceptualization (lead); data curation (equal); investigation (equal); project administration (equal); validation (equal); writing – review and editing (equal). Michael Weller: Conceptualization (lead); funding acquisition (lead); investigation (lead); project administration (lead); supervision (lead); writing – original draft (lead); writing – review and editing (lead). Dorothee Gramatzki: Conceptualization (lead); data curation (lead); formal analysis (lead); funding acquisition (lead); investigation (lead); methodology (lead); project administration (lead); validation (lead); visualization (lead); writing – original draft (lead); writing – review and editing (lead).

CONFLICT OF INTEREST

K.S. has received honoraria for board participation from Roche. E.L.R. has received personal fees from AbbVie, Adastra, Bayer, LEO Pharma, Seagen, and Tocagen. P.R. has received honoraria for lectures or advisory board participation from Bristol Myers Squibb, Covagen, Debiopharm, Merck Sharp & Dohme, Novocure, QED, Roche, and Virometix and research support from Merck Sharp & Dohme and Novocure. M.W. has received research grants from Abbvie, Adastra, Apogenix, Merck Sharp & Dohme, Merck (EMD), Novocure, and Quercis, and honoraria for lectures, advisory board participation, or consulting from Abbvie, Adastra, Bristol Myers Squibb, Celgene, Medac, Merck Sharp & Dohme, Merck (EMD), Nerviano Medical Sciences, Novartis, Orbus, Philogen, Roche, Tocagen, and yMabs. All remaining authors declare that they have no conflict of interest. Click here for additional data file.
  42 in total

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Journal:  N Engl J Med       Date:  2017-11-16       Impact factor: 91.245

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Journal:  J Neurooncol       Date:  2015-06-23       Impact factor: 4.130

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Authors:  Dorothee Gramatzki; Silvia Dehler; Elisabeth Jane Rushing; Kathrin Zaugg; Silvia Hofer; Yasuhiro Yonekawa; Helmut Bertalanffy; Anton Valavanis; Dimitri Korol; Sabine Rohrmann; Miklos Pless; Joachim Oberle; Patrick Roth; Hiroko Ohgaki; Michael Weller
Journal:  Cancer       Date:  2016-04-18       Impact factor: 6.860

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Authors:  Johannes Thaler; Cihan Ay; Alexandra Kaider; Eva-Maria Reitter; Johanna Haselböck; Christine Mannhalter; Christoph Zielinski; Christine Marosi; Ingrid Pabinger
Journal:  Neuro Oncol       Date:  2014-07-01       Impact factor: 12.300

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Authors:  Shlomit Yust-Katz; Jacob J Mandel; Jimin Wu; Ying Yuan; Courtney Webre; Tushar A Pawar; Harshad S Lhadha; Mark R Gilbert; Terri S Armstrong
Journal:  J Neurooncol       Date:  2015-05-19       Impact factor: 4.130

6.  Systemic coagulation is activated in patients with meningioma and glioblastoma.

Authors:  Swaroopa Yerrabothala; Brett L Gourley; James C Ford; Syed Rakin Ahmed; Stephen J Guerin; Marc Porter; Heather A Wishart; Marc S Ernstoff; Camilo E Fadul; Deborah L Ornstein
Journal:  J Neurooncol       Date:  2021-10-15       Impact factor: 4.130

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Authors:  Kristopher T Kimmell; Babak S Jahromi
Journal:  J Neurosurg       Date:  2014-12-12       Impact factor: 5.115

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Authors:  Dusten Unruh; Steven R Schwarze; Laith Khoury; Cheddhi Thomas; Meijing Wu; Li Chen; Rui Chen; Yinxing Liu; Margaret A Schwartz; Christina Amidei; Priya Kumthekar; Carolina G Benjamin; Kristine Song; Caleb Dawson; Joanne M Rispoli; Girish Fatterpekar; John G Golfinos; Douglas Kondziolka; Matthias Karajannis; Donato Pacione; David Zagzag; Thomas McIntyre; Matija Snuderl; Craig Horbinski
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Authors:  Daniel Dubinski; Sae-Yeon Won; Martin Voss; Fee Keil; Wolfgang Miesbach; Bedjan Behmanesh; Max Dosch; Peter Baumgarten; Joshua D Bernstock; Volker Seifert; Thomas M Freiman; Florian Gessler
Journal:  Neurosurg Rev       Date:  2021-04-26       Impact factor: 2.800

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