scholarly journals Venous thromboembolism and lung cancer: a review

2019 ◽  
Vol 10 ◽  
Author(s):  
Carolina Vitale ◽  
Mario D’Amato ◽  
Paolo Calabrò ◽  
Anna Agnese Stanziola ◽  
Mauro Mornile ◽  
...  

Venous thromboembolism (VTE) is a common complication of malignancies and epidemiological studies suggest that lung cancer belonged to the group of malignancies with the highest incidence rates of VTE. Risk factors for VTE in lung cancer patients are adenocarcinoma, NSCLC in comparison with SCLC, advanced disease, pneumonectomy, chemotherapy including antiangiogenic therapy. Other risk factors are pretreatment platelet counts and increased release of TF-positive microparticles. Elevated D-dimer levels do not necessarily indicate an increased risk of VTE but have been shown to be predictive for a worse clinical outcome in lung cancer patients. Mechanisms responsible for the increase in venous thrombosis in patients with lung cancer are not understood. Currently no biomarker is recognized as a predictor for VTE in lung cancer patients. Although several clinical trials have reported the efficacy of antithrombotic prophylaxis in patients with lung cancer who are receiving chemotherapy, further trials are needed to assess the clinical benefit since these patients are at an increased risk of developing a thromboembolism.

2012 ◽  
Vol 106 (6) ◽  
pp. 736-741 ◽  
Author(s):  
Yi Yang ◽  
Zhen Zhou ◽  
Xiao-Min Niu ◽  
Zi-Ming Li ◽  
Zhi-Wei Chen ◽  
...  

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 3590-3590
Author(s):  
Nicole M. Kuderer ◽  
Marek S. Poniewierski ◽  
Eva Culakova ◽  
Gary H. Lyman ◽  
Alok A. Khorana ◽  
...  

Abstract BACKGROUND: Patients with lung cancer are known to be at increased risk for venous thromboembolism (VTE). However, there have been few studies of risk factors for VTE in lung cancer patients undergoing systemic chemotherapy. METHODS: CANTARISK was a prospective, non-interventional, global cohort study including patients with lung cancer initiating a new chemotherapy regimen. Clinical data were collected at baseline and at 2, 4 and 6 months follow-up. The impact of patient-, disease- and treatment-related factors on the occurrence of VTE in the first 6 months was evaluated in univariable and multivariable Cox regression analyses. RESULTS: A total of 1,980 patients with lung cancer were enrolled from 2011-12 of which 84% were diagnosed with non-small cell lung cancer (NSCLC). Median age was 63 years (range, 25-91) and 63% were male while 82% were active or former smokers. Race was white (70%), Asian (22%), or black (4%) with similar numbers from North America, Europe, and other regions including Asia. Metastatic disease was reported in 70% and ECOG PS was ≥2 in 13%. During the first six months, 121 patients developed a VTE (6.1%), of which 47.1% had pulmonary embolism (PE), 45.5% deep venous thrombosis (DVT), 3.3% catheter-associated thrombosis, and 4.1% visceral thrombosis. Among significant factors in univariable analysis, independent predictors for VTE in multivariable Cox regression analysis included female gender, US geographic region, leg immobilization, and presence of a central venous catheter (Table) with a trend toward greater risk for higher grade histology. Although predictive of early all-cause mortality in this study population (Kuderer et al ASCO 2016), the previously validated risk score for VTE in ambulatory cancer patients (Khorana et al: Blood 2008) was not significantly associated with VTE in either univariable or multivariable analysis. CONCLUSIONS: Several demographic, geographic, and clinical factors are significantly associated with an increased risk of VTE in patients with lung cancer receiving systemic chemotherapy. Future analysis will attempt to assess how novel targeted treatment options might impact the Khorana score's predictive ability across all lung cancer patients. Disclosures Kuderer: Janssen Scientific Affairs, LLC: Consultancy, Honoraria. Lyman:Amgen: Research Funding. Khorana:Bayer: Consultancy, Honoraria; Leo: Consultancy, Honoraria, Research Funding; Halozyme: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Amgen: Consultancy, Honoraria, Research Funding; Roche: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria; Janssen Scientific Affairs, LLC: Consultancy, Honoraria, Research Funding.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e24042-e24042
Author(s):  
Ayse Ece Cali Daylan ◽  
Danai Khemasuwan ◽  
Hyun S. Kim ◽  
Parvathy Geetha ◽  
Sylvia Vania Alarcon Velasco ◽  
...  

e24042 Background: The increased risk of venous thromboembolism (VTE) in cancer patients is clearly documented. However, given the heterogeneity and increased risk of bleeding in cancer population, patient selection for thromboprophylaxis is still challenging. Methods: In order to predict risk factors of VTE in cancer patients, we performed a retrospective study of 706 patients who were diagnosed with either solid or hematological malignancies between 2015 and 2019. Demographics, body mass index, complete blood count with differential, kidney function tests, electrolytes, liver function tests, lipid profile and cancer staging were recorded. Random forest analysis with bagging was used to rank these variables and the Kaplan-Meier survival analysis was implemented to stratify cancer subtypes based on the risk of VTE occurrence. Results: The mean follow-up time was 19 months. 8.2% of the patients developed VTE. Based on the random forest analysis, the most important five factors in prediction of VTE in cancer patients were determined as cancer subtype, white blood cell count, platelets, neutrophil and hemoglobin. At one-year mark, the risk of VTE in lung cancer and hematological malignancies was found to be significantly higher than breast, colorectal and endometrial cancer (p<0.05). Conclusions: Machine learning approach is infrequently used in risk factor prediction of VTE in cancer patients. The risk factors identified by the machine learning algorithm in our study are consistent with prior studies and show a clear difference in risk of VTE in various cancer subtypes. Moreover, hematological malignancies and lung cancer patients may develop VTE earlier than other cancer subtypes based on the Kaplan-Meier analysis. Further prospective studies with longer follow up are needed to better risk-stratify cancer patients and explore the temporal associations of VTE risk factors. [Table: see text]


2020 ◽  
Vol 75 (1) ◽  
pp. 110-114
Author(s):  
Makoto Hiraide ◽  
Taro Shiga ◽  
Yuichi Minowa ◽  
Yasuhiro Nakano ◽  
Hidenori Yoshioka ◽  
...  

2014 ◽  
Vol 23 (3) ◽  
pp. 635-641 ◽  
Author(s):  
Zhen Wang ◽  
Hong-Hong Yan ◽  
Jin-Ji Yang ◽  
Bin-Chao Wang ◽  
Hua-Jun Chen ◽  
...  

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Amir Dagan ◽  
Tal Sella ◽  
Demian Urban ◽  
Yair Bar ◽  
Amir Onn ◽  
...  

Background: Low alanine transaminase (ALT) has been shown to serve as a marker for sarcopenia and frailty in both healthy populations and in patients with chronic illness. Its yield in cancer patients in general and in particular in lung-cancer patients was not assessed. Methods: Lung cancer patients presenting to an outpatient thoracic oncology clinic in a tertiary hospital were included. ALT plasma levels as well as other potential prognostic factors were collected retrospectively. Associations of those factors with survival were examined by univariate and multivariate analyses. Results: 203 patients were eligible for analysis, of which 149 (73.4%) were diagnosed to have advanced disease. During median follow-up period of 15.4 months, 79 (38.9%) died. The mean ALT level of activity was 17.53±7.8 IU/L. The following parameters were found to be associated with increased risk of mortality: histologic type, male gender, advanced disease and low performance status upon diagnosis. Low ALT levels were not found to be associated with increased risk of mortality. Conclusion: Low ALT activity levels, associated with sarcopenia, frailty and shortened survival in other patients' populations might not be predictive for shortened survival in lung cancer patients.  


2018 ◽  
Vol 35 (5) ◽  
Author(s):  
Joanna Rupa-Matysek ◽  
Marta Lembicz ◽  
Eliza Katarzyna Rogowska ◽  
Lidia Gil ◽  
Mieczysław Komarnicki ◽  
...  

2019 ◽  
Vol 17 ◽  
pp. 100251 ◽  
Author(s):  
Ben Wang ◽  
Lijie Chen ◽  
Chongan Huang ◽  
Jialiang Lin ◽  
Xiangxiang Pan ◽  
...  

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