Literature DB >> 19276795

D-dimer before chemotherapy might predict venous thromboembolism.

Guido Arpaia1, Monica Carpenedo, Magda Verga, Ornella Mastrogiacomo, Daniele Fagnani, Mario Lanfredini, Massimo Milani, Claudio Cimminiello.   

Abstract

To see whether D-Dimer levels can identifying patients at high risk of venous thrombotic events and establish the best benefit/risk-of-bleeding ratio. Current guidelines do not recommend routine prophylaxis against venous thromboembolism (VTE) in cancer patients receiving chemotherapy, but the risk increases about 6.5-fold because of this treatment. D-dimer was measured at baseline in 124 cancer patients scheduled for their first chemotherapy. VTE events, including symptomatic episodes of deep vein thrombosis or pulmonary embolism or both, were recorded during the first 6 months of therapy, and asymptomatic deep vein thrombosis was revealed by compression ultrasonography at baseline and after 90 and 180 days. During follow-up, there were 11 episodes of VTE (8.9%). Mean D-dimer values were higher in patients with VTE (2195 +/- 1382 vs. 695 +/- 1039 ng/ml, (P < 0.001). On grouping D-dimer values in tertiles, only 2.4% (confidence interval, 0.9-5.7%) in the first (<262 ng/ml) and second tertiles (262-650 ng/ml) suffered a deep vein thrombosis/pulmonary embolism event as compared with 22% (confidence interval, 9-34%) in the third (>650 ng/dl) (P = 0.003). The VTE-free interval was significantly shorter in the third tertile than in the first (P = 0.0218, log-rank test; relative risk for third vs. first tertile, 11.0; 95% confidence interval, 1.4-81.3; P = 0.0033). Multivariate analysis found that only baseline D-dimer concentrations were correlated with the subsequent development of VTE. Baseline D-dimer values in cancer patients scheduled for chemotherapy might be used to select those at low risk of VTE, most likely to be safe without prophylaxis.

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Year:  2009        PMID: 19276795     DOI: 10.1097/MBC.0b013e32831bc2de

Source DB:  PubMed          Journal:  Blood Coagul Fibrinolysis        ISSN: 0957-5235            Impact factor:   1.276


  19 in total

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Review 2.  Mechanisms and biomarkers of cancer-associated thrombosis.

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4.  Predictors of survival for patients with cancer after cryptogenic stroke.

Authors:  Yong-Won Shin; Soon-Tae Lee; Keun-Hwa Jung; Do-Yong Kim; Chul-Kee Park; Tae Min Kim; Seung Hong Choi; Kon Chu; Sang Kun Lee
Journal:  J Neurooncol       Date:  2016-03-11       Impact factor: 4.130

Review 5.  The role of thromboprophylaxis in cancer patients: emerging data.

Authors:  Laurel A Menapace; Alok A Khorana
Journal:  Curr Opin Hematol       Date:  2010-09       Impact factor: 3.284

6.  Haemostatic biomarkers for prognosis and prediction of therapy response in patients with metastatic colorectal cancer.

Authors:  Florian Moik; Florian Posch; Ella Grilz; Werner Scheithauer; Ingrid Pabinger; Gerald Prager; Cihan Ay
Journal:  Thromb Res       Date:  2020-01-07       Impact factor: 3.944

7.  Plasminogen activator inhibitor 1 and venous thrombosis in pancreatic cancer.

Authors:  Yohei Hisada; Kenison B Garratt; Anaum Maqsood; Steven P Grover; Tomohiro Kawano; Brian C Cooley; Jonathan Erlich; Florian Moik; Matthew J Flick; Ingrid Pabinger; Nigel Mackman; Cihan Ay
Journal:  Blood Adv       Date:  2021-01-26

Review 8.  D-Dimer elevation and adverse outcomes.

Authors:  Rim Halaby; Christopher J Popma; Ander Cohen; Gerald Chi; Marcelo Rodrigues Zacarkim; Gonzalo Romero; Samuel Z Goldhaber; Russell Hull; Adrian Hernandez; Robert Mentz; Robert Harrington; Gregory Lip; Frank Peacock; James Welker; Ignacio Martin-Loeches; Yazan Daaboul; Serge Korjian; C Michael Gibson
Journal:  J Thromb Thrombolysis       Date:  2015-01       Impact factor: 2.300

9.  Elevated levels of plasma D-dimer predict a worse outcome in patients with nasopharyngeal carcinoma.

Authors:  Wen-Hui Chen; Lin-Quan Tang; Feng-Wei Wang; Chang-Peng Li; Xiao-Peng Tian; Xiao-Xia Huang; Shi-Juan Mai; Yi-Ji Liao; Hai-Xia Deng; Qiu-Yan Chen; Huai Liu; Lu Zhang; Shan-Shan Guo; Li-Ting Liu; Shu-Mei Yan; Chao-Feng Li; Jing-Ping Zhang; Qing Liu; Xue-Wen Liu; Li-Zhi Liu; Hai-Qiang Mai; Mu-Sheng Zeng; Dan Xie
Journal:  BMC Cancer       Date:  2014-08-10       Impact factor: 4.430

10.  High Pretreatment D-Dimer Levels Correlate with Adverse Clinical Features and Predict Poor Survival in Patients with Natural Killer/T-Cell Lymphoma.

Authors:  Xi-wen Bi; Liang Wang; Wen-wen Zhang; Peng Sun; Shu-mei Yan; Pan-pan Liu; Zhi-ming Li; Wen-qi Jiang
Journal:  PLoS One       Date:  2016-03-31       Impact factor: 3.240

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