Literature DB >> 27115860

Clinical and laboratory predictors of deep vein thrombosis after acute stroke.

Ibrahim O Balogun1, Lara N Roberts2, Raj Patel2, Rohan Pathansali3, Lalit Kalra4, Roopen Arya2.   

Abstract

BACKGROUND: Deep vein thrombosis (DVT) is a common complication of acute stroke, but the new incidence in the era of improved specialist input in stroke care is yet unknown. The models for VTE diagnosis is well established, but prediction models to target at-risk patients for pharmacological prophylaxis is lacking and requires further research, particularly in the aftermath of acute stroke.
OBJECTIVES: To predict DVT after acute stroke using markers of haemostatic activation and stroke severity scores.
METHODS: We examined the clinical utility of laboratory factors such as thrombin generation, D-dimer, fibrinogen alongside clinical factors (National Institute of Health Stroke Scale and Barthel Index) in the prediction of asymptomatic DVT, among 92 consecutively admitted patients.
RESULTS: One in five patients (19.6%) had objectively confirmed DVT (6 proximal, 12 distal). Thrombolytic therapy did not protect against DVT, with 21% (6/29) of patients treated with r-tPA went on to develop DVT. Thrombin generation and fibrinogen had no clinical utility, but D-dimer at baseline and week 2 had high clinical potential in the prediction of asymptomatic DVT (2425ng/mL versus 1010ng/mL; p=0.001) and (2240 Vs 970ng/mL; p<0.001) respectively. Patients with DVT had worse stroke severity, and are functionally less able, with lower Barthel index (p=0.05), and high National Institute of Health Stroke Score (p=0.07).
CONCLUSION: Thrombolytic therapy and specialist stroke intervention does not protect against DVT risk. D-dimer concentration within 48h of acute stroke is independently associated with development of DVT. This observation would require confirmation in a large study.
Copyright © 2016 Elsevier Ltd. All rights reserved.

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Year:  2016        PMID: 27115860     DOI: 10.1016/j.thromres.2016.04.002

Source DB:  PubMed          Journal:  Thromb Res        ISSN: 0049-3848            Impact factor:   3.944


  9 in total

1.  Cost-Effective Machine Learning Based Clinical Pre-Test Probability Strategy for DVT Diagnosis in Neurological Intensive Care Unit.

Authors:  Li Luo; Ran Kou; Yuquan Feng; Jie Xiang; Wei Zhu
Journal:  Clin Appl Thromb Hemost       Date:  2021 Jan-Dec       Impact factor: 2.389

2.  Deep Venous Thrombosis among hypertensive patients in King Abdulaziz University (KAU) Hospital, Jeddah, Kingdom of Saudi Arabia.

Authors:  Omar Ayed Alanazi; Nagah Mohamed Abo El-Fetoh; Nesreen Ali Mohammed; Tariq Mozil Aquab Alanizy; Yasir Wadi Alanazi; Munif Saleh Alanazi; Abdurhman Aiash Alrwaili; Amjad Hamoud Alruwaili; Abdullah Hussain Alanazi; Ahmed Saad Alanazi
Journal:  Electron Physician       Date:  2017-10-25

3.  Deep venous thrombosis in elderly patients as a surgical emergency at King Abdulaziz University Hospital, Jeddah, Saudi Arabia.

Authors:  Reham Muqbil Alanazi; Ashjan Aqeel Alanazi; Ibtihaj Qaseem Alenezi; Anwar Matar Alsulobi; Abdulrhman Fahad Almutairy; Wafaa Mohamed Bakr Ali; Mohammed Abdullah Alanazi; Mohammed Abdullah Alkhidhr; Nagah Mohamed Abo Elfetoh; Abdalla Mohamed Bakr Ali
Journal:  Electron Physician       Date:  2017-11-25

4.  Thrombin Generation in Acute Ischaemic Stroke.

Authors:  Ibrahim O Balogun; Lara N Roberts; Raj Patel; Rohan Pathansali; Lalit Kalra; Roopen Arya
Journal:  Stroke Res Treat       Date:  2016-12-25

5.  Clinical Risk Factors of Asymptomatic Deep Venous Thrombosis in Patients With Acute Stroke.

Authors:  Yi Wang; Yu Shi; Yi Dong; Qiang Dong; Ting Ye; Kun Fang
Journal:  Clin Appl Thromb Hemost       Date:  2019 Jan-Dec       Impact factor: 2.389

6.  Association of clinical and laboratory variables with in-hospital incidence of deep vein thrombosis in patients after acute ischemic stroke: A retrospective study.

Authors:  Yucai Huang; Cuirong Guo; Kun Song; Changluo Li; Ning Ding
Journal:  Medicine (Baltimore)       Date:  2021-02-12       Impact factor: 1.817

7.  A novel risk model to predict first-ever ischemic stroke in heart failure with reduced ejection fraction.

Authors:  Xiaodong Zhou; Lingfang Yu; Weizhen Hu; Ruiyu Shi; Yinan Ji; Changzuan Zhou; Chenglong Xue; Guojia Yu; Weijian Huang; Peiren Shan
Journal:  Aging (Albany NY)       Date:  2021-02-01       Impact factor: 5.682

8.  Incidence and Risk Factors of Lower-Extremity Deep Vein Thrombosis After Thrombolysis Among Patients with Acute Ischemic Stroke.

Authors:  Chunping Ni; Xiuli Yan; Zhuo Liu; Dandan Liu; Zhen-Ni Guo; Hang Jin; Tong Sun
Journal:  Pharmgenomics Pers Med       Date:  2021-09-04

9.  Diagnostic Yield of Early Examination for Venous Thrombosis in Patients with Cryptogenic Stroke and a Right-to-left Shunt.

Authors:  Tomotaka Shiraishi; Kenichiro Sakai; Hidetaka Mitsumura; Ayumi Arai; Takeo Sato; Teppei Komatsu; Shusaku Omoto; Hidetomo Murakami; Yasuyuki Iguchi
Journal:  Intern Med       Date:  2020-04-15       Impact factor: 1.271

  9 in total

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