Literature DB >> 24029463

Risk prediction of subsequent early stroke in patients with transient ischemic attacks.

Anastasios Chatzikonstantinou1, Marc E Wolf, Anke Schaefer, Michael G Hennerici.   

Abstract

BACKGROUND: Prognostic clinical scores (ABCD2 and ABCD3-I), as well as specific clinical signs and symptoms (e.g. fluctuations) have been used to predict early stroke risk in patients admitted to hospital after transient ischemic attacks (TIAs). We compared the utility of these scores and signs for prognosis and outcome.
METHODS: 235 patients with TIAs admitted to our Comprehensive Stroke Center entered the study. Patients were monitored over 3 days with detailed brain imaging [diffusion-weighted imaging (DWI) was performed either directly on admission or within 24 h from admission and was repeated in cases of stroke recurrence], vascular ultrasound imaging, repeated neurological scoring and continuous ECG monitoring. Duration, fluctuation of symptoms, clinical patterns of initial signs and/or symptoms as well as general patient characteristics and stroke risk factors, including atrial fibrillation (AF), were analyzed and recorded in our stroke databank. Fluctuation of symptoms was defined as the complete remitting and relapsing of TIA symptoms for ≥2 times in the acute phase within the first 24 h. This differs from the 'dual TIA' definition of the ABCD3-I score, which is defined as 'an earlier TIA within 7 days of the index event'. ABCD2 and ABCD3-I scores were calculated and the patients were placed into three categories: 'low', 'moderate' and 'high' risk for every score. Risk associations were assessed by the χ(2) test and the φ-coefficient.
RESULTS: Out of 235 patients, 17 patients (7.2%) experienced an early stroke during hospitalization (mean duration 7.4 ± 2.7 days). ABCD2 scores failed to predict early stroke (p = 0.544). ABCD3-I scores correlated better with early stroke recurrences (p = 0.021). Positive DWI findings (6/17; 35.3%), presence of carotid stenosis (3/17; 17.6%) or AF (1/17; 5.9%) alone failed to predict early stroke. Fluctuations of symptoms, however, showed a significant prediction for early stroke after TIA: 13/17 (76.5%) patients (p < 0.001). The combination of symptom fluctuation and MR-DWI-positive findings (4/17; 23.5%) also turned out to be statistically significant in this regard (p = 0.003), while the combination of symptom fluctuations with carotid stenosis ≥50% did not (p = 0.151). Combining fluctuations with carotid stenosis and DWI-positive findings did not improve the result (p = 0.029).
CONCLUSIONS: While the ABCD3-I score is indeed very useful, symptom fluctuations seem to be the best available and an easily accessible and applicable parameter for individual prediction of a high early stroke risk after TIAs.
Copyright © 2013 S. Karger AG, Basel.

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Year:  2013        PMID: 24029463     DOI: 10.1159/000352060

Source DB:  PubMed          Journal:  Cerebrovasc Dis        ISSN: 1015-9770            Impact factor:   2.762


  10 in total

1.  Influential factors and clinical significance of fluid-attenuated inversion recovery vascular hyperintensities in transient ischemic attacks of carotid arterial system.

Authors:  Xiaoyu Dong; Chaobo Bai; Jianfei Nao
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Review 2.  [Prediction in cerebrovascular diseases].

Authors:  G F Hamann
Journal:  Nervenarzt       Date:  2014-10       Impact factor: 1.214

3.  Comparison of routine hematological indicators of liver and kidney function, blood count and lipid profile in healthy people and stroke patients.

Authors:  Xiaofang Cui; Wei Wei; Xiao Qin; Fei Hou; Jin Zhu; Weiyang Li
Journal:  PeerJ       Date:  2020-02-07       Impact factor: 2.984

4.  CT Angiography and Presentation NIH stroke Scale in Predicting TIA in Patients Presenting with Acute Stroke Symptoms.

Authors:  Bedriye Karaman; James Selph; Joselyn Burdine; Cole Blease Graham; Souvik Sen
Journal:  J Neurol Disord       Date:  2013-11-08

5.  Electrocardiogram-based scoring system for predicting secondary pulmonary hypertension: A cross-sectional study.

Authors:  Samir Bipin Pancholy; Ghanshyam Palamaner Subash Shantha; Nimesh Kirit Patel; Pranjal Boruah; Sukrut Nanavaty; Sindu Chandran; Arjinder Sethi; Jignesh Sheth
Journal:  JRSM Cardiovasc Dis       Date:  2014-09-09

6.  High ABCD2 Scores and In-Hospital Interventions following Transient Ischemic Attack.

Authors:  Shawna Cutting; Elizabeth Regan; Vivien H Lee; Shyam Prabhakaran
Journal:  Cerebrovasc Dis Extra       Date:  2016-10-08

Review 7.  Antiplatelet and anticoagulant agents for secondary prevention of stroke and other thromboembolic events in people with antiphospholipid syndrome.

Authors:  Malgorzata M Bala; Magdalena Celinska-Lowenhoff; Wojciech Szot; Agnieszka Padjas; Mateusz Kaczmarczyk; Mateusz J Swierz; Anetta Undas
Journal:  Cochrane Database Syst Rev       Date:  2017-10-02

8.  Antiplatelet and anticoagulant agents for secondary prevention of stroke and other thromboembolic events in people with antiphospholipid syndrome.

Authors:  Malgorzata M Bala; Magdalena Celinska-Lowenhoff; Wojciech Szot; Agnieszka Padjas; Mateusz Kaczmarczyk; Mateusz J Swierz; Anetta Undas
Journal:  Cochrane Database Syst Rev       Date:  2020-10-12

9.  Cost-Minimization Analysis of Computed Tomography versus Magnetic Resonance Imaging in the Evaluation of Patients with Transient Ischemic Attacks at a Large Academic Center.

Authors:  Evgeny V Sidorov; Wuwei Feng; Magdy Selim
Journal:  Cerebrovasc Dis Extra       Date:  2014-03-28

Review 10.  Clinical Risk Score for Predicting Recurrence Following a Cerebral Ischemic Event.

Authors:  Durgesh Chaudhary; Vida Abedi; Jiang Li; Clemens M Schirmer; Christoph J Griessenauer; Ramin Zand
Journal:  Front Neurol       Date:  2019-11-12       Impact factor: 4.003

  10 in total

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