Literature DB >> 18290851

Differential diagnosis of cerebral infarction using an algorithm combining atrial fibrillation and D-dimer level.

N Dougu1, S Takashima, E Sasahara, Y Taguchi, S Toyoda, T Hirai, T Nozawa, K Tanaka, H Inoue.   

Abstract

We created an algorithm for diagnosing subtypes of cerebral infarction (CI) during the acute stage by combining atrial fibrillation (AF) and D-dimer levels. One-hundred and eight patients hospitalized for acute CI were retrospectively analyzed. CI was classified into cardioembolic, atherothrombotic, lacunar infarction or others. Patients were classified in AF group if they had AF on admission or a prior history of AF. This group was diagnosed to suffer cardioembolic infarction. In non-AF group, cardioembolic infarction was diagnosed when D-dimer level exceeded the cutoff point determined using a receiver operating curve. Then, usefulness of the algorithm was validated prospectively in 259 consecutive patients with acute CI. For the retrospective group, cardioembolic infarction was found in 82% of the AF group. In non-AF group, cardioembolic infarction was found in only 2%, when D-dimer level was <1.6 microg/ml. However, 41% of non-AF group with atherothrombotic infarction had elevated D-dimer level (> or =1.6 microg/ml). Results for the validation group were similar to those for the retrospective group (sensitivity, 89%; specificity, 66%; positive predictive value, 50%; and negative predictive value, 94%). D-dimer level in combination with AF can be useful for distinguishing CI subtypes during the acute stage.

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Year:  2008        PMID: 18290851     DOI: 10.1111/j.1468-1331.2008.02063.x

Source DB:  PubMed          Journal:  Eur J Neurol        ISSN: 1351-5101            Impact factor:   6.089


  7 in total

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2.  Advanced age, low left atrial appendage velocity, and factor V promoter sequence variation as predictors of left atrial thrombosis in patients with nonvalvular atrial fibrillation.

Authors:  Dmitry A Zateyshchikov; Alexey N Brovkin; Dimitry A Chistiakov; Valery V Nosikov
Journal:  J Thromb Thrombolysis       Date:  2010-08       Impact factor: 2.300

3.  Predictors of poor outcome in patients with acute cerebral infarction.

Authors:  Nobuhiro Dougu; Shutaro Takashima; Etsuko Sasahara; Yoshiharu Taguchi; Shigeo Toyoda; Tadakazu Hirai; Takashi Nozawa; Kortaro Tanaka; Hiroshi Inoue
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Review 4.  Point-of-Care-Testing in Acute Stroke Management: An Unmet Need Ripe for Technological Harvest.

Authors:  Dorin Harpaz; Evgeni Eltzov; Raymond C S Seet; Robert S Marks; Alfred I Y Tok
Journal:  Biosensors (Basel)       Date:  2017-08-03

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6.  Transesophageal echocardiographic findings are independent and relevant predictors of ischemic stroke in patients with nonvalvular atrial fibrillation.

Authors:  Shutaro Takashima; Keiko Nakagawa; Tadakazu Hirai; Nobuhiro Dougu; Yoshiharu Taguchi; Etsuko Sasahara; Kazumasa Ohara; Nobuyuki Fukuda; Hiroshi Inoue; Kortaro Tanaka
Journal:  J Clin Neurol       Date:  2012-09-27       Impact factor: 3.077

7.  Plasma D-dimer levels are associated with stroke subtypes and infarction volume in patients with acute ischemic stroke.

Authors:  Wen-Jie Zi; Jie Shuai
Journal:  PLoS One       Date:  2014-01-20       Impact factor: 3.240

  7 in total

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