Literature DB >> 16832771

[ApoE genotype influences on efficacy and safety of thrombolytic treatment for ischemic stroke].

I Fernández-Cadenas1, J Alvarez Sabín, C A Molina, M Ribó, A Rosell, A Penalba, L Ortega, J Montaner.   

Abstract

INTRODUCTION: Apolipoprotein E has been associated with intracerebral hemorrhages and with neurological outcome of ischemic stroke patients treated with rt-PA. Therefore, we hypothesized that ApoE genotype might influence the appearance of post-tPA hemorrhagic transformation and that the favorable outcome of E2 patients might be due to better rates of recanalization. PATIENTS AND METHODS: We analyzed the ApoE genotype of 77 patients with ischemic stroke involving the territory of the middle cerebral artery who received rt- PA within 3 h of symptoms onset. The hemorrhagic events were evaluated by computed tomography and the arterial recanalization by transcraneal doppler.
RESULTS: We did not observe any association between ApoE genotypes and the rates of hemorrhagic transformation following rt-PA treatment (E2 = 33.3 %, E3 = 32.7%, E4=11.8%; p=0.241). Rates of artery recanalization following thrombolysis were similar regarding ApoE genotypes at 1 hour post-tPA administration (E2=40%, E3+E4=45.9%; p=0.799), at 6 hours post-tPA (E2=80%, E3+E4=62.3 %; p=0.43) or at 24 hours post-tPA (E2= 100%, E3+E4=75%, p=0.203). No association was observed between ApoE genotypes and NIHSS scores at 48 hours (E2=8, E3+E4=12; p=0.811) nor with the modified ranking scale at 3 months (E2=1.5, E3+E4=4; p=0.350).
CONCLUSIONS: In our group of stroke patients, ApoE genotypes are not related with the presence of hemorrhagic transformations neither with the rates of recanalization following thrombolytic treatment.

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Year:  2006        PMID: 16832771

Source DB:  PubMed          Journal:  Neurologia        ISSN: 0213-4853            Impact factor:   3.109


  2 in total

1.  Gene-drug interaction in stroke.

Authors:  Serena Amici; Maurizio Paciaroni; Giancarlo Agnelli; Valeria Caso
Journal:  Stroke Res Treat       Date:  2011-11-10

Review 2.  Influences of genetic variants on stroke recovery: a meta-analysis of the 31,895 cases.

Authors:  Nikhil Math; Thang S Han; Irina Lubomirova; Robert Hill; Paul Bentley; Pankaj Sharma
Journal:  Neurol Sci       Date:  2019-07-29       Impact factor: 3.307

  2 in total

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