Literature DB >> 18625965

Metabolic syndrome and resistance to IV thrombolysis in middle cerebral artery ischemic stroke.

J F Arenillas1, L Ispierto, M Millán, D Escudero, N Pérez de la Ossa, L Dorado, C Guerrero, J Serena, J Castillo, A Dávalos.   

Abstract

OBJECTIVE: The metabolic syndrome (MetS) is a cluster of vascular risk factors associated with a prothrombotic state. We aimed to evaluate the impact of MetS on the response to systemic tPA treatment in patients with acute middle cerebral artery (MCA) ischemic stroke.
METHODS: We studied 100 consecutive patients with ischemic stroke with MCA occlusions on prebolus transcranial Doppler (TCD) examination treated with tPA following SITS-MOST criteria. MetS was diagnosed following AHA/NHLBI-2005 criteria. Resistance to thrombolysis was defined as the absence of TCD-assessed complete MCA recanalization 24 hours after tPA infusion. Infarct volume was measured on CT scans. Long-term clinical outcome was evaluated by the modified Rankin scale (mRS) score at day 90.
RESULTS: Fifty-eight (58%) patients fulfilled MetS criteria. Median prebolus NIH Stroke Scale score was 17. Forty (42%) patients showed resistance to clot dissolution, and 53 (53%) had poor clinical outcomes (mRS > 2). A multivariable-adjusted logistic regression model identified MetS as independently associated with resistance to thrombolysis (OR 4.7, 95% CI [1.7-13.6], p = 0.004). In the whole sample, MetS was associated with mRS > 2 (OR 2.4 [1.1-5.4], p = 0.03), although this association was no longer significant after multivariable adjustment. However, in patients with atherothrombotic stroke, MetS emerged as an independent predictor of poor long-term outcome (adjusted OR 13.9 [1.3-148.7], p = 0.02).
CONCLUSION: In our series, the metabolic syndrome was associated with a poor response to thrombolysis in patients with acute middle cerebral artery occlusions, as reflected by a higher resistance to clot dissolution.

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Year:  2008        PMID: 18625965     DOI: 10.1212/01.wnl.0000317092.21210.e6

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


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