Literature DB >> 23536377

Leptomeningeal collaterals are associated with modifiable metabolic risk factors.

Bijoy K Menon1, Eric E Smith, Shelagh B Coutts, Donald G Welsh, James E Faber, Mayank Goyal, Michael D Hill, Andrew M Demchuk, Zaheed Damani, Kyung-Hee Cho, Hyuk-Won Chang, Jeong-Ho Hong, Sung Il Sohn.   

Abstract

OBJECTIVE: We sought to identify potentially modifiable determinants associated with variability in leptomeningeal collateral status in patients with acute ischemic stroke.
METHODS: Data are from the Keimyung Stroke Registry. Consecutive patients with M1 segment middle cerebral artery ± intracranial internal carotid artery occlusions on baseline computed tomographic angiography (CTA) from May 2004 to July 2009 were included. Baseline and follow-up imaging was analyzed blinded to all clinical information. Two raters assessed leptomeningeal collaterals on baseline CTA by consensus, using a previously validated regional leptomeningeal score (rLMC).
RESULTS: Baseline characteristics (N = 206) were: mean age = 66.9 ± 11.6 years, median baseline National Institutes of Health Stroke Scale = 14 (interquartile range [IQR] = 11-20), and median time from stroke symptom onset to CTA = 166 minutes (IQR = 96-262). Poor collateral status at baseline (rLMC score = 0-10) was seen in 73 of 206 patients (35.4%). On univariate analyses, patients with poor collateral status at baseline were older; were hypertensive; had higher white blood cell count, blood glucose, D-dimer, and serum uric acid levels; and were more likely to have metabolic syndrome. Multivariate modeling identified metabolic syndrome (odds ratio [OR] = 3.22, 95% confidence interval [CI] = 1.69-6.15, p < 0.001), hyperuricemia (per 1mg/dl serum uric acid; OR = 1.35, 95% CI = 1.12-1.62, p < 0.01), and older age (per 10 years; OR = 1.34, 95% CI = 1.02-1.77, p = 0.03) as independent predictors of poor leptomeningeal collateral status at baseline.
INTERPRETATION: Metabolic syndrome, hyperuricemia, and age are associated with poor leptomeningeal collateral status in patients with acute ischemic stroke.
© 2013 American Neurological Association.

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Year:  2013        PMID: 23536377      PMCID: PMC3836863          DOI: 10.1002/ana.23906

Source DB:  PubMed          Journal:  Ann Neurol        ISSN: 0364-5134            Impact factor:   10.422


  37 in total

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2.  The independent predictive utility of computed tomography angiographic collateral status in acute ischaemic stroke.

Authors:  Ferdinand Miteff; Christopher R Levi; Grant A Bateman; Neil Spratt; Patrick McElduff; Mark W Parsons
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3.  Wide genetic variation in the native pial collateral circulation is a major determinant of variation in severity of stroke.

Authors:  Hua Zhang; Pranay Prabhakar; Robert Sealock; James E Faber
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4.  Endothelial nitric oxide synthase deficiency causes collateral vessel rarefaction and impairs activation of a cell cycle gene network during arteriogenesis.

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5.  Metabolic syndrome and the risk of ischemic heart disease and stroke among Japanese men and women.

Authors:  Hiroyasu Iso; Shinichi Sato; Akihiko Kitamura; Hironori Imano; Masahiko Kiyama; Kazumasa Yamagishi; Renzhe Cui; Takeshi Tanigawa; Takashi Shimamoto
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6.  The pattern of leptomeningeal collaterals on CT angiography is a strong predictor of long-term functional outcome in stroke patients with large vessel intracranial occlusion.

Authors:  Fabricio O Lima; Karen L Furie; Gisele S Silva; Michael H Lev; Erica C S Camargo; Aneesh B Singhal; Gordon J Harris; Elkan F Halpern; Walter J Koroshetz; Wade S Smith; Albert J Yoo; Raul G Nogueira
Journal:  Stroke       Date:  2010-09-09       Impact factor: 7.914

7.  Collateral vessels on CT angiography predict outcome in acute ischemic stroke.

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8.  Inflammatory and hemostatic biomarkers associated with early recurrent ischemic lesions in acute ischemic stroke.

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9.  The metabolic syndrome is associated with a higher resistance to intravenous thrombolysis for acute ischemic stroke in women than in men.

Authors:  Juan F Arenillas; Patricio Sandoval; Natalia Pérez de la Ossa; Mónica Millán; Cristina Guerrero; Domingo Escudero; Laura Dorado; Elena López-Cancio; José Castillo; Antoni Dávalos
Journal:  Stroke       Date:  2008-12-24       Impact factor: 7.914

Review 10.  Uric acid and cardiovascular risk.

Authors:  Daniel I Feig; Duk-Hee Kang; Richard J Johnson
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  70 in total

1.  Genetic variation in retinal vascular patterning predicts variation in pial collateral extent and stroke severity.

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2.  Impact of stroke co-morbidities on cortical collateral flow following ischaemic stroke.

Authors:  Ifechukwude J Biose; Deborah Dewar; I Mhairi Macrae; Christopher McCabe
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Review 3.  Vascular remodeling after ischemic stroke: mechanisms and therapeutic potentials.

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Review 4.  Contributions of Aging to Cerebral Small Vessel Disease.

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5.  FLAIR vascular hyperintensities and functional outcome in nonagenarians with anterior circulation large-vessel ischemic stroke treated with endovascular thrombectomy.

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Review 6.  Collaterals: Implications in cerebral ischemic diseases and therapeutic interventions.

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7.  The Need for Better Data on Patients with Acute Stroke Who Are Not Treated Because of Unfavorable Imaging.

Authors:  M Goyal; B K Menon; M A Almekhlafi; A Demchuk; M D Hill
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8.  Variants of Rab GTPase-Effector Binding Protein-2 Cause Variation in the Collateral Circulation and Severity of Stroke.

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9.  The impact of native leptomeningeal collateralization on rapid blood flow recruitment following ischemic stroke.

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10.  Effect of the Interaction between Recanalization and Collateral Circulation on Functional Outcome in Acute Ischaemic Stroke.

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