Literature DB >> 11739973

Carotid stenosis: factors affecting symptomatology.

C D Liapis1, J D Kakisis, A G Kostakis.   

Abstract

BACKGROUND AND
PURPOSE: The ability to predict future strokes in asymptomatic patients with carotid stenosis is currently limited. The management of symptomatic patients with <50% stenosis is also debatable. In this context, we performed the following open prospective study to identify factors affecting symptomatology in patients with carotid stenosis.
METHODS: During 1988-1997, 442 arteries with various degrees of stenosis were followed with the use of color Duplex ultrasonography every 6 months. The main outcome measures were development of symptoms related to the carotid territory and progression in the degree of stenosis. Results of follow-up were analyzed in relation to the traditional risk factors for atherosclerosis as well as the ultrasonographic characteristics of the plaques. Statistical analysis was performed by multiple linear and Cox regression analysis.
RESULTS: Mean duration of follow-up was 44 months (range, 12 to 120 months). Significant progression of stenosis occurred in 18.5% of the cases and was more frequent in younger patients (P=0.09), in patients with coronary artery disease (P=0.02), and in patients with echolucent plaques (P=0.02). In regard to clinical presentation, men (P=0.07), hypertensives (P=0.07), and patients with echolucent plaques (P=0.09) showed a trend toward higher frequency of stroke in their history. During the follow-up period, neurological events developed in 12.4% of the cases and were associated with the severity of carotid disease (P<0.001), history of neurological events (P=0.02), progression of stenosis (P=0.002), echolucent plaques (P=0.01), and hypertension (P=0.02).
CONCLUSIONS: Factors other than degree of stenosis and history of neurological events are also important in determining high-risk carotid plaque. In our study hypertension, echolucent plaques, and progressive lesions were associated with an increased risk of neurological events. These factors should be taken into consideration in determining treatment strategies for carotid stenosis.

Entities:  

Mesh:

Year:  2001        PMID: 11739973     DOI: 10.1161/hs1201.099797

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  21 in total

1.  Predictors of neurocognitive decline after carotid endarterectomy.

Authors:  J Mocco; David A Wilson; Ricardo J Komotar; Joseph Zurica; William J Mack; Hadi J Halazun; Raheleh Hatami; Robert R Sciacca; E Sander Connolly; Eric J Heyer
Journal:  Neurosurgery       Date:  2006-05       Impact factor: 4.654

2.  The relationship between the polymorphism of SG13S114 A/T in ALOX5AP gene and the vulnerability of carotid atherosclerosis in Chinese Han population.

Authors:  Xiaoping Jin; Yinglei He; Min Zhu; Xianfang Lin; Qiuyue Chen; Zhao Han; Xiaoya Huang; Feng Wang
Journal:  Int J Clin Exp Med       Date:  2010-01-01

3.  Risk factors for periprocedural complications in carotid artery stenting without filter protection: A serial diffusion-weighted MRI study.

Authors:  Hilmar Krapf; Thomas Nägele; Andreas Kastrup; Udo Bühring; Eckehard Grönewäller; Martin Skalej; Wilhelm Küker
Journal:  J Neurol       Date:  2005-10-01       Impact factor: 4.849

4.  Optimal 4DFlow MR sequence parameters for the assessment of internal carotid artery stenosis: a simulation study.

Authors:  Myriam Edjlali; Catherine Oppenheim; Joseph Benzakoun; Pauline Roca; David Calvet; Olivier Naggara; Stéphanie Lion; Marie-Pierre Gobin-Metteil; Sylvain Charron; Victoria Cavero; Jean-François Meder
Journal:  Neuroradiology       Date:  2019-06-13       Impact factor: 2.804

5.  Early hemodynamic characteristics of eversion and patch carotid endarterectomies.

Authors:  Jesse Chait; Michael Nicoara; Pavel Kibrik; Yuriy Ostrozhynskyy; Natalie Marks; Sareh Rajaee; Anil Hingorani; Enrico Ascher
Journal:  J Ultrasound       Date:  2019-05-08

6.  Effects of carotid or vertebrobasilar stent placement on cerebral perfusion and cognition.

Authors:  Roham Moftakhar; Aquilla S Turk; David B Niemann; Sayed Hussain; Sharad Rajpal; Thomas Cook; Madeleine Geraghty; Beverly Aagaard-Kienitz; Patrick A Turski; George C Newman
Journal:  AJNR Am J Neuroradiol       Date:  2005-08       Impact factor: 3.825

7.  In vitro characterization of atherosclerotic carotid plaque with multidetector computed tomography and histopathological correlation.

Authors:  Thomas T de Weert; Mohamed Ouhlous; Pieter E Zondervan; Johanna M Hendriks; Diederik W J Dippel; Marc R H M van Sambeek; Aad van der Lugt
Journal:  Eur Radiol       Date:  2005-04-02       Impact factor: 5.315

8.  Sixty-four-section CT cerebral perfusion evaluation in patients with carotid artery stenosis before and after stenting with a cerebral protection device.

Authors:  F Gaudiello; V Colangelo; F Bolacchi; M Melis; R Gandini; F G Garaci; V Cozzolino; R Floris; G Simonetti
Journal:  AJNR Am J Neuroradiol       Date:  2008-02-22       Impact factor: 3.825

9.  Bioinformatics Gene Analysis of Potential Biomarkers and Therapeutic Targets for Unstable Atherosclerotic Plaque-Related Stroke.

Authors:  Shaojiong Zhou; Shuo Liu; Xiaoqiang Liu; Weiduan Zhuang
Journal:  J Mol Neurosci       Date:  2020-11-06       Impact factor: 3.444

10.  Carotid intraplaque neovascularisation as a predictive factor for future vascular events in patients with mild and moderate carotid stenosis: an observational prospective study.

Authors:  Liuping Cui; Yingqi Xing; Yangyang Zhou; Lijuan Wang; Kangding Liu; Daofu Zhang; Ying Chen
Journal:  Ther Adv Neurol Disord       Date:  2021-06-19       Impact factor: 6.570

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.