Predictors of recurrent ischemic stroke


如何引用文章

全文:

开放存取 开放存取
受限制的访问 ##reader.subscriptionAccessGranted##
受限制的访问 订阅或者付费存取

详细

The authors have investigated the correlations between clinical, biochemical, metabolic, vascular inflammatory, and molecular genetic parameters and the development of recurrent ischemic stroke; a prognostic model for determining the probability of its occurrence has been constructed.

全文:

受限制的访问

作者简介

V. Shishkova

Center for Speech Pathology and Neurorehabilitation, Moscow Healthcare Department

Email: veronika-1306@mail.ru

T. Adasheva

A.I. Evdokimov Moscow State University of Medicine and Dentistry

Email: veronika-1306@mail.ru

A. Remennik

Center for Speech Pathology and Neurorehabilitation, Moscow Healthcare Department

Email: veronika-1306@mail.ru

V. Valyaeva

Center for Speech Pathology and Neurorehabilitation, Moscow Healthcare Department

Email: veronika-1306@mail.ru

V. Shklovsky

Center for Speech Pathology and Neurorehabilitation, Moscow Healthcare Department

Email: veronika-1306@mail.ru

参考

  1. Инсульт. Руководство для врачей. Под ред. С.В. Котова, Л.В. Стаховской / М.: МИА, 2013.
  2. Гусев Е.И., Коновалов А.Н., Скворцова В.И. и др. Неврология: Национальное руководство / М.: ГЭОТАР-Медиа, 2009; 1040 с.
  3. O’Donnell M., Xavier D., Liu L. et al. INTERSTROKE Investigators. Risk factors for ischemic and intracerebral hemorrhagic stroke in 22 countries (the INTERSTROKE study): a case-control study // Lancet. - 2010; 376: 112-23. doi: 10.1016/S0140-6736(10)60834-3.
  4. Авдонина М.А., Наседкина Т.В., Иконникова А.Ю. и др. Исследование ассоциации полиморфных маркеров генов F12, PON1, PON2, NOS2, PDE4D, HIFla, GPIba, CYP11B2 с ишемическим инсультом среди русского населения Центральной России // Журн. неврол. и психиат. им. С.С. Корсакова. - 2012; 112 (2): 51-4.
  5. Шишкова В.Н., Ременник А.Ю., Валяева В.Н. и др. Изучение ассоциаций полиморфных вариантов генов липидного и углеводного обменов, сосудистого воспаления и нейротрансмиттерных систем с развитием первого ишемического инсульта // Кардиоваск. тер. и профилакт. - 2017; 16 (5): 27-33. doi: 10.15829/1728-8800-2017-5-27-33.
  6. Rothwell P., Giles M., Flossmann E. A simple score (ABCD) to identify individuals at high early risk of stroke after transient ischaemic attack // Lancet. -2005; 366 (9479): 29-36.
  7. Weimar Ch., Diener H.-Ch., Alberts M. et al. The Essen Stroke of Risk Score predicts recurrent cardiovascular events // Stroke. - 2009; 40: 350-4.
  8. Hixson J., Vernier D. Restriction isotyping of human apolipoprotein E by gene amplification and cleavage with HhaI // J. Lipid Res. - 1990; 31 (3): 545-8.
  9. Greenberg D., Kunlin J. Vascular Endothelial Growth Factors (VEGFs) and Stroke // Cell Mol. Life Sci. - 2013; 70 (10): 1753-61. doi: 10.1007/s00018-013-1282-8.
  10. Liu X., Liu J., Zhao S. et al. Interleukin-4 is essential for microlia/ macrophage M2 polarization and long-term recovery after cerebral ischemia // Stroke. - 2016; 47: 498-504. doi: 10.1161/STROKEAHA.115.012079.
  11. Prugger C., Luc G., Haas B. et al. Adipocytokines and the risk of ischemic stroke: the PRIME Study // Arterioscler. Thromb. Vasc Biol. - 2013; 33 (3): 659-66. doi: 10.1161/ATVBAHA.112.300109.
  12. Arregui M., Buijsse B., Fritsche A. et al. Adiponectin and risk of stroke: prospective study and meta-analysis // Stroke. - 2014; 45 (1): 10-7. DOI: 10.1161/ STROKEAHA.113.001851.
  13. Moons K., Bots M., Salonen J. et al. Prediction of stroke in the general population in Europe (EUROSTROKE): is there a role for fibrinogen and electrocardiograhhy? // J. Epidemiol. Community Health. - 2002; 56: 30-6. doi: 10.1136/jech.56.suppl_1.i30.
  14. Lee J.-W., Lim H.-S., Kim D.-W. et al. The development and implementation of stroke risk prediction model in National Health Insurance Service's personal health record // Computer Methods and Programs in Biomedicine. - 2018; 153: 253-7. doi: 10.1016/j.cmpb.2017.10.007.
  15. Wolf P., D’Agostino R., Belanger A. et al. Probability of stroke a risk profile from the Framingham study // Stroke. - 1991; 22: 312-8.
  16. Zhang X.-F., Attia J., D’Este C. et al. A risk score predicted coronary heart disease and stroke in a Chinese cohort // J. Clin. Epidemiol. - 2005; 58: 951-8. doi: 10.1016/j.jclinepi.2005.01.013.
  17. Jee S., Park J., Lee S.-Y. et al. Stroke risk prediction model: a risk from the Korean study // Atherosclerosis. - 2008; 197: 318-25. DOI: 10.1016/j. atherosclerosis.2007.05.014.

补充文件

附件文件
动作
1. JATS XML
下载

版权所有 © Russkiy Vrach Publishing House, 2018
##common.cookie##