PREDICTORS OF RECURRENT ISCHEMIC STROKE
DOI: https://doi.org/10.29296/25877305-2018-02-10
Issue:
2
Year:
2018
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.
Keywords:
ischemic stroke
predictors of recurrent stroke
prognostic model
References:
- Insul't. Rukovodstvo dlja vrachej. Pod red. S.V. Kotova, L.V. Stahovskoj / M.: MIA, 2013.
- Gusev E.I., Konovalov A.N., Skvortsova V.I. i dr. Nevrologija: Natsional'noe rukovodstvo / M.: GEOTAR-Media, 2009; 1040 s.
- 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.
- Avdonina M.A., Nasedkina T.V., Ikonnikova A.Ju. i dr. Issledovanie assotsiatsii polimorfnyh markerov genov F12, PON1, PON2, NOS2, PDE4D, HIFla, GPIba, CYP11B2 s ishemicheskim insul'tom sredi russkogo naselenija Tsentral'noj Rossii // Zhurn. nevrol. i psihiat. im. S.S. Korsakova. – 2012; 112 (2): 51–4.
- Shishkova V.N., Remennik A.Ju., Valjaeva V.N. i dr. Izuchenie assotsiatsij polimorfnyh variantov genov lipidnogo i uglevodnogo obmenov, sosudistogo vospalenija i nejrotransmitternyh sistem s razvitiem pervogo ishemicheskogo insul'ta // Kardiovask. ter. i profilakt. – 2017; 16 (5): 27–33. DOI: 10.15829/1728-8800-2017-5-27-33.
- 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.
- Weimar Ch., Diener H.-Ch., Alberts M. et al. The Essen Stroke of Risk Score predicts recurrent cardiovascular events // Stroke. – 2009; 40: 350–4.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Wolf P., D’Agostino R., Belanger A. et al. Probability of stroke a risk profile from the Framingham study // Stroke. – 1991; 22: 312–8.
- 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.
- 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.