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1.
Artigo em Russo | MEDLINE | ID: mdl-28091507

RESUMO

AIM: Metabolic syndrome (MS) - is a complex of metabolic, hormonal and clinical disorders which are risk factors for cardiovascular disease. The study aimed to determine the markers NSE, GFAP, MMP-9 in patients with MS and to assess their prognostic value in the development of acute stroke. MATERIAL AND METHODS: A cross-sectional analytical studyincluded 157 patients stratified into 4groups (control group, patients with MS, patients with ischemic stroke and patients with ischemic stroke and MS). Laboratory examinations included measurements of MS parameters(total cholesterol, blood glucose, cholesterol, HDL and LDL, triglycerides) and concentrations of neurospecific markers NSE, GFAP and MMP-9 by ELISA. RESULTS AND CONCLUSION: A relationship between MS and increased concentration of NSE is found. This indicates the presence of neuronal brain injury in patients with metabolic syndrome. There were no changesin the concentrations of GFAP and MMP-9 in patients with MS.


Assuntos
Doenças Cardiovasculares/sangue , Síndrome Metabólica/sangue , Fosfopiruvato Hidratase/sangue , Triglicerídeos/sangue , Adulto , Biomarcadores , Glicemia , Colesterol , Estudos Transversais , Proteína Glial Fibrilar Ácida/sangue , Humanos , Metaloproteinase 9 da Matriz/sangue , Fatores de Risco , Acidente Vascular Cerebral
2.
Zh Nevrol Psikhiatr Im S S Korsakova ; 114(3 Pt 2): 51-4, 2014.
Artigo em Russo | MEDLINE | ID: mdl-24781242

RESUMO

Objectives. To develop a mathematical model of stroke probability in the individual patient and social groups. Material and methods. A large amount of laboratory research was performed in a hospital of Karaganda city. Correlations between the event "stroke"and 35 risk factors were determined. A regression model "stroke-risk factors"was developed using logistic regression method. Results and сonclusions. The equations obtained in the study allow to predict the probability of stroke. Since the regression equation is inherently close to the determined one, it can be differentiated. First derivative of the probability of each of the risk factors allowed us to determine the rate of increase of probability. This provision is new.

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