Correlation between stroke types, lesion location and degree under the background of aging
DOI: 10.23977/jfmsr.2021.010207 | Downloads: 2 | Views: 114
Yinrui Guan 1, Bing Xu 1
1 Affiliated Hospital of Shaanxi University of Traditional Chinese Medicine, Xianyang 712000, Shaanxi, China
Corresponding AuthorBing Xu
Objective: To explore the correlation between stroke types, lesion location and degree under the background of aging. Methods: 10ml venous blood samples were taken from all subjects at the time of admission, the third day and the seventh day after onset, and the levels of serum homocysteine (Hcy), whole blood C- reactive protein (CRP) and other biochemical indexes were detected. Serum S100β concentration was determined by immunochromatography, and PARK7 content was determined by ELISA. Results: The occurrence of stroke events was closely related to the degree of blood glucose, total cholesterol, low density lipoprotein, homocysteine, C-reactive protein and triglyceride, but not to the degree of high-density lipoprotein. The neurological deficit score in CI group showed that the more serious the disease was, the higher the plasma Hcy concentration was. There was no significant correlation between age and NHISS score. Conclusion: Plasma Hcy level in patients with acute stroke reflects the severity of their illness, which is helpful to evaluate prognosis and guide clinical treatment.
KEYWORDSAging, Stroke, Homocysteine, Pathological changes, Relativity
CITE THIS PAPER
Yinrui Guan, Bing Xu. Correlation between stroke types, lesion location and degree under the background of aging. Journal of Frontiers in Medical Science Research (2021) Vol. 1: 39-44. DOI: http://dx.doi.org/10.23977/jfmsr.2021.010207
 Noor A, Mustafa H, Ali S A, et al. Correlation between plasma D-dimer level and lesion volume in acute ischemic stroke [J]. Journal of Postgraduate Medical Institute, 2020, 34(2): 87-90.
 Pinto A, Pereira S, R Meier, et al. Combining unsupervised and supervised learning for predicting the final stroke lesion [J]. Medical Image Analysis, 2020, 69(3): 101888.
 Umarova R M, Schumacher L V, Schmidt C, et al. Interaction between cognitive reserve and age moderates effect of lesion load on stroke outcome [J]. Scientific Reports, 2021, 11(1): 4478.
 Zhang L, Song R, Y Wang, et al. Ischemic Stroke Lesion Segmentation Using MULTI-PLANE Information Fusion [J]. IEEE Access, 2020, PP(99): 1-1.
 Aras B, Nal Z, Kesikburun S, et al. Response to Speech and Language Therapy According to Artery Involvement and Lesion Location in Post-stroke Aphasia [J]. Journal of Stroke and Cerebrovascular Diseases, 2020, 29(10): 105132.
 Sul B, Lee K B, Hong B Y, et al. Association of Lesion Location With Long-Term Recovery in Post-stroke Aphasia and Language Deficits [J]. Frontiers in Neurology, 2019, 10: 776.
 Pombo A F, Raposo I, Osorio N L, et al. Lesion location and other predictive factors of dysphagia and its complications in acute stroke [J]. Clinical Nutrition, 2019, 33: 178-182.
 Raphaely-Beer N, Katz-Leurer M, Soroker N. Lesion Configuration Effect on Stroke-Related Cardiac Autonomic Dysfunction [J]. Brain Research, 2020, 1733: 146711.
 A Clèrigues, Valverde S, Bernal J, et al. Acute and sub-acute stroke lesion segmentation from multimodal MRI [J]. Computer Methods and Programs in Biomedicine, 2020, 194: 105521.
 Yuan T, Rapp B. The effects of lesion and treatment-related recovery on functional network modularity in post-stroke dysgraphia [J]. NeuroImage: Clinical, 2019, 23: 101865.