scholarly journals Association between serum lipoprotein levels and neurological function in patients with acute ischemic stroke

Medicine ◽  
2020 ◽  
Vol 99 (20) ◽  
pp. e20258
Author(s):  
Yao-Jia Jiang ◽  
Zeng-Mian Wang ◽  
Ze-Yu Wang ◽  
Chun-Jie Wei
2019 ◽  
Vol 11 (3) ◽  
pp. 223-226
Author(s):  
Vinoth Kanna Selvaraj ◽  
◽  
Jamshid Khalid ◽  
Vasudevan Devanathan ◽  
Rajendran K ◽  
...  

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e12196
Author(s):  
Fei Chen ◽  
Zhenyu Dai ◽  
Lizheng Yao ◽  
Congsong Dong ◽  
Haicun Shi ◽  
...  

Background This work aimed to explore the association of cerebral microvascular perfusion and diffusion dynamics measured by intravoxel incoherent motion (IVIM) imaging with initial neurological function and clinical outcome in acute stroke. Methods In total, 39 patients were assessed with admission National Institutes of Health Stroke Scale (NIHSS) and day-90 modified Rankin Scale (mRS). The parametrical maps of IVIM were obtained, including apparent diffusion coefficient (ADC), pseudo-diffusion coefficient (D*), true diffusion coefficient (D) and perfusion fraction (f). The fD* was the product of f and D*. Moreover, the ratios of lesioned/contralateral parameters (rADC, rD, rD*, rf and rfD*) were also obtained. The differences of these parameters between the poor outcome group and good outcome group were evaluated. Partial correlation analysis was used to evaluate the correlations between the admission NIHSS/day-90 mRS and each parameter ratio, with lesion volumes controlled. Results The ADC, D, D*, f and fD* values of lesions were significantly reduced than those of the contralateral regions. The rADC and rD were significantly decreased in the poor outcome group than good outcome group (all p < 0.01). With lesion volume controlled, rADC showed a weak negative correlation (r = −0.340, p = 0.037) and a notable negative correlation (r = −0.688, p < 0.001) with admission NIHSS score and day-90 mRS score, respectively. In addition, rD showed a strong negative correlation (r = −0.731, p < 0.001) with day-90 mRS score. Conclusion Significant negative correlations were revealed between IVIM derived diffusion dynamics parameters and initial neurological function as well as clinical outcome for patients with acute ischemic stroke. IVIM can be therefore suggested as an effective non-invasive method for evaluating the acute ischemic stroke.


2015 ◽  
pp. 45-52
Author(s):  
Van Tam Le ◽  
Dinh Toan Nguyen ◽  
Trong Hao Vo ◽  
Vu Xuan Loc Doan

Background and Purpose: The studies showed that elevated inflammation indicators were an associated with risk for ischemic stroke and useful in prediction of ischemic tissue volume. We studied the association between serum lipoprotein-associated phospholipase A2 (Lp-PLA2) levels and clinical stroke severity, infarct volume in acute ischemic stroke. Methods: The cross – sectional study, in 119 patients who presented to Department of Cardiology and Intensive Care Unit – Hue Central Hospital; 115 controls. Stroke patients were evaluated with Glagow Coma Scale and National Institutes of Health Stroke Scale (NIHSS) and their serum Lp-PLA2 and hs-CRP level, plasma lipid profile, blood glucose were assessed. Results: The mean age of patients was 66.03 years, in controls was 63.49 years (p > 0.05). Patients who had stroke had higher median serum Lp-PLA2 level than controls (22.03 IU/ml vs 10.23 IU/ml; p < 0,05). The median Lp-PLA2 level were higher in patients who had greater stroke severity (lower Glagow Coma Scale score, higher NIHSS score) and were higher in patients who had larger volume strokes. There were strong correlation between Lp-PLA2 levels and Glasgow Coma Scale (r = -0.53; p < 0.05); Lp-PLA2 levels and NIHSS (r =0.51; p < 0.05); Lp-PLA2 levels and infarct tissue volume (r = 0.58; p < 0.05). Conclusion: Higher Lp-PLA2 levels was significantly associated with more severe neurological impairment and larger infarct size in patients who had acute ischemic stroke. This biomarker may be useful for rapid diagnosis and prediction of ischemic tissue volume in the early stage of ischemic stroke. Key words: Stroke, atherosclerosis, inflammation, biomarker


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