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振幅整合脑电图评分联合 ox-LDL/HDL 比值、hs-CRP/Alb 比值、 FAR 对急性脑梗死患者预后的预测价值.

Authors :
张艳阳
蔡建叶
邱玉坤
杨 娟
唐玉彬
Source :
Progress in Modern Biomedicine. 2024, Vol. 24 Issue 12, p2391-2395. 5p.
Publication Year :
2024

Abstract

To investigate the predictive value of amplitude integrated electroencephalogram (aEEG) score combine with oxidized low-density lipoprotein/high-density lipoprotein (ox-LDL/HDL) ratio, high-sensitivity C-reactive protein/albumin (hs-CRP/Alb) ratio and fibrinogen/albumin ratio (FAR) on the prognosis of patients with acute cerebral infarction (ACI). 242 ACI patients admitted to our hospital from January 2021 to December 2022 were selected, all patients underwent aEEG examination to obtain aEEG score, and serum ox-LDL/HDL ratio, hs-CRP/Alb ratio and FAR were detected. The modified Rankin scale (mRS) was used to evaluate the prognosis of patients 3 months after discharge. The clinical data of ACI patients were collected, and the influencing factors of poor prognosis of ACI patients were analyzed by multivariate Logistic regression. The efficacy of aEEG score, serum ox-LDL/HDL ratio, hs-CRP/Alb ratio and FAR in predicting the prognosis of ACI patients were analyzed by receiver operating characteristic (ROC) curve. The aEEG score, serum ox-LDL/HDL ratio, hs-CRP/Alb ratio and FAR in poor prognosis group were higher than those in good prognosis group(P<0.05). Multiple cerebral infarction lesions, high NHISS score, high aEEG score, high ox-LDL/HDL ratio, high hs-CRP/Alb ratio and high FAR were risk factors for poor prognosis in ACI patients (P<0.05). The area under the curve of aEEG score, serum ox-LDL/HDL ratio, hs-CRP/Alb ratio and FAR in predicting the prognosis of ACI patients were 0.793, 0.759, 0.777 and 0.821 respectively. The area under the curve of combined prediction was 0.915, which was higher than that of single index prediction. The aEEG score, ox-LDL/HDL ratio, hs-CRP/Alb ratio and FAR are increase in patients with poor prognosis of ACI. The combined application of the above indicators has a high value in predicting the poor prognosis of ACI patients. [ABSTRACT FROM AUTHOR]

Details

Language :
Chinese
ISSN :
16736273
Volume :
24
Issue :
12
Database :
Academic Search Index
Journal :
Progress in Modern Biomedicine
Publication Type :
Academic Journal
Accession number :
178303972
Full Text :
https://doi.org/10.13241/j.cnki.pmb.2024.12.038