Correlation between bispectral index and prognosis of patients with acute cerebral infarction

2021 ◽  
Vol 18 ◽  
Author(s):  
Wei Qin ◽  
Shumei Wang ◽  
Lei Yang ◽  
Junliang Yuan ◽  
Shiqin Niu ◽  
...  
Keyword(s):  
Cerebral Infarction ◽  
Bispectral Index ◽  
Roc Curve ◽  
Rank Correlation ◽  
Good Prognosis ◽  
Acute Cerebral Infarction ◽  
Clinical Value ◽  
Consciousness Disturbance ◽  
Gcs Score ◽  
Prediction Of Prognosis

Introduction: This study aimed to investigate the clinical value of bispectral index (BIS) monitoring in assessing the consciousness and prognosis of acute cerebral infarction (ACI) patients. Methods: In total, 64 patients who suffered from ACI with consciousness disturbance were enrolled in this study. Glasgow Coma Scale (GCS) was performed to evaluate the consciousness level of ACI patients, and BIS was used to monitor the depth of anesthesia and sedation. Then, patients were divided into good prognosis, poor prognosis and death groups according to modified Rankin score (mRS). Discrimination analysis of BIS values and GCS score for the prediction of prognosis was performed using the receiver operator characteristic (ROC) curve. Results: GCS score and BIS values showed statistically significant differences among the three groups. Spearman rank correlation analysis revealed a significant positive correlation between BIS values and GCS score, while BIS values was negatively related with mRS. The ROC curve of prognosis prediction showed strong prognostic power, with area under the curves (AUCs) between 0.830 and 0.917. Moreover, the AUC of BISmean score was higher than that of BISmax, BISmin and GCS, and BISmean of 74 was the best cut-off point for good prognosis. Conclusion: BIS directly reflects the degree of consciousness disturbance in ACI patients, and thus accurately predicts the prognosis, indicating potential application values of BIS in clinical practice.

scholarly journals Expression of miR-210, miR-137, and miR-153 in Patients with Acute Cerebral Infarction

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Hongtao Tian ◽  
Yan Zhao ◽  
Chao Du ◽  
Xiao Zong ◽  
Xiuping Zhang ◽  
...  
Keyword(s):  
Cerebral Infarction ◽  
Roc Curve ◽  
Area Under Curve ◽  
Diagnostic Value ◽  
Acute Cerebral Infarction ◽  
High Expression ◽  
Control Group ◽  
Observation Group ◽  
High Expression Group ◽  
Low Expression

Aim. To explore the expression levels of miR-210, miR-137, and miR-153 in patients with acute cerebral infarction. Material and Methods. 76 patients with acute cerebral infarction treated in our hospital from April 2016 to October 2017 were enrolled as the observation group. Another 64 normal patients were selected as the control group. The patients were divided into the death and survival groups based on 1-year mortality of patients. qRT-PCR was used to detect the expression of miR-210, miR-137, and miR-153 in the serum of each group. Receiver operating characteristic (ROC) curve was employed to analyze the diagnostic value and predictive value of miR-210, miR-137 and miR-153 death in patients. The correlation between miR-210, miR-137, and miR-153 in the serum of the observation group was analyzed by Pearson’s test. Results. Levels of miR-210 and miR-137 in the observation group were significantly lower than those in the control group, while levels of miR-153 in the observation group were significantly higher than those in the control group (all P < 0.05 ). The ROC curve of diagnosis of acute cerebral infarction showed that the area under curve of miR-210 was 0.836, that of miR-137 was 0.843, and that of miR-153 was 0.842. The 1-year survival rate was 71.05%. The 1-year survival of the low-expression group of miR-210 and miR-137 was significantly lower than that of the high-expression group, while the 1-year survival of the low-expression group of miR-153 was significantly higher than that of the high-expression group (all P < 0.05 ). The ROC curve for predicting death showed that the area under curve of miR-210 was 0.786, that of miR-137 was 0.824, and that of miR-153 was 0.858. Pearson’s correlation analysis showed that the expression of miR-210 was positively correlated with that of miR-137, while miR-137 was negatively correlated with that of miR-153 and miR-210 was negatively correlated with that of miR-153. Conclusion. miR-210, miR-137, and miR-153 have a certain value in the diagnosis and prediction of 1-year death of acute cerebral infarction and may be potential diagnostic and predictive indicators.

scholarly journals Emergency thrombectomy for cerebrovascular occlusion in a patient with mirror-image dextrocardia: a case report

2022 ◽  
Vol 50 (1) ◽  
pp. 030006052110727
Author(s):  
Wensheng Zhang ◽  
Weifang Xing ◽  
Xiaojing Zhong ◽  
Minzhen Zhu ◽  
Jinzhao He
Keyword(s):  
Blood Flow ◽  
Cerebral Infarction ◽  
Balloon Dilation ◽  
Good Prognosis ◽  
Mirror Image ◽  
Acute Cerebral Infarction ◽  
Large Vessel ◽  
Large Vessel Occlusion ◽  
Vessel Occlusion ◽  
Cerebrovascular Occlusion

Cases of patients complicated with dextrocardia who suffer from acute cerebral infarction with large vessel occlusion and receive emergency thrombectomy are particularly rare and have not been widely reported. This article aimed to increase the awareness and knowledge of these cases. We report the case of a patient with mirror-image dextrocardia who suffered from cerebral infarction with large vessel occlusion and received emergency thrombectomy. A male patient in his early 60s with dextrocardia had acute cerebral infarction with posterior circulation large vessel occlusion and underwent emergency thrombectomy. During the operation, the rapid confirmation of dextrocardia and use of flexible interventional instruments helped establish a pathway for blood flow. We used an intracranial thrombectomy stent and intracranial balloon dilation catheter to restore the cerebral blood supply. The Modified Rankin Scale score was 0 at 3 months after thrombectomy, indicating a good prognosis of the patient. Acute cerebral infarction with large vessel occlusion in patients with dextrocardia is extremely rare. Emergency thrombectomy is feasible to recanalize cerebral blood flow and give patients a chance to recover.

scholarly journals The value of glycosylated hemoglobin in the diagnosis of diabetic retinopathy: a systematic review and Meta-analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Bo Zhang ◽  
Bingjie Zhang ◽  
Zhulin Zhou ◽  
Yutong Guo ◽  
Dan Wang
Keyword(s):  
Diabetic Retinopathy ◽  
Likelihood Ratio ◽  
Roc Curve ◽  
Meta Analysis ◽  
Glycosylated Hemoglobin ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Biomedical Literature ◽  
Cochrane Library ◽  
Clinical Value

AbstractObjectiveGlycosylated hemoglobin (HbA1c) has obvious clinical value in the diagnosis of diabetes, but the conclusions on the diagnostic value of diabetic retinopathy (DR) are not consistent. This study aims to comprehensively evaluate the accuracy of glycosylated hemoglobin in the diagnosis of diabetic retinopathy through the meta-analysis of diagnostic tests.MethodsCochrane Library, Embase, PubMed, Web of Science, China National Knowledge Infrastructure (CNKI), China Wanfang Database, Chinese Biomedical Literature Database (CBM) were searched until November, 2020. The Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool was used to assess the quality of the included studies. The pooled sensitivity, specificity, positive likelihood ratio (+LR), negative likelihood ratio (-LR), diagnostic odds ratio (DOR) and areas under the receiver operating characteristic (ROC) curve were calculated by Stata 15.0 software.ResultsAfter screening, 18 high-quality papers were included. The results of meta-analysis showed that the combined DOR = 18.19 (95% CI: 10.99–30.11), the sensitivity= 0.81 (95% CI): 0.75 ~ 0.87), specificity = 0.81 (95%CI: 0.72 ~ 0.87), +LR = 4.2 (95%CI: 2.95 ~ 6.00), −LR = 0.23 (95%CI: 0.17 ~ 0.31), and the area under the Summary ROC curve was 0.88 (95%CI:  0.85 ~ 0.90).ConclusionThe overall accuracy of HbA1cC forin diagnosing diabetic retinopathy is good. As it is more stable than blood sugar and is not affected by meals, it may be a suitable indicator for diabetic retinopathy.

Sign in / Sign up

Export Citation Format

Share Document