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Objective: This research was conducted to discuss the recent prognosis of patients with acute cerebral infarction (ACI) combined with cerebral-cardiac syndrome (CCS). Method: Eighty-seven patients with ACI were selected, which were divided into the ACI group (52 patients) and the CCS group (35 patients) according to whether the CCS was combined, and another 30 health controls were selected as the control group. Serum hypoxia-inducible factor (HIF)-1α and vascular endothelial growth factor (VEGF) levels of subjects in each group at the 1st day, the 3rd day, and the 7th day after admission were measured by enzyme-linked immunosorbent assay. After discharge for 30 days, the National Institutes of Health Stroke Scale (NIHSS) and the modified Rankin Scale (mRS) score were utilized to evaluate the prognosis of patients. The role of serum HIF-1α and VEGF levels in the prognosis of ACI combined with CCS patients was assessed by receiver operating characteristic curve and the binary logistic regression analysis. Results: Higher serum HIF-1α and VEGF levels were observed in the CCS and ACI groups versus the control group, and the levels of which were even higher in the CCS group in comparison to the ACI group. According to the prognosis of the NIHSS score, fasting blood glucose (FBG), Acute Physiology and Chronic Health Evaluation II score, creatine kinase-MB (CK-MB), and HIF-1α and VEGF levels at the 7th day of admission were higher while Glasgow coma scale (GCS) score was lower in the poor prognosis group than those in the good prognosis group, and the area under the curve (AUC) of serum HIF-1α and VEGF levels was 0.895 (95% confident interval [CI], 0.786–1.000), and 0.855 (95% CI, 0.731–0.980). According to the prognosis of the mRS score, FBG, CK-MB, and HIF-1α and VEGF levels at the 7th day of admission were higher while GCS score was lower in the poor prognosis group than those in the good prognosis group, and the AUC of serum HIF-1α and VEGF levels was 0.850 (95% CI, 0.722–0.979) and 0.901 (95% CI, 0.798–1.000). The results of the binary logistic regression analysis revealed that HIF-1α and VEGF levels may be independent risk factors influencing the prognosis of ACI combined with CCS. Conclusion: Serum HIF-1α and VEGF have a good predictive value for assessing the recent prognosis of patients with ACI combined with CCS, which could be independent risk factors influencing the prognosis of disease.
Objective: This research was conducted to discuss the recent prognosis of patients with acute cerebral infarction (ACI) combined with cerebral-cardiac syndrome (CCS). Method: Eighty-seven patients with ACI were selected, which were divided into the ACI group (52 patients) and the CCS group (35 patients) according to whether the CCS was combined, and another 30 health controls were selected as the control group. Serum hypoxia-inducible factor (HIF)-1α and vascular endothelial growth factor (VEGF) levels of subjects in each group at the 1st day, the 3rd day, and the 7th day after admission were measured by enzyme-linked immunosorbent assay. After discharge for 30 days, the National Institutes of Health Stroke Scale (NIHSS) and the modified Rankin Scale (mRS) score were utilized to evaluate the prognosis of patients. The role of serum HIF-1α and VEGF levels in the prognosis of ACI combined with CCS patients was assessed by receiver operating characteristic curve and the binary logistic regression analysis. Results: Higher serum HIF-1α and VEGF levels were observed in the CCS and ACI groups versus the control group, and the levels of which were even higher in the CCS group in comparison to the ACI group. According to the prognosis of the NIHSS score, fasting blood glucose (FBG), Acute Physiology and Chronic Health Evaluation II score, creatine kinase-MB (CK-MB), and HIF-1α and VEGF levels at the 7th day of admission were higher while Glasgow coma scale (GCS) score was lower in the poor prognosis group than those in the good prognosis group, and the area under the curve (AUC) of serum HIF-1α and VEGF levels was 0.895 (95% confident interval [CI], 0.786–1.000), and 0.855 (95% CI, 0.731–0.980). According to the prognosis of the mRS score, FBG, CK-MB, and HIF-1α and VEGF levels at the 7th day of admission were higher while GCS score was lower in the poor prognosis group than those in the good prognosis group, and the AUC of serum HIF-1α and VEGF levels was 0.850 (95% CI, 0.722–0.979) and 0.901 (95% CI, 0.798–1.000). The results of the binary logistic regression analysis revealed that HIF-1α and VEGF levels may be independent risk factors influencing the prognosis of ACI combined with CCS. Conclusion: Serum HIF-1α and VEGF have a good predictive value for assessing the recent prognosis of patients with ACI combined with CCS, which could be independent risk factors influencing the prognosis of disease.
Stroke is a leading cause of disability and mortality, resulting in substantial socio-economic burden for healthcare systems. With advances in artificial intelligence, visual image information can be processed into numerous quantitative features in an objective, repeatable and high-throughput fashion, in a process known as radiomics analysis (RA). Recently, investigators have attempted to apply RA to stroke neuroimaging in the hope of promoting personalized precision medicine. This review aimed to evaluate the role of RA as an adjuvant tool in the prognosis of disability after stroke. We conducted a systematic review following the PRISMA guidelines, searching PubMed and Embase using the keywords: ‘magnetic resonance imaging (MRI)’, ‘radiomics’, and ‘stroke’. The PROBAST tool was used to assess the risk of bias. Radiomics quality score (RQS) was also applied to evaluate the methodological quality of radiomics studies. Of the 150 abstracts returned by electronic literature research, 6 studies fulfilled the inclusion criteria. Five studies evaluated predictive value for different predictive models (PMs). In all studies, the combined PMs consisting of clinical and radiomics features have achieved the best predictive performance compared to PMs based only on clinical or radiomics features, the results varying from an area under the ROC curve (AUC) of 0.80 (95% CI, 0.75–0.86) to an AUC of 0.92 (95% CI, 0.87–0.97). The median RQS of the included studies was 15, reflecting a moderate methodological quality. Assessing the risk of bias using PROBAST, potential high risk of bias in participants selection was identified. Our findings suggest that combined models integrating both clinical and advanced imaging variables seem to better predict the patients’ disability outcome group (favorable outcome: modified Rankin scale (mRS) ≤ 2 and unfavorable outcome: mRS > 2) at three and six months after stroke. Although radiomics studies’ findings are significant in research field, these results should be validated in multiple clinical settings in order to help clinicians to provide individual patients with optimal tailor-made treatment.
Background: Acute cerebral infarction (ACI) is a common neurological disease that is associated with high morbidity, disability and mortality rates. At present, antiplatelet therapy is a necessary treatment for ACI. The present study aimed to investigate the effects of omentin-1 on the intravenous thrombolysis of ACI. Objective: The present study aimed to investigate the effects of omentin-1 on the intravenous thrombolysis of ACI. Material and Methods: The mouse model of ACI was induced using male C57BL/6 mice through middle cerebral artery occlusion (MCAO). Meanwhile, the murine BV2 microglial cells were pretreated with 0.1 mg/ml of lipopolysaccharide (LPS), and then induced with 2 mM of adenosine triphosphate (ATP). Results: The omentin-1 mRNA expression in patients receiving intravenous thrombolysis for ACI was down-regulated compared with the normal group. Additionally, the serum level of omentin-1 was negatively correlated with National Institute of Health Stroke Scale (NIHSS) score or serum level of IL-1β or MMP-2 in patients receiving intravenous thrombolysis for ACI. Meanwhile, the serum mRNA expression of omentin-1 was positively correlated with Barthel index or high-sensitivity C-reactive protein (hs-CRP) in patients undergoing intravenous thrombolysis for ACI. As observed from the in vitro model, Omentin-1 reduced inflammation, promoted cell growth, alleviated ROS-induced oxidative stress, and enhanced AMPK activity through activating NLRP3 ubiquitination. Omentin-1 presented ACI in the mouse model of ACI. Regulating AMPK activity contributed to controlling the effects of Omentin-1 on the in vitro model. Conclusions: Omentin-1 reduced neuroinflammation and ROS-induced oxidative stress in the mouse model of ACI, which was achieved by inhibiting NLRP3 ubiquitination through regulating AMPK activity. Therefore, omentin-1 may serve as a treatment factor for the intravenous thrombolysis of ACI in further clinical application.
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