Objective To detect the expression of COX-2 and p53 in breast carcinoma tissue and investigate their associations with clinical prognosis.Methods The expression of COX-2 and p53 was carried out in 16 cases of normal epithelial tissue and 152 cases of breast carcinoma tissue using immunohistochemistry SP method.The correlation of their expression with clinical characteristics was analyzed using SPSS software 16.0.Survival analysis was used to investigate their effects on tumor prognosis.Results No positive COX-2and p53 expressions were observed in normal epithelial tissue.Among 152 patients,89 (58.6 ％) were positive staining rete for COX-2 and 93 (61.18 ％)were shown p53 expression, with a statistically significant associations between expressions of COX-2 and p53 and breast cancer (r =0.426,P ＜ 0.01).The COX-2 and p53 expressions were significantly correlated with pathological grade, clinical stage, lymph node or distant organ metastasis.There was a statistically significant correlation between COX-2 and p53 expression and pathological grade Ⅰ / Ⅱ.The 5-year progress-free survival (PFS) rate in patients with COX-2 over-expression was 61.3 ％, which was remarkably lower than that in those with low COX-2 expression.There was no statistically significant difference of 5-year PFS between positive and negative p53 expression.A shorter 5-year PFS was seen in patients with co-expression of COX-2 and p53 than in those with either COX-2 or p53positive expression alone and also than in those with both COX-2 and p53 negative expression.Conclusion Detection of the expressions of COX-2 and p53 can be used to predict the prognosis of breast cancer.

Objective To analyse the effect of dual-antiplatelet drugs on S100β,IL-1β, adiponectin(ADPN)and NIHSS score in patients with acute cerebral infarction.Methods 58 patients diagnosed with acute cerebral infarction in first hospital of Qinhuangdao.All patients were collected and randomly divided into experimental group and control group according to random number table , 29 cases in each group.Both group were given the treatrnent of improvng the cerebral vascular circulation, protect brain cells, control blood pressure, blood glucose, oxygen when necessary.On the basis of conventional treatment, control group was treated with aspirin 200 mg, one time per day,orally.And experimental group was treated with clopidogrel 75 mg/d on the basis of control group,one time per day,orally.After treatment, the serum levels of S100β, IL-1β, ADPN and NIHSS score were detected in all patients.ResuIts After treatment, compared with control group,the serum S100βprotein level was significantly lower in the experimental group (P<0.05); the serum IL-1βlevel in experimental group was significantly lower (P<0.05);ADPN level in experimental group was significantly higher (P<0.05); NIHSS score of patients in experimental group was significantly lower (P<0.05).ConcIusions Dual antiplatelet drugs can reduce serum S100βprotein,IL-1βin serum of patients with acute cerebral infarction, increase the level of serum adiponectin, decrease NIHSS score, can effectively improre neurological function in patients with acute cerebral infarction.

Objective To analyse the effect of dual antiplatelet drugs on fibulin-5, vWF and P-selection in serum of patients with acute cerebral infarction.Methods Diagnosed 60 patients with acute cerebral infarction in our hospital and collected. All patients were randomly divided into experimental group and control group, 30 cases in each group.The control group was treated with conventional treatment and aspirin, and the experimental group was treated with clopidogrel on the basis of control group.After treatment, the serum levels of Fibulin-5, vWF, P-selection and adverse reactions were detected in all patients.ResuIts After treatment, compared with control group, the serum Fibulin-5 level was significantly lower in experimental group ( P<0.05 );the serum vWF level in experimental group was significantly lower ( P<0.05 );the serum P-selectin level in experimental group was significantly lower (P<0.05);there was no significant difference in the incidence of adverse reactions between two groups. ConcIusion Dual antiplatelet drugs can reduce serum vWF, P-selectin and fibulin-5 in serum of patients with acute cerebral infarction, adverse reactions do not significantly increase, have guiding significance to clinical application.

Objective:To investigate risk factors for decompressive craniectomy (DC) after endovascular therapy (EVT) in patients with acute anterior circulation ischemic stroke.Methods:Patients underwent EVT due to acute anterior circulation large vessel occlusion in Liaocheng Brain Hospital from January 2018 to January 2020 were retrospectively included. They were divided into DC group and non-DC group. Univariate and multivariate logistic regression analyses were used to determine risk factors for DC after EVT. Results:A total of 207 patients were enrolled, 126 were male (60.87%), and their age was 66.22±11.24 years old. The baseline National Institutes of Health Stroke Scale (NIHSS) score was 19.84±9.20, and the Alberta Stroke Program Early CT Score (ASPECTS) was 7.98±0.66. The immediate postoperative modified Treatment In Cerebral Ischemia (mTICI) blood flow grade in seven patients (5.80%) was ≤2a, 30 (14.49%) experienced hemorrhagic transformation (HT) after procedure, and 28 (13.5%) received DC. There were statistically significant differences between the DC group and the non-DC group in terms of past stroke history, preoperative NIHSS score and ASPECTS, vascular occlusion site, EVT time, immediate postoperative mTICI ≤2a, and HT (all P<0.05). Multivariate logistic regression analysis showed that atrial fibrillation (odds ratio [ OR] 3.202, 95% confidence interval [ CI] 1.335-9.796; P=0.011), previous stroke history ( OR 2.655, 95% CI 1.016-6.938; P=0.046), high preoperative NIHSS score ( OR 1.074, 95% CI 1.026-1.124; P=0.002), internal carotid artery occlusion ( OR 4.268, 95% CI 1.399-13.024; P=0.011), longer EVT time ( OR 1.010, 95% CI 1.003-1.016; P=0.003), mTICI grade ≤2a ( OR 5.342, 95% CI 1.565-18.227; P=0.007) and postoperative HT ( OR 3.036, 95% CI 1.024-9.004; P=0.045) were independent risk factors for DC. Conclusions:It is not uncommon for patients with acute anterior circulation ischemic stroke to need DC after EVT. Previous stroke history, atrial fibrillation, high baseline NIHSS score, internal carotid artery occlusion, prolonged blood EVT time, mTICI grade ≤2a and postoperative HT are independent predictors of needing DC after EVT.

A case of limbic encephalitis with positive anti-leucine-rich glioma inactivated 1 protein (LGI1) antibody and anti-myelin oligodendrocyte glycoprotein (MOG) antibody was reported. The patient was a middle-aged male with a history of retinal vein occlusion. The main symptoms were temporal lobe epilepsy, facial arm dystonia, autonomic nerve dysfunction. Magnetic resonance imaging showed long T 2 signal in the right hippocampus without enhancement and normal perfusion. Electroencephalogram showed paroxysmal slow wave and sharp slow wave in interictal period. Blood anti-MOG antibody, blood and cerebrospinal fluid anti-LGI1 antibody were double positive. The main diagnosis was limbic encephalitis. After treatment with hormone and gamma globulin, the symptoms were improved and double antibodies were turned negative. Anti-LGI1/MOG double positive cases are rare, and the clinical manifestations and imaging manifestations of double positive antibody cases are not completely consistent with those with each single antibody, with different characteristics. This report can help clinicians enhance awareness.

OBJECTIVETo review the influencing factors of the early complication after carotid endarterectomy (CEA).

METHODSRetrospective analysis of clinical data of 509 cases received CEA in Xuan Wu Hospital of Capital Medical University, Liaocheng People's Hospital and Dalian Central Hospital from January 2001 to December 2011. There are 422 male patients and 72 female patients among the 494 patients, 15 patients underwent CEA by stages. The patients were between 35-84 years old,and the mean age was (64 ± 9) years. The complications within 30 days after CEA were analyzed, and find the risk factors for the major adverse events. Chi-square analysis was performed to analyze the correlation between the each variable of the basic characteristics of population, clinical features and intraoperative data and early adverse events after CEA. Logistic regression analysis was used to assess the relationship between a variety of factors and the postoperative complications within 30 days.

RESULTSTechnical complete rate of 98.6%, 7 cases of near-total occlusion patients could not been recanalized. Major complications in 30 days after CEA occurred in 20 cases (3.9%), including 6 cases of deaths (1.2%), 9 cases of cerebral infarction (1.8%) and 5 cases of cerebral hemorrhage (1.0%). Secondary complications occurred in 120 cases (23.6%). Univariate analysis showed modified Rankin scale (mRS) ≥ 3 on the incidence of early postoperative complication had significantly difference (χ² =20.517, P < 0.01), multivariate logistic regression analysis revealed that smoking (OR=2.667, 95% CI: 1.048-6.791, P=0.040) and mRS ≥ 3 (OR=8.690, 95% CI: 3.279-23.031, P=0.000) were the significant predictors of 30 days of the end event.

CONCLUSIONThe complications after CEA are uncommon, the security is proved. Smoking and mRS ≥ 3 can increase the risk of CEA.

Adult ; Aged ; Aged, 80 and over ; Cerebral Hemorrhage ; complications ; Cerebral Infarction ; complications ; Endarterectomy, Carotid ; adverse effects ; Female ; Humans ; Incidence ; Male ; Middle Aged ; Postoperative Complications ; Retrospective Studies ; Risk Factors ; Smoking ; Time Factors ; Treatment Outcome

Objective:To explores the clinical efficacy and safety of carotid endarterectomy in patients with high bifurcation carotid artery stenosis.Methods:A total of 169 patients with carotid artery stenosis (147 patients with non-high bifurcation carotid artery stenosis and 22 patients with high bifurcation carotid artery stenosis), underwent carotid endarterectomy under surgical microscope in our hospital from January 2017 to January 2020, were included in the study. Patients with high bifurcation carotid artery stenosis were operated by cutting off the posterior abdomen of the digastric muscle to assist in exposing the distal end of the internal carotid artery plaque. Cervical CTA/DSA examination was performed within one week of surgery to confirm whether carotid artery stenosis was relieved; ultrasound examination of cervical vessels was performed 6 months and 1 year after surgery to determine whether restenosis was appeared in the carotid artery. The surgical efficacy, perioperative complications and re-examination results were compared between the two groups.Results:Postoperative carotid artery stenosis was relieved in both groups. The proportions of new cerebral infarction and temporary neurological impairment between the two groups (4.5% vs. 2.0%; 9.1% vs. 3.4%) showed no significant differences ( P>0.05). Carotid artery restenosis was not found in both groups. There was no obvious functional abnormality in the digastric muscles of patients with high bifurcation carotid stenosis. Conclusion:Cutting off the posterior abdomen of the digastric muscle during carotid endarterectomy can better expose the distal end of the internal carotid plaque in patients with high bifurcation carotid stenosis, and provide convenience for effective relief of carotid artery stenosis with high safety.

In order to fully explore the neural oscillatory coupling characteristics of patients with mild cognitive impairment (MCI), this paper analyzed and compared the strength of the coupling characteristics for 28 MCI patients and 21 normal subjects under six different-frequency combinations. The results showed that the difference in the global phase synchronization index of cross-frequency coupling under δ-θ rhythm combination was statistically significant in the MCI group compared with the normal control group ( P = 0.025, d = 0.398). To further validate this coupling feature, this paper proposed an optimized convolutional neural network model that incorporated a time-frequency data enhancement module and batch normalization layers to prevent overfitting while enhancing the robustness of the model. Based on this optimized model, with the phase locking value matrix of δ-θ rhythm combination as the single input feature, the diagnostic accuracy of MCI patients was (95.49 ± 4.15)%, sensitivity and specificity were (93.71 ± 7.21)% and (97.50 ± 5.34)%, respectively. The results showed that the characteristics of the phase locking value matrix under the combination of δ-θ rhythms can adequately reflect the cognitive status of MCI patients, which is helpful to assist the diagnosis of MCI.
Humans ; Electroencephalography/methods* ; Cognitive Dysfunction/diagnosis* ; Neural Networks, Computer ; Sensitivity and Specificity

The recurrent neural network architecture improves the processing ability of time-series data. However, issues such as exploding gradients and poor feature extraction limit its application in the automatic diagnosis of mild cognitive impairment (MCI). This paper proposed a research approach for building an MCI diagnostic model using a Bayesian-optimized bidirectional long short-term memory network (BO-BiLSTM) to address this problem. The diagnostic model was based on a Bayesian algorithm and combined prior distribution and posterior probability results to optimize the BO-BiLSTM network hyperparameters. It also used multiple feature quantities that fully reflected the cognitive state of the MCI brain, such as power spectral density, fuzzy entropy, and multifractal spectrum, as the input of the diagnostic model to achieve automatic MCI diagnosis. The results showed that the feature-fused Bayesian-optimized BiLSTM network model achieved an MCI diagnostic accuracy of 98.64% and effectively completed the diagnostic assessment of MCI. In conclusion, based on this optimization, the long short-term neural network model has achieved automatic diagnostic assessment of MCI, providing a new diagnostic model for intelligent diagnosis of MCI.
Humans ; Bayes Theorem ; Neural Networks, Computer ; Algorithms ; Brain ; Cognitive Dysfunction/diagnosis*