Objective:To investigate the predictive value of serum β 2-microglobulin (β 2M) and pro-inflammatory cytokines for post-stroke depression (PSD) in patients with acute ischemic stroke (AIS). Methods:Patients with AIS admitted to the Department of Neurology, the Affiliated Municipal Hospital of Xuzhou Medical University from January 2020 to May 2023 were included retrospectively. At the 6-month outpatient follow-up, the Self-rating Depression Scale (SDS) was used to assess depression. Multivariate logistic regression analysis was used to determine the independent influencing factors of PSD. Receiver operating characteristic (ROC) curve was used to evaluate the predictive value of individual and combined independent influencing factors on PSD. Results:A total of 161 patients were enrolled, including 82 males (50.93%), aged 61.78±11.95 years; 47 patients (29.20%) developed PSD. Univariate analysis showed that the proportion of males, serum β 2M, interleukin (IL)-1β, IL-6, tumor necrosis factor (TNF)-α, high-sensitivity C-reactive protein level, and baseline National Institutes of Health Stroke Scale (NIHSS) score in the PSD group were significantly different from those in the non-PSD group (all P<0.05). Multivariate logistic regression analysis showed that serum β 2M (odds ratio [ OR] 4.257, 95% confidence interval [ CI]1.441-12.574; P=0.009), IL-1β ( OR 1.415, 95% CI 1.116-1.793; P=0.004), IL-6 ( OR 1.262, 95% CI 1.020-1.561; P=0.032), and TNF-α ( OR 1.246, 95% CI 1.021-1.521; P=0.030) were the independent influencing factors of PSD. ROC curve analysis showed that the area under the curve of serum β 2M for predicting PSD was 0.753 (95% CI 0.668-0.838), with an optimal cutoff value of 2.255 mg/L. The sensitivity and specificity were 59.6% and 80.7%, respectively. When serum β 2M was combined with IL-1β, IL-6 and TNF-α for prediction, the area under the curve increased to 0.893 (95% CI 0.837-0.948). Conclusion:The serum β 2M in combination with pro-inflammatory cytokines has good predictive value for PSD.

Myocardial infarction is a serious type of myocardial ischemic disease. Traditional treatments can only alleviate clinical symptoms and cannot repair damaged myocardium. In this review, the application progress of chitosan-based composite scaffolds in myocardial repair and regeneration after myocardial infarction was reviewed. Combining chitosan with polymers, such as natural proteins and natural polysaccharides can mimic the properties of natural myocardial tissue, reducing ventricular wall stress while increasing biological activity and promoting the retention, repair or regeneration of myocardial cells. Combining chitosan with synthetic polymers and nanomaterials can promote the repair and regeneration of myocardial cells, improve the electrophysiological function of the infarcted area and resynchronise cardiac contraction.

Objective To evaluate the clinical efficacy of Shanghai-style pediatric tuina combined with visceral acupoint manipulation in children with adenoid hypertrophy(AH)of lung-spleen qi deficiency type.Methods Sixty-six AH children with lung-spleen qi deficiency treated at Foshan Hospital of Traditional Chinese Medicine from December 2023 to December 2024 were randomized into trial group(n=33,receiving Shanghai-style tuina+visceral acupoint manipulation)and control group(n=33,receiving conventional tuina)for 2 weeks.Traditional Chinese medicine(TCM)syndrome scores(primary/secondary symptoms),Disease-Specific Quality of Life for Children with Obstructive Sleep Apnea 18-item Survey(OSA-18)scores,and endoscopic adenoid obstruction scores were observed before and after treatment,and the clinical efficacy and safety were evaluated.Results(1)After two weeks of treatment,the total effective rate was 93.94％(31/33)in the trial group versus 72.73％(24/33)in the control group.The intergroup comparison(by chi-square test)showed that the efficacy in the trial group was superior to that in the control group(P＜0.05).(2)After treatment,both groups showed reduction in the primary TCM symptom score and secondary TCM symptom score(P＜0.01),with greater reductions in the trial group(P＜0.05 or P＜0.01).(3)After treatment,OSA-18 scores were decreased in both groups(P＜0.01),with greater reductions in the trial group(P＜0.01).(4)After treatment,adenoid obstruction scores were improved in both groups(P＜0.01),with superior outcomes in the trial group(P＜0.05).(5)No adverse events(e.g.,myalgia,pruritus,allergy)were reported in either group.Conclusion Shanghai-style tuina combined with visceral acupoint manipulation effectively improves clinical symptoms and quality of life in AH children with lung-spleen qi deficiency syndrome,demonstrating high safety.

Objective To investigate the levels and clinical significance of serum microRNA(miR)-651 and miR-630 in patients with cervical cancer.Methods From June 2017 to May 2020,108 cervical cancer patients accepted by our hospital were collected as the cervical cancer group.Meantime,100 cervical intraepithelial neoplasia(CIN)patients treated in our hospital were regarded as the CIN group,and 110 healthy individuals who underwent physical examination were regarded as the control group.Real-time fluorescence quantitative PCR(qRT-PCR)was applied to detect serum levels of miR-651 and miR-630,while analyzing the relationship between serum miR-651 and miR-630 as well as clinical features and prognosis of patients.Results The serum levels of miR-651 and miR-630 in the cervical cancer group and CIN group were obviously lower than those in the control group(P<0.05),while the serum levels of miR-651 and miR-630 in the cervical cancer group were obviously lower than those in the CIN group(P<0.05).The expression levels of serum miR-651 and miR-630 were positively corre-lated(r = 0.542,P<0.05).The serum levels of miR-651 and miR-630 were related to HPV infection,differentia-tion,lymph node metastasis,and FIGO staging(P<0.05).The overall survival rate of patients with low levels of miR-651 and miR-630 was lower than that of patients with high levels.Cox regression analysis showed that,HPV infection,degree of differentiation,lymph node metastasis,FIGO staging,miR-651,and miR-630 were all influ-encing factors for the prognosis of cervical cancer patients(P<0.05).Conclusion The serum levels of miR-651 and miR-630 in cervical cancer patients decrease,which are related to HPV infection,differentiation,lymph node metastasis,FIGO staging,and prognosis.

Due to the low contrast of CT images,irregular shape of the liver,and blurred boundaries with adjacent organs,the existing methods based on convolutional neural network underperform in liver segmentation tasks,especially for boundary recognition and small object detection.A novel liver segmentation method is proposed based on multi-scale feature fusion and attention,namely MFFA UNet.Multi-scale feature fusion is firstly employed to acquire abundant segmentation details,while spatial and channel attention mechanisms are utilized to capture global spatial and inter-channel relationships.Additionally,a deep supervision module fully leverages the output of intermediate hidden layers,enhancing the learning capability of the network,which in turn accelerates the network's convergence speed.Moreover,a hybrid loss function is adopted to address the issue of class imbalance,further boosting the model's segmentation efficacy.Experimental results demonstrate that the proposed MFFA UNet outperforms the prevailing segmentation networks on the public LITS dataset,producing results that are closer to the ground truth.

To address the inability of the existing machine learning methods to simultaneously consider both the temporal and spatial domain features of electroencephalogram(EEG)signals in classifying EEG features,a feature fusion based Attention-EEGNet-BiGRU(AEBGNet)is presented for classifying motor imagery(MI)EEG signals.AEBGNet is capable of fusing the temporal domain features extracted by convolutional neural network with attention mechanism and spatial domain features extracted by a bidirectional gated recurrent unit to obtain more distinctive spatiotemporal features.The constructed AEBGNet classification model achieves an average accuracy of 80.37%on the BCI competition IV 2b dataset,and there is an improvement of 6.09%over the standard EEGNet method.The results demonstrate the effectiveness of the proposed method in enhancing the classification accuracy of MI EEG signals,providing a new idea for MI EEG signal classification.

A composite nystagmus classification framework enhanced by dual attention mechanism is proposed to address the problem that the existing researches only identify whether nystagmus occurs in a horizontal,vertical,or axial direction,but fail to consider the issue of composite nystagmus composed of multiple directions with various intensities in clinical practice.A spatiotemporal concentration algorithm for nystagmus videos is presented,and it combines convolutional neural networks and Hough transform to remove interference from invalid frames and regions and to improve the quality of nystagmus videos.Then,a dense optical flow algorithm is used to extract the optical flow field of eye movement.Finally,a composite nystagmus classification network based on dual attention mechanism enhancement is constructed.An improved efficient channel attention module is used to effectively obtain the direction and intensity of nystagmus in different channels of the optical flow map;and a temporal attention module is added at the end of the bidirectional long short-term memory network to achieve significant expression of classification results based on different temporal features.On the nystagmus dataset provided by the cooperating hospital,the proposed method has an accuracy rate of 83.17%for composite nystagmus classification,and achieved accuracy rates of 91.03%,89.74%,and 86.05%for individual horizontal,vertical,and axial nystagmus classifications.The proposed method realizes the intelligent classification of composite nystagmus and is valuable in clinic.

Objective:To explore the application value of qualitative characteristics and quantitative parameters of contrast-enhanced ultrasound (CEUS) in the differential diagnosis of pancreatic ductal adenocarcinoma (PDAC) and non-PDAC presenting as pancreatic solid focal lesions.Methods:A retrospective analysis was conducted on 64 cases of PDAC(the PDAC group) and 52 cases of non-PDAC(the non-PDAC group) who underwent CEUS examination at Tianjin Medical University Cancer Institute and Hospital from July 2022 to June 2023. Clinical characteristics, two-dimensional ultrasound features, CEUS qualitative characteristic, and quantitative parameters were compared between the two groups. ROC curves were plotted, and the Delong test was used to evaluate the diagnostic performance of qualitative and quantitative analyses in distinguishing PDAC from non-PDAC. Binary logistic regression analysis was employed to assess the independent predictors of PDAC.Results:①There were significant differences in serum CA19-9, lesion size, boundary, the main pancreatic duct (MPD) diameter, degree of enhancement and enhancement pattern between the PDAC group and the non-PDAC group (all P<0.05). ②The relative peak intensity (rPE), and relative wash-in and wash-out area under the curve (rWiWoAUC) were lower in the PDAC group than the non-PDAC group, with statistically significant differences(all P<0.001). ③The areas under the curve (AUC) for diagnosing PDAC using enhancement pattern, venous phase(VP) enhancement degree, rPE, and rWiWoAUC were 0.698, 0.707, 0.863, and 0.867, respectively. The AUCs of quantitative parameters were superior to those of qualitative characteristics, with statistically significant differences ( P<0.05). Using CEUS mode B, low VP enhancement, rPE<72.44, and rWiWoAUC<86.59 as cut-off values, the accuracies for diagnosing PDAC were 0.698, 0.741, 0.828, and 0.802, respectively. ④Serum CA19-9, lesion size, MPD diameter, rPE, and rWiWoAUC were independent predictors of PDAC (all P<0.05). Conclusions:CEUS qualitative and quantitative analyses are helpful in the differential diagnosis of PDAC and non-PDAC, with rPE and rWiWoAUC being useful indicators for diagnosing PDAC.

Objective To investigate the relationship between preoperative frailty and short-term postoperative complications in elderly breast cancer patients.Methods A convenience sampling method was used to select 231 elderly breast cancer patients who underwent elective surgery in a tertiary care hospital in Beijing from July 2022 to December 2022.General information on elderly patients was collected and the frailty assessment was performed 1 day before surgery,and the occurrence of complications in elderly patients was followed up 30 days after surgery.Results Among the 214 elderly breast cancer patients,37 patients had complications within 30 days postoperatively.Binary logistic regression analysis showed that the risk of complications at 30 days postoperatively was 5.532 times higher in elderly breast cancer patients with preoperative frailty than it in non-frail patients(P＜0.05).Elder breast cancer patients with problems of decreased free movement,increased resistance/loss of endurance,and weight loss had a high risk of postoperative complications.Conclusion Preoperative frailty affects the occurrence of complications in elderly breast cancer patients within 30 days after surgery and suggests that nursing staff should strengthen perioperative health management for elderly breast cancer patients with preoperative frailty and actively prevent the occurrence and development of frailty.

Myocardial infarction is one of the major diseases that seriously threaten human health. In the clinical treatment of myocardial infarction, there are unpredictable complications, and most patients will suffer a severe cardiac function decline due to excessive loss of myocardia and formation of scar tissue, eventually progressing to heart failure or even death. With rapid development of biological materials, they as an important part of tissue repair and regeneration research, have become a hot spot in the research and development of cardiovascular repair materials. Among them, decellularized extracellular matrix (dECM) materials, a class of natural materials with good histocompatibility, low immunogenicity, and suitable cell growth and metabolism characteristics, have been applied in clinical or preclinical cardiovascular tissue engineering or regenerative medicine. In this review, the application progress of dECM materials in tissue engineering, including the dECM preparation of 3D printed bioink, electrospinning, matrix hydrogel, and myocardial patch, in myocardial infarction treatment was summarized, and prospects and current challenges in the treatment of myocardial infarction were discussed.