Deep learning method can be used to automatically analyze electrocardiogram (ECG) data and rapidly implement arrhythmia classification, which provides significant clinical value for the early screening of arrhythmias. How to select arrhythmia features effectively under limited abnormal sample supervision is an urgent issue to address. This paper proposed an arrhythmia classification algorithm based on an adaptive multi-feature fusion network. The algorithm extracted RR interval features from ECG signals, employed one-dimensional convolutional neural network (1D-CNN) to extract time-domain deep features, employed Mel frequency cepstral coefficients (MFCC) and two-dimensional convolutional neural network (2D-CNN) to extract frequency-domain deep features. The features were fused using adaptive weighting strategy for arrhythmia classification. The paper used the arrhythmia database jointly developed by the Massachusetts Institute of Technology and Beth Israel Hospital (MIT-BIH) and evaluated the algorithm under the inter-patient paradigm. Experimental results demonstrated that the proposed algorithm achieved an average precision of 75.2%, an average recall of 70.1% and an average F ₁-score of 71.3%, demonstrating high classification accuracy and being able to provide algorithmic support for arrhythmia classification in wearable devices.
Humans ; Arrhythmias, Cardiac/diagnosis* ; Algorithms ; Electrocardiography/methods* ; Neural Networks, Computer ; Signal Processing, Computer-Assisted ; Deep Learning ; Classification Algorithms

This paper discussed the historic evolution of Juanbitang and similar decoctions， clarified the historic development of Yangshi Juanbitang and Chengshi Juanbitang， and probed into the key information of the meaning， original plants， processing methods， and modern dosage and usage of Chengshi Juanbitang. A total of 267 pieces of relevant information were collected from ancient traditional Chinese medicine （TCM） books， among which 53 pieces of effective data were included in this study. The results showed that both Chenshi Juanbitang and Yangshi Juanbitang were originated from Duhuo Jishengtang recoded in the Important Prescriptions Worth a Thousand Gold for Emergency （Bei Ji Qian Jin Yao Fang）. According to the standard of "1 qian roughly equals 3.73 g" in the measurement system of the Qing Dynasty， we suggest Chenshi Juanbitang is composed of 3.73 g Notopterygii Rhizoma et Radix， 3.73 g Angelicae Pubescentis Radix， 3.73 g Gentianae Macrophyllae Radix， 11.19 g Angelicae Sinensis Radix， 11.19 g Mori Ramulus， 2.61 g Chuanxiong Rhizoma， 1.87 g Cinnamomi Cortex， 1.87 g stir-fried Glycyrrhizae Radix et Rhizoma， 7.46 g Piperis Kadsurae Caulis， 2.98 g Olibanum， and 2.98 g Aucklandiae Radix， which should be decocted with 600 mL water to reach a volume of 300 mL. The decoction should be taken 3 times a day before meals. Juanbitang， a classical formula specialized for treating impediment diseases， has the effects of dispelling wind， removing dryness， and alleviating impediment to relieve pain. It can be used for treating vexing pain in body， spasm of nape and back， and heaviness in waists and legs. Modern studies have shown that Juanbitang can be used for treating rheumatoid arthritis， knee osteoarthritis， and periarthritis of shoulder. The above results served as a reference for the future development of Juanbitang.

Objective To study the effect and mechanism of high glucose on mesothelial-mesenchymal transition(MMT)of peritoneal mesothelial cells(HMrSV5),and the protective effect of pharmacological blocking of signal transducer and activator of transcription 3(STAT3)on rat peritoneal fibrosis(PF)model.Methods The animals were divided into three groups:the sham group,the model group,and the STAT3 inhibitor group.A miniature per-itoneal dialysis catheter was implanted under the dorsal skin of rat and the rat peritoneal fibrosis model was induced by daily injection of high glucose dialysate.After 10 weeks,HE staining was used to evaluate the histology of the peritoneum,and the level of transforming growth factor-β1(TGF-β1)in the peritoneum was measured by immuno-histochemistry.HMrSV5 was cultured in high glucose and the optimal stimulation concentration of high glucose was determined by Western blot.High glucose was used to stimulate HMrSV5 after successful transfection with si-STAT3 and Western blot was used to measure the protein level of STAT3,p-STAT3,and the key enzymes of glycol-ysis 6-phosphofructo-2-kinase/fructose-2,6-biphosphatase 3(PFKFB3)and lactate dehydrogenase A(LDHA).Results HE staining showed that administration of STAT3 inhibitor(BP-1-102)could inhibit the thickening of subperitoneal tissue and the proliferation of vessels in HG dialysis rats.The expression of TGF-β1 in the rats perito-neum of the model group was significantly higher than that in the sham group,and the level of TGF-β1 was marked-ly lower in the STAT3 inhibitor group compared to the model group(P<0.05).Compared to the control group,high glucose induced the up-regulation of α-smooth muscle actin(α-SMA),the down-regulation of E-cadherin and STAT3 activation in HMrSV5(P<0.05).Mesothelial cells treated with high glucose also exhibited high expres-sion of the key enzymes of glycolysis(PFKFB3,LDHA)(P<0.05),and si-STAT3 can effectively inhibit the overexpression of PFKFB3 and LDHA induced by high glucose(P<0.05).Conclusion STAT3 is involved in high glucose-induced HMrSV5 hyperglycolysis and MMT,and targeting STAT3 alleviates peritoneal fibrosis and an-giogenesis during peritoneal dialysis treatment in rats.

Objective To observe the expression of Galectin-3 in peritoneal dialysis (PD) fluid in patients with different dialysis ages, and to conduct correlation analysis with vascular endothelial growth factor (VEGF) , fi-bronectin (FN) and related clinical indicators.Methods A total of 109 PD patients who were regularly followed up in the department of nephrology were divided into four groups according to different peritoneal dialysis ages.The concentrations of Galectin-3, VEGF and FN were determined by enzyme-linked immunosorbent assay.The expres-sion of Galectin-3 in peritoneal dialysate of the 4 groups was compared, the correlation with VEGF, FN and clinical related indexes was analyzed, and the correlation was analyzed by Spearman test.Results The concentration of VEGF in peritoneal dialysis patients in group D significantly increased (P<0.05) .Galectin-3 expression levels were positively correlated with VEGF (r =0.358 , P =0.022) , but not significantly correlated with FN (r =0.121, P=0.452).Galectin-3 was positively correlated with clinical indicators parathyroid hormone (PTH) (r=0.201, P=0.037), C-reactive protein (CRP) (r=0.357, P<0.001), left ventricular posterior wall dimensions (LVPWD) (r=0.213, P=0.026), and negatively correlated with clinical indicators total cholesterol (TC) (r=-0.316, P=0.001).Conclusion The concentration of Galectin-3 in the dialysate of long-term peritoneal dialy-sis patients is significantly elevated, indicating that the expression of galectin-3 increases with the extension of peri-toneal dialysis time, suggesting that the detection of galectin-3 levels may be helpful for the evaluation of early peri-toneal fibrosis.The positive correlation with VEGF may suggest its role in promoting peritoneal angiogenesis and fi-brosis.Moreover, it is positively correlated with clinical indicators PTH, CRP and LVPWD, suggesting that it has certain clinical guiding significance on microinflammatory state and myocardial remodeling.

Post traumatic depression (PTD) is a serious complication after traumatic brain injury, with high incidence rate; PTD seriously affects the rehabilitation, outcome and quality of life of patients. Due to unclear pathogenesis of PTD, effective treatments have not yet been found in clinical practice. Repetitive transcranial magnetic stimulation (rTMS), as a new non-invasive neuroregulatory technique, has been used in major depression disorder (MDD). Few clinical evidence on PTD treated by rTMS is noted and optimal rTMS treatment regimen has not yet been defined.This article reviews the clinical studies of rTMS in PTD in recent years, with a view to provide references for clinical application.

Distant cutaneous metastasis of primary lung squamous cell carcinoma is an exceedingly rare event,with scalp metastasis as the initial clinical presentation even rarer.Scalp skin metastases are prone to be misdiagnosed as other scalp disorders,yet their appearance signifies the deterioration and poor prognosis of lung cancer.This case report documents a female patient presenting initially with scalp folliculitis in dermatology,who was subsequently diagnosed with malignant lung tumor through radiological imaging and referred to Department of Thoracic Surgery.Pathological examination of the excised lesion from the scalp revealed distant metastasis of lung cancer.A review of similar cases reported in literature was conducted.This article aims to enhance understanding and awareness of skin metastasis in lung cancer,to emphasize the importance of this condition,and to improve early recognition and precise diagnosis.It is crucial to prevent clinical misdiagnosis and ensure ap-propriate treatment,finally leading to improve the prognosis of the patients.

Objective:To investigate the expression of IL-18, IL-18-binding protein a(IL-18BPa) and IL-18 receptor α(IL-18Rα) by peripheral blood CD4 + Th17 cells of patients with allergic rhinitis (AR) and the effects of allergens on their expression. Methods:This study enrolled 45 outpatients with AR and 23 healthy control subjects receiving physical examination in the First Affiliated Hospital of Jinzhou Medical University from October 2019 to September 2020. According to the results of skin prick test, the 45 patients were divided into two groups: AR group with positive results (24 cases) and nAR group with negative results (21 cases). Blood samples of them were collected. Flow cytometry was used to analyze the effects of allergens on the expression of IL-18, IL-18BPa and IL-18Rα at protein level by peripheral blood CD4 + Th17 cells. The level of IL-17A in plasma was measured by Bioplex system, and its correlation with the percentage of IL-18 + Th17 cells was analyzed. Results:Compared with the healthy control group, the AR group showed increased ratios of CD4 + Th17 and IL-18 + Th17 cells ( P<0.01), decreased ratio of IL-18BPa + Th17 cells ( P<0.01), enhanced mean fluorescence intensity (MFI) of IL-18BPa ( P<0.01) and reduced MFI of IL-18Rα ( P<0.01); the nAR group showed enhanced MFI of IL-18BPa ( P<0.000 1) and reduced MFI of IL-18Rα ( P<0.000 1). The ratio of IL-18 + Th17 cells and the MFI of IL-18Rα in the AR group were higher than those in the nAR group ( P<0.05, P<0.01). House dust mite extract and Platanus pollen extract induced the expression of IL-18 and IL-18BPa by CD4 + Th17 cells of AR patients ( P<0.05). Moreover, house dust mite extract directly induced the CD4 + Th17 cells isolated from the healthy control subjects to express IL-18 and IL-18R ( P<0.05). Compared with healthy control subjects, AR patients had higher level of IL-17A in plasma and it was moderately correlated with the ratio of IL-18 + Th17 cells ( P<0.05). Conclusions:Allergens may be involved in the pathogenesis of AR by inducing blood CD4 + Th17 cells to express IL-18 and IL-18Rα.

Sepsis is a life-threatening organ dysfunction,which is caused by the body's uncontrolled immune response to infection.Tissue masts cells(MC),derived from blood mast cell progenitors,are one of the classical effector cells in inflammatory response.MC plays an important role in sepsis via secreting a variety of inflammatory mediators and cytokines.Here,we summarized the potential roles of MC in sepsis,which is expected to provide novel ideas for the future research on the novel mechanisms of MC in sepsis.

Conventional chemotherapy based on cytotoxic drugs is facing tough challenges recently following the advances of monoclonal antibodies and molecularly targeted drugs. It is critical to inspire new potential to remodel the value of this classical therapeutic strategy. Here, we fabricate bisphosphonate coordination lipid nanogranules (BC-LNPs) and load paclitaxel (PTX) to boost the chemo- and immuno-therapeutic synergism of cytotoxic drugs. Alendronate in BC-LNPs@PTX, a bisphosphonate to block mevalonate metabolism, works as both the structure and drug constituent in nanogranules, where alendronate coordinated with calcium ions to form the particle core. The synergy of alendronate enhances the efficacy of paclitaxel, suppresses tumor metastasis, and alters the cytotoxic mechanism. Differing from the paclitaxel-induced apoptosis, the involvement of alendronate inhibits the mevalonate metabolism, changes the mitochondrial morphology, disturbs the redox homeostasis, and causes the accumulation of mitochondrial ROS and lethal lipid peroxides (LPO). These factors finally trigger the ferroptosis of tumor cells, an immunogenic cell death mode, which remodels the suppressive tumor immune microenvironment and synergizes with immunotherapy. Therefore, by switching paclitaxel-induced apoptosis to mevalonate metabolism-triggered ferroptosis, BC-LNPs@PTX provides new insight into the development of cytotoxic drugs and highlights the potential of metabolism regulation in cancer therapy.

Objective:To investigate associations between cardiac biomarkers with stroke severity and short-term outcome in patients with acute ischemic stroke (AIS).Methods:Patients with AIS admitted to the Affiliated Hospital of Qingdao University from June 2018 to February 2024 whose etiological classification was large artery atherosclerosis (LAA), small vessel occlusion (SVO) or cardioembolism (CE) were included retrospectively. According to the National Institutes of Health Stroke Scale score at admission, patients were divided into mild stroke group (≤8) and moderate to severe stroke group (>8). According to the modified Rankin Scale score at discharge, patients were divided into good outcome group (≤2) and poor outcome group (>2). Multivariate logistic regression analysis was used to determine the independent correlation between cardiac biomarkers and short-term outcome. The predictive value of cardiac biomarkers for poor outcome in patients with AIS and different stroke etiology subtypes were evaluated using receiver operating characteristic (ROC) curves. Results:A total of 2 151 patients with AIS were enrolled, including 1 256 males (58.4%), aged 67.40±11.34 years. 1 079 patents were LAA type (50.2%), 679 were SVO type (31.6%), and 393 were CE type (18.3%); 1 223 were mild stroke (56.86%) and 928 (43.14%) were moderate to severe stroke; 1 357 patients (63.09%) had good short-term outcome, and 794 (36.91%) had poor short-term outcome. Multivariate logistic regression analysis showed that N-terminal pro-B type natriuretic peptide (NT-proBNP), NT-proBNP/creatine kinase (CK) isoenzyme MB (CK-MB) ratio, and CK-MB/CK ratio were independent risk factors for poor short-term outcome. ROC curve analysis shows that the CK-MB/CK ratio had a higher predictive value for short-term poor outcome in patients with AIS (the area under the curve, 0.859, 95% confidence interval 0.839-0.879). Various cardiac biomarkers had a higher predictive value for short-term outcome of CE type and LAA type, but the predictive value for short-term outcome of SVO type was lower. Conclusions:Cardiac biomarkers are associated with the severity and poor outcome of AIS. NT-proBNP/CK-MB and CK-MB/CK ratios have higher predictive value for short-term poor outcome of AIS, especially in patients with CE type.