Objective To investigate the safety, economic benefits and psychological effects of day breast conserving surgery for breast cancer. Methods The demographic data and clinical data of breast cancer patients undergoing day (day surgery group) and ward (ward surgery group) breast conserving surgeries in West China Hospital of Sichuan University from March 2020 to June 2021 were retrospectively collected; the demographic data, clinical data, medical and related transportation costs, and preoperative and postoperative BREAST-Q scores of breast cancer patients undergoing day (day surgery group) and ward (ward surgery group) breast conserving surgery in West China Hospital of Sichuan University from June 2021 to June 2022 were prospectively collected. The safety, economic benefit, and psychological satisfaction of day surgery was analyzed. Results A total of 42 women with breast cancer were included in the retrospective study and 39 women with breast cancer were included in the prospective study. In both prospective and retrospective studies, the mean age of patients in both groups were <50 years. There were only statistical differences between the two groups in the aspects of hypertension (P=0.022), neoadjuvant chemotherapy (P=0.037) and postoperative pathological estrogen receptor (P=0.033) in the prospective study. In postoperative complications, there were no statistical differences in the surgical-related complications or anesthesia-related complications between the two groups in either the prospective study or the retrospective study (P>0.05). In terms of the overall cost, we found that the day surgery group was more economical than the ward surgery group in the prospective study (P=0.002). There were no statistical differences in postoperative psychosocical well-being, sexual well-being, satisfaction with breasts or chest condition between the two groups (P>0.05). Conclusion It is safe and reliable to carry out breast conserving surgery in day surgery center under strict management standards, which can save medical costs and will not cause great psychological burden to patients.

The pathological changes of myocardial infarction （MI） are mainly characterized by progressive myocardial ischemic necrosis， decline in cardiac diastolic function， thinning of the ventricular wall， and enlargement of the ventricles. The clinical manifestations include myocardial ischemia， heart failure， arrhythmia， shock， and even sudden cardiac death， rendering MI one of the most perilous cardiovascular diseases. Currently， the clinical treatment for MI primarily involves interventional procedures and drug therapy. However， due to their significant side effects and high complication rates associated with these treatments， they fail to ensure a satisfactory quality of life and long-term prognosis for patients. On the other hand， traditional Chinese medicine has demonstrated remarkable potential in improving patient prognosis while reducing side effects. Research has elucidated that various signaling pathways such as nuclear transcription factor-κB （NF-κB）， adenosine 5̒-monophosphate-activated protein kinase （AMPK）， transforming growth factor-β （TGF-β）/Smads， mitogen-activated protein kinase （MAPK）， Wnt/β-catenin （β-catenin）， and phosphatidylinositol 3-kinase （PI3K）/protein kinase B（Akt） play crucial roles in regulating the occurrence and development of MI. Effectively modulating these signaling pathways through its therapeutic interventions， traditional Chinese medicine can enhance MI management by inhibiting apoptosis， providing anti-inflammatory properties， alleviating oxidative stress levels， and resisting myocardial ischemia. Due to its notable efficacy and favorable safety， it has become an area of focus in clinical practice.

Objective: To explore the current status and influencing factors of eating behaviors in adolescents, so as to provide a theoretical foundation for health promotion education among adolescents. Methods: Based on the database from Survey of Chinese Family Health Index (2021), by a random number table method, 1 065 teenagers were selected from the provincial capitals of 22 provinces and 5 autonomous regions in China, as well as 4 municipalities directly under the central government. A general characteristic questionnaire, Patient Health Questionnaire-9 (PHQ-9), Short Form of the Family Health Scale (FHS-SF), 10-item Short Version of the Big Five Personality(BFP-10), Content-based Media Exposure Scale (CM-E) and Sakata Eating Behavior Scale Short Form(EBS-SF) were used to collect information. Multivariate stepwise linear regression analysis was employed to identify and analyze related factors of eating behaviors among adolescents. Receiver operating characteristic was used to validate the predictive ability of the EBS-SF score for overweight and obesity among adolescents. Results: The average scores of BFI-10,C-ME, FHS-SF, PHQ-9 and EBS-SF were (33.08±4.64)(19.20±4.55)(38.48±6.65)(6.09±5.63)(16.75±4.36), respectively. Multivariate linear regression showed that family type (other types), agreeableness, conscientiousness, family health and depression were the main related factors of EBS-SF scores among adolescents( B =2.61,-0.42,0.20,-0.11,0.23, P <0.05).The analysis of receiver operating characteristic curve showed that the EBS-SF scores had a good ability in predicting obesity among male adolescents ( AUC= 0.73, P <0.01). Conclusions Family type, big five personality, family health,depression are the related factors of eating behaviors among adolescents. EBS-SF scores are predictive of obesity in adolescents, which would provide a new perspective for promoting healthy eating habits among adolescents.

Objective: To explore the network structure of eating behaviors with anxiety, depression and perceived stress in adolescents, so as to provide a basis for effective prevention and intervention of eating behavior problems and negative emotions in adolescents. Methods: Based on the Psychology and Behavior Investigation of Chinese Residents (2021) database, the study was conducted among 3 087 adolescents. Sakata Eating Behavior Scale Short From(EBS-SF) was used to investigate their eating behaviors. The Patient Health Questionnaire-9(PHQ-9), Generalized Anxiety Disorder Scale-7 Item(GAD-7), and Perceived Stress Questionnaire-3 Item (PSQ-3) were used to evaluate their depression, anxiety and perceived stress. Network analysis method was applied to construct a network of eating behaviors and negative emotional symptoms among adolescents, so as to evaluate the centrality, bridge strength, stability and accuracy of each item. Results: The total scores of eating behaviors, depression,anxiety and stress perception in adolescents were 17.41±4.53,6.95±6.08,4.86±5.03,9.34±3.80,respectively. The symptom with the highest intensity and expected impact was "I am only satisfied when I buy more food than I need", with a node intensity and expected impact value of 4.37. The nodes Depression and Anxiety were the most closely connected(weight=0.87). There were no statistically significant differences in the network structure( M =0.13,0.11) and network connection strength(female and male:4.16,4.06, s =0.10;urban and rural areas:4.08,4.07, s =0.01) between different sexes and residents ( P >0.05). Conclusion The negative impact of comorbidities such as anxiety, depression, perceived stress and eating behaviors among adolescents can be reduced through targeted prevention and intervention of core symptoms and bridging symptoms.

OBJECTIVES: To design a deep learning model that balances model complexity and performance to enable its integration into wearable ECG monitoring devices for automated diagnosis of atrial fibrillation. METHODS: This study was performed based on data from 84 patients with atrial fibrillation, 25 patients with atrial fibrillation, and 18 subjects without obvious arrhythmia collected from the publicly available datasets LTAFDB, AFDB, and NSRDB, respectively. A lightweight attention network based on depthwise separable convolution and fusion of channel-spatial information, namely DSC-AttNet, was proposed. Depthwise separable convolution was introduced to replace standard convolution and reduce model parameters and computational complexity to realize high efficiency and light weight of the model. The multilayer hybrid attention mechanism was embedded to compute the attentional weights of the channels and spatial information at different scales to improve the feature expression ability of the model. Ten-fold cross-validation was performed on LTAFDB, and external independent testing was conducted on AFDB and NSRDB datasets. RESULTS: DSC-AttNet achieved a ten-fold average accuracy of 97.33% and a precision of 97.30% on the test set, both of which outperformed the other 4 comparison models as well as the 3 classical models. The accuracy of the model on the external test set reached 92.78%, better than those of the 3 classical models. The number of parameters of DSC-AttNet was 1.01M, and the computational volume was 27.19G, both smaller than the 3 classical models. CONCLUSIONS This proposed method has a smaller complexity, achieves better classification performance, and has a better generalization ability for atrial fibrillation classification.
Atrial Fibrillation/diagnosis* ; Humans ; Electrocardiography ; Deep Learning ; Wearable Electronic Devices ; Neural Networks, Computer

Objective : To analyze the current status of anti-PD-1 combined with chemotherapy in advanced gastric cancer. Methods: The clinical data of 120 patients with advanced gastric cancer treated with chemotherapy or anti-PD-1 plus chemotherapy were retrospectively analyzed. The efficacy [measures include objective response rate(ORR), disease control rate(DCR), and progression-free survival(PFS)]and the occurrence of adverse reactions in patients was monitored. Univariate and multivariate Cox were used to analyze the relationship between clinicopathologic data [including age, gender, body mass index(BMI), differentiation degree, and related hematological indexes], specific treatment conditions and PFS, and to analyze the influence of treatment plan and line number on the curative effect. Results : The PFS of chemotherapy plus immunotherapy was significantly better than that of chemotherapy alone(P<0.05), and the median PFS of the two was 7.17 months(95%CI5.85-8.49) and 5.33 months(95%CI3.96-5.70), respectively. In the combination group, the overall ORR was 27.5% and DCR was 94.8%. In the chemotherapy group alone, the overall ORR was 9.7% and DCR was 69.4%.In the chemotherapy plus anti-PD-1 group, a high prognostic nutritional index(PNI) level also provided superior PFS in patients with a 47% reduction in the risk of progression versus a low PNI level [HR0.53(95%CI0.30-0.96);P<0.05]. The median PFS was 7.47 months(95%CI5.83-9.11) with a high PNI level versus 6.00 months(95%CI4.45-7.55) with a low PNI level. The overall incidence of adverse reactions of chemotherapy combined with anti-PD-1 was slightly higher than that of chemotherapy alone, and the incidence of adverse reactions of grade 3-4 was similar, within a controllable range, and could be improved after clinical treatment. Conclusion The efficacy of anti-PD-1 combined with chemotherapy in patients with advanced gastric cancer is better than that of chemotherapy, and the adverse reactions are controllable. In the chemotherapy plus anti-PD-1 group, patients with high PNI levels achieved a higher PFS.

Objective:To analyze the risk factors affecting regional lymph node metastasis in salivary gland mucoepidermoid carcinoma (MEC) and to establish a nomogram model for individually predicting lymph node metastasis in salivary gland MEC.Methods:The clinical data of 2 152 patients with salivary gland MEC from 1975 to 2020 were collected from the Surveillance, Epidemiology, and End Results (SEER) database of the National Cancer Institute. The collected data were divided into training cohort (1 506 cases) and validation cohort (646 cases) according to the ratio of 7∶3. Single-factor regression and multi-factor logistic regression were used to screen factors related to local lymph node metastasis in salivary gland MEC, with constructing of a nomogram. Calibration curve, receiver operating characteristic (ROC) curve, area under the ROC curve (AUC) and decision curve analysis were used to evaluate model performance in the validation cohort and the total cohort. Statistical tests were performed using SPSS (26.0) and R (4.3.0) software.Results:Multivariate logistic regression results showed that M stage [ OR(95% CI):12.360(3.295-46.365), P=0.014], pathological grade Ⅱ、Ⅲ、Ⅳ[ OR(95% CI): 1.956(1.329-2.879), 9.654(6.309-14.772), 9.298(6.072-14.238), P<0.001], T staging T2, T3, T4[ OR(95% CI): 1.706(0.932-3.124), 3.021(1.790-5.096), 3.311(1.925-5.695), P<0.001], and gender [ OR(95% CI):0.759(0.593-0.972), P=0.029] were independent factors affecting local lymph node metastasis in salivary gland MEC. Through verification in the validation cohort and the total cohort, the AUC values were greater than 0.8, and the calibration curve was close to the perfect reference line, proving that the constructed nomogram model had good specificity and sensitivity for predicting local lymph node metastasis in salivary gland MEC. Conclusion:M stage, pathological grade, T stage, and gender are risk factors for predicting regional lymph node metastasis and the established-nomogram has good predictive performance for local lymph node metastasis in salivary gland MEC.

Objective To explore the molecular mechanism of Yixin Tongbi Mixture in the intervention of atherosclerosis(AS).Methods Thirty-six SD rats were divided into the normal control group,model con-trol group,low dose Yixin Tongbi Mixture group,medium dose Yixin Tongbi Mixture group,high dose Yixin Tongbi Mixture group and atorvastatin group,6 cases in each group.Except the normal control group,the oth-er groups adopted the high fat vitamin D3 mixed feed gavage for constructing the rat AS model.The low dose,medium dose and high doses Yixin Tongbi Mixture groups were gavaged by 10,20,40 g/kg Yixin Tongbi Mixture.The atorvastatin group was gavaged by 5 mg/kg atorvastatin;and the normal control group and mod-el control group were gavaged by placebo once a day for consecutive 14 d.The pathological changes of aortic tissues were observed by HE staining.The levels of serum TC,TG,HDL and LDL were detected by automatic biochemical analyzer.The expression levels of IL-6,TNF-α and ICAM-1 in aortic tissue were detected by ELISA.The expression levels of MMP-2 and MMP-9 in aortic tissue and Bax and Bcl-2 protein expression lev-els in cardiac tissue were detected by Western blot.Results Compared with the normal control group,the aor-tic wall of the model control group rats was significantly thickened,and the levels of serum TC,TG,HDL and LDL were increased.The expression levels of MMP-2,MMP-9,IL-6,TNF-α and ICAM-1 in the aortic tissues were also increased.The expression level of Bax in the myocardial tissues was increased,while the expression level of Bcl-2 was decreased,and the differences were statistically significant(P＜0.05).Compared with the model control group,the above indicators in the medium dose and high doses Yixin Tongbi Mixture groups and atorvastatin group were significantly improved(P＜0.05).Except Bax,IL-6 and ICAM-1 expression lev-els,the other indicators in the low dose Yixin Tongbi Mixture group had no statistically significant differences(P＞0.05).Conclusion Yixin Tongbi Mixture could inhibit the AS occurrence and development by inhibiting inflammation and cellular apoptosis,and its mechanism is related to the abnormal expression of IL-6/TNF-αand MMP-2/MMP-9.

Objective To systematically explore the traditional Chinese medicine(TCM)common symptoms,syndrome elements,clinical syndrome differentiation,and medication rules of coronary microvascular disease(CMVD),and to provide a reference for quantitative criteria of clinical differentiation of CMVD,specification of the diagnosis and efficacy evaluation of TCM clinical syndrome,and guidance of clinical medication.Methods The databases including CNKI,Wanfang,VIP,and SinoMed were searched for research papers on the treatment of CMVD by TCM published from database inception to May 16,2023.Relevant information of the included literature was extracted and the database was established.Then,the frequency statistics of symptoms,syndrome elements,syndrome types and Chinese medicinals were carried out.Latent structural models were constructed using Latern 5.0 and Rstudio softwares respectively for comprehensive clustering and association rule analysis,so as to explore the symptom characteristics,syndrome elements distribution,common syndromes and medication rules for TCM treatment of CMVD.Results A total of 107 literature were included,involving 36 syndromes,17 syndrome elements,121 symptoms and 143 Chinese medicinals.It was speculated that the main syndrome element of CMVD was blood stasis,followed by qi deficiency,qi stagnation,phlegm turbidity,yin deficiency and yang deficiency.The main type of syndrome was qi deficiency and blood stasis,followed by heart blood stasis obstruction,qi stagnation and blood stasis,phlegm blended with stasis,qi-yin deficiency,etc..The main medicinals were Chuanxiong Rhizoma,Salviae Miltiorrhizae Radix et Rhizoma,Angelica Sinensis Radix and Astragali Radix.The medicinals used in the treatment of CMVD were classified as blood-activating and stasis-resolving drugs,deficiency-tonifying drugs,qi-regulating drugs in terms of their efficacy.Conclusion The location of CMVD is in heart,and related to liver and kidney.The syndrome of CMVD is deficiency in origin and excess in superficiality.Blood stasis runs through the development of the disease.The treatment is mainly to activate blood circulation and remove stasis,activate meridians and relieve pain,which should be supplemented with the therapies of tonifying and invigorating qi,soothing the liver and regulating qi,dispelling phlegm and dissipating masses according to the patients'syndromes.

Objective This study aims to examine the potential mechanism of Shenfu Yixin Granules on heart failure(HF)based on network pharmacology,molecular docking,and experimental verification.Methods(1)The active components of herbs in Shenfu Yixin Granules were screened and retrieved through the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP).PubChem database and Swiss Target Prediction platform were used to predict targets.GeneCards and OMIM databases were used to screen HF-related targets.The intersection of active ingredient targets of Shenfu Yixin Granules and HF-related targets was performed by using Venny 2.1.0 platform to obtain common targets,which were the potential targets for anti-HF effect of Shenfu Yixin Granules.The potential targets were imported into the STRING database to construct a protein-protein interaction(PPI)network and screen the core targets of Shenfu Yixin Granules for the treatment of HF.GO functional and KEGG pathway enrichment analysis of potential targets were carried out by using DAVID database.AutoDock Vina software was used for molecular docking validation of key active ingredients and core targets.(2)SD rats were randomly allocated into sham operation group,model group,Shenfu Yixin Granules(5.28 g·kg-1)group,and positive control group(sacubitril-valsartan,20.8 mg·kg-1),with eight rats in each group.A rat model of HF after myocardial infarction was established by ligating the left anterior descending coronary artery.The rats were subsequently administered orally with the corresponding drugs once daily for a period of four weeks.Cardiac function including left ventricular ejection fraction(LVEF)and left ventricular fraction shortening(LVFS)in rats was assessed by echocardiography.Additionally,the histopathological alterations in rat heart tissue were examined using hematoxylin-eosin(HE)staining and Masson staining.The serum levels of brain natriuretic peptide(BNP),artial natriuretic peptide(ANP),and aldosterone(ALD)were determined by enzyme-linked immunosorbent assay(ELISA).Furthermore,real-time quantitative PCR and Western Blot were employed to detect mRNA and protein expressions of CAV1、F2 and MAPK1 in heart tissue.Results(1)A total of 210 active ingredients and 1 196 targets of Shenfu Yixin Granules,as well as 801 HF-related targets were obtained.Venny 2.1.0 platform was used to acquire 97 potential targets(common targets)of Shenfu Yixin Granules for the treatment of HF.Key active ingredients,such as quercetin,luteolin,arachidonic acid,kaempferol,and tanshinaldehyde were screened by"drugs-active ingredients-disease-targets"network analysis.The core targets including MAPK1、F2、CAV1、EDN1 and GJA1 were identified through PPI network analysis.The potential targets are mainly concentrated in multiple biological processes,namely,the positive regulation of gene expression,cardiac development,and the positive regulation of MAPK cascade,and involve multi key pathways including MAPK signaling pathway,HIF-1 signaling pathway and PI3K/Akt signaling pathway etc.Good binding activities were observed between MAPK1,CAV1,EDN1,F2 and quercetin,luteolin,kaempferol,tanshinaldehyde,as well as MAPK1,F2 and arachidonic acid.(2)Compared with sham operation group,LVEF and LVFS of rats significantly reduced(P＜0.01),heart mass index obviously increased(P＜0.05)in the model group.Myocardial tissue appears obvious pathological damage,and the degree of interstitial fibrosis was serious.The collagen volume fraction of the heart significantly increased(P＜0.01).The levels of serum BNP,ANP and ALD significantly increased(P＜0.01).The mRNA and protein expressions of CAV1、F2 and MAPK1 in heart tissue significantly increased(P＜0.05,P＜0.01).Compared with the model group,LVEF and LVFS of rats obviously increased(P＜0.01),but the decrease in heart mass index was not significant(P＞0.05)in Shenfu Yixin Granules group and positive control group.The pathological damage in myocardial tissues was significantly improved,the degree of interstitial fibrosis was significantly reduced.The collagen volume fraction of the heart significantly decreased(P＜0.01).The levels of serum BNP,ANP and ALD significantly decreased(P＜0.01).The mRNA and protein expressions of CAV1、F2 and MAPK1 in heart tissue significantly decreased(P＜0.05,P＜0.01).Conclusion Shenfu Yixin Granules may improve heart function and myocardial fibrosis in heart failure rats through the interaction between the active ingredients(quercetin,luteolin,arachidonic acid,kaempferol,and tanshinaldehyde)and targets(MAPK1,F2,CAV-1,and EDN1),so as to regulate MAPK signaling pathway and PI3K/Akt signaling pathway.