Objective To evaluate the frailty status and risk factors among hospitalized elderly patients after percutaneous coronary intervention(PCI),and to provide a reference for improving and delaying their frailty.Methods From March to August 2024,using convenience sampling,patients aged over 75 years who underwent PCI in a tertiary cardiovascular disease specialist hospital in Beijing were selected as the survey participants.Patient-related informations were collected through a self-designed general information questionnaire.The Fried Phenotype Frailty Scale,the Katz Activities of Daily Living,Lawton Instrumental Activities of Daily Living(IADL)scale,the Charlson Comorbidity Index,the Morse Fall Scale,the Mini Nutritional Assessment-Short Form(MNA-SF),and the 15-item Geriatric Depression Scale(GDS-15)were evaluated postoperatively until discharge.Univariate and multivariate logistic analyses were conducted to identify factors associated with frailty among patients after PCI.Results A total of 278 patients were included.The incidence of frailty after PCI was 52.16％.Based on Fried Phenotype scores,patients were divided into a non-frail group and a frail group.Univariate analysis showed statistically significant differences between the 2 groups in terms of age,gender,hemoglobin,NT-ProBNP,LVEF,IADL scores,living alone status,nutrition status,falls risk,and depression level(P＜0.05).Multivariate logistic regression analysis revealed that age,Lawton IADL scores,falls risk,nutrition status,depression level were factors influencing frailty,with odds ratios of 1.167,0.575,1.597,0.399,and 3.610,respectively(P＜0.05).Conclusion The incidence of frailty is high among patients aged over 75 years after PCI,and there are multiple risk factors affecting their frailty status.Clinical healthcare providers should prioritize long-term management of these patients and implement comprehensive interventions with the consideration of their physiological,psychological,and social conditions.

Objective To systematically review and quantify the content and structure of the non-accompanied wards policy texts at the provincial level in China from the perspective of policy tools,providing references and insights for optimizing and implementing future policies.Methods Using the policy analysis tools as framework,it applies content ana lysis to construct a two-dimensional analytical framework with the X-dimension and Y-dimension.A total of 19 policy texts related to non-accompanied ward issued by provincial governments in China from January 2000 to August 2024 were coded and analyzed.Results A total of 141 entries were coded.In the X-dimension,supply-oriented,demand-oriented,and environment-oriented policy tools accounted for 21.28%,19.86%,and 58.86%,respectively,indicating a greater reliance on environmental-oriented policy tools;In the Y-dimension,policies from the"12th Five-Year Plan"(16.31%),"13th Five-Year Plan"(14.89%),and"14th Five-Year Plan"(68.80%)phases were analyzed.The number of policies in the"14th Five-Year Plan"phase was the highest among the three periods.Conclusion The policy framework for non-accompanied wards in China is still in its initial exploration phase and has room for improvement.It is recommended that future policies optimize the use of policy tools,strengthen coordination among them,and support the development of non-accompanied wards.

Objective:To assess the predictive performance of a nomogram model integrating endoscopic ultrasound（EUS）radiomic features with clinical variables for distinguishing early esophageal squamous cell carcinoma（ESCC）from non-cancerous lesions.Methods:Clinical and imaging data from 454 patients who underwent EUS for suspected esophageal malignancies were retrospectively collected in the First Affiliated Hospital of Nanjing Medical University（training cohort， n = 323）and Dongyang People's Hospital（external validation cohort， n = 131）from January 2020 to November 2023. Independent clinical predictors of early ESCC were identified using univariable and multivariable Logistic regression analyses to establish a clinical model. Pearson correlation and Least Absolute Shrinkage and Selection Operator（LASSO）algorithms were used to construct a radiomics model. A combined model integrating radiomics scores and clinical predictors was developed and visualized as a nomogram. The predictive performance of each model was assessed using the area under the ROC curve（AUC），and calibration curves were used to evaluate the model's fitting capability. Results:The training set and validation set indicated that there were statistically significant differences in age，smoking history and lesion location between the early ESCC group and the non-cancerous lesion change group（all P < 0.05）. According to univariate and multivariate Logistic regression analysis，age（ OR = 1.039，95% CI = 1.003–1.077， P = 0.036）and smoking（ OR = 2.358，95% CI = 1.270 - 4.376， P = 0.007）were identified as independent predictors and used to develop the clinical model，with AUCs of 0.608 and 0.694 in the training and validation cohorts，respectively. Fourteen optimal radiomic features were selected to construct the radiomics model，with AUCs of 0.881 and 0.807 in the training and validation cohorts，respectively. The combined nomogram model demonstrated superior predictive performance with AUCs of 0.893 and 0.830，sensitivities of 82.5% and 79.1%，and specificities of 82.2% and 81.3% in the training and validation cohorts，respectively. Conclusions:The EUS-based nomogram model demonstrates optimal predictive performance and can serve as a non-invasive tool to assist endoscopists in distinguishing early ESCC from non-cancerous lesions.

Depression is a common mental illness that has a negative impact on patient quality of life,as well as representing a serious economic burden to society.The strategy of interfering with depression based on signaling pathways has recently attracted widespread attention.The cAMP pathway is an important cellular signaling pathway that plays a key role in the pathogenesis of and interventions for depression.In this review,we addresses recent studies on cAMP pathway-based interventions in depression,to provide a theoretical basis for regulating the cAMP pathway and its cascade mechanism in depression.

Small cell lung cancer (SCLC) is the thoracic malignant tumor and accounts for about 15% of lung malignancies and transfer often occurs by the time of diagnosis. Extensive stage-small cell lung cancer (ES-SCLC) accounts for about 2/3 of all SCLC. For many years, radiotherapy has occupied an important position in the treatment of SCLC, especially in the treatment of ES-SCLC, because SCLC is more sensitive to radiotherapy. However, in recent years, immune checkpoint inhibitor has shown more excellent antitumor activity in the treatment of ES-SCLC and become the mainstream argument for the treatment of ES-SCLC. However, will radiotherapy be buried by the times among the therapeutic approaches for ES-SCLC? In this article, we will review the clinical progress of radiotherapy, immunotherapy and combination therapy for ES-SCLC.
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Humans ; Small Cell Lung Carcinoma/therapy* ; Lung Neoplasms/therapy* ; Immunotherapy ; Neoplasm Staging ; Radiotherapy/methods* ; Combined Modality Therapy

Objective To investigate the mechanism of Shugan Zhixie Prescription in treating irritable bowel syndrome with diarrhea(IBS-D)using network pharmacology;To validate the findings through in vivo experiments.Methods Active components and potential targets of Shugan Zhixie Prescription were identified via the TCMSP database.Disease targets for IBS-D were retrieved from GeneCards,DisGeNET and OMIM databases.The intersection of drugs and disease targets was taken,and the protein interaction network was constructed by using STRING database.GO and KEGG pathways were enriched to identify the key signaling pathways of Shugan Zhixie Prescription in the treatment of IBS-D.The rat model of liver depression and spleen deficiency type IBS-D was established by the method of abnormal hunger and satiety,restraint pinch stress and intestinal perfusion of acetic acid.The rats were intervened with low-,medium-and high-dosage of Shugan Zhixie Prescription respectively for 14 days.Serum contents of diamine oxidase(DAO),interleukin(IL)-8,and IL-18 were measured by ELISA.Protein expressions and mRNA expressions of relevant targets in colonic tissue were detected using Western blot and RT-qPCR.Results A total of 26 active components and 553 targets of Shugan Zhixie Prescription were obtained,and 1 930 targets of IBS-D disease were obtained,with 184 drug-disease intersection targets.The possible mechanism was related to NF-κB,AGE-RAGE,Th17 cell differentiation and other signaling pathways.Animal experiments demonstrated that Shugan Zhixie Prescription could significantly reduce defecation frequency,fecal water content,and inflammatory cytokine levels in model rats.It markedly decreased TLR4 and NF-κB protein expressions(P<0.01),while increased AQP3,AQP8 and Occludin protein expressions in colonic tissue(P<0.01,P<0.05).Conclusion Shugan Zhixie Prescription exerts therapeutic effects on IBS-D through multiple pathways and targets,and the mechanism may be related to inhibiting TLR4/NF-κB signaling pathway and promoting intestinal barrier repair.

Objective:To investigate alterations in the immune lineage of T-cell large granular lymphocytic leukemia (T-LGLL) at the single-cell transcriptome level and to elucidate its pathogenic mechanisms.Methods:Peripheral blood samples were collected from 5 T-LGLL patients before and after treatment (from June 2019 to December 2020) and 3 healthy controls at the Institute of Hematology & Blood Diseases Hospital, CAMS & PUMC. Single-cell transcriptome sequencing libraries were prepared and sequenced using 10× Genomics technology. Differentially expressed genes in immune cells were compared between patients and healthy donors, followed by pathway enrichment analyses.Results:Profiling 67,237 immune cells revealed that, in T-LGLL: 1) Effector CD8+ T cells exhibited increased numbers, enhanced cytotoxicity, and greater proliferative capacity. Following effective immunosuppressive therapy, both the proliferative capacity and effector functions of these cells significantly decreased ( P<0.05). 2) The proportion of regulatory T (Treg) cells was reduced, accompanied by increased apoptosis. After effective immunosuppressive therapy leading to remission, Treg cell proportions increased, and apoptotic pathways were downregulated ( P<0.05). 3) Antigen-presenting cells (APCs) showed enhanced functionality. Monocytes and dendritic cells were enriched in antigen synthesis and presentation pathways, while B cells displayed increased antigen-binding capacity and were enriched in pathways related to T-cell activation ( P<0.05). 4) Natural killer (NK) cells exhibited attenuated cytotoxic function but demonstrated an enhanced regulatory capacity over T cells ( P<0.05) . Conclusions:T-LGLL patients present a characteristic immunological profile marked by an imbalance in immune homeostasis. This profile includes abnormal activation and expansion of effector CD8 + T cells, and a reduction in Treg cell numbers accompanied by functional impairment. Furthermore, APCs and NK cells were found to positively regulate T-lymphocyte activation, differentiation, and proliferation.

Objective:To investigate the inhibitory effect of tripartite motif-containing 25 (TRIM25) on the replication of Japanese encephalitis virus (JEV) in cells and its molecular mechanism.Methods:Human glioma cells (U251 cells) and Kunming mice were infected with JEV, and then the cells and brain tissue samples were collected. The transcription levels of six TRIM genes were detected by real-time PCR, and the expression of TRIM25 in cells was detected by Western blot. U251 and A549 cells overexpressed with TRIM25 and U251 cells knocked out with TRIM25 gene were constructed. Cells were infected with JEV, and the replication of JEV was detected by viral plaque assay, real-time PCR and Western blot. The interaction of TRIM25 with viral proteins was investigated by co-immunoprecipitation (Co-IP) and indirect immunofluorescence assay. The expression of IFN-β in overexpressed TRIM25 cells was detected by real-time PCR and ELISA.Results:JEV infection promoted the expression of TRIM25 in cells and mouse brain tissues. TRIM25 overexpression restricted JEV replication in U251 and A549 cells, while TRIM25 knockout enhanced JEV replication. TRIM25 overexpression upregulated the level of IFN-β in cells. TRIM25 interacted with JEV capsid protein and promoted the degradation of capsid protein.Conclusion:TRIM25 can inhibit the replication of JEV in cells by upregulating IFN-β and promoting the degradation of JEV C protein.

Cardiotocography (CTG) is a non-invasive and important tool for diagnosing fetal distress during pregnancy. To meet the needs of intelligent fetal heart monitoring based on deep learning, this paper proposes a TWD-MOAL deep active learning algorithm based on the three-way decision (TWD) theory and multi-objective optimization Active Learning (MOAL). During the training process of a convolutional neural network (CNN) classification model, the algorithm incorporates the TWD theory to select high-confidence samples as pseudo-labeled samples in a fine-grained batch processing mode, meanwhile low-confidence samples annotated by obstetrics experts were also considered. The TWD-MOAL algorithm proposed in this paper was validated on a dataset of 16 355 prenatal CTG records collected by our group. Experimental results showed that the algorithm proposed in this paper achieved an accuracy of 80.63% using only 40% of the labeled samples, and in terms of various indicators, it performed better than the existing active learning algorithms under other frameworks. The study has shown that the intelligent fetal heart monitoring model based on TWD-MOAL proposed in this paper is reasonable and feasible. The algorithm significantly reduces the time and cost of labeling by obstetric experts and effectively solves the problem of data imbalance in CTG signal data in clinic, which is of great significance for assisting obstetrician in interpretations CTG signals and realizing intelligence fetal monitoring.
Humans ; Pregnancy ; Female ; Cardiotocography/methods* ; Deep Learning ; Neural Networks, Computer ; Algorithms ; Fetal Monitoring/methods* ; Heart Rate, Fetal ; Fetal Distress/diagnosis* ; Fetal Heart/physiology*

Objective:To explore the factors influencing adherence to voice therapy among patients with voice disorders in China. Methods:Patients with voice disorders who visited the Voice Therapy Center at Sun Yat-sen Memorial Hospital, Sun Yat-sen University, from February to May 2022 were enrolled in the study. Adherence was assessed using the URICA-Voice scale, while influencing factors were assessed through the Voice Handicap Index（VHI） scale and a general information questionnaire. Correlation analysis was conducted using univariate and multivariate logistic regression analysis. Results:A total of 247 patients were included in the study, comprising 57 males（23.08%） and 190 females（76.92%）. The results revealed that: ①Female patients demonstrated higher likelihood of being in the contemplation stage（OR=0.22） compared to males. ②Patients with a monthly family income per capita>6 000 yuan were more likely to be in the contemplation stage than those with<3 000 yuan with an OR = 13.94. ③High vocal-demand occupations increased contemplation stage probability（OR=7.70） compared to moderate-demand occupations. ④Residence within 30-minute commute predicted action/maintenance stages（OR=7.14） versus≥60-minute commute. ⑤Patients whose occupations had high voice demands were more likely to be in the action and maintenance stages than those with average voice demands, with an OR of 16.20. Conclusion:Gender, monthly family income per capita, occupational voice demands, and distance to the hospital significantly impact the URICA-Voice compliance stages of patients. Patients who are female, have higher family income, have occupations with high voice demands, and live closer to the hospital exhibit higher compliance with voice training.
Humans ; Male ; Female ; Voice Disorders/therapy* ; Patient Compliance ; Voice Training ; Surveys and Questionnaires ; China ; Middle Aged ; Adult ; Voice Quality ; Logistic Models ; Aged