Objective To explore the factors affecting the quality of psychological assistance hotline connections in Shaanxi Province, and to provide a basis for optimizing services. Methods A total of 149 calls with suicidal tendencies were included from January to March 2022, and data were collected by 31 trained assessors through standardized questionnaires (general information, suicide risk, emotional intensity, and wiring characteristics). Results The results showed that 56.38% of the callers were female, with age groups concentrated between ≤ 18 years old (29.53%) and 19-34 years old (43.62%). The call duration was mainly between 31 and 45 minutes (50.34%). Operators conducted a suicide risk assessment on the callers, with 38.9% having a comprehensive assessment, 38.9% having an incomplete assessment, and 22.1% having no assessment. The main mental disorders of the callers were depression (48.32%), anxiety (15.44%), and bipolar disorder (14.77%), with 25.50% having comorbidities of ≥ 2 disorders. Emotional scores were as follows: depression (4.11 ± 0.76), sadness (3.97 ± 1.03), and despair (3.78 ± 1.05). There were significant differences in depression, anger, despair, and sadness among the callers with different levels of danger (t=4.79, 3.35, 15.79, 4.24, all P<0.05). Women had higher levels of fear than men (t=3.10, P<0.01). The longer the call duration, the higher the level of despair (t=5.66, P<0.01). Multiple regression analysis showed that incomplete suicide risk assessment by operators (B=-2.36), general procedures for operators' connections (B=5.44), and technical factors (B=2.01) significantly affected the quality of psychological assistance hotlines (all P<0.05). Conclusion Callers with suicidal tendencies generally have serious mental and psychological problems and prominent negative emotions. Strengthening the suicide risk assessment ability of operators and standardizing processes and service attitudes are key to improving the quality of psychological assistance hotlines.

Objective To explore the chain-mediating effect of anxiety and maladaptive coping strategies on perceived social support and post-traumatic stress disorder(PTSD)in primary caregivers of children with acute leukemia.Methods Two hundred primary care-givers of children with acute leukemia treated in the Pediatric Hematology Department of Shengjing Hospital of China Medical University between September 2022 and April 2023 were selected.A general information questionnaire,Perceived Social Support Scale,Self-Rating Anxiety Scale,Trait Coping Style Questionnaire,and Post-Traumatic Stress Disorder Checklist-Civilian Version were used for the survey.Pearson's correlation analysis was performed to determine the relationships between anxiety,maladaptive coping,perceived social sup-port,and PTSD.The chain-mediating effect was determined by structural equation modeling using Analysis of Moment Structures software and the Bootstrap method.Results PTSD was negatively correlated with perceived social support(r=-0.179,P＜0.05)and positively correlated with anxiety and maladaptive coping(r=0.762,P＜0.01;r=0.423,P＜0.01).Anxiety and maladaptive coping had chain-me-diating roles in the relationship between perceived social support and PTSD.Conclusion Perceived social support can indirectly affect the PTSD level of a caregiver through the chain-mediating effect of anxiety and maladaptive coping strategies.In clinical practice,enhancing caregivers perception of social support can alleviate anxiety,promote positive coping strategies,reduce negative coping strate-gies,and effectively reduce the risk of developing PTSD.

Background:Duodenal papillary adenoma is a benign tumor with relatively low incidence but significant carcinogenesis potential.Despite the minimal invasiveness and low complication rate,endoscopic papillectomy is associated with a definite risk of recurrence for duodenal papillary adenoma.Investigating the driver genes of duodenal papillary adenoma and establishing predictive models for recurrence and malignant progression could facilitate the precision medicine.Aims:To identify the key driver genes for tumor occurrence,carcinogenesis and recurrence in duodenal papillary adenoma by integrating multi-dimensional bioinformatics approaches based on transcriptomics data,and validate clinically.Methods:Expression profiles of duodenal papillary adenoma and adenocarcinoma were obtained from the GEO database(including data sets GSE189035,GSE94919,GSE111156,and GSE102208).Differentially expressed genes(DEGs)between adenomatous and normal tissues were screened.Weighted gene co-expression network analysis(WGCNA)and pseudo-time analysis were combined to identify the core genes exhibiting an"initial rise followed by decline"expression pattern during the dynamic progression from normal tissue to adenoma and adenocarcinoma.Functional annotation,immune microenvironment profiling,and protein-protein interaction network analysis were performed to explore the tumor-promoting mechanisms of these core genes.Clinical validation was conducted using immunohistochemistry to estimate the gene expression level and its relationship with tumor recurrence.Results:A total of 469 common DEGs were identified.WGCNA revealed that the blue module(including 1 051 genes)was associated with adenoma development and progression(Cor=-0.29,0.15,and 0.11 for normal tissue,adenoma,and adenocarcinoma,respectively).Intersection with DEGs pinpointed four key genes:SLC12A2,BEST4,SLC37A2,and SOAT2.Pseudo-time analysis demonstrated that only SLC12A2 maintained sustained high expression in both adenoma and adenocarcinoma tissues.KEGG enrichment analysis indicated that SLC12A2 was linked to various malignant pathways(e.g.,PD-1/PD-L1 signaling pathway),and its high expression correlated with the reduced immune cell infiltration(e.g.,γδ T cells,CD8+T cells,etc.).Clinical validation by immunohistochemistry confirmed the trend of initial upregulation and subsequent downregulation of SLC12A2 expression in normal,adenoma,and adenocarcinoma tissues.Patients with tumor recurrence showed higher SLC12A2 expression level(P=0.004);likewise,SLC12A2 high expression was associated with an elevated recurrence risk(P=0.034).Conclusions:SLC12A2 serves as a critical driver of tumorigenesis and progression for duodenal papillary adenoma,and might be a promising biomarker for recurrence prediction.

Objective To explore the chain-mediating effect of anxiety and maladaptive coping strategies on perceived social support and post-traumatic stress disorder(PTSD)in primary caregivers of children with acute leukemia.Methods Two hundred primary care-givers of children with acute leukemia treated in the Pediatric Hematology Department of Shengjing Hospital of China Medical University between September 2022 and April 2023 were selected.A general information questionnaire,Perceived Social Support Scale,Self-Rating Anxiety Scale,Trait Coping Style Questionnaire,and Post-Traumatic Stress Disorder Checklist-Civilian Version were used for the survey.Pearson's correlation analysis was performed to determine the relationships between anxiety,maladaptive coping,perceived social sup-port,and PTSD.The chain-mediating effect was determined by structural equation modeling using Analysis of Moment Structures software and the Bootstrap method.Results PTSD was negatively correlated with perceived social support(r=-0.179,P＜0.05)and positively correlated with anxiety and maladaptive coping(r=0.762,P＜0.01;r=0.423,P＜0.01).Anxiety and maladaptive coping had chain-me-diating roles in the relationship between perceived social support and PTSD.Conclusion Perceived social support can indirectly affect the PTSD level of a caregiver through the chain-mediating effect of anxiety and maladaptive coping strategies.In clinical practice,enhancing caregivers perception of social support can alleviate anxiety,promote positive coping strategies,reduce negative coping strate-gies,and effectively reduce the risk of developing PTSD.

Background:Duodenal papillary adenoma is a benign tumor with relatively low incidence but significant carcinogenesis potential.Despite the minimal invasiveness and low complication rate,endoscopic papillectomy is associated with a definite risk of recurrence for duodenal papillary adenoma.Investigating the driver genes of duodenal papillary adenoma and establishing predictive models for recurrence and malignant progression could facilitate the precision medicine.Aims:To identify the key driver genes for tumor occurrence,carcinogenesis and recurrence in duodenal papillary adenoma by integrating multi-dimensional bioinformatics approaches based on transcriptomics data,and validate clinically.Methods:Expression profiles of duodenal papillary adenoma and adenocarcinoma were obtained from the GEO database(including data sets GSE189035,GSE94919,GSE111156,and GSE102208).Differentially expressed genes(DEGs)between adenomatous and normal tissues were screened.Weighted gene co-expression network analysis(WGCNA)and pseudo-time analysis were combined to identify the core genes exhibiting an"initial rise followed by decline"expression pattern during the dynamic progression from normal tissue to adenoma and adenocarcinoma.Functional annotation,immune microenvironment profiling,and protein-protein interaction network analysis were performed to explore the tumor-promoting mechanisms of these core genes.Clinical validation was conducted using immunohistochemistry to estimate the gene expression level and its relationship with tumor recurrence.Results:A total of 469 common DEGs were identified.WGCNA revealed that the blue module(including 1 051 genes)was associated with adenoma development and progression(Cor=-0.29,0.15,and 0.11 for normal tissue,adenoma,and adenocarcinoma,respectively).Intersection with DEGs pinpointed four key genes:SLC12A2,BEST4,SLC37A2,and SOAT2.Pseudo-time analysis demonstrated that only SLC12A2 maintained sustained high expression in both adenoma and adenocarcinoma tissues.KEGG enrichment analysis indicated that SLC12A2 was linked to various malignant pathways(e.g.,PD-1/PD-L1 signaling pathway),and its high expression correlated with the reduced immune cell infiltration(e.g.,γδ T cells,CD8+T cells,etc.).Clinical validation by immunohistochemistry confirmed the trend of initial upregulation and subsequent downregulation of SLC12A2 expression in normal,adenoma,and adenocarcinoma tissues.Patients with tumor recurrence showed higher SLC12A2 expression level(P=0.004);likewise,SLC12A2 high expression was associated with an elevated recurrence risk(P=0.034).Conclusions:SLC12A2 serves as a critical driver of tumorigenesis and progression for duodenal papillary adenoma,and might be a promising biomarker for recurrence prediction.

AIM:To determine the concentration of ARV-471(a representative PROTAC drug)in mice plasma by establishing an HPLC-MS/MS method and to apply this method in pharmacokinetic studies in mice.METHODS:Verapamil was taken as the inter-nal standard,the mice plasma samples were extract-ed by methanol.After centrifugation,the superna-tant was analyzed by liquid chromatography-mass spectroscopy(LC-MS/MS).Chromatographic col-umn:ACQUITY UPLC HSS T3(1.8 μm,2.1 mm × 50 mm);The mobile phase consists of acetonitrile(containing 0.1％formic acid)and 2 mmol/L ammoni-um formate aqueous solution(containing 0.1％for-mic acid)for gradient elution;flow-rate of 0.6 mL/min;injection volume:2 μL.The electrospray ioniza-tion(ESI)is employed,operating in positive ion scan-ning mode with multiple reaction monitoring(MRM)detection.The specificity,standard curve and quanti-fication limit,precision and accuracy,recovery rate and matrix effect,stability and dilution reliability of this method were examined.Furthermore,the plas-ma concentration and pharmacokinetic parameters of ARV-471 in mice after intravenous injection of 5 mg/kg and oral gavage of 30 mg/kg were deter-mined and calculated.RESULTS:The results dem-onstrate that ARV-471 exhibits a good linear rela-tionship within the concentration range of 2.0 to 2 000.0 ng/mL.The intra-and inter-accuracy were between 80.0％and 120.0％,with the intra-and in-ter-precision less than 15％.The results of method-ological study of specificity,matrix effect,stability conformed to the requirements of the guideline.Pharmacokinetic parameters reveal that after oral administration of 30 mg/kg ARV-471 to male and fe-male mice,Cmax were(2 947.19±454.77)and(2 682.02±342.23)ng·mL-1;AUC0-twere(23 357.37±3 488.00)and(20 161.23±1 871.32)ng·h·mL-1;T1/2were(3.11±0.18)and(2.93±0.62)h.Tmax were(1.83±0.41)and(2.00±0.00)h for male and fe-male mice,respectively.After intravenous adminis-tration of 5 mg/kg ARV-471 to male and female mice,the AUC0-t values were found to be(18 219.07±2 059.41)and(17 238.01±2 380.55)ng·h·mL-1;T1/2 values were(2.76±0.23)and(2.73±0.20)h;The absolute bio-availability of ARV-471 were deter-mined to be(19.49±1.81)％and(21.37±3.19)％for male and female mice,respectively.CONCLU-SION:This study establishes a rapid and effective method for the pharmacokinetic research of ARV-471,laying the foundation for the pharmacokinetic studies of PROTAC drugs.

Objective:s To investigate the risk factors for delayed encephalopathy after acute carbon monoxide poisoning (DEACMP) in patients with acute carbon monoxide poisoning (ACOP) and to develop predictive models based on machine learning algorithms.Methods:Patients with ACOP hospitalized at the First Affiliated Hospital of Zhengzhou University from August 2019 to October 2024 were included, with the occurrence of DEACMP as the outcome measure. The dataset was randomly divided into training and validation sets at a ratio of 7:3. Lasso regression was used to select features influencing the outcome in training sets. Nine machine learning models—including Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM)—were constructed. Receiver operating characteristic (ROC) curves were plotted and the area under the curve (AUC) calculated for each model. Calibration curves were used to assess accuracy, and decision curve analysis (DCA) was applied to evaluate clinical utility. The SHapley Additive exPlanations (SHAP) method was employed to visualize and interpret the best-performing model.Results:A total of 264 ACOP patients were included, of whom 54 (20.5%) developed DEACMP. Lasso regression identified eight key feature variables. Based on these factors, predictive models were constructed, showing good AUC stability across the nine machine learning models in both training (0.92–0.99) and validation sets (0.85–0.91). The RF model performed best, with an AUC of 0.99 in the training set and 0.90 in the validation set; its calibration curve and DCA curve also demonstrated excellent performance. SHAP analysis of the RF model revealed the importance ranking of factors from highest to lowest as follows: Glasgow Coma Scale (GCS) score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, diastolic blood pressure (DBP), and drinking history.Conclusions:The RF model exhibited the highest predictive performance for DEACMP occurrence in ACOP patients. The influencing factors, ranked in order of importance from highest to lowest, are as follows: GCS score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, DBP, and drinking history.

In China, the number of chronic pain patients has exceeded 300 million, making chronic pain the third major health problem after tumors and cardiovascular diseases. Particularly concerning is the gradual emergence of hypertension and chronic low back pain as public health problems that threaten public health and increase the global economic burden. Modern research shows that the incidence of coexisting hypertension is higher among patients with chronic low back pain. Additionally, evidence indicates that the use of NSAIDs for pain relief can have adverse effects on blood pressure, and some antihypertensive medications may trigger symptoms of low back pain. Thus, addressing chronic pain in hypertensive patients while stabilizing blood pressure is one of the important research questions in the modern treatment of hypertension among middle-aged and elderly individuals. From ancient to modern traditional Chinese medicine(TCM) theory, kidney deficiency has been regarded as the core pathogenesis of low back pain. Recent clinical practices and literature indicate that kidney deficiency plays a crucial role in the modern pathogenesis of hypertension. Both hypertension and chronic low back pain are closely associated with kidney deficiency in TCM theory, revealing a potential mechanism linking the two conditions. Combining the theories of " kidney-essence-marrow" and " nourishing water to moisten wood", a therapeutic strategy centered on tobifying kidney was proposed, including selecting single drugs with kidney-tonifying effects as well as compound formulations and elaborating modern research evidence. The aim is to achieve stable blood pressure control in hypertension patients with chronic low back pain while providing a new treatment perspective for chronic low back pain. This article systematically elaborates on the understanding of hypertension combined with chronic low back pain from both TCM and modern medicine, as well as the therapeutic strategy involving kidney-tonifying drugs, to offer useful references for clinical practice.
Humans ; Hypertension/complications* ; Low Back Pain/complications* ; Drugs, Chinese Herbal/therapeutic use* ; Kidney/drug effects* ; Medicine, Chinese Traditional ; Chronic Pain/drug therapy*

Objective:This study empirically analyzes the relationship between outpatient and inpatient services under the impact of healthcare payment reform,and evaluates the effects of the reform.Methods:Data from healthcare services and basic medical insurance payments in eight districts of Jinhua City from 2020 to 2022 were used.A fixed-effects model for outpatient and inpatient services was constructed to analyze the impact of healthcare payment reforms and outpatient services on inpatient services.Results:The DRG-based payment had a significant positive effect on inpatient visits and a significant negative effect on employee basic medical insurance inpatient costs.The"capitation+APG"outpatient payment policy had a significant negative effect on inpatient visits and a significant negative effect on residents'basic medical insurance inpatient costs.The interaction between outpatient payment and outpatient visits had a significant negative effect on employee basic medical insurance inpatient visits,while the interaction between outpatient payment and outpatient costs had a significant negative effect on both overall and employee inpatient costs.Conclusions:The DRG payment reform led to an increase in inpatient visits and a reduction in employee basic medical insurance inpatient costs.The outpatient"capitation+APG"payment reform reduced inpatient visits and lowered residents'basic medical insurance inpatient costs,thereby slowing down the complementary effect between outpatient and inpatient services.