Objective:To analyze the differences in emergency rescue service capacities between county-level hospitals in Zhejiang and Jiangsu provinces, and propose targeted improvement suggestions.Methods:Cluster sampling was employed, with representative county-level hospitals recommended by provincial hospital alliances in Zhejiang and Jiangsu. Emergency departments voluntarily submitted data, resulting in 24 hospitals from Zhejiang and 34 from Jiangsu. Data were collected through the China County-Level Hospital Emergency Service Capability Evaluation System. Differences between provinces were analyzed. Spearman correlation analysis explored relationships between multidimensional indicators, and multivariate logistic regression identified factors influencing hospital grade B++ and above.Results:In terms of department scale, Jiangsu had a larger emergency department area (4 853 m 2vs. 1 927 m 2, P<0.001), more beds of comprehensive inpatient wards in the emergency department (25.5 beds vs. 5.5 beds, P=0.011), and higher scores for the ratio of emergency department area to beds (4.8 vs. 3.4, P=0.005) than Zhejiang. In terms of staffing, Jiangsu had a higher proportion of doctors with master's degrees or above (13.8% vs. 0.0%, P<0.001), a higher proportion of frontline emergency medical staff with over three years of clinical experience (100.0% vs. 91.5%, P=0.001), and more doctors (19 vs. 15, P=0.039) and nurses (46 vs. 32, P=0.039). In terms of quality and safety and medical service capacity, Zhejiang had a higher severe trauma resuscitation success rate (92.9% vs. 83.75%, P=0.003), annual emergency surgery volume (1 002 vs. 428, P=0.015), and number of emergency surgery procedures (125 vs. 42, P=0.027), but Jiangsu had a shorter emergency room stay time (87.5 min vs. 136.2 min, P=0.029). In terms of informatization, Zhejiang outperformed Jiangsu in all indicators, especially in patient information interconnection and sharing (100.0% vs. 82.4%, P=0.030) and in-hospital diagnosis and treatment timeline (91.7% vs. 73.5%, P=0.043). Correlation analysis showed that the total specialty scale score was significantly positively correlated with the in-hospital emergency rescue service capacity score ( r=0.576) and the staffing score ( r=0.455). The total evaluation score was significantly positively correlated with the informatization total score ( r=0.397) and the pre-hospital emergency rescue service capacity score ( r=0.322). Binary Logistic regression analysis showed that the emergency rescue service capacity score was significantly positively correlated with hospital grade ( B=1.431, P=0.03, OR=4.185, 95% CI:1.152-15.205). For every 1-unit increase in the emergency department area ( B=0.002, P=0.05), the probability of a hospital being upgraded to B++ or above increased by 0.2% ( OR=1.002, 95% CI:1.000-1.004). Conclusions:Both provinces exhibit distinct advantages in emergency department development. Departmental scale and configuration significantly impact emergency service capabilities, while staffing and quality management constitute core elements for improvement. Informatization construction notably enhances emergency service efficiency and quality.

In 2009,the World Health Organization included snakebite on the list of neglected tropical diseases,acknowledging it as a common occupational hazard for farmers,plantation workers,and others,causing tens of thousands of deaths and chronic physical disabilities every year.This guideline aims to provide practical information to help clinical professionals evaluate and treat snakebite victims.These recommendations are based on clinical experience and clinical research evidence.This guideline focuses on the following topics:snake venom,clinical manifestations,auxiliary examination,diagnosis,treatments,and prevention.

Objective To evaluate the analgesic effect of lidocaine gel cervical anaesthesia and tramadol uterine cavity injection anaesthesia in patients undergoing hysterosalpingography(HSG)and fallopian tube dredging.Methods A total of 109 infertile patients,who were admitted to the Affiliated Beijing Friendship Hospital of Capital Medical University of China between December 2021 and December 2022,were enrolled in this study.The patients were divided into anesthesia group and non-anesthesia group.For the patients of the anesthesia group,lidocaine gel cervical anaesthesia and tramadol uterine cavity injection anaesthesia were separately performed for HSG and fallopian tube dredging;while for the patients of the non-anesthesia group,no any anesthetic measure was given during the operation.The intraoperative,postoperative 0.5-hour and 24-hour visual analog scale(VAS)scores were analyzed.Results The intraoperative VAS score in the anesthesia group was lower than that in the non-anesthesia group,and the difference was statistically significant(P＜0.01).All patients of the anesthesia group could well tolerate and complete HSG and fallopian tube dredging procedure.Conclusion After the use of lidocaine gel cervical anaesthesia and tramadol uterine cavity injection anaesthesia,the patients have only mild pain during HSG and fallopian tube dredging procedure,the procedure becomes well tolerated,and the incidence of adverse reactions is also very low.(J Intervent Radiol,2024,33:651-666)

Objective:To establish a method for rapid detection of OXA and par C resistance genes of Acinetobacter baumannii(Ab)by double nucleic acid colloidal gold strip and to develop kit.Methods:DNA of Ab was extracted by heating and boiling method.OXA and par C genes sequences of Ab were selected as target gene fragments based on NCBI.Primers were designed and labeled with 6-FAM,digoxin and biotin,respectively.Drug resistance gene detection reagents were developed,and nucleic acid gold test strips were used for rapid and visual detection.Molecular cloning and sequencing techniques were used to clone positive control samples and evaluate specificity,sensitivity and stability of kit.Results:DNA concentration and purity of Ab extracted by boiling method were good.Homology between cloned and sequenced plasmid DNA and gene sequence in GenBank database was 100%,respectively.Speci-ficity of kit was good,with only Ab showing positive results and other bacterial genera showing negative results;DNA concentration of Ab in double nucleic acid colloidal gold test strip decreased to 10-3 ng/μl,a red line still appeared,whose sensitivity was 10 times higher consistent with minimum detection limit of electrophoresis 10-2 ng/μl;test kits were tested at 3rd,6th and 9th months,and showed good stability.Conclusion:Double resistance detection kit established in this study can simultaneously detect OXA and par C resis-tance of Ab,who has advantages of high sensitivity,strong specificity,rapid and simple,and provides a new method for detection of carbapenem and quinolone antibiotic resistance of Ab.

Objective:To examine the structural network changes in participants with amnestic mild cognitive impairment(aMCI)and investigate the correlation between these changes and the onset of Alzheimer's disease(AD).Methods:In this prospective study, a total of 100 individuals with amnestic mild cognitive impairment(aMCI)were enrolled as the research group.Additionally, 25 healthy individuals who were matched in terms of age and sex were enrolled as healthy controls.Upon enrollment, all participants underwent MRI scans, neuropsychological assessments, and clinical evaluations.The participants were then followed every 6 months for a period of 36 months or until they withdrew from the study.Based on the outcome of the follow-up(whether Alzheimer's disease occurred), the aMCI participants were divided into two groups: stable aMCI group and progressive aMCI group.The Chinese version of the Brief Mental State Examination(MMSE), the Montreal Cognitive Assessment(MoCA), the Clinical Dementia Rating Scale(CDR), and the Auditory Word Learning Test(AVLT)were utilized to evaluate the overall mental and cognitive status of the subjects.Pearson correlation analysis was employed to investigate the relationship between structural network changes and cognitive decline.Logistic regression was performed to analyze the predictive ability of structural network changes in determining the onset of AD.Results:Compared to the stable aMCI group, the progressive aMCI group exhibited lower levels of global efficiency( P=0.002), local efficiency( P=0.007), feeder connections( P=0.003), local connections( P=0.008), and right precuneus nodal efficiency( P=0.010).Correlation analysis revealed that global efficiency( r=0.604, P=0.002), feeder connections( r=0.513, P=0.012), and right precuneus nodal efficiency( r=0.504, P=0.014)were correlated with AVLT-delay scores(baseline)in the progressive aMCI group.A logistic regression model demonstrated that global efficiency, feeder connections, and right precuneus nodal efficiency could significantly predict the onset of AD(all P<0.05, AUCunited=0.797, 95% CI: 0.684-0.884, sensitivity=73.91, 95% CI: 51.6-89.8, specificity=76.60, 95% CI: 62.0-87.7). Conclusions:Among participants with aMCI, individuals who exhibit lower global efficiency, feeder connections, or right precuneus nodal efficiency are at a higher risk of developing AD.These indicators are anticipated to serve as new targets for clinical intervention.

Objective:To explore the association between changes in brain structural network during the early stage of stroke recovery and the onset of post-stroke depression (PSD).Methods:A total of 87 acute ischemic stroke patients scheduled for discharge, who were admitted to the Yixing Hospital Affiliated to Jiangsu University from March 2020 to May 2021, were prospectively collected. During the same period, 34 healthy control subjects matched with the stroke patients were also collected. All participants underwent systematic magnetic resonance imaging scans and scale assessments, and were followed up longitudinally for 2 years. Based on the occurrence of depression during follow-up, the stroke patients were divided into PSD group and post-stroke non-depression (PSND) group. Graph theoretical analysis was used to analyze the topological characteristics of brain structural network. Analysis of variance was used to explore the differences in brain structural network attributes among groups. Logistic regression model was used to analyze the predictive power of differential brain network attributes for PSD. Linear regression analysis was conducted to investigate the relationship between the synergism of non-rich-club regions and changes in rich-club connectivity.Results:The rich-club connectivity and synergism of the non-rich-club regions were significantly lower in the PSD group than in the PSND group (rich-club connectivity, P<0.01; synergism of feeder/local, P<0.001). The regression model demonstrated that the synergism of non-rich-club regions had a good predictive power for the occurrence of PSD ( OR=1.195, 95%CI 1.073-1.471, P<0.001). Furthermore, linear regression analysis revealed a significant correlation between the synergism of non-rich-club regions and Δrich-club connectivity ( r=-0.691, P<0.001). Conclusion:The good synergism of non-rich-club regions during the early stage of stroke recovery promotes the repair of rich-club connectivity and inhibits the onset of PSD.

Objective:To investigate the features of the brain structural network in patients with postpartum depression (PPD).Methods:This cross-sectional study included PPD patients who visited the mental health counseling clinic after delivery at the Jiangsu University Affiliated Yixing Hospital from June 2013 to September 2022 (PPD group). Matched non-PPD postpartum women based on age, years of education, and body mass index who came for postpartum follow-up (non-PPD postpartum group), and non-pregnant women who visited the hospital or underwent physical examinations during the same period (non-pregnant group) were also included. Demographic data and diffusion tensor imaging (DTI) data were collected for all three groups. The brain was partitioned into 90 regions using an anatomical template to construct the brain structural network. Network-based statistics (NBS) were applied to further screen and construct subnetworks. The efficacy of the subnetworks in identifying PPD was evaluated through multivariable logistics regression models and receiver operating characteristic curves. A comparison of the connectivity strength of white matter tracts and topological attributes of brain structural network parameters was conducted using independent samples t-tests, and the results were corrected using the false discovery rate (FDR) method. Results:(1) A total of 116 subjects were included, with 40 in the non-pregnant group, 40 in the non-PPD postpartum group, and 36 in the PPD group. PPD group had higher Edinburgh Postnatal Depression Scale (EPDS) scores than the non-pregnant and non-PPD postpartum groups [(18.0±4.1) scores vs. (2.5±1.2) and (6.1±2.1) scores, F=340.40; t=24.65,10.60 and 16.16 in pairwise comparison; all P<0.001]. (2) Compared to the non-pregnant group, there was a decrease in the connectivity strength of nine white matter tracts within the brain structural network of the postpartum group (including left dorsolateral superior frontal gyrus-left anterior cingulate and paracingulate gyrus, left dorsolateral superior frontal gyrus-right amygdala, left dorsolateral superior frontal gyrus-left insula, left insula-left lentiform nucleus, left insula-left hippocampus, left hippocampus-right amygdala, left hippocampus-left precuneus, left anterior cingulate and paracingulate gyrus-right amygdala, and right amygdala-right hippocampus) (all P<0.05, FDR corrected). No increased connection strengths were observed. There were no significant differences in the connection strengths of these nine tracts between the non-PPD and PPD groups. (3) A characteristic subnetwork for the maternal group was successfully constructed based on the nine tracts, which exhibited typical small-world properties (σ>1). Compared to the non-PPD maternal group, the characteristic path length in the PPD group was increased [(3.904±0.328) vs. (4.130±0.433), t=－2.58], and global efficiency was decreased [(0.361±0.036) vs. (0.331±0.053), t=2.91] (both P<0.05). Local property comparisons showed that the node efficiency values for the left dorsolateral superior frontal gyrus, left insula, left anterior cingulate and paracingulate gyrus, left hippocampus, right hippocampus, right amygdala, left precuneus and left putamen in the PPD group were significantly reduced [(0.273±0.023) vs. (0.267±0.030), t=0.98; (0.299±0.035) vs. (0.276±0.041), t=2.64; (0.265±0.019) vs. (0.258±0.025), t=1.38; (0.318±0.028) vs. (0.305±0.031), t=1.92; (0.312±0.027) vs. (0.302±0.031), t=1.50; (0.322±0.030) vs. (0.298±0.026), t=3.71; (0.356±0.040) vs. (0.338±0.056), t=1.62; (0.346±0.028) vs. (0.331±0.036), t=1.74; all P<0.05]. However, only the differences in node efficiency values for the left insula and right amygdala remained significant after FDR correction (corrected P=0.041 and 0.003). (4) Global efficiency, as well as node efficiency for the left insula and right amygdala, demonstrated good value for identifying PPD [areas under the curve (AUC) and their 95% CI were 0.827 (0.732-0.922), 0.741 (0.628-0.854), and 0.761 (0.653-0.867), respectively], with even better performance when combined [0.897 (0.828-0.969)]. (5) In the PPD group, global efficiency ( r=－0.43, P=0.008), node efficiency for the left insula ( r=－0.39, P=0.019), and node efficiency for the right amygdala ( r=－0.42, P=0.011) were all negatively correlated with EPDS scores. Conclusion:Aberrations in global efficiency, node efficiency for the left insula, and node efficiency for the right amygdala may serve as characteristic neuroimaging biomarkers for PPD.

Objective To establish the fingerprint map and method of multi-component content determination of ginger and its processed products,and to evaluate their quality. Methods High performance liquid chromatography (HPLC) was used to establish the fingerprint of ginger and its processed products (dried ginger,baked ginger,ginger charcoal) and the method for the simultaneous determination of content of five components. The data were analyzed by similarity evaluation and chemical pattern recognition. Results The fingerprint of ginger and its processed products was established. The similarity was ranged from 0.931 to 0.996. A total of 15 common peaks were confirmed. Five components (6-ginger phenol,8-ginger phenol,10-ginger phenol,6-ginger enol,zingiberone) were identified when compared with the standard. The content of 6-ginger phenol,8-ginger phenol and 10-ginger phenol in ginger and its processed products(dried ginger,baked ginger,ginger charcoal),which were determined by HPLC,met the standard of Chinese Pharmacopoeia(2020 edition). The content of 6-ginger enol and zingiberone in fresh ginger was very low,but their content increased significantly after processing into dried ginger and baked ginger. Ginger and its processed products can be divided into different category in cluster analysis. Five components with VIP greater than one were selected by orthogonal partial least squares discriminant analysis. Conclusion The HPLC fingerprint and assay method established in this study are specific,simple and feasible,stable and reliable. With the help of chemical pattern recognition method,it can provide reference for the quality evaluation of ginger and its processed products.

ObjectiveTo understand the current situation and hot spots of research on the treatment of constipation by traditional Chinese medicine （TCM） in China and foreign countries， and provide references and directions for future research. MethodIn this study， the data analysis software CiteSpace 5.8.R3C was used to conduct bibliometrics analysis of the relevant papers on the treatment of constipation by TCM from January 1， 2000 to December 31， 2021 in China National Knowledge Infrastructure （CNKI） and Web of Science core database. The visual display was carried out. ResultAfter retrieval， 2 133 papers were included in CNKI database and 224 papers were included in Web of Science core database. The statistical analysis showed that the overall annual publication volume in China and foreign countries was on the rise， but the publication volume in China had been declining for the past two consecutive years. The author co-occurrence analysis showed that the authors with the largest number of publications in China and foreign countries were LIU Chunqiang and CHUNGWAH CHENG， respectively. The institution co-occurrence analysis showed that the institutions with the largest number of publications in China and foreign countries were the Anorectal Department of Longhua Hospital Affiliated to Shanghai University of TCM and Beijing University of Chinese Medicine， respectively. The keyword analysis showed that research in this field in China and foreign countries mainly focused on TCM therapy， clinical research， etiology and pathogenesis， etc. ConclusionThe research on the treatment of constipation by TCM is mainly concentrated in China， but there is no closely-related scientific research team. The research in this field in China and foreign countries is still developing. With the continuous deepening of research， all research institutions should pay attention to interdisciplinary intersection， highlight technological innovation， and strive to achieve greater breakthroughs in this field.

Background Arsenic is a toxicant that can affect the expressions of the cellular anti-apoptotic gene BCL-2 and its protein, but the effects of arsenic on BCL-2α and BCL-2\begin{document}$\beta $\end{document} transcripts have not been reported. Objective To investigate the potential effects of arsenic and its metabolites, methylarsonic acid (MMA) and dimethylarsonic acid (DMA), on BCL-2α, BCL-2\begin{document}$\beta $\end{document}, and BCL-2T (total of α and \begin{document}$\beta $\end{document} transcripts) in human bronchial epithelial cells (16HBE) and human lung adenocarcinoma cells (A549). Methods 16HBE cells and A549 cells were randomly divided into three categories of exposure after in vitro culture: single-selected arsenic compound exposure groups with isoconcentration (16HBE cells were treated with 4.5 μmol·L⁻¹ of MMA, DMA, and sodium arsenite, respectively, while A549 cells were treated with 60 μmol·L⁻¹ of MMA, DMA, and sodium arsenite, respectively), sodium arsenite exposure groups with different concentrations (16HBE cells were treated with 1.5, 3.0, and 4.5 μmol·L⁻¹ of sodium arsenite respectively, while A549 cells were treated with 20, 40, and 60 μmol·L⁻¹ of sodium arsenite respectively), and combined exposure groups (i.e. MMA+sodium arsenite, and DMA+sodium arsenite; the exposure concentrations of 16HBE cells were both 1.5 μmol·L⁻¹ and both 4.5 μmol·L⁻¹ respectively, and those of A549 cells were both 20 μmol·L⁻¹ and both 60 μmol·L⁻¹ respectively). Meanwhile, a blank control group was also set up in each exposure category. After 48 h of continuous exposure, the relative expressions of BCL-2α, BCL-2\begin{document}$\beta $\end{document}, and BCL-2T in both cells were detected by real-time PCR. Results Regarding the single-selected arsenic compound exposure, in 16HBE cells, the expression levels of BCL-2α and BCL-2T under 4.5 μmol·L⁻¹ MMA treatment were lower than those in their control groups (q=3.27, 2.93, both P<0.05), and the expression levels of BCL-2α, BCL-2\begin{document}$\beta $\end{document}, and BCL-2T under 4.5 μmol·L⁻¹ sodium arsenite were lower than those in their respective control groups (q=11.06, 3.65, 10.70, all P<0.05). In A549 cells, the expression level of BCL-2T treated with 60 μmol·L⁻¹ DMA was lower than that in the control group (q=3.12, P<0.05), and the expression levels of BCL-2α, BCL-2\begin{document}$\beta $\end{document}, and BCL-2T treated with 60 μmol·L⁻¹ sodium arsenite were lower than those in their respective control groups (q=7.59, 7.27, 8.06, all P<0.05). Regarding the sodium arsenite exposure: 16HBE cells treated with 1.5 μmol·L⁻¹ sodium arsenite had a lower expression level of BCL-2α and a higher expression level of BCL-2\begin{document}$\beta $\end{document} than those in their respective control groups (q=6.06, 11.92, both P<0.05); the expression level of BCL-2α under 3.0 μmol·L⁻¹ sodium arsenite was lower than that in the control group (q=12.72, P<0.05); and under 4.5 μmol·L⁻¹ sodium arsenite treatment, the expression levels of BCL-2α, BCL-2\begin{document}$\beta $\end{document}, and BCL-2T were lower than those in their respective control groups (q=15.72, 6.79, 6.62, all P<0.05). The expression levels of BCL-2α gradually decreased with increasing concentrations of sodium arsenite (F_{α trend}=144.80, P<0.001), while BCL-2\begin{document}$\beta $\end{document} and BCL-2T decreased in a dose-dependent manner in the range of 1.5-4.5 μmol·L⁻¹ (F\begin{document}${}_{\beta } $\end{document} _trend=135.40, F_{T trend}=38.24, both P<0.001). In A549 cells, the expression levels of BCL-2α, BCL-2\begin{document}$\beta $\end{document}, and BCL-2T under each concentration of sodium arsenite treatments were lower than those in their respective control groups (all P<0.05); the results of further trend tests showed that their expression levels gradually decreased with increasing concentrations of sodium arsenite (F_{α trend} =31.97, F\begin{document}${}_{\beta} $\end{document} _trend=549.50, F_{T trend}=252.40, all P<0.001). Regarding the combined exposure, under MMA+sodium arsenite treatment at both 60 μmol·L⁻¹, the expression levels of BCL-2α, BCL-2\begin{document}$\beta $\end{document}, and BCL-2T in A549 cells were higher than those in their respective control groups (q=6.37, 14.91, 5.33, all P<0.05); under DMA+sodium arsenite treatment at both 60 μmol·L⁻¹, their expression levels in A549 cells were also higher than those in their respective control group (q=8.60, 17.29, 6.91, all P<0.05). Conclusion Exposure to a high concentration (16HBE: 4.5 μmol·L⁻¹, A549: 60 μmol·L⁻¹) of a single arsenic metabolite has no effect on BCL-2 transcripts in 16HBE cells and A549 cells. Exposure to a low concentration (1.5 μmol·L⁻¹) of sodium arsenite alone would decrease the expression level of BCL-2α and increase the expression level of BCL-2\begin{document}$\beta $\end{document} in 16HBE cells, and exposure to all designed concentrations of sodium arsenite alone would decrease the expressions of all transcripts in A549 cells. The combined exposure to high concentrations (both 60 μmol·L⁻¹) of MMA plus sodium arsenite or high concentrations (both 60 μmol·L⁻¹) of DMA plus sodium arsenite would increase the expressions of BCL-2α, BCL-2\begin{document}$\beta $\end{document}, and BCL-2T in A549 cells, which are different from the effects presented by single exposure.