Objective To explore the risk factors for bleeding at the puncture site after femoral artery puncture intervention.Methods A computerized retrieval of observation studies,including cross-sectional studies,case-control studies,and cohort studies,about the risk factors for bleeding at the puncture site after femoral artery puncture intervention from the databases of China National Knowledge Infrastructure(CNKI),Wanfang,VIP,China Biomedical Literature Service(CBM),PubMed,Medline,The Cochrane Library,EMbase and Web of Science was conducted.The retrieval time period was from the establishment of the database to December 31,2022.Newcastle-Ottawa scale(NOS)was used to evaluate the quality of the included studies,and RevMan5.3 software was used to make meta-analysis of the literature data.Results A total of 8 articles with a total sample size of 35 250 patients were included in this analysis.There were 1 410 patients in the postoperative bleeding group and 33 840 patients in the non-bleeding group.The results of the meta-analysis showed that the aged(OR=2.71,95％ CI=2.17-3.38),female(OR=4.26,95％ CI=1.08-16.89),hypertension(OR=2.48,95％CI=1.69-3.63),obesity(OR=2.33,95％ CI=1.59-3.42),use of thrombolytic agents,anticoagulants or platelet antagonists(OR=2.95,95％ CI=2.24-3.89),manual compression(OR=6.78,95％ CI=1.34-34.43)were the risk factors for the bleeding at the puncture site after femoral artery puncture intervention.Conclusion The aged,female,hypertension,obesity,use of thrombolytic agents,anticoagulants or platelet antagonists,and manual compression are the risk factors for the bleeding at the puncture site after femoral artery puncture intervention.(J Intervent Radiol,2024,33:314-320)

OBJECTIVE To evaluate the pharmacodynamics of Wujiashen Gejiejing on rats with deficiency of lung qi. METHODS The rat model of deficiency of lung qi was established by sawdust fumigation. By comparing the general activity state, blood acid-alkali indexes, biochemical indexes related to chronic bronchitis and airway histological characteristics of rats in each group, the pharmacodynamics of Wujiashen Gejiejing on rats with deficiency of lung qi was evaluated. RESULTS Compared with model group, after the Wujiashen Gejiejing intervention, the body weight of the rats significantly increased; the levels of p(O2) and SaO2 in blood were significantly increased(P<0.001), p(CO2) was significantly decreased(P<0.05), and pH had a tendency to increase; the levels of endothelin(ET) and IL-1β in serum were significantly decreased(P<0.01 or P<0.05), and the levels of TNF-α in serum had a decreasing trend. The damaged lung structures were significantly improved. CONCLUSION Wujiashen Gejiejing can significantly improve the activity state and improve hypoxemia and hypercapnia of lung qi deficiency syndrome, improve the damaged lung structure and the function of lung ventilation, and has obvious anti-inflammatory effect. Its mechanism may be related to regulating the expression of inflammatory cytokines IL-1β, TNF-α and ET.

Objective To explore the effect of multi-sensory artificial intelligence feedback gait training on the recovery of walking function in stroke patients based on enriched environment theory. Methods From July,2021 to June,2023,a total of 80 stroke patients in Huashan Hospital Affiliated to Fudan University were randomly divided into control group(n=40)and experimental group(n=40).Both groups received rou-tine rehabilitation in the lying and seated positions,for 40 minutes.The control group received ground walking training,for 20 minutes,while the experimental group received multi-sensory feedback gait training in enriched environment,for 20 minutes.Before and after four weeks intervention,the digital motion monitoring treadmill was used to mearsure step speed,step length,hip and knee swing angle and weight symmetry.They were as-sessed with Berg Balance scale(BBS),Fugl-Meyer Assessment-Lower Extremities(FMA-LE)and Barthel Index(BI). Results After intervention,the hip swing angle,step length of both sides and step speed significantly improved in both groups(|t|＞3.162,P＜0.05),and they were better in the experimental group than in the control group(|t|＞2.568,P＜0.05);the average knee joint swing angle and bilateral weight-bearing symmetry significantly im-proved in the experimental group(|t|＞3.249,P＜0.01);the scores of BBS,FMA-LE and BI improved in both groups(|t|＞3.569,P＜0.01),and they were better in the experimental group than in the control group(|t|＞2.922,P＜0.05). Conclusion Multi-sensory feedback gait training based on enriched environment theory could effectively improve the walking and balance of stroke patients,and increase the ability of independence.

Purpose To investigate the value of a radiomics model based on dynamic contrast-enhanced magnetic resonance imaging(DCE-MRI)in the differential diagnosis of granulomatous mastitis and breast cancer.Materials and Methods The MRI data of 82 patients with granulomatous mastitis or breast cancer confirmed by pathology in Xiyuan Hospital of China Academy of Chinese Medical Sciences from February 2019 to January 2022 were retrospectively collected.Based on the first phase of DCE-MRI,the regions of interest(ROI)were delineated layer by layer by semi-automatic segmentation method and manual segmentation method,respectively.99 ROI were randomly assigned to 69 in training groups and 30 in test groups.The consistency difference between the two methods was compared.The original data extracted by the semi-automatic segmentation method were screened by correlation analysis and multi-factor Logistic regression.Six kinds of classifiers(Logistic regression,support vector machine,naive Bayes,decision tree,random forest,K nearest neighbor)were used to construct prediction models,and the differences in diagnostic efficiency,accuracy,sensitivity and specificity of each model were evaluated.Results A total of 99 lesions(n=37 cases with granulomatous mastitis and n=62 cases with breast cancer)were segmented from 82 patients.The radiomics data extracted by the two ROI segmentation methods had poor consistency between groups[Intraclass correlation coefficient=0.68(0.51,0.78)].Among the six prediction models constructed from the data extracted by the semi-automatic segmentation method,the diagnostic performance of the Logistic regression model and the support vector machine model was significantly better than those of other models,and the Logistic regression model had the best diagnostic performance and stability(training group:area under the curve 0.928,accuracy rate 0.855,sensitivity 0.837,specificity 0.885;test group:area under the curve 0.933,accuracy 0.833,sensitivity 0.895,specificity 0.727,respectively).Conclusion Radiomics based on DCE-MRI can provide high value for the differential diagnosis of granulomatous mastitis and breast cancer.The semi-automatic segmentation method is more recommended for the segmentation method of ROI.The prediction model constructed by Logistic regression and support vector machine shows better diagnostic efficiency and stability.

Objective: To explore the relationship of sleep quality and emotional regulation difficulties in middle school students, and to analyze its mediating role of daytime dysfunction, social rejection and selfcontrol ability, so as to provide a scientific reference for improving middle school students mental health. Methods: From October to November, 2023, the Pittsburgh Sleep Quality Index, Adolescent Social Rejection Questionnaire, Brief Selfcontrol Scale and Difficulties in Emotion Regulation Scaleshort Form (DERS-16) were used to assess 806 students recruited from four middle schools in Bengbu City by a convenient cluster random sampling method. And model-6 of PROCESS and 5 000 Bootstraps were used to make a chainmediating model analysis. Results: Daytime dysfunction was positively correlated with sleep quality(r=0.57), social rejection(r=0.19), selfcontrol(r=0.29, P＜0.01). Selfcontrol was positively correlated with emotional regulation difficulties(r=0.54, P<0.01).Poor sleep quality showed a significant positive association with on daytime dysfunction, and daytime dysfunction further affected social rejection, selfcontrol ability and emotional regulation difficulties (β=0.86, 0.60, 1.27, 1.56, P<0.05). Meanwhile, daytime dysfunction, social rejection and selfcontrol played a serial mediating role in the relationship between sleep quality and emotional regulation difficulties (Estimate=0.11,95%CI=0.04-0.20,P<0.05). Conclusion The study reveals the complex relationship between sleep quality and emotional regulation difficulties in middle school students and provides a new theoretical basis for adolescent sleep improvement and mental health interventions.

By conducting retrospective analysis, this study aim to investigate the resistance mechanism of quinolones in non-typhoidal Salmonella (NTS). A total of 105 strains of NTS isolated from clinical specimens from the Fifth Affiliated Hospital of Southern Medical University from May 2020 to February 2021 were used as research objects. VITEK2 Compact automatic identification drug sensitivity analysis system and serological test were used to identify the strains. The sensitivity of the strains to ciprofloxacin, levofloxacin and nalidixic acid was detected by AGAR dilution method. The whole genome of 105 strains of NTS was sequenced. Abricate and other softwares were used to analyze drug-resistant genes, including plasmid-mediated quinolone resistance gene (PMQR) and Quinolone resistance determination region (QRDR). Serotypes and ST types were analyzed using SISTR and MLST, and phylogenetic trees were constructed. The results showed that the NTS isolated in this region were mainly ST34 Salmonella typhimurium (53.3%). The drug sensitivity results showed that the drug resistance rates of NTS to ciprofloxacin, levofloxacin and nalidixic acid were 30.4%, 1.9% and 22.0%, respectively, and the intermediate rates of ciprofloxacin and levofloxacin were 27.6% and 54.2%.A total of 46 (74.2%) of the 62 quinolone non-susceptible strains carried the PMQR gene, mainly qnrS1 (80.4%), followed by aac(6′)-Ib-cr(15.2%); there were 14 NTS and 8 NTS had gyrA and parC gene mutations, respectively. The gyrA was mutations at the amino acid position 87, Asp87Tyr, Asp87Asn, Asp87Gly, and Thr57Ser mutations were detected in parC. In conclusion, this study found that NTS had relatively high resistance to quinolones, carrying qnrS1 gene mainly resulted in decreased sensitivity of NTS to ciprofloxacin and levofloxacin, and gyrA:87 mutation mainly resulted in NTS resistance to Nalidixic acid; Salmonella typhimurium in clinical isolates showed clonal transmission and required further epidemiological surveillance.

Objective:To investigate the effectiveness of preeclampsia risk prediction models based on maternal risk factors during the first trimester in a local population.Methods:This was a diagnostic study. Pregnant women who underwent prenatal examination in People′s Hospital of Rizhao from May 2019 to May 2022 and had risk factors for preeclampsia were enrolled at 11-13 +6 weeks gestation, and were divided into preterm preeclampsia group, term preeclampsia group and non-preeclampsia group according to the occurrence and the gestational week. Baseline clinical data were collected. The effectiveness of different models in predicting preeclampsia risk was evaluated using receiver operating characteristic (ROC) curves. Results:Among the 559 pregnant women enrolled, 78(14.0%) had preeclampsia, including 35(6.3%) with preterm preeclampsia (preterm preeclampsia group), 43 (7.7%) with term preeclampsia (term preeclampsia group), and 481 (86.0%) without preeclampsia (non-preeclampsia group).The most effective model for predicting preterm preeclampsia in the first trimester was maternal risk factor+mean arterial pressure (MAP)+serum placental growth factor (PLGF)+uterine artery pulse index (UTPI). The area under ROC curve was 0.805, and the sensitivity was 56.6% with a false-positive rate of 10%; the most effective model for predicting term preeclampsia and preeclampsia was maternal risk factor+MAP+UTPI. The area under ROC curve was 0.777, and the sensitivity was 52.6% and 53.5% with a false-positive rate of 10%.Conclusion:The combined predicting strategy for preterm preeclampsia based on maternal risk factors in the first trimester maybe effective among our population.

By conducting retrospective analysis, this study aim to investigate the resistance mechanism of quinolones in non-typhoidal Salmonella (NTS). A total of 105 strains of NTS isolated from clinical specimens from the Fifth Affiliated Hospital of Southern Medical University from May 2020 to February 2021 were used as research objects. VITEK2 Compact automatic identification drug sensitivity analysis system and serological test were used to identify the strains. The sensitivity of the strains to ciprofloxacin, levofloxacin and nalidixic acid was detected by AGAR dilution method. The whole genome of 105 strains of NTS was sequenced. Abricate and other softwares were used to analyze drug-resistant genes, including plasmid-mediated quinolone resistance gene (PMQR) and Quinolone resistance determination region (QRDR). Serotypes and ST types were analyzed using SISTR and MLST, and phylogenetic trees were constructed. The results showed that the NTS isolated in this region were mainly ST34 Salmonella typhimurium (53.3%). The drug sensitivity results showed that the drug resistance rates of NTS to ciprofloxacin, levofloxacin and nalidixic acid were 30.4%, 1.9% and 22.0%, respectively, and the intermediate rates of ciprofloxacin and levofloxacin were 27.6% and 54.2%.A total of 46 (74.2%) of the 62 quinolone non-susceptible strains carried the PMQR gene, mainly qnrS1 (80.4%), followed by aac(6′)-Ib-cr(15.2%); there were 14 NTS and 8 NTS had gyrA and parC gene mutations, respectively. The gyrA was mutations at the amino acid position 87, Asp87Tyr, Asp87Asn, Asp87Gly, and Thr57Ser mutations were detected in parC. In conclusion, this study found that NTS had relatively high resistance to quinolones, carrying qnrS1 gene mainly resulted in decreased sensitivity of NTS to ciprofloxacin and levofloxacin, and gyrA:87 mutation mainly resulted in NTS resistance to Nalidixic acid; Salmonella typhimurium in clinical isolates showed clonal transmission and required further epidemiological surveillance.

Objective:The incidence of infections in patients with malignant hematologic diseases is extremely high and significantly affects their prognosis.Identifying early and precise biomarkers for infection is crucial for guiding the treatment of infections in these patients.Previous studies have shown that procalcitonin(PCT)can serve as an early diagnostic marker for bloodstream infections in patients with malignant hematologic diseases.This study aims to compare serum PCT levels in these patients with different pathogens,disease types,infection sites,and severity levels. Methods:Clinical data and laboratory results of infected patients with malignant hematologic diseases treated at the Department of Hematology,the Third Xiangya Hospital of Central South University from January 2018 to August 2023 were collected.General patient information was retrospectively analyzed.Serum PCT levels were compared among patients with different pathogens,types of malignant hematologic diseases,infection sites,and infection severity;Receiver operator characteristic(ROC)curves were used to determine the cut-off values and diagnostic value of serum PCT levels in diagnosing bloodstream infections versus local infections and severe infections versus non-severe infections.Mortality rates after 4-7 days of anti-infective treatment were compared among groups with rising,falling,and unchanged PCT levels. Results:A total of 526 patients with malignant hematologic diseases were included.The main pathogens were Gram-negative bacteria(272 cases,51.7%),followed by Gram-positive bacteria(120 cases,22.8%),fungi(65 cases,12.4%),viruses(23 cases,4.4%),and mixed pathogens(46 cases,8.7%).The main types of malignant hematologic diseases were acute myeloid leukemia(216 cases,41.1%),acute lymphoblastic leukemia(107 cases,20.3%),and lymphoma(93 cases,17.7%).Granulocyte deficiency was present in 68.3%(359 cases)of the patients during infection,with severe infection in 24.1%(127 cases).Significant differences in serum PCT levels were found among patients with different types of pathogens(P<0.001),with the highest levels in Gram-negative bacterial infections.Significant differences in serum PCT levels were also found among patients with different types of malignant hematologic diseases(P<0.05),with the highest levels in lymphoma patients.Serum PCT levels were significantly higher in systemic infections and severe infections compared to local infections and non-severe infections(both P<0.001).ROC curve analysis showed that the cut-off values for diagnosing bloodstream infections and severe infections were 0.22 and 0.28 ng/mL,with areas under the curve of 0.670 and 0.673,respectively.After 4-7 days of anti-infective treatment,the mortality rates of the PCT declining,PCT unchanged,and PCT rising groups were 11.9%,21.2%,and 35.7%,respectively,and pairwise comparisons were statistically significant(all P<0.05). Conclusion:PCT can be used as an auxiliary indicator for early identification of different pathogens,infection sites,and severity levels in patients with malignant hematologic diseases combined with infections.Dynamic monitoring of PCT levels after empirical antibiotic treatment provides important guidance for assessing patient's prognosis.

The comprehensive detection and identification of active ingredients in complex matrices is a crucial challenge.Liquid chromatography coupled with high-resolution mass spectrometry(LC-HRMS)is the most prominent analytical platform for the exploration of novel active compounds from complex matrices.However,the LC-HRMS-based analysis workflow suffers from several bottleneck issues,such as trace content of target compounds,limited acquisition for fragment information,and uncertainty in interpreting relevant MS2 spectra.Lycibarbarspermidines are vital antioxidant active ingredients in Lycii Fructus,while the reported structures are merely focused on dicaffeoylspermidines due to their low content.To comprehensively detect the new structures of lycibarbarspermidine derivatives,a"depict"strategy was developed in this study.First,potential new lycibarbarspermidine derivatives were designed according to the biosynthetic pathway,and a comprehensive database was established,which enlarged the coverage of lycibarbarspermidine derivatives.Second,the polarity-oriented sample prep-aration of potential new compounds increased the concentration of the target compounds.Third,the construction of the molecular network based on the fragmentation pathway of lycibarbarspermidine derivatives broadened the comprehensiveness of identification.Finally,the weak response signals were captured by data-dependent scanning(DDA)followed by parallel reaction monitoring(PRM),and the efficiency of acquiring MS2 fragment ions of target compounds was significantly improved.Based on the integrated strategy above,210 lycibarbarspermidine derivatives were detected and identified from Lycii Fructus,and in particular,170 potential new compounds were structurally characterized.The integrated strategy improved the sensitivity of detection and the coverage of low-response components,and it is expected to be a promising pipeline for discovering new compounds.