ObjectiveTo establish a new noninvasive， simple， and convenient clinical predictive model by identifying independent predictive factors for rebleeding after endoscopic therapy in cirrhotic patients with esophagogastric variceal bleeding （EGVB）， and to provide a basis for individualized risk assessment and development of clinical intervention strategies. MethodsCirrhotic patients with EGVB who were diagnosed and treated in The First Affiliated Hospital of Xi’an Medical University from September 2018 to October 2023 were enrolled as subjects， and according to whether the patient experienced rebleeding within 1 year after endoscopic therapy， they were divided into rebleeding group with 93 patients and non-rebleeding group with 84 patients. Clinical data were collected and analyzed. The independent samples t-test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical data between two groups. A Logistic model was established based on the results of the univariate and multivariate analyses， and the receiver operating characteristic （ROC） curve and the area under the ROC curve （AUC） were used to assess the accuracy of the model. R software was used to visualize the model by plotting a nomogram， and the Bootstrap method was used for internal validation of the model. ResultsThe multivariate analysis showed that red blood cell count （RBC）， cholinesterase （ChE）， alkaline phosphatase （ALP）， albumin （Alb）， thrombin time （TT）， portal vein trunk diameter， sequential therapy， and primary prevention were independent predictive factors for rebleeding. Based on the results of the multivariate analysis， a logistic model was established as logit（P）=-0.805-1.978×（RBC）+0.001×（ChE）-0.020×（ALP）-0.314×（Alb）+0.567×（TT）+0.428×（portal vein trunk diameter）-2.303×［sequential therapy （yes=1， no=0）］-2.368×［primary prevention （yes=1， no=0）］. The logistic model （AUC=0.928， 95% confidence interval ［CI］： 0.893—0.964， P<0.001） had a better performance in predicting rebleeding than MELD score （AUC=0.603， 95%CI： 0.520—0.687， P=0.003）， Child-Pugh class （AUC=0.650， 95%CI： 0.578—0.722， P=0.001）， and FIB-4 index （AUC=0.587， 95%CI： 0.503—0.671， P=0.045）. The model had an optimal cut-off value of 0.607， a sensitivity of 0.817， and a specificity of 0.817. Internal validation confirmed that the model had good predictive performance and accuracy. ConclusionSequential therapy， implementation of primary prevention， an increase in RBC， and an increase in Alb are protective factors against rebleeding， while prolonged TT and widened main portal vein diameter are risk factors. The logistic model based on these independent predictive factors can predict rebleeding and thus holds promise for clinical application.

Liver cirrhosis is the terminal stage of various chronic liver diseases， with the main clinical manifestation of portal hypertension， which can lead to spontaneous portosystemic shunt （SPSS）. SPSS is very common in clinical practice and is closely associated with the prognosis of patients. This article summarizes the recent studies in the clinical significance of cirrhotic portal hypertension with SPSS， the controversies in studies， and the current status and future prospects and challenges of treatment， in order to provide a reference for the standardized diagnosis and treatment of portal hypertension.

Objective:To explore relevant factors to accurately diagnose BPPV in vertigo children. Methods:A retrospective study was conducted on the proportion of BPPV in children（<18 years） with vertigo who visited the Hearing and Vertigo Diagnosis and Treatment Center of Tianjin Medical University General Hospital from September 2017 to August 2023. The clinical characteristics of BPPV children, including general demographics, medical history, first visit department, comorbidities, canal involvement, response to treatment, and incidence of recurrence, were analyzed. Data analysis was conducted using SPSS 25.0 software. Results:BPPV was diagnosed in 22.8% of patients seen for vertigo during the study period. There are differences in the proportion of BPPV diagnosis among children with dizziness in different age groups（P<0.05）, and the diagnosis of BPPV in the 7-12-year-old group has a longer disease course than in the 13-17-year-old group（P<0.05）. 72.3%（47/65） of patients or their families were able to provide a typical history of positional vertigo. 49.2%（32/65） of BPPV patients had comorbidities, and there were differences in the proportion of comorbidities among different age groups of BPPV patients（P<0.05）. With the progress of study, the proportion of BPPV in children with vertigo has shown an upward trend, and the proportion of children with otolaryngology as the first diagnosis department has also increased（P<0.05）. The proportion of horizontal semicircular canals in children with BPPV has increased. All BPPV patients underwent canalith repositioning maneuvers, with good treatment outcomes and a recurrence rate of 12.3%（8/65）. The recurrence rate in the group of BPPV patients with comorbidities was 21.9%, which was higher than that in the group without comorbidities（P<0.05）. Conclusion:Childhood BPPV has clinical characteristics such as unclear medical history, high proportion of comorbidities, easy recurrence in BPPV children with comorbidities and high proportion of horizontal semicircular canal involvement. For children diagnosed with other vertigo diseases, do not ignore the BPPV diagnostic test. It is recommended to perform routine position tests on children with vertigo if conditions permit to reduce missed diagnosis of BPPV in children.
Humans ; Benign Paroxysmal Positional Vertigo/diagnosis* ; Child ; Retrospective Studies ; Adolescent ; Female ; Male ; Recurrence ; Vertigo/diagnosis* ; Comorbidity ; Child, Preschool

Objective:To characterize the complete genome sequence and elucidate the structural features of norovirus (NoV) isolate SD20200267.Methods:The viral nucleic acid was extracted from patient samples, followed by amplification and sequencing for genotyping based on the nucleotide sequences. The metagenomic sequencing technology was utilized for whole genome sequencing, and subsequent analysis was performed on the acquired nucleotide sequences.Results:The complete genome sequence of the SD20200267 strain, spanning a total length of 7 465 nucleotides, was successfully obtained. The SD20200267 strain belongs to the GⅡ.12 and GⅡ.P16 genotypes in the VP1 and RdRp regions, respectively. The nucleotide sequence identity of SD20200267 strain with other GⅡ.12[P16] strains ranged from 96.0% to 97.3%, exhibiting 15 amino acid variations. The strain displayed evidence of recombination, with the recombination site located in the overlapping region of ORF1 and ORF2.Conclusions:SD20200267 is classified as a GⅡ.12[P16] strain, and recombination was observed in the overlapping region of ORF1 and ORF2.

A novel amide alkaloid,bursatamide A(1),featuring an unprecedented propyl-hexahydronaphthalene carbon frame-work,was isolated from the infrequently studied sea hare Bursatella leachi,alongside a new 3-phenoxypropanenitrile alkaloid,bursatellin B(2),and twelve known compounds.The structures of 1 and 2 were elucidated through comprehensive spectroscopic data analyses,while their relative and absolute configurations(ACs)were established through total synthesis and a series of quantum chem-ical calculations,including calculated electronic circular dichroism(ECD)spectra,optical rotatory dispersion(ORD)methods,and DP4+probability analyses.Bursatamide A(1)demonstrated inhibitory effects against the human pathogenic bacteria Listeria monocyt-ogenes and Vibrio cholerae.Erythro-bursatellin B(21),a diastereoisomer of 2,exhibited notable antibacterial activity against the fish pathogenic bacterium Streptococcus parauberis FP KSP28,with an MIC90 value of 0.0472 μg·mL-1.

BACKGROUND:Unicompartmental knee arthroplasty can effectively treat severe unilateral knee osteoarthritis.It has been found that posterior tibial cortical fracture is prone to occur after unicompartmental knee arthroplasty.The fracture begins at the keel groove of tibial osteotomy.The tibial prosthesis riser length affects the biomechanical results of the knee joint after unicompartmental knee arthroplasty. OBJECTIVE:To investigate the effect of tibial prosthesis riser length on knee biomechanics in unicompartmental knee arthroplasty,and to find out the relationship between prosthesis riser length and anterior and posterior tibial diameters of patients. METHODS:Computed tomography image data and commonly used unicompartmental prostheses were selected from a 37-year-old healthy female with no history of knee disease.A natural knee joint model was established and a unicompartmental prosthesis model was built.Eight different lengths of tibial prosthesis risers were established,with a minimum length of 31 mm and a maximum length of 34.5 mm in 0.5 mm increments,for comparison with the commonly used hospital prosthesis riser length of 33.2 mm.The material of the femoral component and tibial disc was cobalt-chromium-molybdenum alloy,and the tibial spacer was ultra-high molecular weight polyethylene.The biomechanical changes of the knee joint were observed using finite element analysis software loaded with 1000 N over the femur. RESULTS AND CONCLUSION:(1)The tibial stress was minimal at a tibial prosthesis riser length of 33 mm;the anterior cruciate ligament stress was minimal;the lateral meniscus stress was minimal,and the femoral prosthesis stress was minimal.The remaining components were less stressful.(2)The subject's medial tibial plateau anterior-posterior diameter length was 53 mm,and by calculating the ratio,the optimal ratio of tibial prosthesis riser length to anterior-posterior tibial diameter should be about 62%.If it is lower than this value,aseptic loosening of the prosthesis may occur,and if it is higher than this value,fracture of the bone cortex at the anterior-posterior end of the tibia may occur.

Objective: To investigate the nicotine dependence of patients with chronic obstructive pulmonary disease (COPD) who smoke and analyze its influencing factors, so as to provide insights into targeted smoking cessation interventions for smoking COPD patients. Methods: The smoking COPD patients were selected from three hospitals in Lanzhou City using the convenience sampling method from October 2022 to April 2023. Demographic data, smoking status, and willingness to quit smoking were collected using questionnaire surveys. Nicotine dependence was assessed according to Fagerstrom Test for Nicotine Dependence. The influencing factors of nicotine dependence in smoking COPD patients were analyzed using a multiple linear regression model. Results: A total of 200 questionnaires were distributed, and 171 valid questionnaires were collected, with a response rate of 85.50%. The median age was 48.00 (interquartile range, 10.00) years. There were 158 males, accounting for 92.40%; 53 cases with a college degree or above, accounting for 30.99%. The median smoking duration was 15.00 (interquartile range, 11.00) years. There were 73 patients (42.69%) smoking 21 to 30 cigarettes per day, and 159 patients (92.98%) with the willingness to quit smoking. The median nicotine dependence score was 3.00 (interquartile range, 1.00) points. There were statistically significant differences in nicotine dependence scores among smoking COPD patients with different ages, educational levels, occupations, interpersonal relationships, smoking duration, daily cigarette consumption, awareness of smoking hazards and willingness to quit smoking (all P<0.05). Multiple linear regression analysis revealed that nicotine dependence was related with educational level (β=-0.251), interpersonal relationship (β=-0.246), smoking duration (β=0.038), daily cigarette consumption (β=0.518) and willingness to quit smoking (β=-0.173) among smoking COPD patients (all P<0.05). Conclusion The nicotine dependence among smoking COPD patients was influenced by educational level, interpersonal relationships, smoking duration, daily cigarette consumption and willingness to quit smoking.

Objective To systematically evaluate the risk factors for postoperative delirium after surgery for Stanford type A aortic dissection. Methods We searched the CNKI, SinoMed, Wanfang data, VIP, PubMed, Web of Science, EMbase, The Cochrane Library database from inception to September 2022. Case-control studies, and cohort studies on risk factors for postoperative delirium after surgery for Stanford type A aortic dissection were collected to identify studies about the risk factors for postoperative delirium after surgery for Stanford type A aortic dissection. Quality of the included studies was evaluated by the Newcastle-Ottawa scale (NOS). The meta-analysis was performed by RevMan 5.3 software and Stata 15.0 software. Results A total of 21 studies were included involving 3385 patients. The NOS score was 7-8 points. The results of meta-analysis showed that age (MD=2.58, 95%CI 1.44 to 3.72, P＜0.000 01), male (OR=1.33, 95%CI 1.12 to 1.59, P=0.001), drinking history (OR=1.45, 95%CI 1.04 to 2.04, P=0.03), diabetes history (OR=1.44, 95%CI 1.12 to 1.85, P=0.005), preoperative leukocytes (MD=1.17, 95%CI 0.57 to 1.77), P=0.000 1), operation time (MD=21.82, 95%CI 5.84 to 37.80, P=0.007), deep hypothermic circulatory arrest (DHCA) time (MD=3.02, 95%CI 1.04 to 5.01, P=0.003), aortic occlusion time (MD=8.94, 95%CI 2.91 to 14.97, P=0.004), cardiopulmonary bypass time (MD=13.92, 95%CI 5.92 to 21.91, P=0.0006), ICU stay (MD=2.77, 95%CI 1.55 to 3.99, P＜0.000 01), hospital stay (MD=3.46, 95%CI 2.03 to 4.89, P＜0.0001), APACHEⅡ score (MD=2.76, 95%CI 1.59 to 3.93, P＜0.000 01), ventilation support time (MD=6.10, 95%CI 3.48 to 8.72, P＜0.000 01), hypoxemia (OR=2.32, 95%CI 1.40 to 3.82, P=0.001), the minimum postoperative oxygenation index (MD=−79.52, 95%CI −125.80 to −33.24, P=0.000 8), blood oxygen saturation (MD=−3.50, 95%CI −4.49 to −2.51, P＜0.000 01), postoperative hemoglobin (MD=−6.35, 95%CI −9.21 to −3.50, P＜0.000 1), postoperative blood lactate (MD=0.45, 95%CI 0.15 to 0.75, P=0.004), postoperative electrolyte abnormalities (OR=5.94, 95%CI 3.50 to 10.09, P＜0.000 01), acute kidney injury (OR=1.92, 95%CI 1.34 to 2.75, P=0.000 4) and postoperative body temperature (MD=0.79, 95%CI 0.69 to 0.88, P＜0.000 01) were associated with postoperative delirium after surgery for Stanford type A aortic dissection. Conclusion The current evidence shows that age, male, drinking history, diabetes history, operation time, DHCA time, aortic occlusion time, cardiopulmonary bypass time, ICU stay, hospital stay, APACHEⅡ score, ventilation support time, hypoxemia and postoperative body temperature are risk factors for the postoperative delirium after surgery for Stanford type A aortic dissection. Oxygenation index, oxygen saturation, and hemoglobin number are protective factors for delirium after Stanford type A aortic dissection.

ObjectiveTo explore the molecular mechanism implicated in the treatment of primary myelofibrosis （PMF） using Chinese medicinal herbs （CMH） by bioinformatics and molecular dynamics. MethodsData mining was performed to find the high-frequency CMH in treating PMF between the year of 1985 and 2024 by searching CNKI， Chinese Science and Technology Journal Database （CCD）， and China Academic Journal Database （CSPD）. TCMSP， SwissTargetPrediction and related reports were used to collect the main active ingredients of high-frequency CMH and their targets. The PMF datasets GSE44426 and GSE124281 were downloaded from GEO database， and R software was used for data normalization and differentially expressed genes （DEGs） screening. Key module hub genes were obtained by weighted gene co-expression network analysis （WGCNA） analysis. The common intersection genes of active ingredient targets， DEGs and key module hub genes of CMH were selected， and the target network was generated using Cytoscape 3.9.2 software. The core target network was generated by topological analysis， while key pathways were selected by GO and KEGG pathway enrichment analysis， and protein interaction relationships were obtained from the String database， so as to construct drug-ingredient-target network and protein interaction network （PPI） relationship diagrams. Discovery Studio 2020 software was used to perform molecular docking， and the GROMACS program was used to perform molecular dynamics simulation. ResultsA total of 21 prescriptions were collected involving 121 herbs. There were 9 herbs with a frequency ≥10 times， which were Danshen （Radix et Rhizoma Salviae Miltiorrhizae）， Huangqi （Radix Astragali）， Baizhu （Rhizoma Atractylodis Macrocephalae）， Danggui （Radix Angelicae Sinensis）， Dangshen （Radix Codonopsis）， Gancao （Radix et Rhizoma Glycyrrhizae）， Baishao （Radix Paeoniae Alba）， Fuling （Poria） and Shudihuang （Radix Rehmanniae Praeparata） from high- to low-frequency. A total of 98 active ingredients and 1125 potential targets were obtained from 9 high-frequency CMH. GSE44426 and GSE124281 data sets screened out 24 gene samples， including 14 of the healthy control group and 10 of the PMF group， and identified 319 DEGs between the two groups， including 122 up-regulated genes and 197 down-regulated genes. WGCNA screened out 24 co-expression module genes and found that the five modules closely related to the onset of PMF were MEpink， MEdarkred， MEblack， MEgrey， and MEturquoise， involving 7112 key module hub genes. The GO and KEGG enrichment analyses indicated that lipids and the atherosclerosis pathways were mainly involved in the mechanism of above high-frequency CMH in treating PMF， which included six hub protein targets： HSP90AA1， HSP90AB1， SRC， MAPK1， IL1B and IL10. From the drug-ingredient-target network， seven active ingredients of CMH targeting at these six hub targets were found， including verbascoside， verbascos isoflavone， kaempferol， luteolin， naringenin， quercetin and pachymic acid. The molecular docking and molecular dynamics analyses showed that the key CMH were Shudihuang， Huangqi， Baishao， Danshen， Gancao and Fuling， and among the seven active ingredients， calycosin had the highest binding affinity with HSP90AB1. ConclusionThe main CMH for the treatment of PMF may be Shudihuang， Huangqi， Baishao， Danshen， Gancao and Fuling， and the active ingredients include verbascoside， verbascos isoflavones， kaempferol， luteolin， naringenin， quercetin and pachymic acid. The relevant targets are HSP90AA1， HSP90AB1， SRC， MAPK1， IL-10， and IL-1β， and the most critical pathways are lipid and atherosclerosis pathways.

Tetrandrine(TET),a natural bisbenzyl isoquinoline alkaloid extracted from Stephania tetrandra S.Moore,has diverse pharmacological effects.However,its effects on melanoma remain unclear.Cellular prolif-eration assays,multi-omics analyses,and xenograft models were used to determine the effect of TET on melanoma.The direct target of TET was identified using biotin-TET pull-down liquid chromatograph-mass spectrometry(LC-MS),cellular thermal shift assays,and isothermal titration calorimetry(ITC)analysis.Our findings revealed that TET treatment induced robust cellular autophagy depending on activating transcription factor 6(ATF6)-mediated endoplasmic reticulum(ER)stress.Simultaneously,it hindered autophagic flux by inducing cytoskeletal protein depolymerization in melanoma cells.TET treatment resulted in excessive accumulation of reactive oxygen species(ROS)and simultaneously triggered mitophagy.Sirtuin 5(SIRT5)was ultimately found to be a direct target of TET.Mechanistically,TET led to the degradation of SIRT5 via the ubiquitin(Ub)-26S proteasome system.SIRT5 knockdown induced ROS accumulation,whereas SIRT5 overexpression attenuated the TET-induced ROS accumula-tion and autophagy.Importantly,TET exhibited anti-cancer effects in xenograft models depending on SIRT5 expression.This study highlights the potential of TET as an antimelanoma agent that targets SIRT5.These findings provide a promising avenue for the use of TET in melanoma treatment and underscore its potential as a therapeutic candidate.