Objective:To analyze the prognostic factors of patients with liver cirrhosis and portal vein thrombosis (PVT), and to construct a prognostic prediction model based on machine learning methods.Methods:The clinical data of 388 patients with liver cirrhosis and PVT admitted to the Fifth Medical Center of PLA General Hospital from January 2022 to April 2024 were retrospectively collected and analyzed, including 243 males and 145 females, aged (56.9±10.9) years. A total of 388 patients were randomly divided into the training set ( n=310) and the testing set ( n=78) in a 4∶1 ratio. The Boruta algorithm was used to screen the key features in the training set, and then four machine learning algorithms, including random forest, support vector machine, generalized linear model and Bayesian, were used to establish a survival prediction model. Model performance was evaluated by the receiver operating characteristic (ROC) curves of the test set and the training set. The patients were followed up for 1 year for survival. Sort the importance of features based on the SHAP value. Results:There were 250 patients (80.6%) who survived and 60 (19.4%) who died. The model for end-stage liver disease score, total bilirubin, serum creatinine, prothrombin time, international normalized ratio, D-dimer, white blood cell count, severe ascites ratio, and Child-Pugh grade C ratio of liver function in the death group were higher than those in the survival group, and the red blood cell count and hematocrit were lower than those in the survival group, and the differences were statistically significant (all P<0.05). The areas under the ROC curve for predicting survival by random forest, support vector machine, generalized linear model and Bayesian model were 0.92, 0.78, 0.81 and 0.71 in the training set, and the area under the ROC curve in the testing set were 0.81, 0.72, 0.67 and 0.68, respectively. Random forest had the best prediction performance, with an accuracy of 81.7%, a sensitivity of 84.6%, and a specificity of 76.9% in the testing set. In the analysis of the importance of characteristic parameters of the random forest model, total bilirubin, red blood cells, hematocrit, serum creatinine, ascites classification, etc. had a relatively high contribution to the model. Conclusion:In the survival prediction model of patients with liver cirrhosis and PVT based on machine learning algorithm, the random forest model had high prediction performance, and total bilirubin may be the most important factor affecting the survival prognosis of patients.

Objective:To analyze the prognostic factors of patients with liver cirrhosis and portal vein thrombosis (PVT), and to construct a prognostic prediction model based on machine learning methods.Methods:The clinical data of 388 patients with liver cirrhosis and PVT admitted to the Fifth Medical Center of PLA General Hospital from January 2022 to April 2024 were retrospectively collected and analyzed, including 243 males and 145 females, aged (56.9±10.9) years. A total of 388 patients were randomly divided into the training set ( n=310) and the testing set ( n=78) in a 4∶1 ratio. The Boruta algorithm was used to screen the key features in the training set, and then four machine learning algorithms, including random forest, support vector machine, generalized linear model and Bayesian, were used to establish a survival prediction model. Model performance was evaluated by the receiver operating characteristic (ROC) curves of the test set and the training set. The patients were followed up for 1 year for survival. Sort the importance of features based on the SHAP value. Results:There were 250 patients (80.6%) who survived and 60 (19.4%) who died. The model for end-stage liver disease score, total bilirubin, serum creatinine, prothrombin time, international normalized ratio, D-dimer, white blood cell count, severe ascites ratio, and Child-Pugh grade C ratio of liver function in the death group were higher than those in the survival group, and the red blood cell count and hematocrit were lower than those in the survival group, and the differences were statistically significant (all P<0.05). The areas under the ROC curve for predicting survival by random forest, support vector machine, generalized linear model and Bayesian model were 0.92, 0.78, 0.81 and 0.71 in the training set, and the area under the ROC curve in the testing set were 0.81, 0.72, 0.67 and 0.68, respectively. Random forest had the best prediction performance, with an accuracy of 81.7%, a sensitivity of 84.6%, and a specificity of 76.9% in the testing set. In the analysis of the importance of characteristic parameters of the random forest model, total bilirubin, red blood cells, hematocrit, serum creatinine, ascites classification, etc. had a relatively high contribution to the model. Conclusion:In the survival prediction model of patients with liver cirrhosis and PVT based on machine learning algorithm, the random forest model had high prediction performance, and total bilirubin may be the most important factor affecting the survival prognosis of patients.

AIM To study the effect of Zuogui Pills on improving ovarian function in rats with premature ovarian failure(POF)by regulating autophagy.METHODS Seven rats were randomly selected as the blank group,and the remaining rats were injected with cisplatin(4.0 mg/kg)intraperitoneally to establish POF model.The success of the model was evaluated by observing the changes of estrous cycle.Twenty-one successful model of rats were randomly divided into model group and estradiol group(0.01 mg/mL)and Zuogui Pills group(1.85 g/kg),with 7 rats in each group,the drug was administered continuously for 21 days.Serum E2,FSH and LH levels were detected by ELISA;HE staining was used to observe the pathological morphology of ovarian tissue;immunohistochemical(IHC)method was used to detect the protein expressions of LC3B,SIRT1 and FoxO1 in ovarian tissues;RT-qPCR method was used to detect the mRNA expressions of LC3B,Beclin-1 and Atg5 in ovarian tissues;the protein expressions of SIRT1,FoxO1 and Ac-FoxO1 in ovarian tissue was detected by Western blot.RESULTS Compared with the blank group,the ovarian index of the model group decreased(P＜0.01);serum FSH and LH levels increased(P＜0.01)and E2 level decreased(P＜0.01);the structure of ovary is disordered,especially atresia follicle;the mRNA expressions of LC3B,Beclin-1 and Atg5 in ovarian tissue increased(P＜0.01),while the protein expressions of LC3B and Ac-FoxO1 increased(P＜0.01),while the protein expressions of SIRT1 and FoxO1 decreased(P＜0.01).Compared with the model group,the ovarian index of rats in estradiol group and Zuogui Pills group increased(P＜0.01);serum FSH and LH levels decreased(P＜0.01)and E2 level increased(P＜0.01);the number of primordial follicles in ovary increased and the number of atresia follicles decreased;the mRNA expressions of LC3B,Beclin-1 and Atg5 in ovarian tissue decreased(P＜0.01),while the protein expressions of LC3B and Ac-FoxO1 decreased(P＜0.01),while the protein expressions of SIRT1 and FoxO1 increased(P＜0.01).CONCLUSION Zuogui Pills may inhibit autophagy by activating SIRT1/FoxO1 signaling pathway,thus improving the pathological state of POF rats,regulating the level of sex hormones in rats,restoring endocrine balance,enhancing ovarian reserve function,promoting the normal development of follicles and delaying the progress of POF.

To formulate an expert consensus on the principles of preoperative hair removal and provide scientific guidance for standardized removal of hair before surgical procedures so as to reduce the incidence of surgical site infections.METHODS Led by the Hospital Management Institute of National Health Commission of the People's Republic of China,this consensus was reached with the joint efforts from the expects of relevant fields such as surgeries,interventional therapies,nursing,and infection prevention and control.The consensus facilitates the classification and evaluation of literatures by following the evidence grade formulated by Oxford Evidence-based Medicine Center and focuses on the association of preoperative hair removal with surgical site infection,it reaches the evidence grade of expert consensus and recommendation intensity by integrating with discussions on meetings and clinical experience of the expects from relevant fields.RESULTS A total of 6 items of consensus were reached by summarizing the latest evidence on the aspects including the indications for preoperative hair removal,tools,range,timing and places.CONCLUSION The consensus,to some extent,make supplements to and complete the exiting regulations and standards.It provides guidance for the medical institutions to carry out the preoperative hair removal.

Objective To explore the relationship between community health follow-up management and the mental health of the long-term care insurance residents,and to provide a basis for the construction of an integrated community home care service mode for disabled elders.Methods The residents were selected through cluster sampling who participated in LTCI home care from Jan 1 to Dec 31,2021.After a year of participation,the subjects'mental health was assessed face-to-face by trained community doctors using the Self-Rating Anxiety Scale and the Self-Rating Depression Scale.By referring to residents'electronic health records combined with on-site questionnaire survey,community doctors collected the demographic information and health follow-up management provided by primary medical and health institutions.The multivariate logistic regression were conducted to evaluate the association between follow-up care and mental health outcomes.Results The study consisted of 399 LTCI-enrolled individuals,57.64%(n=230)received follow-up care by family physicians.The prevalence of anxiety and depression among participants was 19.80%(n=79)and 67.67%(n=270),respectively.Univariate analysis found that community health follow-up management could underscore the potential impact of follow-up care in mitigating anxiety(χ2=38.926,P<0.001)and depression(χ2=14.598,P<0.001)among LTCI enrollees.Multivariate analysis revealed that follow-up care was an independent protective factor against anxiety(adjusted OR=0.351,95%CI:0.176-0.701,P=0.003).However,follow-up care did not significantly impact depression prevalence.Additionally,LTCI grade and education level were also identified factors influencing the mental health of participants(P<0.05).Conclusion Community health service centers provide health follow-up management that plays a positive role in alleviating the anxiety symptoms of disabled residents under long-term care insurance home care.It is an effective way to improve the quality of LTCI home care services.

Aim To investigate the neuroprotective effect of Takeda G protein-coupled receptor-5(TGR5)activated by INT-777 on hypoxic-ischemic encephalop-athy(HIE)in neonatal rats.Methods Seven-day-old SD rats were randomly divided into the sham opera-tion group(Sham,S),model group(HIE,G),INT-777 low-dose(L),medium-dose(M),and high-dose(H)groups.The modified Rice-Vanucci method was used to construct the HIE model and Intranasal admin-istration 1 h after modeling.Short-term neurobehavioral tests were performed 48 h after modeling to evaluate the neurological function of neonatal rats,TTC staining was used to determine the volume of cerebral infarction,dry and wet specific gravity was used to determine the brain water content,ferrous ion kit was used to deter-mine the brain ferrous ion content,HE staining was used to observe the pathological damage of brain tis-sue,Nissl staining was used to observe the loss of Nissl substance,Transmission electron microscopy(TEM)was used to observe the mitochondrial morphological changes of cortical neurons,and Western blot was em-ployed to detect the expression of ferroptosis-related proteins TFR1 and GPX4.Results Compared with group S,group G had increased short-term neurobehav-ioral test consumption time,higher scores,increased cerebral infarct volume,brain water content,and brain ferrous iron content,significant brain tissue damage on the affected side,severe loss of Nissl substance,smaller neuronal mitochondria,decreased mitochondrial cris-tae,and increased expression of TFR1 and reduced ex-pression of GPX4.Compared with group G,the INT-777 administration group had a shorter consumption time for short-term neurobehavioral tests,lower scores,the cerebral infarction volume,brain water content,and brain ferrous ion content decreased,the brain tissue damage on the affected side was reduced,and there was insignificant loss of Nissl substance,larger neuronal mi-tochondrial volume,increased mitochondrial cristae,re-duced expression of TFR1,and increased expression of GPX4.Conclusions INT-777 agonist TGR5 has a protective effect against hypoxic-ischemic encephalopa-thy in neonatal rats,and its mechanism of action may be related to the inhibition of neuronal ferroptosis.

Aim To explore the mechanism of Lycium barbarum glycopeptide(LbGP)improving aging in rat primary ovarian granulosa cells.Methods This study divided the cells into a normal group,a DOX group,and four different LbGP concentration treatment groups post-DOX intervention.Results Cell proliferation was assessed using CCK-8,EDU,and Ki67 assays,while aging markers and mitochondrial function-related fac-tors were detected using immunofluorescence and West-ern blotting.The results showed that,compared to the DOX group,LbGP treatment significantly increased cell viability(P＜0.05)and promoted proliferation(P＜0.05).Post LbGP treatment,the β-galactosidase-posi-tive area in cells was significantly reduced compared to the DOX group(P＜0.05).Immunofluorescence re-sults indicated that,compared to the DOX group,levels of p21 and γH2AX significantly decreased(P＜0.05),while pRB increased(P＜0.05)after LbGP treatment.Western blot results showed that,compared to the DOX group,the aging phenotype proteins p21 and p53 significantly decreased(P＜0.05),and pRB notably increased(P＜0.05)in the LbGP treatment group.The release of cytC into the cytoplasm and the activated caspase-9 significantly decreased(P＜0.05);levels of CAMKK2,pAMPK,and mitochondrial calcium homeostasis regulator MCU increased(P＜0.05);nuclear energy metabolism-related proteins SirT1,PGC1α/β and ATP5A1 significantly increased(P＜0.05);compared to the DOX group,ROS levels significantly decreased after LbGP treatment(P＜0.05).Conclusions The results suggest that LbGP can ameliorate DOX-induced aging in rat primary ovar-ian granulosa cells,potentially through the upregulation of the CAMKKβ/AMPK signaling pathway,thereby im-proving mitochondrial calcium homeostasis and increas-ing the expression levels of cell energy metabolism-re-lated regulatory proteins.This provides an experimen-tal basis for LbGP's potential role in supporting the im-provement of ovarian function.

Purpose To explore the effect of Calumenin(CALU)on migration and invasion ability of gastric cancer cells,as well as epithelial-mesenchymal transition(EMT).Methods The immunohistochemical experiments and Western blot were applied to evaluate the protein level of CALU in gastric cancer.After constructing a gastric canc-er cell line with low expression of CALU,CCK8 assay,wound-healing analysis and Transwell migration and invasion assays were performed to determine cell proliferation,Migration and invasion ability.Western blot was performed to an-alyse the effect of CALU knockdown on EMT molecules.Results CALU expression was significantly higher in gastric cancer tissues compared to normal gastric tissues(P＜0.05),and high CALU expression was significantly associated with TNM stage and lymph node metastasis(P＜0.05).Compared with GES-1 cells,the protein expression of CALU upregulated in gastric cancer cells(P＜0.05).CALU knockdown suppressed the proliferation,migration,invasion of BGC823 cells and SGC7901 cells(P＜0.05).Rescue experimental evidence showed that synonymous mutations of CALU could reverse the inhibitory effect of CALU knockdown on the proliferation,migration,and invasion ability of gastric cancer cells(P＜0.05).Knockdown of CALU resulted in the downregulation of vimentin and Snail expression,while E-cadherin and β-catenin expression were upregulated in human gastric cancer cells(P＜0.05).Conclusion CALU knockdown inhibits the proliferation,migration,invasion,and EMT of human gastric cancer cells.

Objective This study aimed to investigate the correlation of cerebral perfusion and cognitive function status in patients with minor stroke(MS)or transient ischemic attack(TIA)complicated by severe intracranial arterial stenosis or occlusion(hereafter referred to as ICAS-MSTIA).Methods Retrospectively enrol consecutive ICAS-MSTIA patients admitted to the Department of Neurology,the First Affiliated Hospital of Xi'an Jiaotong University,from June 2023 to May 2024.In the meantime,healthy controls were openly recruited.The ICAS-MSTIA patients were divided into two groups based on the side of intracranial large artery stenosis or occlusion:the left intracranial large artery involvement group and the right intracranial large artery involvement group.All patients with intracranial large artery stenosis or occlusion underwent MR scanning within 2 weeks after the first episode of TIA or MS,while there was no specific time requirement for MR examination in the healthy control group.On the day of MR scanning,the Montreal cognitive assessment(MoCA)scale was used to evaluate the participants'global cognitive function and performance in various cognitive domains,including visuospatial/executive function,naming,attention,language,abstraction,delayed recall,and orientation.General information of all participants was collected,including age,sex,educational level,body mass index,and history of smoking and alcohol consumption.Clinical data were collected from both left and right intracranial large artery involvement groups,including cerebrovascular risk factors(such as,diabetes mellitus,hypertension,and hyperlipidemia),National Institutes of Health stroke scale(NIHSS)score at admission,responsible stenotic or occluded arteries(internal carotid artery,middle cerebral artery),degree of stenosis in the responsible vessel(severe stenosis[stenosis rate 70%-99%],occlusion[stenosis rate100%])and non-responsible vessel(no stenosis[0],mild stenosis[stenosis rate＞0-49%]),collateral circulation compensation(American Society of Interventional and Therapeutic Neuroradiology/Society of Interventional Radiology[ASTIN/SIR]collateral circulation classification),and responsible events(TIA,MS).General data and MoCA scale scores were compared across the three groups,while clinical data were compared between the left and right intracranial large artery involvement groups.Statistical parametric mapping 12(SPM 12)was used to perform voxel-wise independent samples t-tests on cerebral blood flow(CBF)differences among the left ICAS-MSTIA group,right ICAS-MSTIA group,and healthy control group,with cluster-level family-wise error(FWE)correction applied for adjustment.Multiple linear regression analysis was conducted to evaluate the relationship between global CBF values and total MoCA scores in ICAS-MSTIA patients with left or right intracranial large artery involvement.Results A total of 33 ICAS-MSTIA patients and 33 healthy controls were enrolled in the study.Among the ICAS-MSTIA patients,21 had left intracranial large artery involvement and 12 had right involvement.(1)Among the three groups,statistically significant differences were observed in the proportions of individuals with reported smoking history(P=0.024)and alcohol consumption history(P=0.011).The left intracranial large artery involvement group had a higher NIHSS score(0[0,2]vs.0[0,0],P=0.044)and a higher proportion of patients with internal carotid artery involvement(13/21 cases vs.2/12 cases,P=0.027)compared with the right side group.No statistically significant differences were observed in other general or clinical data across the three groups or between the two non-control groups(all P＞0.05).(2)Statistically significant differences were found across the three groups in the MoCA scale total score and scores of visuospatial/executive function,attention,language,abstraction,delayed recall,and orientation cognitive domains(all P＜0.05),while no significant difference was noted in the naming score(P=0.063).The left intracranial large artery involvement group had lower total MoCA score and lower scores in visuospatial/executive function,attention,language,abstraction,delayed recall,and orientation in comparison to the healthy control group(all P＜0.016 7).The right intracranial large artery involvement group had significantly lower scores in language,abstraction,and orientation domains than the healthy control group(all P＜0.016 7).Additionally,the left side group had a lower attention domain score than the right side group(P＜0.016 7).No other statistically significant differences were found in pairwise comparisons(all P＞0.016 7).(3)Patients in both the left and right intracranial large artery involvement groups exhibited a significant decrease in CBF in extensive regions on the affected side,including the temporal lobe,dorsolateral prefrontal cortex,and occipital lobe.Furthermore,after correction,in the left involvement group CBF was higher in the contralateral lingual gyrus,cuneus,and calcarine sulcus compared with the healthy control group(P＜0.05).While in the right involvement group,no regions had increased CBF compared to the healthy control group.(4)Multiple linear regression showed positive correlation between CBF in ipsilateral precentral gyrus and superior temporal gyrus,and the total MoCA score in patients with left intracranial large artery involvement(FWE-corrected,P＜0.05).In contrast,there was no correlation between CBF and total MoCA score in patients with right intracranial large artery involvement.Conclusions ICAS-MSTIA patients exhibited various degrees of impairment in cerebral perfusion and cognitive function.A significant positive correlation is observed between these two impairments in patients with left intracranial large artery involvement.

Acute lung injury （ALI） is one of the most common and critical diseases in clinical practice， with extremely high morbidity and mortality， seriously threatening human life and health. The pathogenesis of ALI is complex， in which the inflammatory response is a key factor. Studies have shown that NOD-like receptor protein 3 （NLRP3） inflammasomes are involved in ALI through mechanisms such as inflammation induction， increased microvascular permeability， recruitment of neutrophils， oxidative stress， and pyroptosis， playing a key role in the occurrence and progression of ALI. Therefore， regulating NLRP3 inflammasomes and inhibiting the release of inflammatory factors can alleviate the damage in ALI. At present， ALI is mainly treated by mechanical ventilation and oxygen therapy， which have problems such as high costs and poor prognosis. In recent years， studies have shown that traditional Chinese medicine （TCM） can reduce the inflammatory response and the occurrence of oxidative stress and pyroptosis by regulating the NLRP3 inflammasome， thus alleviating the damage and decreasing the mortality of ALI. Based on the relevant literature in recent years， this article reviews the research progress in TCM treatment of ALI by regulating NLRP3 inflammasomes， discusses how NLRP3 inflammasomes participate in ALI， and summarizes the active ingredients， extracts， and compound prescriptions of TCM that regulate NLRP3 inflammasomes， aiming to provide new ideas for the clinical treatment of ALI and the development of relevant drugs.