Objective To systematic evaluate the impact of applying the clinical nursing pathway(CNP)on epidural anesthetic analgesia natural delivery.Methods The randomized controlled trial(RCT)and quasi-experimental researches on the application of CNP in epidural anesthetic analgesia natural delivery were retrieved from PubMed,Cochrane Library,Embase,Web of Science,China Knowledge Network database,Wanfang database,VIP and the Chinese Biomedical Literature Database.The retrieval time limit was from January 1,2014,to July 31,2024 with no language limitation.The meta analysis on the included studies was performed by applying RevMan5.4.1.Results A total of 5 RCTs and 2 quasi-experimental studies were in-cluded,involving 979 parturients with deliveries.The meta analysis showed that compared with the conven-tional nursing,CNP could shorten the duration of the first stage of labor(MD=—1.06,95％CI:—1.95——0.17,P=0.02)and the duration of the second stage of labor(MD=—0.12,95％CI:—0.21——0.03,P=0.006);decreased the rate of perineal lateral incision(RR=0.73,95％CI:0.65-0.83,P＜0.001)and inci-dence rate of postpartum urinary retention(RR=0.35,95％CI:0.20-0.63,P＜0.001);and shortened the time to lactation initiation(SMD=—1.52,95％CI:—2.38——0.66,P＜0.001).There was no influence on reducing postpartum 24 h hemorrhage amount(SMD=—0.51,95％CI:—1.23-0.21,P=0.16).The study subjects were divided into the primipara women subgroup and unclassified parturients subgroup.Compared with the conventional nursing group,compared with the conventional nursing,CNP had no impact on the dura-tion of the first stage of labor(MD=—0.32,95％CI:—0.61-0.98,P=0.63)and the duration of the second stage of labor(MD=—0.11,95％CI:—0.25-0.04,P=0.15)in the primipara women subgroup.CNP could reduce the postpartum 24 h hemorrhage volume in the unclassified parturients subgroup(SMD=—1.47,95％CI:—1.72——1.21,P＜0.001).Conclusion Application of CNP in parturients labor analgesia could reduce the perineal lateral incision rate and incidence rate of postpartum urinary retention and shorten the time to lac-tation initiation.Due to the heterogeneity among studies,the impact of CNP on the labor duration and the bleeding amount within postpartum 24 h still requires more high-quality studies to be conducted in the future for verification.

Objective:To investigate the differences in clinical outcomes of septic children with varying serum zinc levels,and to analyze the relationship between reduced serum zinc levels and organ dysfunction as well as 28-day mortality in septic children.Methods:This study conducted a retrospective analysis of clinical data from pediatric patients diagnosed with sepsis or septic shock in the Department of critical care medicine of the children's Hospital of Soochow University between January 2017 and December 2022.Clinical characteristics,organ dysfunction,and prognosis were compared between two groups:children with low serum zinc levels and those with normal zinc levels.Results:The serum zinc level of septic children within 24 hours of admission was 9.60(5.52,13.80)μmol/L,with 50.54%(94/186)of the children exhibiting low serum zinc levels(<10.07 μmol/L).Compared to the normal serum zinc group,the low serum zinc group had a significantly lower Pediatric Critical Illness Score(PCIS)[(78.71±9.35)vs.(85.12±8.51),P=0.005]and higher 28-day mortality(46.80%vs.14.13%,P<0.001).The low serum zinc group also had a higher proportion of invasive mechanical ventilation(64.89%vs.47.82%,P=0.019),renal replacement therapy(15.59%vs.3.26%,P=0.003),and use of vasoactive drugs(56.38%vs.30.43%,P<0.001).The rate of underlying conditions in the low serum zinc group was significantly higher than that in the normal serum zinc group(57.44%vs.36.95%,P=0.005).Additionally,the low serum zinc group had a higher incidence of disseminated intravascular coagulation(DIC),respiratory failure,acute kidney injury,shock,and multiple organ dysfunction syndrome(MODS)compared to the normal serum zinc group(P<0.05).Serum zinc levels had predictive value for 28-day mortality in septic children(AUC=0.813;95%CI:0.725～0.902;P<0.001).A serum zinc level of less than 6.950 μmol/L predicted the death of septic children with a sensitivity of 0.618 and a specificity of 0.902.Conclusion:Sepsis in children is commonly associated with low serum zinc levels,especially in those with underlying conditions such as hematologic and oncologic disorders.Sepsis patients hypozincemia with a higher incidence of DIC,respiratory failure,acute kidney injury,shock,and MODS.A serum zinc level below 6.95 μmol/L serves as a significant predictor of 28-day mortality in children with severe sepsis.

Myasthenia gravis(MG)is an autoimmune disease characterized primarily by skeletal muscle weakness and,in severe cases,respiratory involvement.Western medical treatment predominantly relies on immunosuppressants,but long-term administration often leads to notable side effects.In contrast,traditional Chinese medicine(TCM)offers the advantage of multi-target interventions.However,the pathogenesis of MG has not been fully elucidated,and the establishment of animal models that accurately reflect the clinical characteristics of both Chinese and Western medicine is essential for mechanism research and new drug development.This paper systematically reviews the etiology and pathogenesis,diagnostic criteria,and progress of animal model research for MG from both Chinese and Western medicine perspectives.In Western medicine,the pathogenesis of MG is closely related to genetic susceptibility,environmental factors,and autoantibody-mediated postsynaptic membrane damage.In TCM,MG is classified under the category of"flaccidity syndrome",attributed to congenital deficiencies and acquired malnourishment.Western diagnostic criteria involve a combination of clinical symptoms,fatigue testing,serum antibody assays,and electrophysiological evaluation.In contrast,TCM diagnosis emphasizes the integration of primary and secondary symptoms with tongue and pulse pattern differentiation.Currently available animal models mainly include experimental autoimmune myasthenia gravis(EAMG)and passive transfer myasthenia gravis(PTMG).The Toredo acetylcholine receptor(AChR)induced EAMG model aligns well with Western diagnostic criteria,but poorly matches secondary symptoms in TCM.The synthetic AChR peptide model is widely used,but shows low conformity with TCM syndromes.Models induced by muscle-specific tyrosine kinase(MuSK),low-density lipoprotein receptor-related protein 4(LRP4),and transgenic models demonstrate high innovation but exhibit low clinical conformity.Evaluation of these models requires integration of behavioral,electrophysiological,and immunological indicators.However,a systematic framework for modelling TCM syndromes is still lacking.Future research should integrate TCM-based etiological modelling methods with the Western pathological mechanisms to construct disease-syndrome combination models.Additionally,it is crucial to establish a TCM syndrome evaluation system based on"validation by prescription",as well as to improve the scientific rigor and practicality of animal models by the incorporation of emerging technologies.This review provides a theoretical foundation for optimizing MG animal model design,advancing the research on the combination of Chinese and Western medicine,and supporting efficacy assessment and mechanism exploration of Chinese herbal prescriptions.

Background and Aims:Postoperative pancreatic fistula(POPF)is one of the most severe and common complications following pancreaticoduodenectomy(PD)and is a major cause of mortality after PD.Given the multiple risk factors associated with PD-POPF,developing an effective predictive model is of significant clinical importance.This study was conducted to explore the predictive performance of the triglyceride-glucose(TyG)index combined with serological indicators for POPF following PD.Methods:The preoperative general data,laboratory indicators within one week before surgery,and postoperative complication data of 291 patients who underwent PD at the Department of General Surgery,Second Hospital of Lanzhou University,from January 2019 to June 2024,were retrospectively collected.Patients were randomly divided into a modeling group(203 cases)and a validation group(88 cases)using a computer-generated random number method at a 7∶3 ratio.Univariate Logistic regression and multivariate binary Logistic regression(Back-Wald method)were performed on the modeling group data.Based on regression analysis results,a predictive model was constructed and visualized using a nomogram.The discriminative ability of the nomogram model was evaluated by the area under the receiver operating characteristic(ROC)curve(AUC).A calibration curve was used to assess the agreement between predicted and actual probabilities,and a decision curve analysis was conducted to evaluate the clinical application value of the model.Subgroup analysis was performed on potential factors influencing the outcome variables.Results:Among the 291 patients,70 developed POPF,with 49 cases in the modeling group and 21 in the validation group.There was no statistically significant difference between the two groups(all P>0.05).Univariate analysis in the modeling group identified body mass index(BMI),triglycerides,TyG index,albumin(ALB),platelet count(PLT),absolute lymphocyte count(LYM),and absolute neutrophil count(NEUT)as significant factors associated with POPF(all P<0.05).Multivariate analysis revealed that BMI,TyG index,ALB,PLT,LYM,and NEUT were independent influencing factors for POPF(all P<0.05).A PD-POPF risk prediction model and nomogram were constructed based on these results.The model achieved an AUC of 0.80(0.73-0.86),and when applied to the validation group,the ROC analysis yielded an AUC of 0.80(0.70-0.90).The calibration curves of both the modeling and validation groups closely aligned with the standard curve.Subgroup analysis indicated that tumor nature and tumor stage had minimal impact on PD-POPF risk factors,demonstrating good model stability.Conclusion:The TyG index,along with BMI,PLT,NEUT,ALB,and LYM,is closely associated with PD-POPF occurrence.The risk prediction model based on the TyG index and these influencing factors exhibits good predictive performance and holds significant clinical value for guiding early intervention.

Myasthenia gravis(MG)is an autoimmune disease characterized primarily by skeletal muscle weakness and,in severe cases,respiratory involvement.Western medical treatment predominantly relies on immunosuppressants,but long-term administration often leads to notable side effects.In contrast,traditional Chinese medicine(TCM)offers the advantage of multi-target interventions.However,the pathogenesis of MG has not been fully elucidated,and the establishment of animal models that accurately reflect the clinical characteristics of both Chinese and Western medicine is essential for mechanism research and new drug development.This paper systematically reviews the etiology and pathogenesis,diagnostic criteria,and progress of animal model research for MG from both Chinese and Western medicine perspectives.In Western medicine,the pathogenesis of MG is closely related to genetic susceptibility,environmental factors,and autoantibody-mediated postsynaptic membrane damage.In TCM,MG is classified under the category of"flaccidity syndrome",attributed to congenital deficiencies and acquired malnourishment.Western diagnostic criteria involve a combination of clinical symptoms,fatigue testing,serum antibody assays,and electrophysiological evaluation.In contrast,TCM diagnosis emphasizes the integration of primary and secondary symptoms with tongue and pulse pattern differentiation.Currently available animal models mainly include experimental autoimmune myasthenia gravis(EAMG)and passive transfer myasthenia gravis(PTMG).The Toredo acetylcholine receptor(AChR)induced EAMG model aligns well with Western diagnostic criteria,but poorly matches secondary symptoms in TCM.The synthetic AChR peptide model is widely used,but shows low conformity with TCM syndromes.Models induced by muscle-specific tyrosine kinase(MuSK),low-density lipoprotein receptor-related protein 4(LRP4),and transgenic models demonstrate high innovation but exhibit low clinical conformity.Evaluation of these models requires integration of behavioral,electrophysiological,and immunological indicators.However,a systematic framework for modelling TCM syndromes is still lacking.Future research should integrate TCM-based etiological modelling methods with the Western pathological mechanisms to construct disease-syndrome combination models.Additionally,it is crucial to establish a TCM syndrome evaluation system based on"validation by prescription",as well as to improve the scientific rigor and practicality of animal models by the incorporation of emerging technologies.This review provides a theoretical foundation for optimizing MG animal model design,advancing the research on the combination of Chinese and Western medicine,and supporting efficacy assessment and mechanism exploration of Chinese herbal prescriptions.

Background and Aims:Postoperative pancreatic fistula(POPF)is one of the most severe and common complications following pancreaticoduodenectomy(PD)and is a major cause of mortality after PD.Given the multiple risk factors associated with PD-POPF,developing an effective predictive model is of significant clinical importance.This study was conducted to explore the predictive performance of the triglyceride-glucose(TyG)index combined with serological indicators for POPF following PD.Methods:The preoperative general data,laboratory indicators within one week before surgery,and postoperative complication data of 291 patients who underwent PD at the Department of General Surgery,Second Hospital of Lanzhou University,from January 2019 to June 2024,were retrospectively collected.Patients were randomly divided into a modeling group(203 cases)and a validation group(88 cases)using a computer-generated random number method at a 7∶3 ratio.Univariate Logistic regression and multivariate binary Logistic regression(Back-Wald method)were performed on the modeling group data.Based on regression analysis results,a predictive model was constructed and visualized using a nomogram.The discriminative ability of the nomogram model was evaluated by the area under the receiver operating characteristic(ROC)curve(AUC).A calibration curve was used to assess the agreement between predicted and actual probabilities,and a decision curve analysis was conducted to evaluate the clinical application value of the model.Subgroup analysis was performed on potential factors influencing the outcome variables.Results:Among the 291 patients,70 developed POPF,with 49 cases in the modeling group and 21 in the validation group.There was no statistically significant difference between the two groups(all P>0.05).Univariate analysis in the modeling group identified body mass index(BMI),triglycerides,TyG index,albumin(ALB),platelet count(PLT),absolute lymphocyte count(LYM),and absolute neutrophil count(NEUT)as significant factors associated with POPF(all P<0.05).Multivariate analysis revealed that BMI,TyG index,ALB,PLT,LYM,and NEUT were independent influencing factors for POPF(all P<0.05).A PD-POPF risk prediction model and nomogram were constructed based on these results.The model achieved an AUC of 0.80(0.73-0.86),and when applied to the validation group,the ROC analysis yielded an AUC of 0.80(0.70-0.90).The calibration curves of both the modeling and validation groups closely aligned with the standard curve.Subgroup analysis indicated that tumor nature and tumor stage had minimal impact on PD-POPF risk factors,demonstrating good model stability.Conclusion:The TyG index,along with BMI,PLT,NEUT,ALB,and LYM,is closely associated with PD-POPF occurrence.The risk prediction model based on the TyG index and these influencing factors exhibits good predictive performance and holds significant clinical value for guiding early intervention.

Objective:To study the mechanism of arsenic trioxide(ATO)combined with metformin(MET)in promoting apoptosis of leukemia cells.Methods:CCK-8 method was used to detect the viability of leukemia cell line KG1a,K562,and THP1 cells treated by ATO monotherapy,MET monotherapy,and ATO combined with MET.Flow cytometry was used to detect cell cycle and apoptosis.RT-qPCR was used to detect the mRNA expression of PI3K/Akt and LKB1/AMPK pathway-related genes.Western blot was used to detect the expression of PI3K/Akt and LKB1/AMPK pathway-related proteins and autophagy-related protein LC3B and P62.Results:Compared with the ATO monotherapy group,ATO combined with MET significantly inhibited the growth of KG1a,K562 and THP1 cells,and the difference in KG1a cells was more statistically significant.The combination of the two drugs induced KG1a cell cycle arrest,promoted apoptosis,increased the expression of autophagy-related protein LC3B and P62,up-regulated the mRNA expression levels of PI3K/Akt pathway and LKB1/AMPK pathway-related genes,as well as the expression of LKB1/AMPK pathway-related proteins,and down-regulated the expression of PI3K/Akt pathway-related proteins.Conclusion:ATO combined with MET promotes apoptosis by up-regulating LKB1/AMPK and down-regulating PI3K/Akt signaling pathway to regulate the autophagy of leukemia cells.

Objective:To analyze the preferences of medical staff in TCM hospitals in Beijing regarding the achievements transformation of hospital traditional Chinese medicine preparations,and to provide a reference for formulating incentive policies.Methods:233 medical staff from five TCM hospitals in Beijing were taken as the research objects,and surveyed with a questionnaire designed based on the discrete choice experiment(DCE).Mixed logit models and latent class models were then used to analyze their transformation preferences.Results:The mixed Logit model revealed that seven key attributes significantly influenced medical staff's preferences for the achievements transformation of traditional Chinese medicine preparations(P<0.05).Latent class analysis identified three distinct preference groups among respondents:an organization-dependent group(27.0%),a pro-transformation group(61.4%),and a conservative group(11.6%).Conclusions:Medical Staff preferred transformation conditions that increased monthly income;utilized"human use+re-experimentation";involved the hospital's achievements transformation department as the entity;were funded by the hospital;offered a 70%profit share;enabled promotion three years earlier,and assigned patents to the hospital.The study recommends implementing diverse incentive measures and developing differentiated strategies tailored to the distinct Medical Staff categories to facilitate the transformation of hospital traditional Chinese medicine preparations into new drugs.

Objective:To establish a mouse model of liver cancer resistant to PD-1 monoclonal antibody and analyze the changes in its metabolomics to explore the potential mechanism of drug resistance.Methods:BALB/c mice were randomly divided into control and treatment groups after being loaded with tumor,and a normal group was additionally set up.The normal and control groups were injected with saline,and the treatment group was injected with PD-1 monoclonal antibody,after which the mice in the treatment group were screened for drug resistant and response groups.Observed the drug-resistant situation,body mass,tumor growth and survival rate of mice in each group,calculate the spleen index.The pathological features of tumor tissues were observed by HE staining method.Serum metabolites were detected by non-targeted metabolomics.Finally,a bivariate Pearson correlation analysis was conducted between the differential serum metabolites and tumor size.Results:The tumor-bearing mouse model with PD-1 monoclonal antibody resistance was successfully established,and the drug resistance rate of the mice was 50％.Compared with the normal and response groups,mice in the resistant group showed an increase in body weight,a significant increase in tumor volume,a decrease in survival rate,and a significant increase in splenic index.There was less lymphocyte infiltration in the tumor tissue.Metabolomics analysis showed that the serum levels of glutamic acid and aspartic acid increased and malic acid decreased in the resistant mice compared with the response group,and these changes were closely related to the arginine biosynthesis pathway.Conclusions:The tumor-bearing mouse model with PD-1 monoclonal antibody resistance was successfully established.The changes in its peripheral serum metabolomics mainly involve arginine metabolism and the related changes of aspartate,malate and glutamate.

Objective:To explore the changes in the whole transcriptome gene expression profile affected by EPB41L4A-AS,and to reveal its potential mechanisms that influence the progression of AD.Methods:U251 cells with stable low expression of EPB41L4A-AS1 were constructed using shRNA technology.Transcriptome sequencing was performed to screen for transcripts regulated by EPB41L4A-AS1.KEGG pathway and GO analysis were used to explore the related signaling pathways and biological processes regulated by EPB41L4A-AS1.Immunofluorescence assay was used to investigate the effects of EPB41L4A-AS1 on the activity of glial cells with antibodies against GFAP.Results:Knocking down the expression of EPB41L4A-AS1 in U251 cells significantly influenced the levels of multiple transcripts,with 626 upregulated and 949 downregulated.Further analysis revealed that the downregulated transcripts are related to AD,activation and proliferation of glial cells,and formation of amyloid fibers,and close to multiple signaling pathways that are involved in the glial cells-mediated Aβ clearance.Cellular experiments have shown that EPB41L4A-AS1 regulated the synapses length and activity of glial cells.Conclusions:EPB41L4A-AS1 may influence the glial cells-mediated Aβ clearance through multiple signaling pathways.