Objective To explore the relevant factors affecting the efficacy of traditional Chinese medicine in treating MG,and to develop and validate a nomogram model,in order to personalize the prediction of the probability of benefits for MG patients after traditional Chinese medicine treatment,further guide clinical physicians in targeted medication,and provide guidance for the traditional Chinese medicine treatment of MG.Method Retrospective analysis of MG patients who visited the Affiliated Hospital of Changchun University of Traditional Chinese Medicine from March 2018 to June 2022,13 clinical factors were selected to evaluate the results.To acquire independent factors,univariate and multivariate Logistic analyses were performed.The area under the receiver operating characteristic curve,Harrell's concordance index,calibration curve,and decision curve analyses were used to evaluate the predictive ability,accuracy,and clinical practicability of the prediction model.Results A total of 204 cases were included,divided into derivation cohort 139 cases and temporal validation cohort 65 cases.Multivariate Logistic regression showed 4 independent predictors affecting effectiveness of traditional Chinese medicine in treating MG,including age at onset,repetitive nerve stimulation positive,oral immunosuppressant and anxiety/depression.AUC values for the model group and validation group were 0.76(95%CI:0.68-0.84)and 0.83(95%CI:0.71-0.95),respectively,and based on calibration curve and decision curve analysis,we concluded that the nomogram showed excellent performance.Conclusion MG patients may experience a decrease in short-term efficacy with age,positive RNS,concomitant emotional abnormalities,or recent history of immunosuppressive therapy.This nomogram effectively predicts the possibility of short-term effective traditional Chinese medicine treatment in MG patients.

Objective To explore the relevant factors affecting the efficacy of traditional Chinese medicine in treating MG,and to develop and validate a nomogram model,in order to personalize the prediction of the probability of benefits for MG patients after traditional Chinese medicine treatment,further guide clinical physicians in targeted medication,and provide guidance for the traditional Chinese medicine treatment of MG.Method Retrospective analysis of MG patients who visited the Affiliated Hospital of Changchun University of Traditional Chinese Medicine from March 2018 to June 2022,13 clinical factors were selected to evaluate the results.To acquire independent factors,univariate and multivariate Logistic analyses were performed.The area under the receiver operating characteristic curve,Harrell's concordance index,calibration curve,and decision curve analyses were used to evaluate the predictive ability,accuracy,and clinical practicability of the prediction model.Results A total of 204 cases were included,divided into derivation cohort 139 cases and temporal validation cohort 65 cases.Multivariate Logistic regression showed 4 independent predictors affecting effectiveness of traditional Chinese medicine in treating MG,including age at onset,repetitive nerve stimulation positive,oral immunosuppressant and anxiety/depression.AUC values for the model group and validation group were 0.76(95%CI:0.68-0.84)and 0.83(95%CI:0.71-0.95),respectively,and based on calibration curve and decision curve analysis,we concluded that the nomogram showed excellent performance.Conclusion MG patients may experience a decrease in short-term efficacy with age,positive RNS,concomitant emotional abnormalities,or recent history of immunosuppressive therapy.This nomogram effectively predicts the possibility of short-term effective traditional Chinese medicine treatment in MG patients.

Objective:To investigate the efficacy and safety of sintilimab combined with the SOX regimen for adjuvant treatment of stage Ⅲgastric cancer after D2 radical resection and to provide a reference for individualized clinical treatment.Methods:The clinical data of 245 pa-tients with stage III gastric cancer who underwent D2 radical resection at the 940th Hospital of the Joint Support Force of the People's Liber-ation Army from June 2019 to May 2022 were retrospectively analyzed.The 180 patients who received only the SOX regimen were desig-nated the control group,and the 65 patients who received sintilimab combined with the SOX regimen were designated the experimental group.The 3-year disease-free survival(DFS)rate,overall survival(OS)rate,and adverse reactions among the two groups and different sub-groups(HER-2 positive,dMMR,CPS≥5)were compared.Results:The 3-year DFS(81.5%vs.59.4%)and OS(84.6%vs.70.6%)rates in the experimental group were significantly higher than those in the control group(both P<0.05).Group analysis showed that in patients with CPS≥5,the 3-year DFS(91.5%vs.67.0%)and OS(95.7%vs.71.6%)rates within the experimental group were significantly better than those in the control group(both P<0.05).Intra-group analysis within the experimental group showed that the 3-year DFS rate(91.5%vs.55.6%)and OS rate(95.7%vs.55.6%)of patients with CPS≥5 were significantly better than those of patients with CPS<5(both P<0.05).The overall and grade≥3 incidences of liver and kidney function damage,thyroid dysfunction,colitis,pneumonia,and rash in the experimental group were higher than those in the control group(all P<0.05),while the differences in other adverse reactions,including leukopenia were not statistic-ally significant(all P>0.05).Conclusions:Sintilimab combined with the SOX regimen can significantly improve 3-year DFS and OS rates in pa-tients with stage Ⅲ gastric cancer after surgery,especially in the CPS≥5 subgroup,with significant benefits and controllable safety.

Objective:To investigate the predictive value of serum levels of Ninjurin 1(NINJ1),cystatin C(CysC),and D-dimer(D-D)for unfavorable outcomes in patients with acute myocardial infarction(AMI).Methods:A total of 118 AMI patients hospitalized in the Chinese PLA Joint Logistic Support Force 901st Hospital between Feb-ruary 2020 and March 2023 were enrolled.According to prognosis within 6 months after treatment,patients were divided into favorable outcome group and unfavorable outcome group.Serum levels of CysC,D-D and NINJ1 were measured upon admission.Multivariate Logistic regression analysis was conducted to identify the factors influencing unfavorable outcome in AMI patients.Receiver operating characteristic(ROC)curves were used to analyze the pre-dictive value of serum NINJ1,CysC and D-D for the prognosis of AMI patients.A nomogram model for predicting unfavorable outcome in AMI patients was constructed and verified.Results:Compared to patients with favorable outcomes,those with unfavorable outcomes had significantly higher proportions of hypertension,diabetes,number of diseased coronary arteries ≥2,and serum levels of NINJ1,CysC and D-D,as well as a significantly lower pro-portion of Killip class Ⅰ-Ⅱ(P＜0.01 all).Multivariate Logistic regression analysis showed that number of diseased coronary arteries ≥2(OR=3.817,95％CI 1.140～12.779,P=0.030),Killip class Ⅲ-Ⅳ(OR=5.639,95％CI 1.706～18.637,P=0.005),hypertension(OR=4.188,95％CI 1.392～12.600,P=0.011),diabetes(OR=3.480,95％CI 1.148～10.552,P=0.028),and serum levels of NINJ1(OR=1.055,95％CI 1.009～1.103,P=0.018),CysC(OR=75.232,95％CI 5.537～545.908,P=0.003),and D-D(OR=56.163,95％CI 1.610～958.586,P=0.026)were significantly associated with unfavorable outcomes at 6 months in AMI patients.ROC a-nalysis showed that the AUC of serum NINJ1,CysC and D-D combined predicting unfavorable outcomes was 0.801(95％CI 0.718～0.869),which was significantly higher than those of serum NINJ1(0.675,95％CI 0.582～0.758)and D-D(0.676,95％CI 0.583～0.759)alone(Z=2.344,P=0.019;Z=2.173,P=0.030,),but the difference was not significant comparing to CysC alone(Z=1.856,P=0.064).The C-index of the nomogram model predic-ting unfavorable outcomes was 0.973(95％CI 0.967～0.986),and the predicted values of calibration curve were consistent with the actual values,indicating good prediction accuracy.Conclusion:Elevated serum levels of NINJ1,CysC and D-D in AMI patients were significantly associated with unfavorable outcomes.Combined detection of these indicators may accurately predict unfavorable outcomes compared to single detection,and the constructed no-mogram model exhibits good prediction efficacy.

Menstrual migraine is a specific subtype of migraine unique to women,closely related to the menstrual cycle,characterized by periodic and intractable headaches,often accompanied by nausea,vomiting or photophobia and phonophobia,which seriously affects life and has a high degree of disability.Its pathogenesis is complex,involving multi-dimensional regulation such as estrogen fluctuations,neurovascular responses and genetic and environmental factors,but the specific mechanism has not been fully clarified.In recent years,with the increasing social attention to women's health,the clinical research demand for menstrual migraine has become increasingly urgent.Currently,modern medicine can alleviate symptoms through acute drug intervention(such as non-steroidal anti-inflammatory drugs,triptans)and preventive treatment(such as beta-blockers,CGRP antagonists),but there are problems such as drug dependence and insufficient individualization.Traditional Chinese medicine,based on the"holistic concept"and"syndrome differentiation and treatment"theory,regulates the balance of qi,blood,yin and yang through therapies such as traditional Chinese medicine and acupuncture,showing unique advantages in improving symptoms and preventing recurrence.The combination of traditional Chinese and Western medicine can optimize the therapeutic effect and reduce side effects through synergistic effects,but the full-cycle prevention and treatment strategy still needs further exploration.This article systematically reviews the pathogenesis and research progress of treatment of menstrual migraine in traditional Chinese and Western medicine,emphasizes the interaction between hormone fluctuations and neurovascular responses,and proposes an individualized intervention plan based on the menstrual cycle,providing new ideas for clinical practice and reference directions for future research.

Depression is a highly heterogeneous psychiatric disorder with complex pathogenesis influenced by the interplay of biological,psychological,and social-environmental factors.Based on the 2021 edition of the Chinese Guidelines for the Prevention and Treatment of Depressive Disorders,which explicitly identify gender as a significant risk factor for depression onset,this paper systematically reviews the gender-differentiated pathogenesis and therapeutic advances in depression from both traditional Chinese medicine(TCM)and Western medical perspectives.In Western medicine,a large number of studies have demonstrated the sex-specific mechanism of estrogen/testosterone fluctuations and monoamine transmitter system regulation.While in TCM,although the constitution theory proposes that there are significant gender differences in congenital constitution and that qi depression and qi deficiency are associated with susceptibility to depression,current evidence primarily relies on cross-sectional surveys and lacks validation through high-quality RCTs.Compared with Western medicine,the direct research on gender-differentiated antidepressant effects in TCM remains relatively underdeveloped.In future study,it may be possible to deepen and improve the research on anti-depression in TCM from the biological markers of particular constitutions in the gender dimension.This paper advocates establishing a bio-psycho-social integrated intervention model,advancing mechanistic exploration through prospective cohort studies and multi-omics technologies,and promoting precision diagnosis and treatment systems based on gender differences,and to form a three-dimensional diagnosis and treatment and research system that covers biomarkers,social role assessment,and TCM constitution identification,in order to provide a new theoretical framework and a practical pathway for the precise medical treatment of depression.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

This paper explores the application and advancements of cross-cultural nursing concepts in the management of ICU patients. It identifies the core elements of humanistic care from a cross-cultural perspective, introduces relevant international research findings, and provides an in-depth analysis of existing challenges within the domestic healthcare context. Constructive suggestions are proposed to enhance the quality of life of ICU patients.

Objective:To investigate the predictive value of serum levels of Ninjurin 1(NINJ1),cystatin C(CysC),and D-dimer(D-D)for unfavorable outcomes in patients with acute myocardial infarction(AMI).Methods:A total of 118 AMI patients hospitalized in the Chinese PLA Joint Logistic Support Force 901st Hospital between Feb-ruary 2020 and March 2023 were enrolled.According to prognosis within 6 months after treatment,patients were divided into favorable outcome group and unfavorable outcome group.Serum levels of CysC,D-D and NINJ1 were measured upon admission.Multivariate Logistic regression analysis was conducted to identify the factors influencing unfavorable outcome in AMI patients.Receiver operating characteristic(ROC)curves were used to analyze the pre-dictive value of serum NINJ1,CysC and D-D for the prognosis of AMI patients.A nomogram model for predicting unfavorable outcome in AMI patients was constructed and verified.Results:Compared to patients with favorable outcomes,those with unfavorable outcomes had significantly higher proportions of hypertension,diabetes,number of diseased coronary arteries ≥2,and serum levels of NINJ1,CysC and D-D,as well as a significantly lower pro-portion of Killip class Ⅰ-Ⅱ(P＜0.01 all).Multivariate Logistic regression analysis showed that number of diseased coronary arteries ≥2(OR=3.817,95％CI 1.140～12.779,P=0.030),Killip class Ⅲ-Ⅳ(OR=5.639,95％CI 1.706～18.637,P=0.005),hypertension(OR=4.188,95％CI 1.392～12.600,P=0.011),diabetes(OR=3.480,95％CI 1.148～10.552,P=0.028),and serum levels of NINJ1(OR=1.055,95％CI 1.009～1.103,P=0.018),CysC(OR=75.232,95％CI 5.537～545.908,P=0.003),and D-D(OR=56.163,95％CI 1.610～958.586,P=0.026)were significantly associated with unfavorable outcomes at 6 months in AMI patients.ROC a-nalysis showed that the AUC of serum NINJ1,CysC and D-D combined predicting unfavorable outcomes was 0.801(95％CI 0.718～0.869),which was significantly higher than those of serum NINJ1(0.675,95％CI 0.582～0.758)and D-D(0.676,95％CI 0.583～0.759)alone(Z=2.344,P=0.019;Z=2.173,P=0.030,),but the difference was not significant comparing to CysC alone(Z=1.856,P=0.064).The C-index of the nomogram model predic-ting unfavorable outcomes was 0.973(95％CI 0.967～0.986),and the predicted values of calibration curve were consistent with the actual values,indicating good prediction accuracy.Conclusion:Elevated serum levels of NINJ1,CysC and D-D in AMI patients were significantly associated with unfavorable outcomes.Combined detection of these indicators may accurately predict unfavorable outcomes compared to single detection,and the constructed no-mogram model exhibits good prediction efficacy.