Objective To explore the latent profiles of kinesiophobia among patients with peritoneal dialysis and analyze the influencing factors of different categories.Methods A convenience sampling method was used to select peritoneal dialysis patients treated in the outpatient and ward of nephrology department in 7 tertiary A hospitals in Jiangsu Province from December 2023 to March 2024.General data questionnaire,Tampa Kinesiophobia-11 Scale,Exercise Self-efficacy Scale,Exercise Social Support Scale and Self-Rating Anxiety Scale were used for investigation.Results A total of 291 cases were included,and 3 potential categories of kinesiophobia were finally identified,namely low kinesiophobia-active exercise group(20.96％),high kinesiophobia-exercise avoidance group(24.06％),and moderate kinesiophobia-general exercise group(54.98％).Exercise self-efficacy,exercise social support,anxiety,monthly per capita household income,marital status and daily number of dialysis dose were influencing factors of kinesiophobia in peritoneal dialysis patients(P＜0.05).Conclusion There are significant category characteristics of kinesiophobia in patients with peritoneal dialysis.Medical staff should judge the category and influencing factors of kinesiophobia in time,and take targeted interventions to reduce the level of kinesiophobia in patients.

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 investigate the value of intraoperative ultrasound radiomics for predicting isocitrate dehydrogenase 1(IDH1)mutation of high-grade glioma.Methods Ninety-five patients with high-grade glioma(WHO grade Ⅲ and Ⅳ)who underwent craniotomy glioma resection and ultrasound assisted tumor localization during operation and then confirmed by pathology were retrospectively enrolled.The patients were divided into training set(n=66,including 24 IDH1 mutation type and 42 IDH1 wild type)and validation set(n=29,including 11 IDH1 mutation type and 18 IDH1 wild type)at the ratio of 7∶3.Based on intraoperative ultrasound,radiomics features were extracted,the best ones were screened,and a radiomics model was established for predicting IDH1 mutation of high-grade glioma using random forest algorithm.Receiver operating characteristic(ROC)curve was plotted,the area under the curve(AUC)was calculated to evaluate the predictive efficacy of the model,and decision curve analysis(DCA)was used to evaluate the clinical value of the model.Results A total of 851 radiomics features were extracted based on intraoperative ultrasound,and finally 5 best ones were screened out to construct a radiomics model.The AUC of the radiomics model for predicting IDH1 mutation of high-grade glioma in training and validation sets was 0.902 and 0.707,respectively,with no significant difference(P=0.097).DCA maps showed that the clinical net benefit of the radiomics model was high.Conclusion Intraoperative ultrasound radiomics could effectively predict IDH1 mutation of high-grade glioma.

Objective To explore the latent profiles of kinesiophobia among patients with peritoneal dialysis and analyze the influencing factors of different categories.Methods A convenience sampling method was used to select peritoneal dialysis patients treated in the outpatient and ward of nephrology department in 7 tertiary A hospitals in Jiangsu Province from December 2023 to March 2024.General data questionnaire,Tampa Kinesiophobia-11 Scale,Exercise Self-efficacy Scale,Exercise Social Support Scale and Self-Rating Anxiety Scale were used for investigation.Results A total of 291 cases were included,and 3 potential categories of kinesiophobia were finally identified,namely low kinesiophobia-active exercise group(20.96％),high kinesiophobia-exercise avoidance group(24.06％),and moderate kinesiophobia-general exercise group(54.98％).Exercise self-efficacy,exercise social support,anxiety,monthly per capita household income,marital status and daily number of dialysis dose were influencing factors of kinesiophobia in peritoneal dialysis patients(P＜0.05).Conclusion There are significant category characteristics of kinesiophobia in patients with peritoneal dialysis.Medical staff should judge the category and influencing factors of kinesiophobia in time,and take targeted interventions to reduce the level of kinesiophobia in patients.

Background and Aims:Tumor deposits(TDs)may influence prognosis beyond the current 8th edition AJCC pTNM nodal classification in gastric cancer(GC).This study investigates the prognostic value of TD number and proposes an improved pN staging(mpN)that classifies patients with TD number>1 as pN3b.We validated the mpN staging against the 8th AJCC pN staging.Methods:A dual-center retrospective cohort study was performed,including 1 327 patients who underwent radical gastrectomy at Sun Yat-sen University Cancer Center(2011-2015;test cohort)and 340 patients from Guangdong Provincial People's Hospital(2015-2022;validation cohort).Patients were dichotomized into low-TD(≤1)and high-TD(>1)groups.Outcomes were overall survival(OS)and disease-free survival(DFS).Survival analyses used Kaplan-Meier curves,IPTW,and Cox regression.Predictive performance of staging systems was assessed by time-dependent ROC(tROC)/tAUC,concordance index(C-index)and Akaike information criterion(AIC).Results:TDs were present in 435/1 327(32.7%)in the test cohort.Presence of TD was associated with worse OS(IPTW-adjusted HR=2.69,95%CI=2.18-3.31,P<0.01)and DFS(HR=2.82,95%CI=2.32-3.42,P<0.01).In multivariable models,TD remained an independent adverse factor for OS(HR=1.65,95%CI=1.34-2.05;P<0.01)and DFS(HR=1.74,95%CI=1.43-2.11,P<0.01).Increasing TD number correlated with progressively poorer survival;X-tile identified>1 as an optimal cutoff,with high-TD patients showing markedly worse outcomes(OS:adjusted HR=3.65,95%CI=2.74-4.88;DFS:adjusted HR=3.74,95%CI=2.85-4.91;both P<0.01).Incorporation of TD number into the mpN staging(assigning TD>1 to pN3b)improved prognostic discrimination:in the test cohort 5-year OS tAUC was 0.746 for mpN vs.0.703 for AJCC pN(C-index 0.738 vs.0.721,AIC 5 805.27 vs.5 849.30);similar improvements were observed in the validation cohort.Conclusion:TD presence and number exert significant negative prognostic impact in GC.Classifying patients with TD number>1 as pN3b enhances prognostic accuracy.Routine reporting of TD counts and further prospective multicenter validation of mpN staging are warranted.

Objective To observe the characteristic symptoms in breast cancer-bearing mice and the beneficial effect of ginger-processed Jiangxiangru polysaccharides on traditional Chinese medical symptoms.Methods Thirty-eight mice were used for modeling and divided into normal,model,positive,and low-,medium-,and high-dose ginger-processed Jiangxiangru polysaccharide groups.Mice in the normal group were not inoculated with tumors and mice in the normal and model groups received physiological saline intragastrically.Mice in the positive group received celecoxib solution intragastrically,and mice in the low-,medium-,and high-dose groups received the same dose but different concentrations of ginger-processed Jiangxiangru polysaccharide solution intragastrically.Changes in body weight and tumor size were recorded after 4 weeks of continuous administration.Symptoms were observed at the end of the experiment.RGB values in photographs of the tongues,tails,and claws from mice in each group were analyzed and recorded.The degrees of blood deficiency,yin deficiency,and tumor phlegm stasis were calculated based on the method of quantitative dialectical diagnosis.The tumors were isolated and weighed,and the tumor volume and inhibition rate were calculated to determine the beneficial effect of ginger-processed Jiangxiangru polysaccharides on traditional Chinese medical symptoms.Results Mice in the breast cancer model group showed signs of blood deficiency,yin deficiency,and phlegm stasis.Tumor size was significantly reduced in mice in the ginger-processed Jiangxiangru polysaccharide groups.Ginger-processed Jiangxiangru polysaccharides inhibited tumor growth and improved blood deficiency,yin deficiency,and tumor phlegm stasis in breast cancer-bearing mice,with the best result in the high-dose group.Conclusions Ginger-processed Jiangxiangru polysaccharides can improve the symptoms of blood deficiency,yin deficiency,and tumor phlegm stasis in breast cancer-bearing mice,especially at high doses.

Objective To investigate the value of intraoperative ultrasound radiomics for predicting isocitrate dehydrogenase 1(IDH1)mutation of high-grade glioma.Methods Ninety-five patients with high-grade glioma(WHO grade Ⅲ and Ⅳ)who underwent craniotomy glioma resection and ultrasound assisted tumor localization during operation and then confirmed by pathology were retrospectively enrolled.The patients were divided into training set(n=66,including 24 IDH1 mutation type and 42 IDH1 wild type)and validation set(n=29,including 11 IDH1 mutation type and 18 IDH1 wild type)at the ratio of 7∶3.Based on intraoperative ultrasound,radiomics features were extracted,the best ones were screened,and a radiomics model was established for predicting IDH1 mutation of high-grade glioma using random forest algorithm.Receiver operating characteristic(ROC)curve was plotted,the area under the curve(AUC)was calculated to evaluate the predictive efficacy of the model,and decision curve analysis(DCA)was used to evaluate the clinical value of the model.Results A total of 851 radiomics features were extracted based on intraoperative ultrasound,and finally 5 best ones were screened out to construct a radiomics model.The AUC of the radiomics model for predicting IDH1 mutation of high-grade glioma in training and validation sets was 0.902 and 0.707,respectively,with no significant difference(P=0.097).DCA maps showed that the clinical net benefit of the radiomics model was high.Conclusion Intraoperative ultrasound radiomics could effectively predict IDH1 mutation of high-grade glioma.

Objective To observe the characteristic symptoms in breast cancer-bearing mice and the beneficial effect of ginger-processed Jiangxiangru polysaccharides on traditional Chinese medical symptoms.Methods Thirty-eight mice were used for modeling and divided into normal,model,positive,and low-,medium-,and high-dose ginger-processed Jiangxiangru polysaccharide groups.Mice in the normal group were not inoculated with tumors and mice in the normal and model groups received physiological saline intragastrically.Mice in the positive group received celecoxib solution intragastrically,and mice in the low-,medium-,and high-dose groups received the same dose but different concentrations of ginger-processed Jiangxiangru polysaccharide solution intragastrically.Changes in body weight and tumor size were recorded after 4 weeks of continuous administration.Symptoms were observed at the end of the experiment.RGB values in photographs of the tongues,tails,and claws from mice in each group were analyzed and recorded.The degrees of blood deficiency,yin deficiency,and tumor phlegm stasis were calculated based on the method of quantitative dialectical diagnosis.The tumors were isolated and weighed,and the tumor volume and inhibition rate were calculated to determine the beneficial effect of ginger-processed Jiangxiangru polysaccharides on traditional Chinese medical symptoms.Results Mice in the breast cancer model group showed signs of blood deficiency,yin deficiency,and phlegm stasis.Tumor size was significantly reduced in mice in the ginger-processed Jiangxiangru polysaccharide groups.Ginger-processed Jiangxiangru polysaccharides inhibited tumor growth and improved blood deficiency,yin deficiency,and tumor phlegm stasis in breast cancer-bearing mice,with the best result in the high-dose group.Conclusions Ginger-processed Jiangxiangru polysaccharides can improve the symptoms of blood deficiency,yin deficiency,and tumor phlegm stasis in breast cancer-bearing mice,especially at high doses.

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.

Background and Aims:Tumor deposits(TDs)may influence prognosis beyond the current 8th edition AJCC pTNM nodal classification in gastric cancer(GC).This study investigates the prognostic value of TD number and proposes an improved pN staging(mpN)that classifies patients with TD number>1 as pN3b.We validated the mpN staging against the 8th AJCC pN staging.Methods:A dual-center retrospective cohort study was performed,including 1 327 patients who underwent radical gastrectomy at Sun Yat-sen University Cancer Center(2011-2015;test cohort)and 340 patients from Guangdong Provincial People's Hospital(2015-2022;validation cohort).Patients were dichotomized into low-TD(≤1)and high-TD(>1)groups.Outcomes were overall survival(OS)and disease-free survival(DFS).Survival analyses used Kaplan-Meier curves,IPTW,and Cox regression.Predictive performance of staging systems was assessed by time-dependent ROC(tROC)/tAUC,concordance index(C-index)and Akaike information criterion(AIC).Results:TDs were present in 435/1 327(32.7%)in the test cohort.Presence of TD was associated with worse OS(IPTW-adjusted HR=2.69,95%CI=2.18-3.31,P<0.01)and DFS(HR=2.82,95%CI=2.32-3.42,P<0.01).In multivariable models,TD remained an independent adverse factor for OS(HR=1.65,95%CI=1.34-2.05;P<0.01)and DFS(HR=1.74,95%CI=1.43-2.11,P<0.01).Increasing TD number correlated with progressively poorer survival;X-tile identified>1 as an optimal cutoff,with high-TD patients showing markedly worse outcomes(OS:adjusted HR=3.65,95%CI=2.74-4.88;DFS:adjusted HR=3.74,95%CI=2.85-4.91;both P<0.01).Incorporation of TD number into the mpN staging(assigning TD>1 to pN3b)improved prognostic discrimination:in the test cohort 5-year OS tAUC was 0.746 for mpN vs.0.703 for AJCC pN(C-index 0.738 vs.0.721,AIC 5 805.27 vs.5 849.30);similar improvements were observed in the validation cohort.Conclusion:TD presence and number exert significant negative prognostic impact in GC.Classifying patients with TD number>1 as pN3b enhances prognostic accuracy.Routine reporting of TD counts and further prospective multicenter validation of mpN staging are warranted.