Objective To evaluate the predictive value of a nomogram model developed by integrating clinical and ultrasound multiparameters for HER-2-positive breast cancer.Methods This study retrospectively enrolled 343 patients with pathologically confirmed breast cancer from three medical centers and randomly divided them into training and validation cohorts.Univariate analysis,LASSO regression,and multivariate logistic regres-sion were conducted on the training set to identify independent prognostic factors and construct a nomogram model.Bootstrap resampling with 1000 iterations was performed to evaluate the model's robustness.Model calibration was assessed using calibration curves and the Hosmer-Lemeshow goodness-of-fit test.Receiver operating characteristic(ROC)curves were generated to evaluate model discrimination,and the area under the curve(AUC)along with other performance metrics were calculated.Decision curve analysis was employed to assess the clinical utility of the model,and the validation cohort was used for external validation.Results Univariate,LASSO,and multivariate regression analyses demonstrated that age,TTP(time to peak),and the presence of a filling defect sign were independent predictors of HER-2-positive breast cancer(all P<0.05).Based on these independent predictors,a nomogram model was constructed.Bootstrap validation with 1,000 resamples indicated that the model's predictive performance was stable.The Hosmer-Lemeshow test confirmed satisfactory model calibration,while the calibration curve illustrated accurate prediction probabilities.The area under the curve(AUC)for the training set was 0.863(95%CI:0.806～0.920),and for the validation set,it was 0.846(95%CI:0.764～0.929),indicating strong discriminative and generalization capabilities.Additionally,the clinical decision curve analysis demonstrated favor-able clinical utility.Conclusion A nomogram model integrating clinical and multimodal ultrasound parameters demonstrates potential utility in predicting HER-2-positive breast cancer.

Objective To develop a postoperative self-management question prompt list for adult liver transplant recipients and conduct preliminary application,aiming to provide an effective tool for facilitating their engagement in postoperative self-management.Methods From August to September 2024,the first draft of the postoperative self-management question prompt list for adult liver transplant recipients was developed through literature search and qualitative interviews,including 9 primary items and 50 secondary items.From October to November 2024,16 experts from Qingdao,Jinan,Beijing,and Fuzhou were interviewed on the Delphi method for 2 rounds to revise the question prompt list.From February to March 2025,19 patients after liver transplantation were selected for the preliminary application of the question prompt list.Results The response rates in the 2 rounds of consultations were both 100％and the authority coefficients of experts were both 0.88.The Kendall's W in the 2 rounds was 0.336 and 0.344(P＜0.001),respectively.The final question prompt list includes 9 primary items and 49 secondary items.The study showed that QPL demonstrated high clinical practicability in helping patients systematically understand the self-management framework after liver transplantation,promoting doctor-patient communication,and enhancing the initiative of self-management.Conclusion The question prompt list of postoperative self-management for adult liver transplant recipients established in this study is scientific,reliable,and practical,which is helpful for patients to obtain information about self-management from medical staff.

Objective To investigate the factors influencing hyperdynamic circulation-related indicators in patients with liver cirrhosis and ascites.Methods A retrospective analysis was conducted on the clinical data of 377 patients diagnosed with cirrhosis-associated ascites at the Third People's Hospital of Kunming between October 2022 and October 2024.Patients were categorized into grade 1,grade 2,and grade 3 ascites groups according to ascites severity grading.The general demographic characteristics and clinical parameters of the three groups were compared.Potential positive predictors were initially identified through univariate analyses,including Spearman correlation and non-parametric tests.Binary logistic regression and multiple linear regression models were subsequently employed to investigate the factors influencing high dynamic circulation-related indicators(heart rate[HR],E/A ratio,and left ventricular diastolic function[LVDF])in patients with cirrhosis-related ascites.Results Significant differences in the incidence of HR,the ratio of early to late diastolic filling velocities(E/A),and LVDF were observed among different ascites groups(P<0.05).Age,ascites depth,serum chloride(Cl-),CO2,red cell distribution width coefficient of variation(RDW-CV),and etiology were identified as independent determinants of HR in patients with liver cirrhosis and ascites.Age,white blood cell count(WBC),albumin(ALB),and etiology were independent determinants of E/A in patients with liver cirrhosis and ascites.Age(OR=1.088,95%CI 1.062-1.114,P<0.001)and serum potassium(K+)(OR=1.919,95%CI 1.218-3.025,P=0.005)were independent risk factors for LVDF in patients with cirrhotic ascites,whereas RDW-CV(OR=0.902,95%CI 0.883-0.961,P=0.023)and ALB(OR=0.921,95%CI 0.883-0.961,P<0.001)were identified as protective factors.Conclusions Serum ALB is an independent influencing factor for E/A ratio and LVDF in cirrhotic patients with ascites and hyperdynamic circulation.K+and RDW-CV are also independent predictors of LVDF,whereas Cl-independently influences heart rate.Clinical monitoring and targeted intervention for these parameters should be emphasized.

Objective To evaluate the predictive value of a nomogram model developed by integrating clinical and ultrasound multiparameters for HER-2-positive breast cancer.Methods This study retrospectively enrolled 343 patients with pathologically confirmed breast cancer from three medical centers and randomly divided them into training and validation cohorts.Univariate analysis,LASSO regression,and multivariate logistic regres-sion were conducted on the training set to identify independent prognostic factors and construct a nomogram model.Bootstrap resampling with 1000 iterations was performed to evaluate the model's robustness.Model calibration was assessed using calibration curves and the Hosmer-Lemeshow goodness-of-fit test.Receiver operating characteristic(ROC)curves were generated to evaluate model discrimination,and the area under the curve(AUC)along with other performance metrics were calculated.Decision curve analysis was employed to assess the clinical utility of the model,and the validation cohort was used for external validation.Results Univariate,LASSO,and multivariate regression analyses demonstrated that age,TTP(time to peak),and the presence of a filling defect sign were independent predictors of HER-2-positive breast cancer(all P<0.05).Based on these independent predictors,a nomogram model was constructed.Bootstrap validation with 1,000 resamples indicated that the model's predictive performance was stable.The Hosmer-Lemeshow test confirmed satisfactory model calibration,while the calibration curve illustrated accurate prediction probabilities.The area under the curve(AUC)for the training set was 0.863(95%CI:0.806～0.920),and for the validation set,it was 0.846(95%CI:0.764～0.929),indicating strong discriminative and generalization capabilities.Additionally,the clinical decision curve analysis demonstrated favor-able clinical utility.Conclusion A nomogram model integrating clinical and multimodal ultrasound parameters demonstrates potential utility in predicting HER-2-positive breast cancer.

Autoimmunity and the activation of immune cells are closely related to the occurrence of chronic spontaneous urticaria, while the gut microbiota participates in multiple physiological activities including the regulation of the host's immunity. Gut microbiota in patients with chronic spontaneous urticaria has unique structural composition and metabolic features. Gut microbiota imbalance and secondary short-chain fatty acid deficiency may be important causes for the occurrence of the disease and aggravation of inflammation. Studies have shown that probiotics can improve the clinical manifestations of patients with urticaria. This review summarizes the research progress in the correlations of gut microbiota and short-chain fatty acids with chronic spontaneous urticaria.

Objective To explore the relationship between corrected QT interval(QTc)and short-term mortality rate in patients with cirrhotic ascites and the predictive value of QTc combined with Child-Pugh class for short-term death.Methods Patients hospitalized with cirrhotic ascites from October 2022 to March 2024 were selected as study subjects(training set,n=245),and similar patients from April to October 2024 were included for external validation(validation set,n=88).Patients'demographic data,basic clinical data,and first electrocardiography related indicators on admission were collected.Patients were divided into a death group and a survival group according to the 30-day follow-up result.The influencing factors for prognosis were explored by Lasso regression and univariate and multivariate binary logistic regression.A death risk nomogram model was constructed and evaluated by receiver operating characteristic curve(ROC curve),calibration curve,and decision curve.Data were analyzed for normality using Shapiro-Wilk test.Pairwise comparison for continuous data that were normally distributed was conducted by the independent-samples t test.Pairwise comparison for continuous data that were not normally distributed was conducted by the Mann-Whitney U test.Pairwise comparison for categorical data was performed using the chi-square test.Results The mortality rates were 35.1%(86/245)in the training set and 30.7%(27/88)in the validation set.Lasso regression showed that combined tumor,QTc,hematocrit,total bilirubin(TBil),direct bilirubin,alkaline phosphatase,albumin,cholinesterase,high-density lipoprotein cholesterol,carcinoembryonic antigen,international normalized ratio,model for end-stage liver disease(MELD),and Child-Pugh class were potential influencing factors for 30-day death in patients with cirrhotic ascites.Univariate and multivariate logistic regression showed that QTc(odds ratio[OR]=1.010,95%confidence interval[CI]:1.001-1.020,P=0.039),presence of tumor(OR=6.904,95%CI:2.997-12.391,P<0.001),TBil(OR=1.009,95%CI:1.004-1.014,P=0.001),and Child-Pugh class(OR=2.532,95%CI:1.256-5.105,P=0.009)were independent risk factors for 30-day death in patients with cirrhotic ascites.For the nomogram model constructed based on the results of the multivariate logistic analysis,the area under the ROC curve in the training set was 0.824;the sensitivity and specificity were 81.1%and 74.4%,respectively;the Hosmer-Lemeshow goodness-of-fit test showed P=0.673;the mean absolute error of the calibration curve was 0.020.The area under the ROC curve in the validation set was 0.886;the sensitivity and specificity were 91.8%and 70.4%,respectively;the Hosmer-Lemeshow goodness-of-fit test showed P=0.965;the mean absolute error of the calibration curve was 0.032.With the threshold probability of 0.15 to 0.85,the decision curve suggested a good benefit.The area under the ROC curve of the predictive model(0.824)was greater than conventional MELD score(0.700),MELD-Na score(0.698),and Child-Pugh score(0.674)(all P<0.05).Conclusion QTc is an independent predictor of short-term death in patients with cirrhotic ascites,and the prognostic model including QTc and Child-Pugh class has a good predictive value for short-term mortality rate.

Background The residues of pharmaceutical and personal care products (PPCPs) in aquatic environments have become an increasingly prominent urban pollution issue, attracting widespread attention. The analysis of PPCPs pollution in water environments holds profound implications in Zhengzhou, a strategically important city in central China. Objective To analyze the pollution characteristics of PPCPs, such as antidepressants and antibiotics, in rivers of Zhengzhou and assess associated ecological risk. Methods Water samples were collected from three rivers of Zhengzhou, and 13 PPCPs (5 antibiotics and 8 antidepressants) were analyzed quantitatively by high performance liquid chromatography-triple quadrupole mass spectrometry (HPLC-MS/MS) after automatic solid phase extraction. Risk quotient (RQ) was applied to assess ecological risk of PPCPs with high concentration. Results The primary antibiotics pollutants were norfloxacin and ofloxacin, both with a detection rate of 100%. Among antidepressants, venlafaxine and citalopram showed the highest detection rates at 92.3% and 88.5%, respectively. The detected antibiotics with the highest average concentrations included ofloxacin and sulfamethoxazole with concentrations of 99.8 ng·L⁻¹and 96.2 ng·L⁻¹, respectively, while antidepressants venlafaxine and citalopram were detected with the highest average concentrations of 15.2 ng·L⁻¹and 1.35 ng·L⁻¹, respectively. The inter-river comparisons revealed statistically significant differences in contaminant loads (P<0.05). The sums of average PPCP concentrations at sampling points in the Jialu River and Suoxu River were 83.4 ng·L⁻¹ and 100.4 ng·L⁻¹, respectively. The Xiaoqing River exhibited higher pollution levels than both the Jialu and Suoxu Rivers, with a total average concentration of 478.4 ng·L⁻¹, where ofloxacin and sulfamethoxazole were identified as the predominant pollutants. The results of ecological risk assessment indicated the RQ contributed by sulfamethoxazole ranged between 0.50−0.95 in the Xiaoqing River, suggesting a controllable risk but requiring prioritized mitigation strategies. The RQ values of norfloxacin were distributed within the range of 0.10-0.30, indicating a moderate ecological risk. The RQ values for ofloxacin and venlafaxine remained below 0.10, indicating a lower risk level. Conclusion PPCPs contamination is positive in the rivers of Zhengzhou, and sulfamethoxazole and ofloxacin are the primary cantaminants. The Xiaoqing River exhibits the highest pollution levels. The initial risk assessment show that sulfamethoxazole and norfloxacin pose potential ecological risks, requiring prioritized contamination management.

Objective: To explore effects of cumulative family risk in university students on individuals internalizing problems, to elucidate the mediating roles of perceived social support and self esteem in the relationship, so as to provide a basis for promoting university student s mental health. Methods: Using longitudinal design, 1 207 freshmen from a university in Tianjin were randomly selected and surveyed in November 2023 (T1) and November 2024 (T2). The instruments included the Cumulative Family Risk Scale, the Perceived Social Support Scale, the Self esteem Scale, and the College Student Mental Health Screening Scale. Structural equation modeling (SEM) was constructed, with Bootstrap method used to test mediating effects and to examine gender differences. Results: The results showed that cumulative family risk at T1 with internalizing problems at T1( r =0.30) and internalizing problems at T2 ( r =0.32) were significantly positively correlated (both P <0.01). Mediation analysis indicated that the independent mediating effect of perceived social support at T1，cumulative family risk at T1 and internalizing problems at T2 was 0.03 (95% CI =0.02-0.05), and the independent mediating effect of self esteem at T1 was 0.08 (95% CI = 0.06 -0.10) (both P <0.05). The chain mediating effect of perceived social support and self esteem at T1 was 0.02 (95% CI =0.02-0.03) ( P <0.05). Significant gender differences were observed in the path from cumulative family risk to self esteem ( β male =-0.24, β female =-0.35) and in the path from perceived social support to self esteem ( β male =0.41, β female =0.25) (all P <0.05). Conclusion Cumulative family risk reduces internalizing behaviors in university students via internal and external development resources, with gender specific mechanisms.

Objective To explore the relationship between corrected QT interval(QTc)and short-term mortality rate in patients with cirrhotic ascites and the predictive value of QTc combined with Child-Pugh class for short-term death.Methods Patients hospitalized with cirrhotic ascites from October 2022 to March 2024 were selected as study subjects(training set,n=245),and similar patients from April to October 2024 were included for external validation(validation set,n=88).Patients'demographic data,basic clinical data,and first electrocardiography related indicators on admission were collected.Patients were divided into a death group and a survival group according to the 30-day follow-up result.The influencing factors for prognosis were explored by Lasso regression and univariate and multivariate binary logistic regression.A death risk nomogram model was constructed and evaluated by receiver operating characteristic curve(ROC curve),calibration curve,and decision curve.Data were analyzed for normality using Shapiro-Wilk test.Pairwise comparison for continuous data that were normally distributed was conducted by the independent-samples t test.Pairwise comparison for continuous data that were not normally distributed was conducted by the Mann-Whitney U test.Pairwise comparison for categorical data was performed using the chi-square test.Results The mortality rates were 35.1%(86/245)in the training set and 30.7%(27/88)in the validation set.Lasso regression showed that combined tumor,QTc,hematocrit,total bilirubin(TBil),direct bilirubin,alkaline phosphatase,albumin,cholinesterase,high-density lipoprotein cholesterol,carcinoembryonic antigen,international normalized ratio,model for end-stage liver disease(MELD),and Child-Pugh class were potential influencing factors for 30-day death in patients with cirrhotic ascites.Univariate and multivariate logistic regression showed that QTc(odds ratio[OR]=1.010,95%confidence interval[CI]:1.001-1.020,P=0.039),presence of tumor(OR=6.904,95%CI:2.997-12.391,P<0.001),TBil(OR=1.009,95%CI:1.004-1.014,P=0.001),and Child-Pugh class(OR=2.532,95%CI:1.256-5.105,P=0.009)were independent risk factors for 30-day death in patients with cirrhotic ascites.For the nomogram model constructed based on the results of the multivariate logistic analysis,the area under the ROC curve in the training set was 0.824;the sensitivity and specificity were 81.1%and 74.4%,respectively;the Hosmer-Lemeshow goodness-of-fit test showed P=0.673;the mean absolute error of the calibration curve was 0.020.The area under the ROC curve in the validation set was 0.886;the sensitivity and specificity were 91.8%and 70.4%,respectively;the Hosmer-Lemeshow goodness-of-fit test showed P=0.965;the mean absolute error of the calibration curve was 0.032.With the threshold probability of 0.15 to 0.85,the decision curve suggested a good benefit.The area under the ROC curve of the predictive model(0.824)was greater than conventional MELD score(0.700),MELD-Na score(0.698),and Child-Pugh score(0.674)(all P<0.05).Conclusion QTc is an independent predictor of short-term death in patients with cirrhotic ascites,and the prognostic model including QTc and Child-Pugh class has a good predictive value for short-term mortality rate.