Objective: To investigate the mediating role of children s sleep quality in the association between mother-child relationship and the executive function of preschool children, providing a reference for promoting the development of the executive function of preschool children. Methods: A stratified cluster sampling method was used to select 842 preschoolers from 12 kindergartens in Wuhu City, Anhui Province in December 2021 as the subjects of the first follow up study with follow up every six months thereafter. Finally, 746 children were included in the study after 3 follow up. Spearman correlation analysis was used to explore the associations among mother-child relationship, sleep quality and executive function in preschool children. Bootstrap program and PROCESS software were applied to test the mediating effect of sleep quality in the association between mother-child relationship and the executive function of preschool children. Results: Conflictual mother-child relationship was positively correlated with the total score of executive function, as well as scores of inhibitory, shifting, emotional control, working memory, and organizational planning ( r=0.40, 0.37, 0.36, 0.41, 0.38 , 0.34, all P <0.05). Dependent mother-child relationship was positively correlated with the total score of executive function, as well as scores of inhibitory, shifting, emotional control, working memory , and organizational planning ( r=0.23, 0.20, 0.21, 0.22 , 0.22, 0.19, all P <0.05). Sleep quality was positively correlated with the total executive function score ( r=0.27, P <0.01). After adjusting for confounding factors, sleep quality played a partial mediating role in the associations between dependent and conflictual mother-child relationships and executive function, the mediating effects were 19.40% and 11.22% respectively. Conclusions Sleep quality plays a mediating role in the association between mother-child relationship and the executive function of preschool children. Improving sleep quality in the early stage can promote the executive function of preschool children.

Objective To describe and analyze the epidemiological characteristics of scrub typhus in Huai'an, Jiangsu Province from 2006 to 2024 and explore the long-term incidence trend and distribution of high-risk areas, and to formulate targeted prevention and control strategies. Methods The scrub typhus case report data of Huai'an from 2006 to 2024 in the Chinese Disease Prevention and Control Information System were extracted for descriptive analysis. Results A total of 898 cases of scrub typhus were reported in Huai'an, with an average annual incidence rate of 0.96 per 100 000 from 2006 to 2024. There was a turning point in the incidence trend of scrub typhus in 2011. From 2006 to 2011, the annual percentage change (APC) was 47.09% (95% CI: 7.53 - 859.39), and the upward trend was statistically significant (P < 0.05). From 2012 to 2024, the APC was -2.12% (95% CI: -29.09 - 3.75), and the downward trend was not statistically significant. October and November were the high-incidence months, and the total concentration from 2006 to 2024 was 0.93, indicating that scrub typhus had strict seasonality. The circular distribution method estimated that the peak period of the epidemic was from October 11th to November 25th, and the peak day of incidence was November 3rd. Jinhu County was a high-incidence area. The ratio of male to female cases was 1.03. The age group with the highest reported incidence was 40 to < 80 years old. The occupation with the highest proportion was farmers, accounting for 78.03%. Conclusion From 2006 to 2024, scrub typhus in Huai'an shows a peak every 3 - 4 years. Middle-aged and elderly farmers are the key population at risk, and Jinhu County is a key area. In the future, targeted health education should be carried out to effectively control the prevalence of scrub typhus.

Psoriasis is an incurable chronic inflammatory disease that requires new interventions. Here, we found that fibroblasts exacerbate psoriasis progression by promoting macrophage recruitment via CCL2 secretion by single-cell multi-omics analysis. The natural small molecule celastrol was screened to interfere with the secretion of CCL2 by fibroblasts and improve the psoriasis-like symptoms in both murine and cynomolgus monkey models. Mechanistically, celastrol directly bound to the low-density lipoprotein receptor-related protein 1 (LRP1) β-chain and abolished its binding to the transcription factor c-Jun in the nucleus, which in turn inhibited CCL2 production by skin fibroblasts, blocked fibroblast-macrophage crosstalk, and ameliorated psoriasis progression. Notably, fibroblast-specific LRP1 knockout mice exhibited a significant reduction in psoriasis like inflammation. Taken together, from clinical samples and combined with various mouse models, we revealed the pathogenesis of psoriasis from the perspective of fibroblast-macrophage crosstalk, and provided a foundation for LRP1 as a novel potential target for psoriasis treatment.

With the medical insurance payment system undergoes continuous reform,tertiary public hospitals are confronted with the dual challenge of medical service provision and economic operation mode.The implementa-tion of Diagnosis Related Groups(DRG)and Disease-Intervention Packet(DIP)payment reform represents a com-plex,systemic.The traditional management model dominated by a single functional department of the hospital is diffi-cult to effectively cope with the complex affairs brought about by the DRG/DIP payment method reform.It is impera-tive to innovate the management mechanism and introduce a novel collaborative governance model.To harness the synergistic effects of multiple internal management entities,including cultural integration,organizational alignment,process coordination,and incentive alignment,thereby advancing the modernization of hospital management sys-tems and enhancing managerial efficacy.

Objective To observe the value of machine learning(ML)models based on ultrasound radiomics for preoperatively distinguishing atypical parathyroid tumor(APT)/parathyroid carcinoma(PC)and parathyroid adenoma(PA).Methods Totally 330 primary hyperparathyroidism patients who underwent surgical treatments were retrospectively enrolled and categorized into APT/PC group(n=78)and PA group(n=252)according to surgical pathology and clinical follow-up results,also divided into training set(n=231)and test set(n=99)at the ratio of 7∶3.Based on preoperative ultrasound,545 radiomics features were extracted,and recursive feature elimination(RFE),Kruskal-Wallis or analysis of variance methods were used to screen the features,respectively.Support vector machine(SVM),linear discriminant analysis(LDA),least absolute shrinkage and selection operator logistic regression(LRLASSO),also random forest(RF)and decision tree(DT)algorithms were adopted to construct ML models for differentiating APT/PC and PA,respectively.Then the models were trained in training set,their performance were verified in test set,and a 5-fold cross-validation was adopted to screen out the better combinations.Results Compared with Kruskal-Wallis and analysis of variance methods,the distinguishing efficacy of SVM,LDA,LRLASSO,RF and DT models constructed based on features screened out using RFE method in training set(area under the curve[AUC]=0.870,0.878,0.850,0.847,1.000)and test set(AUC=0.856,0.842,0.827,0.847 and 0.704)were all relatively higher.In test set,the AUC of SVM,LDA,LRLASSO and RF models constructed based on the features screened out using RFE method(included 25,23,17 and 23 features)were all higher than that of DT model(8 features)(all P＜0.001).No significant difference of AUC was found between SVM,LRLASSO or RF models and LDA model(all P＞0.05).The AUC of SVM and RF models were higher than that of LRLASSO model(both P＜0.05),while of SVM and RF models were not significantly different(P＞0.05),indicating that SVM,LDA and RF models were better ones.Conclusion SVM,LDA,LRLASSO,RF and DT models based on ultrasound radiomics could effectively distinguish APT/PC and PA preoperatively,among which SVM,LDA and RF models had better diagnostic efficacy.

Objective To explore the mechanism of Bushen Zhupai Decoction in treating ovarian fibrosis in polycystic ovary syndrome(PCOS)model rats based on IL-17/TRAF6/NF-κB signaling pathway.Methods Totally 60 SPF grade female SD rats were randomly divided into blank group,model group,Yousiyue group and TCM low-,medium-and high-dosage groups,with 10 rats in each group.The PCOS model was replicated by gavage of 1 mg/kg letrozole for 21 days.The Yousiyue group was given a 10 mg/kg solution of drospirenone ethinylestradiol tablets by gavage,TCM low-,medium-and high-dosage groups were given 8.82,17.64 and 35.28 g/kg of Bushen Zhupai Decoction by gavage,once a day for 28 consecutive days.HE and Masson staining were used to observe the morphology of ovarian tissue and ovarian fibrosis,the contents of serum IL-17,IL-18 and IL-1β were detected by ELISA,the mRNA expression of IL-17,TRAF6,NF-κB p65 and TGF-β1 in ovarian tissue were determined by RT-qPCR,the protein expression of TRAF6,NF-κB p65,TGF-β1,α-SMA,E-cadherin and the positive expression of IL-17RA,TRAF6,NF-κB p65,TGF-β1 and α-SMA in ovarian tissue were detected by Western blot and immunohistochemical staining respectively.Results Compared with the blank group,the body mass,ovarian mass and ovarian index significantly increased of rats in model group,with follicular cystic dilation,thinning of granulosa cell layer,and significant increase in fibrosis positive range(P<0.01),the serum contents of IL-17,IL-18 and IL-1β significantly increased(P<0.01),the expressions of IL-17,TRAF6,NF-κB p65,TGF-β1 mRNA and IL-17RA,TRAF6,NF-κB p65,TGF-β1 and α-SMA proteins significantly increased(P<0.01,P<0.05),the expression of E-cadherin protein significantly decreased(P<0.01).Compared with the model group,the ovarian index of rats in Yousiyue group and TCM medium-and high-dosage groups significantly decreased(P<0.01,P<0.05),the rats in TCM high-dosage group showed dominant follicles,increased thickness of granulosa cell layer,and significantly reduced fibrosis positive range(P<0.01),the serum contents of IL-17,IL-18 and IL-1β significantly decreased in Yousiyue group and TCM low-,medium-and high-dosage groups(P<0.01),the mRNA expressions of IL-17,TRAF6,NF-κB p65,TGF-β1,and the protein expressions of IL-17RA,TRAF6,NF-κB p65,TGF-β1 and α-SMA in ovarian tissue significantly decreaed in TCM high-dosage group(P<0.01,P<0.05),the expression of E-cadherin protein significantly increased(P<0.01).Conclusion Bushen Zhupai Decoction can decrease the body mass,improve the ovarian index,decrease the expressions of inflammatory factors and improve the status of ovarian fibrosis in PCOS rats.The mechanism may be related to the regulation of IL-17/TRAF6/NF-κB signaling pathway.

Objective To explore the mechanism of Bushen Zhupai Decoction in treating ovarian fibrosis in polycystic ovary syndrome(PCOS)model rats based on IL-17/TRAF6/NF-κB signaling pathway.Methods Totally 60 SPF grade female SD rats were randomly divided into blank group,model group,Yousiyue group and TCM low-,medium-and high-dosage groups,with 10 rats in each group.The PCOS model was replicated by gavage of 1 mg/kg letrozole for 21 days.The Yousiyue group was given a 10 mg/kg solution of drospirenone ethinylestradiol tablets by gavage,TCM low-,medium-and high-dosage groups were given 8.82,17.64 and 35.28 g/kg of Bushen Zhupai Decoction by gavage,once a day for 28 consecutive days.HE and Masson staining were used to observe the morphology of ovarian tissue and ovarian fibrosis,the contents of serum IL-17,IL-18 and IL-1β were detected by ELISA,the mRNA expression of IL-17,TRAF6,NF-κB p65 and TGF-β1 in ovarian tissue were determined by RT-qPCR,the protein expression of TRAF6,NF-κB p65,TGF-β1,α-SMA,E-cadherin and the positive expression of IL-17RA,TRAF6,NF-κB p65,TGF-β1 and α-SMA in ovarian tissue were detected by Western blot and immunohistochemical staining respectively.Results Compared with the blank group,the body mass,ovarian mass and ovarian index significantly increased of rats in model group,with follicular cystic dilation,thinning of granulosa cell layer,and significant increase in fibrosis positive range(P<0.01),the serum contents of IL-17,IL-18 and IL-1β significantly increased(P<0.01),the expressions of IL-17,TRAF6,NF-κB p65,TGF-β1 mRNA and IL-17RA,TRAF6,NF-κB p65,TGF-β1 and α-SMA proteins significantly increased(P<0.01,P<0.05),the expression of E-cadherin protein significantly decreased(P<0.01).Compared with the model group,the ovarian index of rats in Yousiyue group and TCM medium-and high-dosage groups significantly decreased(P<0.01,P<0.05),the rats in TCM high-dosage group showed dominant follicles,increased thickness of granulosa cell layer,and significantly reduced fibrosis positive range(P<0.01),the serum contents of IL-17,IL-18 and IL-1β significantly decreased in Yousiyue group and TCM low-,medium-and high-dosage groups(P<0.01),the mRNA expressions of IL-17,TRAF6,NF-κB p65,TGF-β1,and the protein expressions of IL-17RA,TRAF6,NF-κB p65,TGF-β1 and α-SMA in ovarian tissue significantly decreaed in TCM high-dosage group(P<0.01,P<0.05),the expression of E-cadherin protein significantly increased(P<0.01).Conclusion Bushen Zhupai Decoction can decrease the body mass,improve the ovarian index,decrease the expressions of inflammatory factors and improve the status of ovarian fibrosis in PCOS rats.The mechanism may be related to the regulation of IL-17/TRAF6/NF-κB signaling pathway.

With the medical insurance payment system undergoes continuous reform,tertiary public hospitals are confronted with the dual challenge of medical service provision and economic operation mode.The implementa-tion of Diagnosis Related Groups(DRG)and Disease-Intervention Packet(DIP)payment reform represents a com-plex,systemic.The traditional management model dominated by a single functional department of the hospital is diffi-cult to effectively cope with the complex affairs brought about by the DRG/DIP payment method reform.It is impera-tive to innovate the management mechanism and introduce a novel collaborative governance model.To harness the synergistic effects of multiple internal management entities,including cultural integration,organizational alignment,process coordination,and incentive alignment,thereby advancing the modernization of hospital management sys-tems and enhancing managerial efficacy.

Objective To observe the value of machine learning(ML)models based on ultrasound radiomics for preoperatively distinguishing atypical parathyroid tumor(APT)/parathyroid carcinoma(PC)and parathyroid adenoma(PA).Methods Totally 330 primary hyperparathyroidism patients who underwent surgical treatments were retrospectively enrolled and categorized into APT/PC group(n=78)and PA group(n=252)according to surgical pathology and clinical follow-up results,also divided into training set(n=231)and test set(n=99)at the ratio of 7∶3.Based on preoperative ultrasound,545 radiomics features were extracted,and recursive feature elimination(RFE),Kruskal-Wallis or analysis of variance methods were used to screen the features,respectively.Support vector machine(SVM),linear discriminant analysis(LDA),least absolute shrinkage and selection operator logistic regression(LRLASSO),also random forest(RF)and decision tree(DT)algorithms were adopted to construct ML models for differentiating APT/PC and PA,respectively.Then the models were trained in training set,their performance were verified in test set,and a 5-fold cross-validation was adopted to screen out the better combinations.Results Compared with Kruskal-Wallis and analysis of variance methods,the distinguishing efficacy of SVM,LDA,LRLASSO,RF and DT models constructed based on features screened out using RFE method in training set(area under the curve[AUC]=0.870,0.878,0.850,0.847,1.000)and test set(AUC=0.856,0.842,0.827,0.847 and 0.704)were all relatively higher.In test set,the AUC of SVM,LDA,LRLASSO and RF models constructed based on the features screened out using RFE method(included 25,23,17 and 23 features)were all higher than that of DT model(8 features)(all P＜0.001).No significant difference of AUC was found between SVM,LRLASSO or RF models and LDA model(all P＞0.05).The AUC of SVM and RF models were higher than that of LRLASSO model(both P＜0.05),while of SVM and RF models were not significantly different(P＞0.05),indicating that SVM,LDA and RF models were better ones.Conclusion SVM,LDA,LRLASSO,RF and DT models based on ultrasound radiomics could effectively distinguish APT/PC and PA preoperatively,among which SVM,LDA and RF models had better diagnostic efficacy.

Objective:To establish a nomogram for preoperative differentiating intrahepatic cholangiocarcinoma (ICC) from hepatocellular carcinoma (HCC) based on clinical, ultrasound, and contrast-enhanced ultrasound (CEUS) data.Methods:A retrospective analysis was conducted on ultrasound and CEUS data of 462 patients who underwent hepatectomy in Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School from January 2016 to December 2023, including 262 cases of HCC (56.7%) and 200 cases of ICC (43.3%). The data were randomly divided into training set ( n=324) and validation set ( n=138) in a 7∶3 ratio. Univariate analysis was used to initially screen for variables with statistically significant differences between HCC and ICC groups in the training set, and LASSO regression was performed to select the variables with higher coefficients. Logistic regression analyses were then used to predict independent risk factors for ICC. A nomogram was drawn using R software. The performance of the nomogram was then validated using ROC curve, calibration curve, and decision curve analysis (DCA). Results:Univariate analysis showed that there were significant differences in age, gender, liver cirrhosis, HBsAg (+ ), ALP >185 U/L, CA19-9 >27 kU/L, CA242>10 kU/L, irregular shape, border, cholangiectasis, portal vein tumor thrombus, enhanced pattern in arterial phase, clearance time <60 s, intra-tumoral vein between ICC and HCC groups (all P<0.05). The top 10 features were selected for LASSO regression analysis. Logistic regression analysis revealed that gender, cirrhosis, CA19-9>27 kU/L, CA242>10 kU/L, cholangiectasis, clearance time <60 s, intra-tumoral vein and enhanced pattern in arterial phase were risk factors for ICC (all P<0.05). The area under the ROC curve in the training and validation groups were 0.963 and 0.914, respectively. In the training group, the specificity and sensitivity of the nomogram were 0.926 and 0.917, respectively, and in the validation group, they were 0.875 and 0.871, respectively. The calibration curve showed that the prediction effect of the model was in good agreement with the actual situation. DCA showed that the nomogram could increase the net benefit to the different diagnosis of ICC in patients. Conclusions:The nomogram based on clinical, ultrasound and CEUS features has a good predictive value for preoperative identification of ICC and provides reliable evidence for clinical practice.